Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 29 April 2022
Sec. Food Microbiology
This article is part of the Research Topic Campylobacter-associated Food Safety View all 32 articles

Zoonotic Transmission of Campylobacter jejuni to Caretakers From Sick Pen Calves Carrying a Mixed Population of Strains With and Without Guillain Barré Syndrome-Associated Lipooligosaccharide Loci

\r\nJessica L. St. Charles,Jessica L. St. Charles1,2Phillip T. Brooks,,,Phillip T. Brooks1,2,3,4Julia A. BellJulia A. Bell1Husnain Ahmed,Husnain Ahmed1,2Mia Van AllenMia Van Allen1Shannon D. ManningShannon D. Manning5Linda S. Mansfield,,,,*Linda S. Mansfield1,2,3,4,5*
  • 1Comparative Enteric Diseases Laboratory, Department of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI, United States
  • 2Comparative Medicine and Integrative Biology, College of Veterinary Medicine, Michigan State University, East Lansing, MI, United States
  • 3Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, United States
  • 4College of Veterinary Medicine, Michigan State University, East Lansing, MI, United States
  • 5Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, United States

Campylobacter jejuni causes foodborne gastroenteritis and may trigger acute autoimmune sequelae including Guillain Barré Syndrome. Onset of neuromuscular paralysis is associated with exposure to C. jejuni lipooligosaccharide (LOS) classes A, B, C, D, and E that mimic and evoke antibodies against gangliosides on myelin and axons of peripheral nerves. Family members managing a Michigan dairy operation reported recurring C. jejuni gastroenteritis. Because dairy cattle are known to shed C. jejuni, we hypothesized that calves in the sick pen were the source of human infections. Fecal samples obtained from twenty-five calves, one dog, and one asymptomatic family member were cultured for Campylobacter. C. jejuni isolates were obtained from thirteen calves and the family member: C. coli from two calves, and C. hyointestinalis from two calves. Some calves had diarrhea; most were clinically normal. Typing of lipooligosaccharide biosynthetic loci showed that eight calf C. jejuni isolates fell into classes A, B, and C. Two calf isolates and the human isolate possessed LOS class E, associated mainly with enteric disease and rarely with Guillain Barré Syndrome. Multi-locus sequence typing, porA and flaA typing, and whole genome comparisons of the thirteen C. jejuni isolates indicated that the three LOS class E strains that included the human isolate were closely related, indicating zoonotic transmission. Whole-genome comparisons revealed that isolates differed in virulence gene content, particularly in loci encoding biosynthesis of surface structures. Family members experienced diarrheal illness repeatedly over 2 years, yet none experienced GBS despite exposure to calves carrying invasive C. jejuni with LOS known to elicit antiganglioside autoantibodies.

Introduction

Campylobacter jejuni is the leading cause of human bacterial gastrointestinal infection in the Western world (Sahin et al., 2002; Church Potter and Kaneene, 2003; Vegosen et al., 2012). It is estimated that 2.1–2.5 million cases of campylobacterosis occur annually in the U.S. (Fitzgerald et al., 2001). Symptoms of C. jejuni infection include fever, abdominal cramping, and watery or bloody diarrhea (Altekruse et al., 1999; Sahin et al., 2002). The majority of C. jejuni infections are the result of ingestion of undercooked chicken, but it has been shown that contact with household pets and the ingestion of raw milk, contaminated water, or undercooked beef or pork can lead to infection (Altekruse et al., 1999; Sahin et al., 2002). Campylobacter spp. are widely spread in agricultural environments; poultry and farm animals are natural reservoirs for C. jejuni (Fitzgerald et al., 2001; French et al., 2005; Sheppard et al., 2011b; Sproston et al., 2011; Mourkas et al., 2020). C. jejuni has been isolated from the intestines of chickens and found in the feces of domesticated household pets, beef cattle, and dairy cattle (Fitzgerald et al., 2001; Vegosen et al., 2012). C. jejuni has also been detected in bulk tank milk (Bianchini et al., 2014a).

Dairy products are associated with C. jejuni outbreaks, while poultry products are associated with sporadic infections (Jay-Russell et al., 2013). Data for 2012–2018 from the US Centers for Disease and Prevention National Outbreak Reporting System (Centers for Disease Control and Prevention, 2018) indicate that of 352 Campylobacter outbreaks in 2012 through 2018, 56 (16%) were listed as confirmed or suspected to be due to animal contact. Of these 56 outbreaks, thirty were associated with consumption of dairy or beef products; two were associated with mixed infections of Campylobacter with either Giardia or Salmonella. Three outbreaks were confirmed to have been associated with consumption of unpasteurized milk (Centers for Disease Control and Prevention, 2018). C. jejuni has been detected in bulk tank milk on a farm producing raw milk for human consumption (Bianchini et al., 2014a).

A Swiss study examined 395 calves from cow-calf farms for enteropathogenic bacteria and showed that C. jejuni was present in 32% of the calves (Busato et al., 1999). Results of a molecular typing study of C. jejuni isolates from farm animals by Fitzgerald and colleagues demonstrated a link between Campylobacter isolates from farm animals with isolates from human cases within the community (Fitzgerald et al., 2001). Other studies have shown a correlation between C. jejuni infections and people exposed to farm animals (Kapperud et al., 1992; Friedman et al., 2004). A recent detailed study of Campylobacter in cattle revealed Campylobacter prevalences of approximately 59% in one large Michigan dairy herd and 62% and 84% in two beef herds (Cha et al., 2017).

Many studies over the past decade have examined C. jejuni populations in agricultural cattle in many countries worldwide. Most of these studies have been focused on determining prevalence and antimicrobial resistance patterns, with molecular verification methods usually including PCR confirmation of selected virulence-associated genes. Fewer authors have reported detailed multilocus sequence typing of collections of C. jejuni strains isolated from dairy or beef cattle and comparison of the types discovered to types found in human clinical isolates from the same geographic region. Molecular typing methods have included multilocus sequence typing (MLST), pulsed field electrophoresis (PFGE), flaA or flaB restriction fragment polymorphism (RFLP) analysis, comparative genomic fingerprinting (CGF), and whole genomic sequencing (WGS); many papers report results from more than one method, and many studies included antibiotic resistance profiling by either molecular or phenotypic methods. Only a few studies have included or been focused specifically on calves.

These studies have been performed in Africa [Nigeria (Ngulukun et al., 2016), Ethiopia (Nigatu et al., 2015; Hagos et al., 2021), South Africa (Karama et al., 2020)], Eastern Asia [China (Ju et al., 2018; Zang et al., 2021a), Japan (Ono, 2013; Mori et al., 2015; Kiatsomphob et al., 2019), Malaysia (Premarathne et al., 2017), South Korea (Dong et al., 2016; An et al., 2018)], Western Asia [Iraq (Khalifa et al., 2013a,b; Al-Edany et al., 2015) and India (Rajagunalan et al., 2014)], Europe [Austria (Klein-Joebstl et al., 2016), France (Thepault et al., 2018), Italy (Bianchini et al., 2014a,b), Latvia (Meistere et al., 2019; Terentjeva et al., 2019), Lithuania (Ramonaite et al., 2017; Aksomaitiene et al., 2019), Poland (Wieczorek and Osek, 2018), Spain (Ocejo et al., 2019), Sweden (Hansson et al., 2021), New Zealand (Rapp et al., 2012; Irshad et al., 2016)], and North America [Canada (Webb et al., 2018; Farfan et al., 2019; Inglis et al., 2020), and the United States (Cha et al., 2016; Tang et al., 2017)].

These studies can be broadly summarized as follows. Although the arrays of molecular sequence types varied between locations, not surprisingly, most authors found similar C. jejuni sequence types circulating both in cattle populations and among human clinical isolates in the geographic region studied. Antibiotic resistance was widespread in most studies in which it was examined, with many isolates carrying resistance to multiple antibiotics. Overall, considerable variation has been found in the number of positive animals, the amount of Campylobacter shed per positive animal, the constancy or intermittency of shedding, and the seasonality of shedding. Results were similar in those few studies focused specifically on calves or on a mixture of young and adult animals in which calves and adults were reported separately rather than studies focused on only adult cattle or on undifferentiated mixtures of ages (Klein-Joebstl et al., 2016; Meistere et al., 2019; Terentjeva et al., 2019; Hansson et al., 2021). The most relevant studies for comparison to the isolates reported here are those of Cha et al. (2016, 2017) and Rodrigues et al. (2021) in Michigan, United States. One dairy and two beef herds were studied; 22 C. jejuni STs were detected among 148 isolates from cattle; eight STs in this collection were also detected in a contemporaneous collection of 94 human clinical isolates from the Michigan Department of Health and Human Services (Cha et al., 2016), including four of the five sequence types recovered from calves in the small study reported here. Cha et al. (2017) concluded that cattle could be an important reservoir of C. jejuni in Michigan.

Guillain Barré Syndrome (GBS) is an acute neuromuscular autoimmune disease of the peripheral nervous system and is the most common cause of acute flaccid paralysis since the near eradication of polio (Church Potter and Kaneene, 2003; Poropatich et al., 2010). Symptoms may start with limb weakness and loss of tendon reflexes, but may develop into paralysis of the limbs, trunk, and facial muscles; 25% of patients may require mechanical ventilation (Hughes and Rees, 1994; Jacobs et al., 2008; Walling and Dickson, 2013). Ten to twenty percent of patients do not completely recover and have life-long disabilities; 3–10% die (Ang et al., 2004; Walling and Dickson, 2013). It has been estimated that the annual incidence of GBS is 1–2 people per 100,000 people in North America and Europe (Shui et al., 2012).

Guillain Barré Syndrome commonly develops following gastrointestinal infection with C. jejuni; one systematic review of published studies determined that C. jejuni infection preceded 13–72% of GBS cases (Poropatich et al., 2010). Molecular mimicry of lipo-oligosaccharide (LOS) structures found on the outer membrane of C. jejuni resembling gangliosides enriched in nervous tissue is thought to be the mechanism behind the pathogenesis of GBS (Ang et al., 2004; Szymanski and Gaynor, 2012). In particular, development of GBS has been associated with sialylation of LOS by the CMP-N-acetylneuraminate-beta-galactosamide-alpha-2,3-sialyltransferase (EC 2.4.99.-) and CMP-N-acetylneuraminate-beta-galactosamide-alpha-2,3, alpha 2,8-sialyltransferase (EC 2.4.99.-) enzymes encoded by cstII and cstIII (Godschalk et al., 2007; Yuki, 2007). Enhanced risk of developing GBS has been recognized in agricultural workers who handle poultry and cattle. For example, Price et al. (2007) demonstrated an increase in development of peripheral neuropathy in people who work with poultry, and Vegosen et al. (2012) demonstrated that neurological symptoms associated with exposure to C. jejuni are more commonly reported among people who handle beef cattle. In addition, Vegosen et al. (2015) found that farm workers exposed to swine, which also often carry C. jejuni, had a trend toward increased levels of antibodies reactive with C. jejuni compared to non-farm workers. These farm workers did not exhibit increased levels of antibodies reactive with five different neurogangliosides; however, the LOS type(s) of C. jejuni circulating in the swine was(were) not known. These results indicate that it is possible for exposure to farm animals carrying C. jejuni with GBS-associated LOS types to trigger the formation of anti-ganglioside antibodies. In addition to LOS, some heat stable (HS) Penner serotypes of C. jejuni, derived from the capsule, have been associated with the development of GBS (Poly et al., 2011; Heikema et al., 2015; Poly et al., 2015; Liang et al., 2016). A survey by Zang et al. (2021a,b) found such serotypes prevalent in livestock in China, including in cattle.

In this study, residents of a family-owned southwest Michigan dairy farm complained of recurring C. jejuni infections over a course of 2 years. Stool samples were taken from 25 calves and 1 dog on the dairy farm and tested for presence of C. jejuni. Thirteen of twenty-five calves tested positive for C. jejuni (52%). We hypothesized that transmission of C. jejuni was occurring between the family members and the calves. To test this hypothesis, we used multiple molecular typing schemes to determine the genetic relationships among the C. jejuni isolates. Isolates were examined using multi-locus sequence typing (MLST), LOS locus class determination by PCR, flaA SVR typing, and porA typing.

