Johne's Disease in Dairy Cattle: An Immunogenetic Perspective

Introduction

Johne's Disease—Global Context, Economic, and Zoonotic Relevance and Control

The Food and Agriculture organization (FAO) estimates that in order to meet the growing demand from a world population projected to reach over 9 billion, annual meat production will need to increase by 41 million tons over 2019 production levels to 376 million tons by 2030 (1). In addition, according to International Farm Comparison Network (IFCN), growth in global milk production be required to increase by 35% by 2030 (2).

Leading the response to this demand is the bovine industry, and a number of recent changing trends in dairy production across the globe have been identified, with significant increases in the size of dairy herds (3), and a sectoral expansion in the EU after the abolition of milk quotas (4). These increasing cattle numbers and production levels, and other factors like recent changes toward increased animal housing in parts of the world, will exacerbate issues associated with the control of infectious diseases (5). A key feature of successful farm enterprises of the future will be efficiency of production, and multiple infectious diseases not only threaten sectoral efficiency and sustainability, but also have serious animal welfare and public health implications (6). There is a growing appreciation of the need to control infectious diseases at source, and infections with zoonotic potential are of particular concern. The advent of the “One Health” approach to achieve optimal health among humans, animals and environment is a major step in the efforts to control infectious and zoonotic diseases (7).

The focus of this review is on one such disease with serious animal production, welfare, and potential human health implications named Johne's disease (JD) or paratuberculosis. JD is a chronic progressive intestinal inflammatory disease caused by infection with Mycobacterium avium subsp. paratuberculosis (MAP) in cattle. The disease is named after a German pathologist, Heinrich Albert Johne, and was first reported in cattle in 1895 (8). JD pathogenesis is characterized by a long latent sub-clinical phase lasting for years, followed by clinical phase, where overt signs such as chronic diarrhea, emaciation, and decreased milk production and fertility are exhibited by infected animals before eventually leading to death (9).

JD is now a globally prevalent contagious disease with major economic and welfare implications on the cattle industry. In a recent survey involving 48 countries, authors reported a herd-level prevalence of JD ranging between 1 and >40%; and the within-herd prevalence ranging between 1 and 15% in dairy cattle alone (10). Prevalence of JD is not just limited to livestock, as MAP has also been isolated from wild ruminants as well as non-ruminants suggesting their possible role as reservoir hosts (11). Ruminant species such as bison (11), white-tailed deer (12), red deer (13), elk (14), and non-ruminant species such as wild rabbits, foxes, guanacos (15), and even primates such as mandrills and macaques (16), have been shown to harbor MAP illustrating the broad host species adaptation of this mycobacteria. MAP has also been isolated from free-living amoebae suggesting their under-appreciated role as vectors in water-borne MAP transmission (17). This broad range of host species could account for widespread transmission of MAP making it difficult to control JD across the globe.

MAP is shed from infected hosts into the environment through feces, therefore, the fecal-oral route is considered the primary mode of transmission. Neonatal calves, and calves <6 months of age, are highly susceptible to MAP infection (18), via their consumption of contaminated colostrum, waste milk, and/or feed contaminated with feces containing MAP (19, 20). Other routes of MAP transmission have also been documented including intra-uterine transmission from dam to calf (21), potential transmission through semen from infected bulls (22), and the bio-aerosol route (23).

As a result of its success as a pathogen, MAP infection is responsible for significant negative impacts on dairy cattle economics worldwide. Herd-level economic losses associated with JD in U.S. dairy operations was estimated at $200-$250 million dollars annually (24). In Canada, estimated loss due to JD is $49 CAD per cow per year (25). For a cow in a JD affected herd in Ireland, a profit margin reduction between €168 and €253 was estimated (26), while in Australia, it was estimated to be AUD 44.84 per cow/year (27). Although these are per cow estimates, the losses incurred amount to millions in lost revenue when the overall affected population is considered. These losses are due to decreased milk production in the infected herds, increased mortality and premature culling of MAP infected animals, reduced fertility, reduced slaughter value as JD is associated with weight loss, increased management costs, and diagnostic and veterinary costs aimed at reducing the incidence of JD (28). Further, initial reports have speculated that MAP co-infection as a potential reason for thwarted bovine tuberculosis (bTB) eradication schemes in United Kingdom, as chronically bTB infected herds have increased risk of having positive MAP infection status as opposed to non-chronically infected herds (29).