Materials and Methods

Case Study

Residents of a family-owned mid-sized dairy farm in mid-Michigan reported C. jejuni infection among the family that lasted several days in summer, 2012. The family had experienced previous recurring C. jejuni infections for the previous 2 years. A veterinarian obtained 2 stool samples from dairy calves to eliminate them as possible carriers of C. jejuni and sent the samples to the Veterinary Diagnostic Laboratory (VDL) at Michigan State University (MSU) in East Lansing, MI, United States. Using bacteriological tests, VDL staff confirmed that the stool samples were positive for C. jejuni. VDL staff then contacted our laboratory, the Comparative Enteric Disease Laboratory at MSU. We contacted the veterinarian, who obtained 25 randomly chosen calf samples along with one stool sample from the family dog and sent them directly to our laboratory. While this was done following the calf sampling, we participated in a human study that was performed for people living in contact with cattle in Michigan. These are referenced in the paper.

Ethics Statement

All protocols were approved by the Institutional Review Boards at MSU (IRB# 10-736SM) and the MDHHS (842-PHALAB).

Campylobacter Isolation

Stool samples from the calves and dog were subcultured on Tryptone soy agar plates containing 5% sheep’s blood (Cleveland Scientific, Bath, OH, United States) and supplemented with antibiotics (TSA-CVA: 20 μg/mL cefoperazone, 10 μg/mL vancomycin and 2 μg/mL amphotericin B) upon arrival. All human clinical isolates were subcultured onto Bolton agar (Bolton Broth, Thermo Fisher Scientific, Pittsburgh, PA, United States) containing 1.5% Bacteriological Agar (Neogen, Lansing, MI, United States) upon arrival in the laboratory. All plates were placed in anaerobic jars containing CampyGen packs (Oxoid, Basingstoke, United Kingdom) and incubated for 48 h at 37°C. Isolates were selected and streaked again for growth in Tryptone Soy agar (TSA) and purification; bacterial growth was collected and stored at –80°C in TSB + 15% glycerol until further use.

Preparation of Genomic DNA and Confirmation of Campylobacter spp.

Following growth on Bolton agar for 48 h at 37°C in anaerobic jars with CampyGen packs, DNA was extracted using Wizard® Genomic DNA Purification Kits (Promega, Madison, WI, United States) according to the manufacturer’s instructions. All genomic DNA was diluted to a final concentration of 25 ng/μl for PCR.

Identification of Campylobacter isolates as C. jejuni or C. coli was performed with multiplex PCR as previously described (Linton et al., 1996). Hot Start Syzygy Mean Green DNA polymerase was used (Integrated Scientific Solutions, San Diego, CA, United States). The reaction had an enzyme activation step of 15 min at 95°C followed by 25 cycles of denaturation for 30 s at 95°C, annealing for 1.5 min at 58°C, and extension for 1 min at 72°C, with a final extension of 7 min at 72°C.

Multi-Locus Sequence Typing, porA, and flaA Short Variable Regions Typing

Multi-locus sequence typing based on 7 conserved housekeeping genes (Dingle et al., 2001) was performed on DNA from the calf isolates as previously described (Bell et al., 2009, 2013); only the inner primers were used to amplify the partial gene sequences. Platinum® Taq DNA Polymerase High Fidelity (Life Technologies, Grand Island, NY, United States) was used; primer concentrations used were 37.5 pmol. The PCR reaction contained 35 cycles of denaturation of 2 min at 95°C, annealing for 1 min at 50°C, followed by an extension for 1 min at 72°C. Human clinical isolates recovered by the MDHHS were previously characterized by MLST as described previously (Cha et al., 2016). Briefly, 10 μM of both the forward and reverse primer, 25 ng/μl of genomic DNA template, water, and the KAPA2G HotStart DNA polymerase (KAPABiosystems, Woburn, MA, United States) were used for the reaction. The reactions began with an enzyme activation step of 3 min at 95°C and consisted of 35 cycles of denaturation for 15 s at 95°C, annealing for 15 s at 60°C, and an extension for 5 s at 72°C.

porA allele typing was done using 7 different primers previously defined on the PubMLST website1 (Jolley and Maiden, 2010). The PCR reaction consisted of 40 cycles of denaturation for 30 s at 94°C followed by an annealing step for 30 s at 45°C and extension for 90 s at 72°C. Platinum® Taq DNA Polymerase High Fidelity (Life Technologies, Grand Island, NY, United States) was used with 40 pmol of primer.

The flaA short variable regions (SVR) sequence typing was done with Platinum® Taq DNA Polymerase High Fidelity (Life Technologies, Grand Island, NY, United States) and 40 pmol of primer. The PCR reaction consisted of a denaturation step at 94°C for 1 min, annealing at 45°C for 1 min, and extension for 3 min at 72°C for 35 cycles. The primers used were previously described (Meinersmann et al., 1997).

PCR products were purified with QIAquick PCR Purification Kit (Qiagen, Germantown, MD, United States) according to the manufacturer’s instructions and submitted for Sanger sequencing to the MSU Genomics Technology Support Facility (East Lansing, MI, United States) on an ABI 3730 Genetic Analyzer (Life Technologies, Grand Island, NY, United States). Each PCR product was sequenced in both the forward and reverse directions. SeqMan 5.06 (DNASTAR, Madison, WI, United States) software was used to align the sequences; the PubMLST website was used to determine allele, sequence type, and clonal complex assignments (Jolley and Maiden, 2010)2.

Classification of Lipooligosaccharide Biosynthesis Loci

Lipooligosaccharide typing was performed by long-range PCR and restriction fragment polymorphism (RFLP) analysis as previously described by Parker et al. (2005) using DNA samples extracted as described above. This method can differentiate LOS classes A through F. Parker et al. (2005, 2008) described 19 classes (A–S) of LOS based on gene content subsequently, Richards et al. (2013) described an additional four classes (T-W). LOS locus class typing was confirmed using sequence data from gene content analysis of whole genome sequences as described below.

Whole-Genome Sequencing and Analysis

DNA samples extracted as described above were submitted to the MSU RTSF for library construction and sequencing. Briefly, bacterial genomic DNA was prepared for sequencing using the TruSeq DNA Nano Library Preparation Kit (Illumina, San Diego, CA, United States). Libraries were subjected to quality control and quantitated using a Qubit dsDNA assay, Caliper LabChipGX and Kapa Library Quantitation qPCR Kit. Libraries were pooled in equimolar amounts and loaded on an Illumina MiSeq standard flow cell (v2). Sequencing was performed in a 2 × 250 bp paired end format with a 500-cycle reagent cartridge (v2). Base calling was done by Illumina Real Time Analysis (RTA) v1.18.54 and output of RTA was demultiplexed and converted to FastQ format with Illumina Bcl2fastq v1.8.4. The total number of reads was 16,751,374 and overall% ≥ Q30 was 88.4; sequence yield per genome is given in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Strains used in this study.

FastQ files were uploaded to the Pathosystems Resource Integration Center (PATRIC) system (Brettin et al., 2015; Wattam et al., 2018) on 11/15/2015, for quality checking and assembly followed by annotation, and analysis in Classic RAST. Accession numbers are given in Table 1.

Lipooligosaccharide biosynthesis loci were examined in the genome sequences by performing protein homology BLAST searches. Presence or absence of all 54 LOS open reading frames (orfs) described previously (Parker et al., 2005, 2008; Richards et al., 2013) was determined using the BLAST utility in RAST https://rast.nmpdr.org/ (Aziz et al., 2008; Overbeek et al., 2014; Brettin et al., 2015; Wattam et al., 2018). Accession numbers for query sequences and detailed results are given in Supplementary Table 1; E values ≤ 1 × 10––30 were taken as positive hits for this analysis. Content of the LOS complex loci in each isolate was determined by the presence or absence of contiguous open reading frames giving positive hits that contained homologs of orf1 [UDP-glucose 4-epimerase (EC 5.1.3.2)], orf 2 [Lipid A biosynthesis lauroyl acyltransferase (EC 2.3.1.-)], orf3 [Lipopolysaccharide heptosyltransferase I (EC 2.4.1.-)] and orfs 12 (beta-1,3-galactosyltransferase/beta-1,4-galactosyltransferase) and 13 [D-glycero-D-manno-heptose 1,7-bisphosphate phosphatase (EC 3.1.1.-)]. Multiple alignment of cstII and cstIII homologs was conducted using Clustal Omega3 (Sievers et al., 2011).

Presence and absence of LOS open reading frames and genomic complements of 1270 open reading frames with functions unambiguously identified by RAST were compared to the composition of the LOS classes defined in Parker et al. (2005, 2008) and Richards et al. (2013) using the Sorensen binary similarity coefficient and hierarchical clustering with unweighted pair groups and arithmetic averages (UPGMA) in PAST 2.12 software (Hammer et al., 2001). Multiple alignment of cstII and cstIII homologs was conducted using Clustal Omega (see footnote 4; Sievers et al., 2011). Sequences for known cstII and cstIII loci were obtained from GenBank (cstII, AF215639; strain ATCC43432, Houliston et al., 2006); cstIII, AF257460, strain MSC57360 (Guerry et al., 2000) and genome sequences AL111168.1 (strain 11168) and AANK00000000 (strain 260.94).

Sequence-based comparisons to the following C. coli and clinical C. jejuni isolates were made using tools in the RAST SEED database: C. coli RM2228, C. jejuni subsp. doylei 267.97, C. jejuni subsp. jejuni RM1221 (chicken), and C. jejuni subsp. jejuni clinical isolates 11168 and 81–176 (enteritis); 84–25 (meningitis); 260.94 and HB93-13 (Guillain Barré Syndrome); and CF93-13 (Miller Fisher Syndrome). RAST accession numbers are 306254, 360109, 195099, 192222, 354242.8, 360110.3, 360108.3, 360112.3, and 360111.3, respectively.

Virulence-associated gene content (virulome) was assessed as follows. Promoter (TTCTTTAAATTTTATGATTT TACAATGAAATTAGTTATAATTGTAGTTAGGAT) and termination sequences (TAGTAATGATAGTAATGA) were added to back-translated nucleotide sequences for virulence-associated loci in C. jejuni 11168 and other strains and the resulting sequences concatenated to form an artificial chromosome, which was uploaded into PATRIC (accession number 186572). Accession numbers of the sequences used are given in Supplementary Table 3; promoter and terminator sequences were developed based on prior reports (Wosten et al., 1998; Lodish et al., 2000). Protein identity comparisons of this artificial chromosome were made to all isolates using RAST; C. jejuni 11168 (RAST accession 192222.1) was included in each comparison for quality control checking.

Full data for (1) LOS locus gene content of calf and human isolates reported here, (2) whole genome content of calf and human isolates reported here plus C. jejuni clinical strains 11168, 260.94, HB93-13, CF93-6, 84-25, and 81-176, C. jejuni chicken isolate RM1221, C. jejuni subsp. doylei 269.97, and C. coli RM2228; and (3) virulence-associated gene content of calf and human isolates reported here plus C. jejuni clinical strains 11168, 260.94, HB93-13, CF93-6, 84-25, and 81-176 are provided in Supplementary Tables 13, respectively.

Gentamicin Killing Assay

1.5 × 106 Caco-2 cells were grown in Dulbecco’s modified Eagle’s (DMEM) medium with 10% FBS and 2 mM L-glutamine at 37°C and 5% CO2. At confluency, cells were dissociated from the flask using 3 ml trypsin-EDTA (0.25%), resuspended in the same medium, washed, counted, and plated in 20 well plates at approximately 5 × 104 cells per well (in 1 ml medium). Cells were incubated for 48 h at 37°C in 5% CO2 and used when confluency was ascertained. Three replicate wells of each experimental C. jejuni calf strain and the asymptomatic human strain (TW16491) strain were run with a negative control sham-inoculated with medium with no C. jejuni and three positive control wells with C. jejuni 11168 that is highly invasive. C. jejuni strains were then added at a multiplicity of infection of 100 followed by a 4-h incubation. For measuring invasion, cells were further incubated for 1 h with 250 μg/ml gentamicin, washed in PBS, lysed in 0.1% Triton X-100 and the released bacteria enumerated by serial dilution onto the surface of Bolton agar plates. Dilutions of 10–1, 10–2, 10–3, and 10–4 were streaked onto fresh Bolton agar plates and incubated for 48 h in 5% CO2. Then plates were removed from the incubator and colonies counted. On the day of infection of the Caco-2 cells the inocula for each C. jejuni strain were diluted in 10-fold dilutions and assayed by the same limiting dilution method to determine the actual number of cfu in the inoculum for each strain.