Another serious implication of MAP is its potential zoonotic association with Crohn's disease (CD), an inflammatory bowel disorder in humans (30). The basis for this zoonotic link stems from studies reporting detection of MAP from patients suffering from CD (31–35) along with reports of remission of clinical symptoms in CD patients treated with antimicrobial drugs (36). Despite this, the zoonotic nature of MAP is still deemed debatable and will remain such until conclusive evidence is drawn explaining the cause-effect mechanism involved between MAP and CD (37, 38). Of particular concern for the globally expanding dairy sector is the reports of MAP being detected in pasteurized milk and dried milk-based products, which has sparked MAP public health concern debates (39). Together, these two elements of heat resilience and association with CD makes MAP one of the most potentially devastating infectious disease agents for the global dairy industry.

Currently, there is no cure for MAP, and JD control across the globe has proven difficult. The first contributory issue is that it is challenging to fight MAP infection when it is so difficult to detect. As JD is a contagious infectious disease, its accurate diagnosis during early stages is critical to limit MAP spread and infection within and across herds. JD diagnosis is based on immune assays like ELISA that detect MAP-specific antibodies in milk or serum, and by tests that detect MAP in feces or tissues either by culture, or polymerase chain reaction (PCR). However, these tests are limited in their ability to diagnose early stages of MAP infection because of their reduced sensitivities during subclinical stages where antibody levels and fecal MAP shedding are low (40). Adding to this, MAP culture techniques are highly specific, but lack sensitivity during intermittent shedding of JD, plus MAP culture requires a long turnaround time to confirm positivity (41). Milk/serum ELISA is a commonly used diagnostic method because it is cost-effective, simple to perform, and has a quick turnaround time compared to MAP culture. However, the drawback of this method is its low sensitivity (30%), which may not allow for detection during the early phase of infection when the antibody response is minute (40).

Prevention of JD is the most preferable option, but currently no efficacious vaccine exists to confer protection against MAP. Inactivated MAP vaccines tested in cattle have so far only been effective at reducing fecal shedding and tissue colonization, and are unable to eliminate MAP infection (42, 43), and efforts to produce a vaccine that can prevent MAP infection and/or confer protective immunity are still ongoing (44).

With the absence of vaccines and treatment options, the current control measures to reduce JD incidence are management-based; including employing a “test and cull strategy” to remove MAP infected animals from the herd (45), and enhancing on-farm biosecurity and surveillance measures to prevent MAP transmission within and between herds (46). In this regard, several countries have adapted voluntary JD eradication programmes (47). Genetic regulation of the host response to MAP infection is also being extensively studied in order to explore potential genetic selection strategies to enhance resistance of dairy cattle to JD (48).

Overall, JD continues to seriously plague the cattle industry worldwide. Understanding of host immune response to MAP infection and its genetic regulation in cattle has been made possible by diverse research studies over the years. We now know that response to MAP infection is complex and heritable (49), leading to differences in clinical presentations of JD between individuals. These findings have opened up potential new avenues for early disease diagnosis and implementation of genetic and genomic selection schemes for breeding more JD resistant animals. Furthermore, the genetic regulation of the same has been studied by estimating genetic parameters and identifying genetic markers influencing JD susceptibility and resistance in cattle. The main objectives of this review are to highlight the key findings from an immunogenetic perspective, potential mitigation strategies through selective breeding, and to highlight knowledge-gaps that future research efforts could aim to address to help advance our progress toward the control of JD.

Understanding Map Infection

JD Pathogenesis

Despite the evidence for an extensive environmental reservoir of MAP, infection levels in dairy cattle are relatively low at a national level, implying that possibly innate immune processes and the genetic background of the host may play a determining role in resistance to infection. Resilience to MAP infection is seen in cattle, and it has been reported that only fraction of infected animals progressing to clinical JD (50). The pathogenesis of JD follows various stages and is broadly classified into early, sub-clinical and late infection phases. The early stage encompasses interactions between MAP, which is an obligate intracellular bacterium, and innate immune cells called macrophages. Following ingestion by the host, MAP translocates into gut-associated lymphatic tissues (GALT) where it is phagocytosed by macrophages. Translocation across the mucosal epithelium is facilitated by specialized intestinal epithelial cells such as M cells and enterocytes through fibronectin-dependent mechanisms (51–54), and likely also by motile dendritic cells that can directly sample the pathogen from the intestinal lumen and migrate to draining lymph nodes to carry out antigen presentation (55) (Figure 1). Pattern recognition receptors (PRRs) on the macrophage surface, such as complement receptors (56), mannose receptors (57, 58), β-integrin receptors such as CD11a and CD18 (59), and CD14 receptors (60), are shown to mediate MAP recognition and phagocytosis. When fully activated, macrophages are capable of exerting their microbicidal defense against MAP such as MAP ingestion and creation of a phagosome. However, similar to other mycobacteria spp., MAP has evolved several strategies to survive within host cells like macrophages and disseminate infection within the host (61). These include inhibiting phagosomal maturation (62), interfering with macrophage apoptosis and phagosome acidification (63), evading antigen presentation by macrophages by down-regulating the expression of MHC molecules (64), and regulating different signal transduction pathways (65, 66). Successful establishment of MAP within host cells in the early stage gives way to the latent subclinical phase that can last for 2–5 years (67). During the subclinical phase, no display of overt clinical signs is noticed in the infected animal making JD diagnosis difficult, although intermittent fecal shedding of MAP is often detected later leading to MAP contamination and spread within herds. During both the early and subclinical phases, the host inflammatory response induces localized granuloma formation aimed at sequestering MAP-infected macrophages to contain infection (67). However, as disease progresses, further dissemination of MAP infection leads to severe intestinal inflammatory granulomatous lesions and subsequent onset of the clinical phase of JD, which is characterized by the previously described clinical symptoms (68). These clinical signs are a result of the immunopathology associated with granulomatous lesions, which include thickening of intestinal wall leading to malabsorption, chronic diarrhea and profuse protein losing enteropathy (9, 68). Diagrammatic representation of MAP uptake and immune response is presented in Figure 1.

FIGURE 1

Figure 1. Diagrammatic representation of MAP uptake and immune response during disease progression. Following oral ingestion of MAP, M cells facilitate uptake of MAP across mucosal epithelium into submucoal gut-associated lymphatic tissue (peyer's patches). Here MAP is phagocytozed by macrophages (sometimes dendritic cells can sample MAP from intestinal lumen directly). Early immune response against MAP infection involves activation of macrophages and T-cells to promote Th1 cell-mediated immune response. Predominance of cell-mediated immune response is observed during subclinical stage of the disease; however, the onset of clinical signs coincides with shift from Th1- to- Th2 antibody-mediated immune response.

Host Immune Response

The immune response to MAP infection in cattle involves a complex interplay between host and the pathogen highlighted by activation of different immune cells by numerous cytokines and co-stimulatory molecules during different stages of JD pathogenesis. Phagocytosis of MAP by macrophages is followed by an early cell-mediated immune response. This includes activation of immune cells such as γδ T cells, antigen processing and presentation by macrophages, and the activation of CD4⁺ T cells whose effector function has a great bearing on the outcome of MAP infection in the host particularly during early stages (67, 69). CD4⁺ T cell subtypes are responsible for steering the cell-mediated immune response against intracellular MAP. Activated macrophages secrete IL-12 and chemokines that recruit CD4⁺ T cells to the GALT. CD4⁺ T cells further recognize MAP antigenic determinants presented by macrophages via MHC II molecules and in turn secrete IFN-γ, which enhances macrophage effector killing functions (67). IFN-γ further acts on macrophages to secrete more IL-12, which stimulates proliferation of more CD4⁺ T cells leading to enhanced inflammatory changes and polarizes a Th1 cell-mediated immune response (67, 69). The IFN-γ ELISA, a diagnostic tool used to detect sub-clinical stages of JD is based on measurement of production of IFN-γ by MAP-stimulated peripheral blood mononuclear cells (PBMCs) (70). The ability of IFN-γ to enhance the anti-mycobacterial activity of macrophages against intracellular MAP is well-documented; it has been reported that IFN-γ induces nitric oxide synthesis and phagosome maturation in MAP-infected macrophages, which negatively affects the intracellular survival of MAP (71–73). Although protective in nature, prolonged production of IFN-γ at the infection site also leads to chronic inflammation and contributes to immunopathology associated with JD (74).