We also conducted a broth microdilution assay to determine the concentration of antibiotic necessary to kill the extracellular C. jejuni of all strains (11168, TW16491, LM01, LM08, LM11, LM12, LM24) in the gentamicin killing assay. Briefly, C. jejuni strains were grown for 48 h on Bolton agar plates in 5% CO2 at 37°C. Plates were swabbed and each strain suspended in 2 ml Bolton broth, the concentration determined at OD600 and the concentration adjusted to ∼1.0 at OD100. Thereafter, we diluted each strain suspension 1:10 in Bolton broth and added 10ul cell suspensions to each well of a 96 well plate according to the plate map. Based on previous titrations, about 1 × 106 cells were added per well. Then, Gentamicin was added to the 12 wells of each C. jejuni strain in decreasing concentrations from 400, 200, 100, 50, 25, 12.5, 8.375, 4.1875, 2.09, 1.04, 0 μg/ml. The plate was incubated for 20 h, in 5% CO2 at 37°C. Results of the broth microdilution method are reported in minimum inhibitory concentration (MIC), or the lowest concentration of antibiotics that stopped bacterial growth.

Results

Verification of Campylobacter jejuni and Clinical Illness

Seventeen of twenty-five calf stool samples were positive for Campylobacter spp.; the dog sample was negative. Two isolates recovered from the calves were identified as C. coli but were not examined further. The referring veterinarian who submitted the initial diagnostic calf samples reported that calves were in a sick pen because of intermittent diarrhea and no respiratory disease was evident. Calves were negative for viral and parasitic causes of diarrhea. Phone interviews revealed that it was a common practice during the 2-year period of diarrheal problems in the family to isolate calves with diarrhea in a pen in a barn near the house and that family members had cared for these calves over this time. Adult cattle on the farm were managed in a facility more distant from the calves by caretakers hired for this purpose. The referring veterinarian had ruled out the cows as the source of the family’s gastroenteritis, so no further diagnostics were done on cows.

Family members, three children and two parents, had no symptoms of C. jejuni infection at the time of stool sampling. Of the five family members, one of the children tested positive for C. jejuni; therefore, this child was considered an asymptomatic carrier. In previous studies, two of these family members with campylobacteriosis presented to a local hospital where C. jejuni isolates were obtained by MDHHS and characterized by the Manning laboratory (Cha et al., 2016; Rodrigues et al., 2021). Epidemiologic descriptions of these infections have been published (Cha et al., 2016; Rodrigues et al., 2021). In the first case, contact with cattle, dogs and cats was reported (Cha et al., 2016), while in the second case living in urban areas and traveling including international travel were reported (Rodrigues et al., 2021).

Fifteen calf isolates were tentatively identified as C. jejuni by multiplex PCR typing (Table 1). Genome sequences were obtained for these fifteen isolates as well as the human isolate. Species identifications were also confirmed by comparing ribosomal protein sequences to the PubMLST database4 (Jolley and Maiden, 2010; Jolley et al., 2012); two isolates (LM16 and LM20) were more likely to be C. hyointestinalis than C. jejuni (Table 1). Comparison of the LM16 16S rDNA sequence to all Campylobacter isolates in GenBank (Accessed March 2021) also indicated that the isolate was likely C. hyointestinalis. The more fragmentary nature of the genome sequences of C. hyointestinalis isolates LM16 and LM20 and C. jejuni isolate LM27 precluded extended analysis of those isolates.

Multilocus Sequence Typing Analysis, porA Allele Typing and flaA Short Variable Regions Sequence Typing, and Antibiotic Resistance

Multilocus sequence typing allelic profiles, flaA SVR, porA, and LOS typing results are shown in Table 2. Among all 13 isolates evaluated, five multilocus sequence types (STs) were identified that belonged to STs 806, 922, 929, 982, and 6227. ST assignments were confirmed using sequences extracted from the whole-genome sequences as well. The human isolate belonged to ST922 as did two other calf isolates. Members of each ST represented by multiple isolates had identical flaA and porA alleles with the exception of ST929; the three isolates of that ST all possessed different flaA alleles. Antibiotic resistance gene profiles extracted from the whole-genome sequences varied across the isolates and were consistent within STs except for isolate LM13. This isolate lacked putative aminoglycoside and tetracycline resistance genes found in the other three ST806 isolates (Table 3). The human isolate, TW16491, was previously found to be resistant to tetracycline, though aminoglycoside and β-lactam resistance was not evaluated (Cha et al., 2017).

TABLE 2
www.frontiersin.org

Table 2. Molecular typing of C. jejuni isolates.

TABLE 3
www.frontiersin.org

Table 3. Presence of ORFS encoding antibiotic resistance.

Clonal complex ST-21 accounted for half of the isolates in our study (STs 806, 982, and 6227).

Lipooligosaccharide Classification

PCR/RFLP typing of twelve different genes in LOS biosynthesis loci assigned the four ST806 isolates to class B2 and the three ST922 isolates to class E, including the family member isolate. One ST6227 isolate, one ST929 isolate, and the single ST982 isolate were assigned to class C. Another ST6227 isolate was assigned to A2. The remaining two ST929 isolates were assigned to class F. Calf isolates LM03 and LM12 were found to have the same LOS class (E), MLST sequence type (ST922).

An independent analysis was based on LOS biosynthesis locus gene content determined from whole genome sequencing (Figure 1 and Supplementary Table 1) by conducting TBLASTN searches for each of the 55 loci described by Parker et al. (2005, 2008) and Richards et al. (2013); E-values of 1 × 10–30 were considered positive hits. The complex LOS loci were defined as contiguous open reading frames containing homologs to orfs 1, 2, 12, and 13 as described by Parker et al. (2005). In the case of isolate LM26, homologous open reading frames (ORFs) were divided between two sets of contiguous loci. This analysis showed that calf isolates LM03 and LM12 and the human isolate TW16941 clustered together with LOS classes E, H, O, and P (79% of bootstrap replicates) and that the LOS locus gene contents of LM12 and TW16491 were identical. The remainder of the calf isolates clustered with LOS classes A, B, C, M, R, and V (60% of bootstrap replicates). Note that LOS classes A and B are differentiated by allelic sequence differences that are not accounted for in this presence/absence analysis (Parker et al., 2005).

FIGURE 1
www.frontiersin.org

Figure 1. Cluster analysis of LOS locus content in calf and human isolates. Clustering was performed In PAST 2.12 (Hammer et al., 2001) using the Sorensen coefficient and the unweighted pair groups with arithmetic averages method on presence/absence data for 55 LOS loci in LOS classes A through W as detailed by Parker et al. (2005, 2008) and Richards et al. (2013). Numbers at nodes indicate the percentage of 1000 bootstrap replicates that support that node. Full data appear in Supplementary Table 1.

Protein-to-protein identity data indicated that all calf isolates possessed homologs of the loci neuA, neuB, and neuC encoding neuraminic acid biosynthesis. LOS locus class E lacks the genes needed to synthesize sialic acid (neuA, neuB, neuC) and transfer it to the LOS outer core sugar resides (cstII/cstIII) (Parker et al., 2008); genomic analysis showed that isolates LM03, LM12, and TW16491 did potentially possess homologs to those five loci; however, the percent protein identity to the reference neuA, neuB, and neuC sequences was substantially lower than in other isolates in our sample.

In addition, a number of calf isolates possessed homologs to the enzymes α-2,3-sialyltransferase (cstIII) or α-2,3- and α-2,8- sialyltransferase (cstII); these enzymes attach neuraminic acid moieties to galactose residues in LOS to produce ganglioside mimics. Translation and alignment of the nucleotide sequences for those ORFs with known cstII and cstIII protein sequences showed that calf isolates LM05, LM08, LM 11, LM13, LM24, and LM 26 had intact homologs of the reference loci and contained Asn51 residues (Figure 2). Thus, those isolates are potentially capable of producing α-2, 3-, α-2,8- di-sialylated LOS (Godschalk et al., 2007). We also note that while two ORFs homologous to cstII/cstIII were detected in isolate LM01, the percent identities of the homologs in the ST922 isolates relative to the reference sequence were relatively low.

FIGURE 2
www.frontiersin.org

Figure 2. Alignment of translated calf isolate cstII/cstIII homologs to known loci. Clustal Omega alignment of cstII/cstIII homologs to known cstII and cstIII sequences (AF215659, AF257460, Cj26094_1202, and AL111168 Cj1140, respectively). The position of residue Asn51 is indicated.

Penner Serotypes

DNA sequence and primer information from Poly et al. (2011, 2015), was used to obtain the predicted PCR products expected for determination of each of eight heat stable (HS) Penner serotypes associated in the literature with GBS: HS1, HS2, HS4A, HS4B, HS19, HS23-36, HS41, and HS44 (Poly et al., 2011, 2015; Heikema et al., 2015; Liang et al., 2016). These predicted PCR products were used to probe the calf isolate genomes using BLAST. The two ST6227 strains (LOS types C and A2) and the ST982 strain (LOS type C) contained sequences with 100% homology to the probe for HS2, and the four ST806 (LOS type B2) strains contained sequences with 100% homology to the probes for both HS4A and HS4B. The ST929 and ST922 isolates reported here, including the human isolate TW16941, had no homology to any of the eight probes tested (Table 2).

Whole Genome Level Comparisons

Genetic relationships among the thirteen isolates reported here, six clinical C. jejuni strains, (260.94, HB93-13, CF93-6, 84-25, 81-176, and 11168), C. jejuni chicken isolate RM1221, C. jejuni subsp. doylei 269.97, and C. coli RM2228 were visualized using percent identity protein-to-protein sequence comparisons in RAST (Figure 3 and Supplementary Figure 1A though F, and Supplementary Table 2). C. jejuni strain RM1221 was used as the reference strain for all visual comparisons in Figure 3 so as to illustrate the presence or absence of genomic islands CJE1 through CJE4 described by Parker et al. (2006); strain NCTC 11168, which does not possess any of the genomic islands, was included as a further reference. Strain RM1221 does not appear on the image; gaps in the comparison of RM1221 to strain NCTC 11168 (inner circle) indicate their positions in the genome. A single representative of each ST was included in Figure 3 to simplify comparison to C. jejuni 11168; comparison of one strain of each ST to five additional clinical strains (260.94, HB93-13, CF93-6, 84-25, and 81-176) is shown in the Supplementary Figure 1A. Isolates within each ST had similar patterns; comparisons of isolates of each ST to the six clinical strains (260.94, HB93-13, CF93-6, 84-25, 81-176, and 11168) shown individually in the Supplementary Figure 1B through F. Like C. jejuni 11168, all ST922 and ST929 isolates and the ST982 isolate largely lacked all four genomic islands; ST806 and ST6227 isolates lacked islands CJE2 and CJE3 but possessed islands CJE1 and CJE4.

FIGURE 3
www.frontiersin.org

Figure 3. Comparison of percent protein identity of one representative strain of each ST to reference strain C. jejuni RM1221 as determined in RAST. Colors indicate protein percent identity of open reading frames within the strains of each sequence type in this study and C. jejuni 11168 (Parkhill et al., 2000) to reference strain C. jejuni RM1221 (Parker et al., 2006), which does not appear in the graph.

Because it had the largest genome among the 13 isolates whose genomes were examined, isolate LM01 was chosen as the reference strain for percent protein identity comparisons among the isolates described here. Results are given in Figures 4A,B and Supplementary Table 2. In summary, functions were unambiguously assigned to 1270 ORFs; 212 ORFs were designated as having probable, possible, or putative functions, and a further 424 were designated as hypothetical proteins. Seventy-four orfs were associated with plasmid or bacteriophage origins. When strain LM01 was used as the reference strain and presence or absence of the 1270 unambiguously identified ORFs scored, it appeared that, within the limits of short read sequencing technology, no two genomes had identical complements of ORFs (Figure 4A and Supplementary Table 2). It is also important to note that percent sequence identity comparisons should be interpreted with considerable caution, especially so in the case of the C. jejuni complex loci encoding biosynthesis of surface structures, which contain many intrachromosomal partial homologs (Parkhill et al., 2000; Parker et al., 2006). Nevertheless, this analysis again indicates the near identity of ST922 calf isolates LM03 and LM12 with the human isolate TW16491. Only eight of the 1270 ORFs having unambiguously identified functions differed among the three ST922 isolates (Table 4); the differences were minor except for aldehyde dehydrogenase A (EC 1.2.1.22)/glycolaldehyde dehydrogenase (EC 1.2.1.21) and 3-oxoacyl-[acyl-carrier-protein] synthase, KASIII (EC 2.3.1.41), TW16491 differed from LM03 or LM12 in those two ORFs. The divergence in the gene content of LM13 and LM26 from the other two ST806 isolates (LM08 and LM10) was unexpected.

FIGURE 4
www.frontiersin.org

Figure 4. Cluster analysis of content of 1270 unambiguously identified open reading frames in calf and human isolates. UPGMA clustering was performed as in Figure 1 using the Sorensen coefficient (presence/absence of homologs) on data for 1270 open reading frames in reference strain LM01 that had unambiguously defined functions as determined in RAST using isolate LM01 as the reference strain. Numbers at nodes indicate the percentage of 1000 bootstrap replicates that supported that node. Detailed data used in the cluster analyses are given in Supplementary Table 4. (A) Twelve calf isolates and TW16941; (B) twelve calf isolates, TW16491, and six clinical isolates: 11168 and 81-176 (enteritis); 84-25 (meningitis); 260.94 and HB93-13 (Guillain Barré Syndrome); and CF93-13 (Miller Fisher Syndrome). Full data appear in Supplementary Table 2.

TABLE 4
www.frontiersin.org

Table 4. Virulence-associated loci variable between ST922 isolates.

The dendrogram in Figure 4B shows a similar analysis of the 1270 unambiguously identified ORFs that includes clinical C. jejuni isolates 11168, 260.94, HB93-13, CF93-6, 84-25, 81-176, and C. jejuni chicken isolate RM1221, C. jejuni subsp. doylei 269.97, and C. coli RM2228. Full data appear in Supplementary Table 2. ST922, ST929, and ST6227 isolates clustered together, while ST806 isolates LM13 and LM26 were again separated in gene content from LM08 and LM10. All 13 isolates reported here clustered with all six clinical strains (11168, 84–25, CF93-6, 260.94, HB93-13, and 81–176) and separately from outgroup strains chicken isolate C. jejuni RM1221, C. jejuni subsp. doylei 269.97, and C. coli RM2228 (87% bootstrap support).

More detailed protein-to-protein BLAST comparisons were made of the isolate genomes to an updated set of C. jejuni virulence-associated loci (virulome; Jacobs et al., 2008; Baek et al., 2011; Buelow et al., 2011; Nielsen et al., 2011; Theoret et al., 2011, 2012; Barrero-Tobon and Hendrixson, 2012; Boehm et al., 2012; Cullen et al., 2012, 2013; Frirdich et al., 2012; Lertpiriyapong et al., 2012; Neal-McKinney and Konkel, 2012; Bell et al., 2013; Rasmussen et al., 2013; Salamaszynska-Guz et al., 2013; Samuelson and Konkel, 2013; Samuelson et al., 2013). ORFs not detected in one or more of the 13 isolates reported here are shown in Table 5. Full comparisons are presented visually in the dendrogram in Figure 5A and the heat map in Figure 5B; underlying data are given in Supplementary Table 3. The dendrogram in Figure 5A shows clustering based on presence or absence of 342 virulence-associated ORFs and includes clinical C. jejuni isolates 11168, 260.94, HB93-13, CF93-6, 84–25, and 81–176. ST922, ST929, and ST6227 isolates clustered together; in this analysis, ST806 isolates LM13 and LM26 were similar in virulence-associated gene content to LM08 and LM10. All thirteen isolates reported here clustered with clinical strains 11168, 84-25, and CF93-6 but were separated from isolates 260.94, HB93-13, and 81-176 (100% bootstrap support).

TABLE 5
www.frontiersin.org

Table 5. Protein percent ID between variable C. jejuni virulence-associated genes and open reading frames as determined in RAST.

FIGURE 5
www.frontiersin.org

Figure 5. Virulence-associated ORFs in calf and human isolates. (A) UPGMA clustering was performed as in Figure 1 using the Sorensen coefficient (presence/absence of homologs) on data for 342 ORFs associated with virulence in C. jejuni. (B) Heat map showing protein% identity of open reading frames in calf isolates to the C. jejuni virulome; variation within and between sequence types. Full data appear in Supplementary Table 3.

Data in Table 5 show that the presence or absence of most virulence associated ORFs was consistent within an ST. Differences within STs are shown in bold type. However, isolate LM26 possessed multiple ORFs that were not detected in the remaining three ST806 isolates but were found in isolates representing other STs in the sample set. In addition, isolate LM21 possessed homologs to Cj1325/1326 and Cj1677/1678 and isolate LM19 possessed a homolog to Cj1418 that were not detected in other ST929 isolates but were found in isolates belonging to other STs. These observations suggest the possibility of horizontal gene transfer at some point in the history of this population.

Presence/absence variation was most prevalent in loci associated with surface structures: four LOS biosynthesis loci, five O-linked glycosylation loci, and fourteen capsular biosynthesis loci. Loci associated with LOS and capsule biosynthesis and O-linked glycosylation comprise 31% of the 342 virulence-associated loci in the C. jejuni virulome but 58% of loci (showing presence/absence variation) of the homologous ORFs in the isolates studied here (Figure 5B and Supplementary Table 3). Only one non-surface structure encoding a virulence associated ORF, Cj1055c (phosphoglycerol transferase), that was absent in any of the calf isolates (ST929 strains), was not also absent in one or more clinical strains.

All Calf Isolates Were Capable of Invading a Caco-2 Cell Model of the Intestinal Epithelium

We hypothesized that all C. jejuni isolated from the calves were capable of infecting humans. To test this, a gentamicin killing assay was conducted to determine the invasive potential of the calf-derived C. jejuni isolates in comparison to the asymptomatic human isolate and C. jejuni strain 11168 known to be associated with gastroenteritis. Five calf C. jejuni isolates representing different ST groups (LM01-ST929, LM08-ST806, LM11-ST6227, LM12-ST922, LM24-ST982) were compared to human C. jejuni isolates TW16491 (asymptomatic family member-derived in this study) and 11168 (from a patient with gastroenteritis) for their ability to invade Caco-2 cells using a gentamicin killing assay. All calf-derived C. jejuni strains cultured for the inocula grew readily in Bolton broth and displayed similar cfus and darting motility in mid-log phase cultures. When inoculated onto Caco-2 cells at a multiplicity of infection of 100 cfu/cell, all strains were capable of invading cells (Table 6). Interestingly, calf-derived isolates LM01, LM08, LM11, and LM12 invaded at higher rates than the positive invasive control C. jejuni 11168. Furthermore, calf-derived strain LM24 invaded at the same efficiency as the asymptomatic family member-derived C. jejuni TW16491 at a rate one log lower than C. jejuni 11168 and all other calf-derived strains. Regardless, this assay demonstrated that all of the calf-derived strains were capable of invading human colonic epithelial cells. Moreover, calf-derived LM12 had higher invasive potential in vitro than the asymptomatic human-derived strain TW16941, which both had classes E, H, O, and P LOS locus gene content. Finally, highly invasive calf-derived LM01, LM08, and LM11 isolates clustered with LOS classes A, B, C, M, R, and V, which are LOS classes capable of producing the molecular mimicry leading to GBS. These result suggest that these calf isolates are capable of initiating human infections. Although some of these C. jejuni had higher potential than others for invasion in epithelial cultures, we recognize that this is not a direct test of invasiveness in the human GI tract, yet it is a reasonable ethical alternative. As a control, the broth microdilution method showed that the minimum inhibitory concentration of gentamicin for each C. jejuni strain was as follows: 11168 (4.2 μg/ml), TW16491 (1.0 μg/ml), LM01 (2.1 μg/ml), LM08 (4.2 μg/ml), LM11 (4.2 μg/ml), LM12 (1.0 μg/ml), and LM24 (2.1 μg/ml). Because we used 250 μg/ml gentamicin in each well in the gentamicin killing assay, all of the C. jejuni strains used in this study were susceptible to killing by the antibiotic. Thus, we can attribute the C. jejuni isolated in the limiting dilution assay to cells that have entered the intracellular compartment.

TABLE 6
www.frontiersin.org

Table 6. Comparison of invasion into Caco-2 intestinal epithelial cells of calf-derived and human-derived Campylobacter jejuni isolates with a variety of LOS types.

Discussion

Based on our results, the majority of the calf isolates belonged to LOS classes A, B, C, and E, which are most often associated with the development of GBS (Godschalk et al., 2007; Islam et al., 2009a,b). This result is consistent with previous studies of increased rates of neurological symptoms in farm workers. Two calf isolates and the isolate from the only family member colonized by C. jejuni had identical alleles for the seven MLST loci, flaA SVR, and porA as well as sharing antibiotic resistance loci; all three isolates belonged to LOS class E, indicating zoonotic transmission between family members and dairy calves. In addition, genome sequencing and analysis showed that 4 of 13 isolates carried a cstII allele containing an Asn51 substitution associated with GBS. Furthermore, all of the calf-derived strains were capable of invading human colonic epithelial cells. In fact, calf-derived isolates LM01, LM08, LM11, and LM12 invaded at higher rates than the positive invasive control C. jejuni 11168. Invasion potential existed in both LOS class E and A, B, C-typed strains associated with GBS diagnoses suggesting that any of these isolates could initiate a human infection. However, it should be noted that asymptomatic colonization with C. jejuni has been linked with development of GBS (St Charles et al., 2017). These data suggest that the family members were at risk of developing GBS.

Campylobacter jejuni is the leading cause of bacterial gastrointestinal infections and is commonly found in the gastrointestinal tracts of farm animals, including chickens and cattle (Vegosen et al., 2012). C. jejuni is the most common antecedent infection to the development of the autoimmune muscular neuropathy, GBS. Studies have been performed that show an increase in neurological symptoms in people who work with, or handle farm animals compared to people without this continuous exposure (Price et al., 2007; Vegosen et al., 2012). Previous studies have also demonstrated that C. jejuni is prevalent in a wide range of 0–51.2% of dairy farms in the U.S. (Harvey et al., 2004; Sanad et al., 2013). Therefore, when a small outbreak of C. jejuni occurred in humans living on a dairy farm in southwest Michigan, we not only characterized the isolates to determine whether zoonotic transmission had occurred between the dairy cattle and any family members residing on the farm, but also to determine the genetic relationships among the isolates. These findings–that the human isolate was virtually identical to two calf isolates in MLST sequence type, LOS type, antibiotic resistance profile, and genome content–indicate a high likelihood of interspecies transmission and suggest that dairy calves are an important reservoir for C. jejuni strains having LOS locus types associated with human infections and GBS.

Analysis of 12 C. jejuni calf isolates and the single human isolate by MLST loci, flaA SVR sequences, porA sequences, LOS classification, antibiotic resistance gene profiling, and protein identity comparison of unambiguously identified ORFs in whole-genome sequences showed that two calf isolates (LM03 and LM12) shared the same MLST sequence type (ST922), flaA allele (allele 81), porA allele (allele 2264), LOS class (E), antibiotic resistance gene pattern (beta-lactam and tetracycline but not aminoglycoside resistance) as the human isolate (TW16491). Furthermore, only eight of 1270 ORFs having unambiguously identified functions showed evidence of sequence divergence between isolates LM03, LM12, and TW16491. Based on the identity of results of all comparison methods for calf isolate LM12 and human isolate TW16491, we concluded that transmission was likely between the calf and the child; however, it is impossible to know the direction of transmission and to exclude the possibility that the family member infected the calf. Recall that four of the five STs in this small sample have been reported in contemporary human isolates from Michigan (Cha et al., 2016, 2017). This circumstance, in addition to the prevalence of these sequence types in Michigan cattle and the complex ecological and evolutionary relationships between highly mutable and recombining campylobacters in wild birds and animals common in farm environments (Sheppard et al., 2011a; Woodcock et al., 2017; Mourkas et al., 2020) also makes it impossible to ascertain the source of infection for the calves. Sheppard et al. (2011a) have noted that while host specificity can be observed in campylobacters carried by wild birds, the agricultural environment appears to promote “generalist” strains capable of colonizing several host species. In any case, there is strong evidence here suggesting that zoonotic transmission between dairy calves and family members occurred and may explain the frequent illnesses reported by the family.

Our results are similar to those obtained in other studies of C. jejuni in dairy and beef cattle. For example, a study done by Sanad et al. (2013) on a dairy farm in Ohio showed that 36.6% of the cattle were positive for C. jejuni. In that study the authors used MLST to examine the genetic relationships of the C. jejuni isolates found in both dairy cattle and starling birds and found the most common clonal complexes in the cattle to be CC21, CC42, CC45, and CC62 (Sanad et al., 2013). In a Finnish study, the authors performed MLST on 102 bovine C. jejuni isolates and found that 51% of the isolates belonged to clonal complex 21 (de Haan et al., 2010). Dingle et al. (2001) determined that clonal complexes CC21 and CC45 were the most common clonal complexes among human C. jejuni infections.