In a recent review, the potential inflammatory role of the IL-17a cytokine secreted by Th17 cells, and IL-23 which activates Th17 cell cytokine production, was also highlighted in JD pathogenesis (75). IL-17 mediates recruitment of neutrophils to mycobacterial infection sites (76), and increased levels of IL-17a were noticed in the early stage lesions in the ileum of MAP-infected animals (77). While the early induced immunological responses will influence the disease outcome in the infected animal (78, 79), MAP has evolved strategies to redirect the early immune response to favor its survival.

In recent years, the role of γδ T cells during early infection stages of MAP has been extensively studied. γδ T cells constitute about 40% of circulating peripheral blood mononuclear cells (PBMC) in calves and 10–15% in adult cattle and are thought to be a link connecting the bovine and human innate and adaptive immune responses during mycobacterial infections (80). Based on expression of scavenger receptor workshop cluster 1 (WC1), two different subsets of γδ T cells have been defined in cattle; WC1⁺ and WC1⁻ (81). While WC1⁺ are predominantly distributed in peripheral blood, WC1⁻ are primarily found in spleen, uterus, intestinal mucosa, and lymph nodes (81, 82). Early recruitment of γδ T cells and their presence in MAP-induced lesions have been reported in experimental calves injected with live MAP inoculum and MAP-whole cell vaccine suggesting that they play a role in granuloma formation (83). Given the relative abundance of γδ T cells in the gut mucosa, their role as an innate source of IFN-γ and IL17α (84), and their ability to influence differentiation and maturation of monocytes (85), impact MAP viability (86), and initiate granuloma formation (83), γδ T cells likely play a critical role during the early stages of MAP infection.

Predominance of a Th1-mediated immune response is observed during the early sub-clinical stage as extensive proliferation of CD4⁺ T cells with the resultant increased expression of pro-inflammatory cytokines like IFN-γ is detected in the ileal tissue of sub-clinically infected animals (87, 88), in PBMCs (89), and PBMCs stimulated with MAP whole-cell sonicate (90). However, as the disease progresses, the Th1 cell-mediated immune response wanes coupled with an increased Th2 antibody-mediated response (67) and subsequent detectable levels of the IgG1 subclass of anti-MAP antibodies (91). The exact reason behind this Th1 to Th2 transition, and the time at which it takes place, is currently unknown, but it corresponds with onset of clinical disease. While earlier studies have reported the role of IL-10 producing regulatory T cells (CD4⁺ CD25⁺) in the switch to Th2 antibody response (92, 93), other reports have also suggested T cell unresponsiveness (77, 94), and loss of antigen-specific CD4⁺ T cells (95), as possible reasons for Th1 to Th2 switch. With a transition in the nature of immune response, predominant up-regulation of anti-inflammatory cytokines such as IL-10, TGF-β, and IL-4 in PBMCs, the ileum and associated lymph nodes tissues is also observed in naturally infected cattle (64–66). IL-4 is a Th2 polarizing cytokine that promotes activation and proliferation of B-cells and antibody production by plasma cells, which correlates with detectable antibody levels during the clinical stage (96). The immunoregulatory effect of IL-10 in suppressing IFN-γ production and favoring MAP viability is well-documented (88, 97, 98). The clinical stage is also characterized by constant shedding of MAP in the feces, milk, and colostrum (19, 20), thereby increasing the risk of MAP transmission within the herd.

In vitro Models

Our knowledge of the host immune response to MAP infection has been acquired through the use of in vitro and in vivo experimental MAP challenge studies, and in some cases by studies that used naturally MAP-infected animals. Several in vitro models concerned with MAP infection have contributed immensely to our knowledge of MAP interaction with various immune cells and immortal cell lines, and in explaining host immune response and JD pathogenesis. Since macrophages are the main effector cells of JD pathogenesis, they are the predominant cells used in in vitro cell culture studies to study host-MAP interaction. The in vitro cell culture-based MAP-mononuclear phagocytic cell interaction studies have enabled our current understanding of the role of macrophage receptors in MAP phagocytosis (59), the ability of MAP to promote its survival by inhibiting processes such as macrophage apoptosis (63), phagosomal acidification (99) and maturation (62), and MAP's ability to inhibit signaling pathways such as JAK-STAT (66), CD40L-CD40 signaling (65), as well as to suppress monocyte microbicidal activity (99, 100). For instance, by developing a co-culture model involving the bovine mammary epithelial cell line (MAC-T) and bovine monocyte-derived macrophages (MDM), followed by challenge with MAP, Lamont et al. showed how phagosome acidification in MAC-T cells and subsequent Ca⁺²-dependent IL-1β secretion initiates recruitment of macrophages to the apical side of MAC-T cells and the entry of MAP into macrophages (100). Albeit this was shown in vitro, a similar mechanism could be in play to establish MAP infection at the intestinal mucosal level of MAP-infected animals.

The role of γδ T cells in the context of early MAP infection in cattle has also been explored extensively. By developing a bovine γδ T cell-MDM co-culture in vitro model, Baquero et al. (84) showed co-culturing of primary WC1⁺ γδ T cells in direct contact with MAP-infected MDMs led to decreased MAP viability and increased MHC-I expression on MDM. It was also shown that WC1⁺ and WC1⁻ γδ T cells impacted the function of monocytes during early MAP infection through their involvement in the differentiation and maturation of monocytes and dendritic cells (85). Decreased MAP viability was also observed when WC1⁺ and WC1⁻ γδ T cells from young calves were separately co-cultured in direct contact with MAP-infected MDM (86).

Cell culture tools and techniques are continually evolving. The recent revolution in genetic engineering using CRISPR/Cas9 has rendered efficient modification and editing of genes. The translation of such techniques is attainable using bovine cell lines that can be further tested to study gene function, gene interaction, and signaling pathway analysis. In the context of MAP infection, gene edited cell lines offer a sound platform to validate biological relevance of JD candidate genes, and related studies are now showing up in the literature (101). Recently, in vitro modeling of intestinal human diseases using 3D-intestinal organoids has gained prominence (102), and similar approaches may also be adapted to study JD in cattle.

MAP Animal Infection Models

Understanding JD pathogenesis and the early infection of MAP at the host tissue level has been made possible by various MAP bovine infection models. By creating ligated ileal loops in calves followed by inoculation with MAP, Momotani et al. (51) demonstrated MAP uptake by ileal M-cells and further entry into subepithelial and intraepithelial macrophages within 5 h of inoculation. They also showed enhanced MAP uptake when anti-MAP serum from MAP infected cows was added to the inoculum. Using similar ligated ileal loop model, Khare et al. (103) further studied early morphological lesions and changes in the expression of several immune-related transcripts upon MAP inoculation. Within 30 min of inoculation, they observed MAP entry into ileal mucosa, and within 4 h of inoculation, increased expression of chemokines IL-8 and chemokine monocyte chemotactic peptide (MCP-1/CCL2) was seen with concurrent increased influx of migratory neutrophils and monocytes in submucosal lamina propria. The expression of pro-inflammatory genes (IL-1β, TNF-α, IL-6, and IL-15) was also high 4 h post-inoculation. After injecting MAP into ileal lumen, Wu et al. (104) studied the immune response during the following 9 months post MAP inoculation. The authors reported persistent infection of ileum and mesenteric lymph nodes throughout the duration of the study with a predominant Th1 type immune response, and the absence of fecal shedding and humoral response. Using the same model, they were also successful in differentiating the virulence of mutant and wild-type MAP strains, wherein the mutant strain failed to establish infection. After directly inoculating MAP into ileum using an ileal cannulation model, Allan et al. (105) observed a similar immune response as observed after oral challenge (106). In another oral MAP experimental challenge, early transcriptomic changes in PBMCs in MAP exposed animals indicated consistent changes in the regulation of antigen presenting pathway and processing genes and downregulation of lipid pathway associated and anti-bacterial defense genes (CD38) (107, 108). By directly inoculating MAP into ileocecal Peyer's patches, Plattner et al. (96) induced consistent intestinal MAP infection as evidenced by dose-dependent histopathological lesions, MAP culture positivity from tissues along with intermittent fecal shedding. The same model was also used to assess efficacy of future MAP vaccines and drug supplements (109). In another model, surgical isolation of an ileal segment of calf and its inoculation with MAP enabled persistent enteric localized MAP infection leading to the recruitment of macrophages, dendritic cells, CD8⁺, and γδ T cells in lamina propria (110). Furthermore, increased expression of cytokines TNF-α and IFN-γ by lamina propria leukocytes was also observed. The above described models offer tremendous insight into early host-pathogen interaction dynamics post MAP challenge. But the chronic nature of JD means that monitoring clinical progression of disease in infected animals is challenging and would require conducting longitudinal experimental trials that could span several years (>5 years). However, as observed by Begg et al. in their longitudinal study, not all the infected animals will progress into clinical forms as some recover from infection (111). Such animals are particularly intriguing as models to study immunogenetics aspect associated with resilience to MAP infection.