Jay-Russell et al. (2013) utilized porA sequencing and MLST sequences of human C. jejuni isolates to isolates taken from dairy cattle to study a milk-borne outbreak of campylobacterosis. These authors concluded that the level of strain discrimination provided by porA typing was very useful in identifying an association of dairy farm C. jejuni isolates with the milk-borne outbreak strain. In addition, CC21 was the most prevalent clonal complex among the isolates analyzed in that study (Jay-Russell et al., 2013).

Clonal complex ST-21 accounted for half of the isolates in our study (STs 806, 982, and 6227). Four of the five STs represented in our small sample (STs 806, 922, 929, and 982) were also detected in a larger survey of C. jejuni isolates from dairy and beef cattle in three Michigan herds; isolates of these four sequence types have also been recovered from human clinical samples in Michigan (Cha et al., 2016, 2017). The C. jejuni isolates in our study were isolated from a small set of calves from a single breeder and probably reflect a larger C. jejuni population in the dairy herd. Consistent detection of populations of multiple C. jejuni MLST types in previous studies of numerous beef and dairy herds and our finding of gene content variability in the complex loci encoding LOS and capsule biosynthesis and O-linked protein glycosylation taken together suggest that diversifying selection likely plays a role in maintaining C. jejuni population structure in these herds. The striking divergence in gene content among the ST806 calf isolates studied here also suggests the occurrence of horizontal gene transfer between C. jejuni strains within either the source population or the calf population. Such recombination has been well documented in C. jejuni populations (Fearnhead et al., 2005; Wilson et al., 2009; Biggs et al., 2011; Sheppard et al., 2011b,2013; Yahara et al., 2014; Samarth and Kwon, 2020). Its presence suggests added risk for transfer of AMR genes to humans and animals under these cattle management conditions.

Genome sequencing showed that both the general gene content and the virulence-associated gene content of strains of calf and the human isolates of ST922 were similar within that ST, as were those of the three ST929 and the two ST6227 isolates. The single ST982 isolate resembled the ST6227 isolates. Two of the ST806 isolates, LM08 and LM10, resembled each other while LM13 and LM26 diverged in differing degrees, possibly due to recombination. All calf and human isolates reported here clustered strongly with clinical strains 11168, CF93-6, and 84-25 in virulence-associated gene content. As expected, the greatest variation in virulence-associated gene content lay in the complex loci encoding C. jejuni cell surface molecules, while the presence or absence of ORFs homologous to the remainder of virulence-associated genes was remarkably consistent across all isolates. We conclude that all isolates reported here are potentially capable of producing disease in humans.

Finally, the high incidence of isolates carrying LOS locus classes and HS Penner serotypes associated with risk of GBS even in this small sample justify larger studies in US dairy herds, especially given the growing popularity of herd share arrangements and raw milk consumption.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/(Table 1) Supplementary Material.

Ethics Statement

The studies involving human participants were reviewed and all protocols were approved by the Institutional Review Boards at Michigan State University (IRB# 10-736SM) and the Michigan Department of Health and Human Services (MDHHS) (842-PHALAB). Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author Contributions

JS isolated Campylobacter strains, conducted multiplex PCR species identification, MSLT, flaA, porA, and LOS PCR/RFLP typing of isolates, and wrote the manuscript, which comprised a portion of her doctoral dissertation. PB conducted whole genome sequencing and conducted genomic analysis using PATRIC and RAST. JB analyzed whole genome data, conducted phylogenetic analyses, assisted with laboratory methods and wrote the manuscript. HA and MV conducted the gentamicin killing assays and assisted with the bioinformatic analyses. SM provided training of JS for the MLST analyses, coordinated the acquisition of the human samples and analyzed them or provided them for the study. LM made the contact with the referring veterinarian to initiate the on-farm study, arranged for samples to be sent to MSU from the referring veterinarian and continued this communication, provided funding and oversight of the project, analyzed the data, assisted with gentamicin killing assay and wrote the manuscript. All the authors contributed to the article and approved the submitted version.

Funding

These studies were funded with federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under Microbiology Research Unit Contract NOAI30058 and Enterics Research Investigational Network, Cooperative Research Center grant number U19AI090872. A USDA NC1202 grant provided some salary for LM. Matching funds for this project were supported by a University Distinguished Professor Endowment and the Albert C. and Lois E. Dehn Endowment both from Michigan State University (MSU). Research travel funds for JS were supported by the College of Veterinary Medicine and the Graduate School at MSU.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank the MSU Veterinary Diagnostic Laboratory for providing C. jejuni isolates LM26 and LM27 and the Michigan Department of Health and Human Services for sharing the clinical isolate.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2022.800269/full#supplementary-material

Supplementary Table 1 | Presence/absence of 55 LOS open reading frames in calf isolates. This table contains contiguous homologs in each isolate to the 55 LOS loci detailed in Parker et al. (2005, 2008) and Richards et al. (2013). Homologs were identified by conducting TBLASTN of individual reference sequences to the genome of each isolate. E values ≤ 1 × 10–30 are reported as positive hits; E values ≥ 1 × 10–30 are reported as “no match.” Only hits having the smallest E values (least likelihood of occurring by chance) are shown.

Supplementary Table 2 | Protein percent identity of calf isolate open reading frames as determined in RAST. This figure shows the protein percent identity of open reading frames each strain in this study to the open reading frames of the reference strain LM01. Clinical C. jejuni isolates 260.94, HB93-13, CF93-6, 84-25, 81-176, and 11168, C. jejuni chicken isolate RM1221, C. jejuni subsp. doylei 269.97, and C. coli RM2228 are included. (A) Open reading frames with functions unambiguously identified in RAST; (B) open reading frames with probable, possible, or putative functions identified in RAST; (C) hypothetical proteins identified in RAST; (D) antibiotic resistance genes identified in RAST; (E) plasmid or bacteriophage associated open reading frames identified in RAST.

Supplementary Table 3 | Protein percent identity of virulence-associated calf isolate open reading frames. Clinical C. jejuni isolates 260.94, HB93-13, CF93-6, 84-25, 81-176, and 11168 are included. This table contains homologs in each isolate to 342 virulence-associated C. jejuni loci detailed in Bell et al. (2013) and updated from the literature (Jacobs et al., 2008; Baek et al., 2011; Buelow et al., 2011; Barrero-Tobon and Hendrixson, 2012; Boehm et al., 2012; Cullen et al., 2012, 2013; Frirdich et al., 2012). Homologs were identified by conducting TBLASTN of reference sequences to the genome of each isolate. The reference sequences from GenBank that were employed for this analysis are given in column 1; sequence names of the form Cj####.gene_name are from C. jejuni NCTC 11168 genome sequence AL111168.

Footnotes

  1. ^ http://pubmlst.org/campylobacter/info/porA_method.shtml
  2. ^ http://pubmlst.org/campylobacter/
  3. ^ https://www.ebi.ac.uk/Tools/msa/clustalo/
  4. ^ https://pubmlst.org/

References

Aksomaitiene, J., Ramonaite, S., Tamuleviciene, E., Novoslavskij, A., Alter, T., and Malakauskas, M. (2019). Overlap of antibiotic resistant Campylobacter jejuni MLST genotypes isolated from humans, broiler products, dairy cattle and wild birds in Lithuania. Front. Microbiol. 10:1377. doi: 10.3389/fmicb.2019.01377

PubMed Abstract | CrossRef Full Text | Google Scholar

Al-Edany, A. A., Khudor, M. H., and Radhi, L. Y. (2015). Isolation, identification and toxigenic aspects of Campylobacter jejuni isolated from slaughtered cattle and sheep at Basrah city. Basrah J. Vet. Res. 14, 316–327.

Google Scholar

Altekruse, S. F., Stern, N. J., Fields, P. I., and Swerdlow, D. L. (1999). Campylobacter jejuni–an emerging foodborne pathogen. Emerg. Infect. Dis. 5, 28–35. doi: 10.3201/eid0501.990104

PubMed Abstract | CrossRef Full Text | Google Scholar

An, J. U., Hoe, H., Kim, J., Kim, W. H., Kim, J., Lee, S., et al. (2018). dairy cattle, a potential reservoir of human campylobacteriosis: epidemiological and molecular characterization of Campylobacter jejuni from cattle farms. Front. Microbiol. 9:3136. doi: 10.3389/fmicb.2018.03136

PubMed Abstract | CrossRef Full Text | Google Scholar

Ang, C. W., Jacobs, B. C., and Laman, J. D. (2004). The Guillain-Barre syndrome: a true case of molecular mimicry. Trends Immunol. 25, 61–66. doi: 10.1016/j.it.2003.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Aziz, R. K., Bartels, D., Best, A. A., DeJongh, M., Disz, T., Edwards, R. A., et al. (2008). The RAST Server: rapid annotations using subsystems technology. BMC Genomics 9:75. doi: 10.1186/1471-2164-9-75

PubMed Abstract | CrossRef Full Text | Google Scholar

Baek, K. T., Vegge, C. S., and Brondsted, L. (2011). HtrA chaperone activity contributes to host cell binding in Campylobacter jejuni. Gut Pathog. 3:13. doi: 10.1186/1757-4749-3-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Barrero-Tobon, A. M., and Hendrixson, D. R. (2012). Identification and analysis of flagellar coexpressed determinants (Feds) of Campylobacter jejuni involved in colonization. Mol. Microbiol. 84, 352–369. doi: 10.1111/j.1365-2958.2012.08027.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Bell, J. A., Jerome, J. P., Plovanich-Jones, A. E., Smith, E. J., Gettings, J. R., Kim, H. Y., et al. (2013). Outcome of infection of C57BL/6 IL-10–/– mice with Campylobacter jejuni strains is correlated with genome content of open reading frames up- and down-regulated in vivo. Microb. Pathog. 54, 1–19. doi: 10.1016/j.micpath.2012.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Bell, J. A., St Charles, J. L., Murphy, A. J., Rathinam, V. A., Plovanich-Jones, A. E., Stanley, E. L., et al. (2009). Multiple factors interact to produce responses resembling spectrum of human disease in Campylobacter jejuni infected C57BL/6 IL-10–/– mice. BMC Microbiol. 9:57. doi: 10.1186/1471-2180-9-57

PubMed Abstract | CrossRef Full Text | Google Scholar

Bianchini, V., Borella, L., Benedetti, V., Parisi, A., Miccolupo, A., Santoro, E., et al. (2014a). Prevalence in bulk tank milk and epidemiology of Campylobacter jejuni in dairy herds in Northern Italy. Appl. Environ. Microbiol. 80, 1832–1837. doi: 10.1128/AEM.03784-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Bianchini, V., Luini, M., Borella, L., Parisi, A., Jonas, R., Kittl, S., et al. (2014b). Genotypes and antibiotic resistances of Campylobacter jejuni isolates from cattle and pigeons in dairy farms. Int. J. Environ. Res. Public Health 11, 7154–7162. doi: 10.3390/ijerph110707154

PubMed Abstract | CrossRef Full Text | Google Scholar

Biggs, P. J., Fearnhead, P., Hotter, G., Mohan, V., Collins-Emerson, J., Kwan, E., et al. (2011). Whole-genome comparison of two Campylobacter jejuni isolates of the same sequence type reveals multiple loci of different ancestral lineage. PLoS One 6:e27121. doi: 10.1371/journal.pone.0027121

PubMed Abstract | CrossRef Full Text | Google Scholar

Boehm, M., Hoy, B., Rohde, M., Tegtmeyer, N., Baek, K. T., Oyarzabal, O. A., et al. (2012). Rapid paracellular transmigration of Campylobacter jejuni across polarized epithelial cells without affecting TER: role of proteolytic-active HtrA cleaving E-cadherin but not fibronectin. Gut Pathog. 4:3. doi: 10.1186/1757-4749-4-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Brettin, T., Davis, J. J., Disz, T., Edwards, R. A., Gerdes, S., Olsen, G. J., et al. (2015). RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci. Rep. 5:8365. doi: 10.1038/srep08365

PubMed Abstract | CrossRef Full Text | Google Scholar

Buelow, D. R., Christensen, J. E., Neal-McKinney, J. M., and Konkel, M. E. (2011). Campylobacter jejuni survival within human epithelial cells is enhanced by the secreted protein CiaI. Mol. Microbiol. 80, 1296–1312. doi: 10.1111/j.1365-2958.2011.07645.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Busato, A., Hofer, D., Lentze, T., Gaillard, C., and Burnens, A. (1999). Prevalence and infection risks of zoonotic enteropathogenic bacteria in Swiss cow-calf farms. Vet. Microbiol. 69, 251–263. doi: 10.1016/s0378-1135(99)00119-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Centers for Disease Control and Prevention (2018). National Outbreak Reporting System Dashboard. Atlanta, GA: Centers for Disease Control and Prevention.