Genomic Approaches to Identify Putative Biomarkers

While the host response at a cellular level to MAP infection has been investigated comprehensively, the molecular regulation of the immune response is still yielding valuable insights that offer resolution into the evolutionary battle between the host and MAP. Next-generation sequencing (NGS) technology-based RNA-sequencing (RNA-seq) studies are commonly employed to identify and quantify the expression of differentially regulated genes (DEGs). These DEGs are further subjected to bioinformatic analyses that enable identification of up- and down-regulated biological pathways in the context of MAP infection, and thereby generate better understanding of the biological processes associated with MAP infection and the host immune response. For instance, RNA-seq has been successfully used to profile transcriptome expression in intestinal tissues (e.g., ileal tissue, ileocecal valve), salivary glands, PBMC, and macrophages challenged with MAP.

In order to understand gene regulation at the primary site of MAP infection and how it varies between uninfected cows (control) and naturally infected subclinical and clinical JD cow groups, Hempel et al. (112) compared the ileocecal valve (ICV) transcriptome profile between the respective groups, and their results suggested enrichment of different pathways between groups. While differentially expressed genes between the clinical and control group influenced immunological pathways like immune cell receptor signaling and apoptosis, genes related to metabolism were differentially expressed between subclinical JD and the control group. Moreover, comparison between clinical and subclinical JD cows identified genes with a role in chemotaxis, leukocyte migration, complement, and coagulation pathway. Interestingly, in another comparative transcriptome study involving naturally infected cows with JD-associated histopathological lesions and control cows with no lesions, the CXCL8/IL8 signaling pathway, which plays a role in neutrophil recruitment, was found to be differentially regulated in both ICV and PBMC (113). In another study, we recently characterized RNA-seq salivary gland (mandibular and parotid) transcriptome profile in MAP exposed cattle and identified downregulation of genes such as lactoferrin and lactoperoxidase compared to unexposed cattle (114). Using ileal loop model, Khare et al. (115) assessed early transcriptome changes due to MAP infection in the ileal mucosa by RNA-seq and identified downregulated pathways that favor MAP survival (increased mucosal permeability, decreased phagosome-lysosome fusion via inhibition of calcium signaling, and decreased MHC-II expression) and promote persistent infection (increased Th2 response).

RNA-seq has also been employed to study the biology of MAP-MDM interaction and indicated that transcriptome changes in MAP-infected macrophages involve a balance between pro- and anti-inflammatory responses (116), downregulation of phagocytosis and antigen presentation genes, and activation of pathways like suppressor of cytokine signaling (SOCS) and cytokine-inducible SH2-containing protein (CISH) that favor MAP survival (117). More recently, a study by Ariel et al. showed that MAP infection altered gene pathways involved in MDM metabolism, polarization and apoptosis also favoring MAP survival (118). Lastly, using an in vitro co-culture model comprised of MAC-T cells and macrophages, Lamont et al. (119) identified activated MAP gene pathways within MAC-T cells that mediate MAP cell wall rebuild and MAP DNA repair to favor the establishment of MAP infection (119).

RNA-seq also has applications in identification of microRNAs (miRNA) for potential use as diagnostic biomarkers of JD. Based on the small RNA-seq method, Farrell et al. (120) identified both known and novel circulating miRNA from the sera of MAP challenged sero-positive and unchallenged control calves at 6 months post-infection. Although between group analysis did not reveal significant differences in miRNA expression, significant differences within group in the levels of miR-205 and miR-432 expression were found between pre-challenge and 6-month post-challenge levels. Using a combination of four circulating serum miRNAs (miR-1976, miR-873-3p, miR-520f-3p, miR-126-3p), Gupta et al. (121) developed a model that can differentiate cattle based on severity of MAP infection as either non-infected, moderately- or severely-infected (121). Liang et al. (122) analyzed both microRNAome (microRNA) and mRNA profiles in calf ileal segments after MAP infection and identified a total of nine differentially expressed miRNAs. Further integrated analyses of miRNAome and the transcriptome indicated that the differentially expressed miRNAs contributed to regulating the host immune response (e.g., proliferation of endothelial cells, bacteria recognition, and regulation of the inflammatory response) to MAP infection. By conducting whole blood miRNA-seq, Malvisi et al. (123) identified 9 and 8 immune response associated miRNAs differentially expressed between infected vs. unexposed and between exposed vs. unexposed cows, respectively. The cows classified as infected were ELISA and fecal culture positive, and both exposed and unexposed cows were ELISA negative but were from JD positive and negative herds, respectively. In another study, three differentially expressed miRNAs were identified in bovine feces with JD diagnostic potential (124). Alongside miRNA, long non-coding RNAs (lncRNA) constitute another type of non-coding RNA that function as regulators of gene expression. In the context of MAP-macrophage interaction, macrophage lncRNAs that regulate immune genes involved in NF-κB2 signaling pathway were identified using RNA-seq (125). RNA-Seq transcriptome studies have enhanced our understanding of host-MAP interaction dynamics. While each RNA-seq studies differ in the kind of tissue studied and the stage of disease in the study animals, the differentially enriched biological pathways identified thus far are predominantly associated with regulation of host immune response to MAP infection. It all begins with the ability of MAP to subvert macrophage response to establish persistent infection followed by altering key immune pathways to promote disease progression.

Before the advent of NGS, transcriptome profiling usually involved microarray hybridization assays where transcript profiling was limited to probes present on the panel (126–129). NGS-based transcriptome profiling enables global transcript analysis and the identification of genes and gene regulation pathways with a potential to identify diagnostic markers and vaccine targets; and this is particularly significant for MAP infection with issues associated with accurate early diagnosis coupled with the absence of an efficacious vaccine (130).

Genetic Background of Johne's Disease

Heritability and Breed Susceptibility to MAP Infection in Cattle

Breed susceptibility to MAP infection has been widely reported in cattle indicating genetic predisposition to JD. A survey conducted in the UK reported a higher incidence rate of JD in Channel Island cattle breeds such as Jersey and Guernsey (odds ratio 10.9–12.9) compared to the Holstein breed (131). Similarly, Sorge et al. (132) reported a higher odds ratio (1.4–8.3) in Jersey and Guernsey cattle for being milk ELISA positive for MAP antibodies in comparison with Holsteins, Milking Shorthorn and Brown Swiss breeds. Bos taurus indicus (Zebu) animals have a greater odds ratio for being seropositive for MAP-specific antibodies in comparison to Bos taurus taurus (Taurine) animals (133). Although the genetic basis of breed susceptibility to MAP infection has not been clearly defined, these reports indicate that JD resistance vary across breeds.

An alternative strategy to reduce or eliminate JD is through genetic selection. Susceptibility to MAP infection is a heritable trait with heritability estimates ranging from 0.03 to 0.228 (49), indicating that there is enough genetic variability for JD resistance to consider selective breeding. The differences in the reported heritability estimates are attributed to factors such as different phenotypes (e.g., results from alternative testing protocols or biological samples), statistical procedures used to determine heritability and variation in JD incidence in the population studied (49). Although low-to-moderate, heritability estimates reflect the role of host genetic makeup in influencing MAP infection status in dairy cattle and offers a potential to employ genetic selection to breed for JD resistance. The need to adopt genetic selection in breeding becomes even more apparent when considering the lack of highly effective treatments and vaccines to deal with JD.