Google Scholar

Cha, W., Mosci, R., Wengert, S. L., Singh, P., Newton, D. W., Salimnia, H., et al. (2016). Antimicrobial susceptibility profiles of human Campylobacter jejuni isolates and association with phylogenetic lineages. Front. Microbiol. 7:589. doi: 10.3389/fmicb.2016.00589

PubMed Abstract | CrossRef Full Text | Google Scholar

Cha, W., Mosci, R. E., Wengert, S. L., Venegas Vargas, C., Rust, S. R., Bartlett, P. C., et al. (2017). Comparing the genetic diversity and antimicrobial resistance profiles of Campylobacter jejuni recovered from cattle and humans. Front. Microbiol. 8:818. doi: 10.3389/fmicb.2017.00818

PubMed Abstract | CrossRef Full Text | Google Scholar

Church Potter, R., and Kaneene, J. B. (2003). A descriptive study of Guillain-Barre syndrome in high and low Campylobacter jejuni incidence regions of Michigan: 1992-1999. Neuroepidemiology 22, 245–248. doi: 10.1159/000070566

PubMed Abstract | CrossRef Full Text | Google Scholar

Cullen, T. W., Madsen, J. A., Ivanov, P. L., Brodbelt, J. S., and Trent, M. S. (2012). Characterization of unique modification of flagellar rod protein FlgG by Campylobacter jejuni lipid A phosphoethanolamine transferase, linking bacterial locomotion and antimicrobial peptide resistance. J. Biol. Chem. 287, 3326–3336. doi: 10.1074/jbc.M111.321737

PubMed Abstract | CrossRef Full Text | Google Scholar

Cullen, T. W., O’Brien, J. P., Hendrixson, D. R., Giles, D. K., Hobb, R. I., Thompson, S. A., et al. (2013). EptC of Campylobacter jejuni mediates phenotypes involved in host interactions and virulence. Infect. Immun. 81, 430–440. doi: 10.1128/IAI.01046-12

PubMed Abstract | CrossRef Full Text | Google Scholar

de Haan, C. P., Kivisto, R. I., Hakkinen, M., Corander, J., and Hanninen, M. L. (2010). Multilocus sequence types of finnish bovine Campylobacter jejuni isolates and their attribution to human infections. BMC Microbiol. 10:200. doi: 10.1186/1471-2180-10-200

PubMed Abstract | CrossRef Full Text | Google Scholar

Dingle, K. E., Colles, F. M., Wareing, D. R., Ure, R., Fox, A. J., Bolton, F. E., et al. (2001). Multilocus sequence typing system for Campylobacter jejuni. J. Clin. Microbiol. 39, 14–23.

Google Scholar

Dong, H.-J., Kim, W. H., An, J. U., Kim, J., and Cho, S. (2016). The fecal microbial communities of dairy cattle shedding shiga toxin-producing Escherichia coli or Campylobacter jejuni. Foodborne Pathog. Dis. 13, 502–508. doi: 10.1089/fpd.2016.2121

PubMed Abstract | CrossRef Full Text | Google Scholar

Farfan, M., Lartiga, N., Benavides, M. B., Alegria-Moran, R., Saenz, L., Salcedo, C., et al. (2019). Capacity to adhere to and invade human epithelial cells, as related to the presence of virulence genes in, motility of, and biofilm formation of Campylobacter jejuni strains isolated from chicken and cattle. Can. J. Microbiol. 65, 126–134. doi: 10.1139/cjm-2018-0503

PubMed Abstract | CrossRef Full Text | Google Scholar

Fearnhead, P., Smith, N. G., Barrigas, M., Fox, A., and French, N. (2005). Analysis of recombination in Campylobacter jejuni from MLST population data. J. Mol. Evol. 61, 333–340. doi: 10.1007/s00239-004-0316-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Fitzgerald, C., Stanley, K., Andrew, S., and Jones, K. (2001). Use of pulsed-field gel electrophoresis and flagellin gene typing in identifying clonal groups of Campylobacter jejuni and Campylobacter coli in farm and clinical environments. Appl. Environ. Microbiol. 67, 1429–1436. doi: 10.1128/AEM.67.4.1429-1436.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

French, N., Barrigas, M., Brown, P., Ribiero, P., Williams, N., Leatherbarrow, H., et al. (2005). Spatial epidemiology and natural population structure of Campylobacter jejuni colonizing a farmland ecosystem. Environ. Microbiol. 7, 1116–1126. doi: 10.1111/j.1462-2920.2005.00782.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Friedman, C. R., Hoekstra, R. M., Samuel, M., Marcus, R., Bender, J., Shiferaw, B., et al. (2004). Risk factors for sporadic Campylobacter infection in the United States: a case-control study in FoodNet sites. Clin. Infect. Dis. 38(Suppl. 3), S285–S296.

Google Scholar

Frirdich, E., Biboy, J., Adams, C., Lee, J., Ellermeier, J., Gielda, L. D., et al. (2012). Peptidoglycan-modifying enzyme Pgp1 is required for helical cell shape and pathogenicity traits in Campylobacter jejuni. PLoS Pathog. 8:e1002602. doi: 10.1371/journal.ppat.1002602

PubMed Abstract | CrossRef Full Text | Google Scholar

Godschalk, P. C., Kuijf, M. L., Li, J., St Michael, F., Ang, C. W., Jacobs, B. C., et al. (2007). Structural characterization of Campylobacter jejuni lipooligosaccharide outer cores associated with Guillain-Barre and Miller Fisher syndromes. Infect. Immun. 75, 1245–1254. doi: 10.1128/IAI.00872-06

PubMed Abstract | CrossRef Full Text | Google Scholar

Guerry, P., Ewing, C. P., Hickey, T. E., Prendergast, M. M., and Moran, A. P. (2000). Sialylation of lipooligosaccharide cores affects immunogenicity and serum resistance of Campylobacter jejuni. Infect. Immun. 68, 6656–6662. doi: 10.1128/IAI.68.12.6656-6662.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

Hagos, Y., Gugsa, G., Awol, N., Ahmed, M., Tsegaye, Y., Abebe, N., et al. (2021). Isolation, identification, and antimicrobial susceptibility pattern of Campylobacter jejuni and Campylobacter coli from cattle, goat, and chicken meats in Mekelle, Ethiopia. PLoS One 16:e0246755. doi: 10.1371/journal.pone.0246755

PubMed Abstract | CrossRef Full Text | Google Scholar

Hammer, O., Harper, D. A. T., and Ryan, P. D. (2001). PAST: paleontological statistics software package for education and data analysis. Palaeontol. Electron. 4:9.

Google Scholar

Hansson, I., Tamminen, L. M., Frosth, S., Fernstrom, L. L., Emanuelson, U., and Boqvist, S. (2021). Occurrence of Campylobacter spp. in Swedish calves, common sequence types and antibiotic resistance patterns. J. Appl. Microbiol. 130, 2111–2122. doi: 10.1111/jam.14914

PubMed Abstract | CrossRef Full Text | Google Scholar

Harvey, R. B., Droleskey, R. E., Sheffield, C. L., Edrington, T. S., Callaway, T. R., Anderson, R. C., et al. (2004). Campylobacter prevalence in lactating dairy cows in the United States. J. Food Protect. 67, 1476–1479. doi: 10.4315/0362-028x-67.7.1476

PubMed Abstract | CrossRef Full Text | Google Scholar

Heikema, A. P., Islam, Z., Horst-Kreft, D., Huizinga, R., Jacobs, B. C., Wagenaar, J. A., et al. (2015). Campylobacter jejuni capsular genotypes are related to Guillain-Barre syndrome. Clin. Microbiol. Infect. 21, 852.e1–e9. doi: 10.1016/j.cmi.2015.05.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Houliston, R. S., Endtz, H. P., Yuki, N., Li, J. J., Jarrell, H. C., Koga, M., et al. (2006). Identification of a sialate o-acetyltransferase from Campylobacter jejuni - demonstration of direct transfer to the C-9 position of terminal alpha-2,8-linked sialic acid. J. Biol. Chem. 281, 11480–11486. doi: 10.1074/jbc.M512183200

PubMed Abstract | CrossRef Full Text | Google Scholar

Hughes, R. A., and Rees, J. H. (1994). Guillain-Barre syndrome. Curr. Opin. Neurol. 7, 386–392.

Google Scholar

Inglis, G. D., Gusse, J. F., House, K. E., Shelton, T. G., and Taboada, E. N. (2020). Clinically relevant Campylobacter jejuni subtypes are readily found and transmitted within the cattle production continuum but present a limited foodborne risk. Appl. Environ. Microbiol. 86:e02101-19. doi: 10.1128/AEM.02101-19

PubMed Abstract | CrossRef Full Text | Google Scholar

Irshad, H., Cookson, A. L., Ross, C. M., Jaros, P., Prattley, D. J., Donnison, A., et al. (2016). Diversity and relatedness of Shiga toxin-producing Escherichia coli and Campylobacter jejuni between farms in a dairy catchment. Epidemiol. Infect. 144, 1406–1417. doi: 10.1017/S0950268815002782

PubMed Abstract | CrossRef Full Text | Google Scholar

Islam, Z., van Belkum, A., Cody, A. J., Tabor, H., Jacobs, B. C., Talukder, K. A., et al. (2009a). Campylobacter jejuni HS:23 and Guillain-Barre syndrome, Bangladesh. Emerg. Infect. Dis. 15, 1315–1317. doi: 10.3201/eid1508.090120

PubMed Abstract | CrossRef Full Text | Google Scholar

Islam, Z., van Belkum, A., Wagenaar, J. A., Cody, A. J., de Boer, A. G., Tabor, H., et al. (2009b). Comparative genotyping of Campylobacter jejuni strains from patients with Guillain-Barre syndrome in Bangladesh. PLoS One 4:e7257. doi: 10.1371/journal.pone.0007257

PubMed Abstract | CrossRef Full Text | Google Scholar

Jacobs, B., Van Belkum, A., and Endtz, H. (2008). “Guillain-Barre syndrome and Campylobacter infection,” in Campylobacter, eds I. Nachamkin, C. M. Szymanski, and M. J. Blaser (Washington, DC: ASM Press), 245–261.

Google Scholar

Jay-Russell, M. T., Mandrell, R. E., Yuan, J., Bates, A., Manalac, R., Mohle-Boetani, J., et al. (2013). Using major outer membrane protein typing as an epidemiological tool to investigate outbreaks caused by milk-borne Campylobacter jejuni isolates in California. J. Clin. Microbiol. 51, 195–201. doi: 10.1128/JCM.01845-12

PubMed Abstract | CrossRef Full Text | Google Scholar

Jolley, K. A., Bliss, C. M., Bennett, J. S., Bratcher, H. B., Brehony, C., Colles, F. M., et al. (2012). Ribosomal multilocus sequence typing: universal characterization of bacteria from domain to strain. Microbiology (Reading) 158, 1005–1015. doi: 10.1099/mic.0.055459-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Jolley, K. A., and Maiden, M. C. (2010). BIGSdb: scalable analysis of bacterial genome variation at the population level. BMC Bioinformatics 11:595. doi: 10.1186/1471-2105-11-595

PubMed Abstract | CrossRef Full Text | Google Scholar

Ju, C. Y., Zhang, M. J., Ma, Y. P., Lu, J. R., Yu, M. H., Chen, H., et al. (2018). Genetic and antibiotic resistance characteristics of Campylobacter jejuni isolated from diarrheal patients, poultry and cattle in Shenzhen. Biomed. Environ. Sci. 31, 579–585. doi: 10.3967/bes2018.079

PubMed Abstract | CrossRef Full Text | Google Scholar

Kapperud, G., Skjerve, E., Bean, N. H., Ostroff, S. M., and Lassen, J. (1992). Risk factors for sporadic Campylobacter infections: results of a case-control study in southeastern Norway. J. Clin. Microbiol. 30, 3117–3121. doi: 10.1128/jcm.30.12.3117-3121.1992

PubMed Abstract | CrossRef Full Text | Google Scholar

Karama, M., Kambuyi, K., Cenci-Goga, B. T., Malahlela, M., Jonker, A., He, C., et al. (2020). Occurrence and antimicrobial resistance profiles of Campylobacter jejuni, Campylobacter coli, and Campylobacter upsaliensis in beef cattle on cow-calf operations in South Africa. Foodborne Pathog. Dis. 17, 440–446. doi: 10.1089/fpd.2019.2703

PubMed Abstract | CrossRef Full Text | Google Scholar

Khalifa, N. O., Afify, J. S. A., and Rabie, N. S. (2013a). Zoonotic and molecular characterizations of Campylobacter jejuni and Campylobacter coli isolated from beef cattle and children. Glob. Vet. 11, 585–591.

Google Scholar

Khalifa, N. O., Radwan, M. E. I., and Sobhy, M. M. (2013b). Molecular study of Campylobacter jejuni isolated from chicken, dairy cattle and human to determine their zoonotic importance. Glob. Vet. 10, 332–336.

Google Scholar

Kiatsomphob, S., Taniguchi, T., Tarigan, E., Latt, K. M., Jeon, B., and Misawa, N. (2019). Aerotolerance and multilocus sequence typing among Campylobacter jejuni strains isolated from humans, broiler chickens, and cattle in Miyazaki Prefecture, Japan. J. Vet. Med. Sci. 81, 1144–1151. doi: 10.1292/jvms.19-0228

PubMed Abstract | CrossRef Full Text | Google Scholar

Klein-Joebstl, D., Sofka, D., Iwersen, M., Drillich, M., and Hilbert, F. (2016). Multilocus sequence typing and antimicrobial resistance of Campylobacter jejuni isolated from dairy calves in Austria. Front. Microbiol. 7:72. doi: 10.3389/fmicb.2016.00072

PubMed Abstract | CrossRef Full Text | Google Scholar

Lertpiriyapong, K., Gamazon, E. R., Feng, Y., Park, D. S., Pang, J., Botka, G., et al. (2012). Campylobacter jejuni type VI secretion system: roles in adaptation to deoxycholic acid, host cell adherence, invasion, and in vivo colonization. PLoS One 7:e42842. doi: 10.1371/journal.pone.0042842

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, H., Zhang, A. Y., Gu, Y. X., You, Y. H., Zhang, J. Z., and Zhang, M. J. (2016). Genetic characteristics and multiple-PCR development for capsular identification of specific serotypes of Campylobacter jejuni. PLoS One 11:e0165159. doi: 10.1371/journal.pone.0165159

PubMed Abstract | CrossRef Full Text | Google Scholar

Linton, D., Owen, R., and Stanley, J. (1996). Rapid identification by PCR of the genus Campylobacter and of five Campylobacter species enteropathogenic for man and animals. Res. Microbiol. 147, 707–718. doi: 10.1016/s0923-2508(97)85118-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Lodish, H., Beck, A., Zipursky, S., Matsadaria, P., Baltimore, D., and Darnell, J. (2000). Transcription Termination, Vol. 11.1. New York, NY: WH Freeman.

Google Scholar

Meinersmann, R. J., Helsel, L. O., Fields, P. I., and Hiett, K. L. (1997). Discrimination of Campylobacter jejuni isolates by fla gene sequencing. J. Clin. Microbiol. 35, 2810–2814. doi: 10.1128/jcm.35.11.2810-2814.1997

PubMed Abstract | CrossRef Full Text | Google Scholar

Meistere, I., Íibilds, J., Eglîte, L., Alksne, L., Avsejenko, J., Cibrovska, A., et al. (2019). Campylobacter spp. prevalence, characterisation of antimicrobial resistance (AMR) and analysis of whole-genome sequence (WGS) of isolates from livestock and humans, Latvia, 2008 to 2016. Euro Surveill. 24:1800357. doi: 10.2807/1560-7917.ES.2019.24.31.1800357

PubMed Abstract | CrossRef Full Text | Google Scholar

Mori, T., Ichikawa, N., Kishino, K., Wada, S., Zou, B., Nanba, T., et al. (2015). Antimicrobial susceptibility of Campylobacter jejuni and C. coli isolated from beef cattle and swine livers. Jpn. J. Food Microbiol. 32, 119–208.

Google Scholar

Mourkas, E., Taylor, A. J., Meric, G., Bayliss, S. C., Pascoe, B., Mageiros, L., et al. (2020). Agricultural intensification and the evolution of host specialism in the enteric pathogen Campylobacter jejuni. Proc. Natl. Acad. Sci. U.S.A. 117, 11018–11028. doi: 10.1073/pnas.1917168117

PubMed Abstract | CrossRef Full Text | Google Scholar

Neal-McKinney, J. M., and Konkel, M. E. (2012). The Campylobacter jejuni CiaC virulence protein is secreted from the flagellum and delivered to the cytosol of host cells. Front. Cell Infect. Microbiol. 2:31. doi: 10.3389/fcimb.2012.00031

PubMed Abstract | CrossRef Full Text | Google Scholar

Ngulukun, S., Oboegbulem, S., and Klein, G. (2016). Multilocus sequence typing of Campylobacter jejuni and Campylobacter coli isolates from poultry, cattle and humans in Nigeria. J. Appl. Microbiol. 121, 561–568. doi: 10.1111/jam.13185

PubMed Abstract | CrossRef Full Text | Google Scholar

Nielsen, H. L., Nielsen, H., Ejlertsen, T., Engberg, J., Gunzel, D., Zeitz, M., et al. (2011). Oral and fecal Campylobacter concisus strains perturb barrier function by apoptosis induction in HT-29/B6 intestinal epithelial cells. PLoS One 6:e23858. doi: 10.1371/journal.pone.0023858

PubMed Abstract | CrossRef Full Text | Google Scholar

Nigatu, S., Mequanent, A., Tesfaye, R., and Garedew, L. (2015). Prevalence and drug sensitivity pattern of Campylobacter jejuni isolated from cattle and poultry in and around Gondar town, Ethiopia. Glob. Vet. 14, 43–47.

Google Scholar

Ocejo, M., Oporto, B., and Hurtado, A. (2019). Occurrence of Campylobacter jejuni and Campylobacter coli in cattle and sheep in Northern Spain and changes in antimicrobial resistance in two studies 10-years apart. Pathogens 8:98. doi: 10.3390/pathogens8030098

PubMed Abstract | CrossRef Full Text | Google Scholar

Ono, K. (2013). Contamination of bile in gallbladder of beef cattle with Campylobacter jejuni and characteristics of isolates. J. Jpn. Vet. Med. Assoc. 66, 713–717. doi: 10.12935/jvma.66.713

CrossRef Full Text | Google Scholar

Overbeek, R., Olson, R., Pusch, G. D., Olsen, G. J., Davis, J. J., Disz, T., et al. (2014). The SEED and the rapid annotation of microbial genomes using subsystems technology (RAST). Nucleic Acids Res. 42, D206–D214. doi: 10.1093/nar/gkt1226

PubMed Abstract | CrossRef Full Text | Google Scholar

Parker, C. T., Gilbert, M., Yuki, N., Endtz, H. P., and Mandrell, R. E. (2008). Characterization of lipooligosaccharide-biosynthetic loci of Campylobacter jejuni reveals new lipooligosaccharide classes: evidence of mosaic organizations. J. Bacteriol. 190, 5681–5689. doi: 10.1128/JB.00254-08

PubMed Abstract | CrossRef Full Text | Google Scholar

Parker, C. T., Horn, S. T., Gilbert, M., Miller, W. G., Woodward, D. L., and Mandrell, R. E. (2005). Comparison of Campylobacter jejuni lipooligosaccharide biosynthesis loci from a variety of sources. J. Clin. Microbiol. 43, 2771–2781. doi: 10.1128/JCM.43.6.2771-2781.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Parker, C. T., Quinones, B., Miller, W. G., Horn, S. T., and Mandrell, R. E. (2006). Comparative genomic analysis of Campylobacter jejuni strains reveals diversity due to genomic elements similar to those present in C. jejuni strain RM1221. J. Clin. Microbiol. 44, 4125–4135. doi: 10.1128/JCM.01231-06

PubMed Abstract | CrossRef Full Text | Google Scholar

Parkhill, J., Wren, B. W., Mungall, K., Ketley, J. M., Churcher, C., Basham, D., et al. (2000). The genome sequence of the food-borne pathogen Campylobacter jejuni reveals hypervariable sequences. Nature 403, 665–668. doi: 10.1038/35001088

PubMed Abstract | CrossRef Full Text | Google Scholar

Poly, F., Serichantalergs, O., Kuroiwa, J., Pootong, P., Mason, C., Guerry, P., et al. (2015). Updated Campylobacter jejuni capsule PCR multiplex typing system and its application to clinical isolates from south and Southeast Asia. PLoS One 10:e0144349. doi: 10.1371/journal.pone.0144349

PubMed Abstract | CrossRef Full Text | Google Scholar

Poly, F., Serichatalergs, O., Schulman, M., Ju, J., Cates, C. N., Kanipes, M., et al. (2011). Discrimination of major capsular types of Campylobacter jejuni by multiplex PCR. J. Clin. Microbiol. 49, 1750–1757. doi: 10.1128/JCM.02348-10

PubMed Abstract | CrossRef Full Text | Google Scholar

Poropatich, K. O., Walker, C. L., and Black, R. E. (2010). Quantifying the association between Campylobacter infection and Guillain-Barre syndrome: a systematic review. J. Health Popul. Nutr. 28, 545–552.

Google Scholar

Premarathne, J. M. K. J. K., Anuar, A. S., Thung, T. Y., Satharasinghe, D. A., Jambari, N. N., Abdul-Mutalib, N. A., et al. (2017). Prevalence and antibiotic resistance against tetracycline in Campylobacter jejuni and C. coli in cattle and beef meat from Selangor, Malaysia. Front. Microbiol. 8:2254. doi: 10.3389/fmicb.2017.02254

PubMed Abstract | CrossRef Full Text | Google Scholar

Price, L. B., Roess, A., Graham, J. P., Baqar, S., Vailes, R., Sheikh, K. A., et al. (2007). Neurologic symptoms and neuropathologic antibodies in poultry workers exposed to Campylobacter jejuni. J. Occup. Environ. Med. 49, 748–755. doi: 10.1097/JOM.0b013e3180d09ec5

PubMed Abstract | CrossRef Full Text | Google Scholar

Rajagunalan, S., Bisht, G., Pant, S., Singh, S. P., Singh, R., and Dhama, K. (2014). Prevalence and molecular heterogeneity analysis of Campylobacter jejuni and Campylobacter coli isolated from human, poultry and cattle, in Pantnagar, India. Vet. Arch. 84, 493–504.

Google Scholar

Ramonaite, S., Tamuleviciene, E., Alter, T., Kasnauskyte, N., and Malakauskas, M. (2017). MLST genotypes of Campylobacter jejuni isolated from broiler products, dairy cattle and human campylobacteriosis cases in Lithuania. BMC Infect. Dis. 17:430. doi: 10.1186/s12879-017-2535-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Rapp, D., Ross, C. M., Pleydell, E. J., and Muirhead, R. W. (2012). Differences in the fecal concentrations and genetic diversities of Campylobacter jejuni populations among individual cows in two dairy herds. Appl. Environ. Microbiol. 78, 7564–7571. doi: 10.1128/AEM.01783-12

PubMed Abstract | CrossRef Full Text | Google Scholar

Rasmussen, J. J., Vegge, C. S., Frokiaer, H., Howlett, R. M., Krogfelt, K. A., Kelly, D. J., et al. (2013). Campylobacter jejuni carbon starvation protein A (CstA) is involved in peptide utilization, motility and agglutination, and has a role in stimulation of dendritic cells. J. Med. Microbiol. 62, 1135–1143. doi: 10.1099/jmm.0.059345-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Richards, V. P., Lefebure, T., Pavinski Bitar, P. D., and Stanhope, M. J. (2013). Comparative characterization of the virulence gene clusters (lipooligosaccharide [LOS] and capsular polysaccharide [CPS]) for Campylobacter coli, Campylobacter jejuni subsp. jejuni and related Campylobacter species. Infect. Genet. Evol. 14, 200–213. doi: 10.1016/j.meegid.2012.12.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodrigues, J. A., Cha, W., Mosci, R. E., Mukherjee, S., Newton, D. W., Lephart, P., et al. (2021). Epidemiologic associations vary between tetracycline and fluoroquinolone resistant Campylobacter jejuni infections. Front. Public Health 9:672473. doi: 10.3389/fpubh.2021.672473

PubMed Abstract | CrossRef Full Text | Google Scholar

Sahin, O., Morishita, T. Y., and Zhang, Q. (2002). Campylobacter colonization in poultry: sources of infection and modes of transmission. Anim. Health Res. Rev. 3, 95–105. doi: 10.1079/ahrr200244

PubMed Abstract | CrossRef Full Text | Google Scholar

Salamaszynska-Guz, A., Godlewski, M. M., and Klimuszko, D. (2013). Influence of mutation in cj0183 and cj0588 genes for colonization abilities of Campylobacter jejuni in Caco-2 cells using confocal laser scanning microscope. Pol. J. Vet. Sci. 16, 387–389. doi: 10.2478/pjvs-2013-0053

PubMed Abstract | CrossRef Full Text | Google Scholar

Samarth, D. P., and Kwon, Y. M. (2020). Horizontal genetic exchange of chromosomally encoded markers between Campylobacter jejuni cells. PLoS One 15:e0241058. doi: 10.1371/journal.pone.0241058

PubMed Abstract | CrossRef Full Text | Google Scholar

Samuelson, D. R., Eucker, T. P., Bell, J. A., Dybas, L., Mansfield, L. S., and Konkel, M. E. (2013). The Campylobacter jejuni CiaD effector protein activates MAP kinase signaling pathways and is required for the development of disease. Cell Commun. Signal 11:79. doi: 10.1186/1478-811X-11-79

PubMed Abstract | CrossRef Full Text | Google Scholar

Samuelson, D. R., and Konkel, M. E. (2013). Serine phosphorylation of cortactin is required for maximal host cell invasion by Campylobacter jejuni. Cell Commun. Signal. 11:82. doi: 10.1186/1478-811X-11-82

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanad, Y. M., Closs, G. Jr., Kumar, A., LeJeune, J. T., and Rajashekara, G. (2013). Molecular epidemiology and public health relevance of Campylobacter isolated from dairy cattle and European starlings in Ohio, USA. Foodborne Pathog. Dis. 10, 229–236. doi: 10.1089/fpd.2012.1293

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheppard, S. K., McCarthy, N. D., Jolley, K. A., and Maiden, M. C. J. (2011b). Introgression in the genus Campylobacter: generation and spread of mosaic alleles. Microbiology (Reading) 157, 1066–1074. doi: 10.1099/mic.0.045153-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheppard, S. K., Colles, F. M., McCarthy, N. D., Strachan, N. J. C., Ogden, I. D., Forbes, K. J., et al. (2011a). Niche segregation and genetic structure of Campylobacter jejuni populations from wild and agricultural host species. Mol. Ecol. 20, 3484–3490. doi: 10.1111/j.1365-294X.2011.05179.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheppard, S. K., Didelot, X., Jolley, K. A., Darling, A. E., Pascoe, B., Meric, G., et al. (2013). Progressive genome-wide introgression in agricultural Campylobacter coli. Mol. Ecol. 22, 1051–1064. doi: 10.1111/mec.12162

PubMed Abstract | CrossRef Full Text | Google Scholar

Shui, I. M., Rett, M. D., Weintraub, E., Marcy, M., Amato, A. A., Sheikh, S. I., et al. (2012). Guillain-Barre syndrome incidence in a large United States cohort (2000-2009). Neuroepidemiology 39, 109–115. doi: 10.1159/000339248

PubMed Abstract | CrossRef Full Text | Google Scholar

Sievers, F., Wilm, A., Dineen, D., Gibson, T. J., Karplus, K., Li, W., et al. (2011). Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol. Syst. Biol. 7:539. doi: 10.1038/msb.2011.75

PubMed Abstract | CrossRef Full Text | Google Scholar

Sproston, E. L., Ogden, I. D., MacRae, M., Dallas, J. F., Sheppard, S. K., Cody, A. J., et al. (2011). Temporal variation and host association in the Campylobacter population in a longitudinal ruminant farm study. Appl. Environ. Microbiol. 77, 6579–6586. doi: 10.1128/AEM.00428-11

PubMed Abstract | CrossRef Full Text | Google Scholar

St Charles, J. L., Bell, J. A., Gadsden, B. J., Malik, A., Cooke, H., Van de Grift, L. K., et al. (2017). Guillain Barre syndrome is induced in non-obese diabetic (n.d.) mice following Campylobacter jejuni infection and is exacerbated by antibiotics. J. Autoimmun. 77, 11–38. doi: 10.1016/j.jaut.2016.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Szymanski, C. M., and Gaynor, E. C. (2012). How a sugary bug gets through the day: recent developments in understanding fundamental processes impacting Campylobacter jejuni pathogenesis. Gut Microbes 3, 135–144. doi: 10.4161/gmic.19488

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, Y. Z., Meinersmann, R. J., Sahin, O., Wu, Z. W., Dai, L., Carlson, J., et al. (2017). Wide but variable distribution of a hypervirulent Campylobacter jejuni clone in beef and dairy cattle in the United States. Appl. Environ. Microbiol. 83:e01425-17. doi: 10.1128/AEM.01425-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Terentjeva, M., Streikisša, M. J. A., Trofimova, J., Kovalxenko, K., Elferts, D., and Berzinxs, A. (2019). Prevalence and antimicrobial resistance of Escherichia coli, Enterococcus spp. and the major foodborne pathogens in calves in Latvia. Foodborne Pathog. Dis. 16, 35–41. doi: 10.1089/fpd.2018.2523

PubMed Abstract | CrossRef Full Text | Google Scholar

Theoret, J. R., Cooper, K. K., Glock, R. D., and Joens, L. A. (2011). A Campylobacter jejuni Dps homolog has a role in intracellular survival and in the development of campylobacterosis in neonate piglets. Foodborne Pathog. Dis. 8, 1263–1268. doi: 10.1089/fpd.2011.0892

PubMed Abstract | CrossRef Full Text | Google Scholar

Theoret, J. R., Cooper, K. K., Zekarias, B., Roland, K. L., Law, B. F., and Curtiss, R. III, et al. (2012). The Campylobacter jejuni Dps homologue is important for in vitro biofilm formation and cecal colonization of poultry and may serve as a protective antigen for vaccination. Clin. Vaccine Immunol. 19, 1426–1431. doi: 10.1128/CVI.00151-12

PubMed Abstract | CrossRef Full Text | Google Scholar

Thepault, A., Poezevara, T., Quesne, S., Rose, V., Chemaly, M., and Rivoal, K. (2018). Prevalence of thermophilic Campylobacter in cattle production at slaughterhouse level in france and link between C-jejuni bovine strains and campylobacteriosis. Front. Microbiol. 9:471. doi: 10.3389/fmicb.2018.00471

PubMed Abstract | CrossRef Full Text | Google Scholar

Vegosen, L., Breysse, P. N., Agnew, J., Gray, G. C., Nachamkin, I., Sheikh, K., et al. (2015). Occupational exposure to swine, poultry, and cattle and antibody biomarkers of Campylobacter jejuni exposure and autoimmune peripheral neuropathy. PLoS One 10:e0143587. doi: 10.1371/journal.pone.0143587

PubMed Abstract | CrossRef Full Text | Google Scholar

Vegosen, L., Davis, M. F., Silbergeld, E., Breysse, P. N., Agnew, J., Gray, G., et al. (2012). Neurologic symptoms associated with cattle farming in the agricultural health study. J. Occup. Environ. Med. 54, 1253–1258. doi: 10.1097/JOM.0b013e31825a2574

PubMed Abstract | CrossRef Full Text | Google Scholar

Walling, A. D., and Dickson, G. (2013). Guillain-Barre syndrome. Am. Fam. Phys. 87, 191–197.

Google Scholar

Wattam, A. R., Brettin, T., Davis, J. J., Gerdes, S., Kenyon, R., Machi, D., et al. (2018). Assembly, annotation, and comparative genomics in PATRIC, the all bacterial bioinformatics resource center. Methods Mol. Biol. 1704, 79–101. doi: 10.1007/978-1-4939-7463-4_4

PubMed Abstract | CrossRef Full Text | Google Scholar

Webb, A. L., Selinger, L. B., Taboada, E. N., and Inglis, G. D. (2018). Subtype-specific selection for resistance to fluoroquinolones but not to tetracyclines is evident in Campylobacter jejuni isolates from beef cattle in confined feeding operations in Southern Alberta, Canada. Appl. Environ. Microbiol. 84:e02713-17. doi: 10.1128/AEM.02713-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Wieczorek, K., and Osek, J. (2018). Antimicrobial resistance and genotypes of Campylobacter jejuni from pig and cattle carcasses isolated in Poland during 2009-2016. Microb. Drug Resist. 24, 680–684. doi: 10.1089/mdr.2017.0158

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilson, D. J., Gabriel, E., Leatherbarrow, A. J., Cheesbrough, J., Gee, S., Bolton, E., et al. (2009). Rapid evolution and the importance of recombination to the gastroenteric pathogen Campylobacter jejuni. Mol. Biol. Evol. 26, 385–397. doi: 10.1093/molbev/msn264

PubMed Abstract | CrossRef Full Text | Google Scholar

Woodcock, D. J., Krusche, P., Strachan, N., Forbes, K. J., Cohan, F. M., Méric, G., et al. (2017). Genomic plasticity and rapid host switching can promote the evolution of generalism: a case study in the zoonotic pathogen Campylobacter. Sci. Rep. 7:9650. doi: 10.1038/s41598-017-09483-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Wosten, M. M., Boeve, M., Koot, M. G., van Nuenen, A. C., and van der Zeijst, B. A. (1998). Identification of Campylobacter jejuni promoter sequences. J. Bacteriol. 180, 594–599. doi: 10.1128/jb.180.3.594-599.1998

PubMed Abstract | CrossRef Full Text | Google Scholar

Yahara, K., Didelot, X., Ansari, M. A., Sheppard, S. K., and Falush, D. (2014). Efficient inference of recombination hot regions in bacterial genomes. Mol. Biol. Evol. 31, 1593–1605. doi: 10.1093/molbev/msu082

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuki, N. (2007). Ganglioside mimicry and peripheral nerve disease. Muscle Nerve 35, 691–711. doi: 10.1002/mus.20762

PubMed Abstract | CrossRef Full Text | Google Scholar

Zang, X. Q., Huang, P. Y., Li, J., Jiao, X. N., and Huang, J. L. (2021a). Genomic relatedness, antibiotic resistance and virulence traits of Campylobacter jejuni HS19 isolates from cattle in china indicate pathogenic potential. Front. Microbiol. 12:783750. doi: 10.3389/fmicb.2021.783750

PubMed Abstract | CrossRef Full Text | Google Scholar

Zang, X. Q., Lv, H. Y., Tang, H. Y., Jiao, X. A., and Huang, J. L. (2021b). Capsular genotype and lipooligosaccharide class associated genomic characterizations of Campylobacter jejuni isolates from food animals in China. Front. Microbiol. 12:775090. doi: 10.3389/fmicb.2021.775090

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Campylobacter jejuni, Guillain Barré Syndrome, autoimmunity, gastrointestinal inflammation, zoonoses, outbreak investigation

Citation: St. Charles JL, Brooks PT, Bell JA, Ahmed H, Van Allen M, Manning SD and Mansfield LS (2022) Zoonotic Transmission of Campylobacter jejuni to Caretakers From Sick Pen Calves Carrying a Mixed Population of Strains With and Without Guillain Barré Syndrome-Associated Lipooligosaccharide Loci. Front. Microbiol. 13:800269. doi: 10.3389/fmicb.2022.800269

Received: 22 October 2021; Accepted: 16 March 2022;
Published: 29 April 2022.

Edited by:

Michael Konkel, Washington State University, United States

Reviewed by:

Marja-Liisa Hänninen, University of Helsinki, Finland
Jinlin Huang, Yangzhou University, China
Friederike Hilbert, University of Veterinary Medicine Vienna, Austria

Copyright © 2022 St. Charles, Brooks, Bell, Ahmed, Van Allen, Manning and Mansfield. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Linda S. Mansfield, mansfie4@cvm.msu.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.