Genomic Studies Related to Johne's Disease

Further evidence for genetic basis for susceptibility to JD can be found through candidate gene and genome-wide association studies (GWAS). While candidate gene studies look for association between polymorphisms in a particular gene and the disease phenotype, GWAS are conducted at the whole-genome level, usually based on single nucleotide polymorphism (SNP) genetic markers distributed across all chromosomes, statistically tested for their association with a JD phenotype. Recent studies have employed several different phenotypes to identify such associations. To selectively breed for disease resistance, a reliable diagnostic phenotype (e.g., measurement of resistance to MAP infection) must be available to livestock breeders. Given the complex nature of JD and its pathogenesis, potential JD traits can include direct indicators such as MAP load in feces and tissues detected by culture and PCR tests, and indirect indicators such as serum and/or milk ELISA test positivity for MAP-specific antibodies that are indicative of MAP exposure and a subsequent host immune response. As discussed earlier, each available test has its own advantages and disadvantages and they differ in their sensitivities depending on the stage of infection.

A number of GWAS associated with JD in dairy cattle have been published thus far, and several quantitative trait loci (QTLs) and candidate genes have been identified accordingly. Using 12 paternal-half sibling families, Gonda et al. (134) performed genome-wide linkage analysis and identified a QTL located on the Bos taurus autosome (BTA) 20 that was associated with MAP infection based on serum culture and/or fecal culture positivity. Using the sire-maternal grandsire model, van Hulzen et al. (135) genotyped 192 Dutch sires and carried out a GWAS using deregressed estimated breeding values (dEBV) for milk ELISA based on records from 265,290 individual Holstein-Friesian cows, and identified five SNPs located on BTA4, BTA5, BTA18, and BTA28 associated with susceptibility to MAP infection. Settles et al. (136) reported QTLs on BTA3 strongly associated with MAP culture positivity in tissues (ileum, ileo-caecal valve and two adjacent ileo-caecal lymph nodes), and QTL on BTA9 associated with presence of MAP in both tissues and feces. By further defining tolerance as both quantitative and categorical trait, Zanella et al. carried out a GWAS using the same data from the Settles et al. study, and identified SNPs located on BTA1, BTA2, BTA6, and BTA15 to be significantly associated with tolerance to MAP infection (137). Further they identified a positional candidate gene GNA12 located in proximity to significant SNP on BTA 15. Using 50K genotypes from 242 cows, Pant et al. (138) performed a GWAS based on principal component regression analysis (PCA) and identified QTLs on BTA1, BTA5, BTA6, BTA7, BTA10, BTA11, and BTA14 significantly associated with ELISA positivity for MAP antibodies. On BTA7, the positional candidate genes identified included IL-4, IL-13, IL-5, IRF1, SLC39A3, TNFIP8L1, and TICAM1 that are associated with resistance to MAP. In order to fine map the QTLs identified in the Pant et al. study and to identify new QTLs, we further imputed 50K genotypes to the 777K high-density (HD) panel using the FImpute software (139); seven novel QTLs located on BTA15, BTA16, BTA20, and BTA21 were identified in addition to previously reported QTLs on BTA1, BTA5, BTA7, BTA10, BTA11, and BTA14. This indicates that the use of higher density genotyping platforms, or even better whole-genome sequence data, are recommended to perform GWAS for highly polygenic traits such as JD resistance. Furthermore, follow-up bioinformatic analyses revealed several candidate genes involved in pro-inflammatory immune function that are relevant to the host defense against MAP infection: NLRP3, IFi47, TRIM41, TNFRSF18, and TNFRSF4 (140). Alpay et al. has also reported SNPs located on BTA1, BTA2, BTA6, BTA7, BTA17, and BTA29 that are significantly associated with susceptibility to MAP infection in US Holstein cows using a combined phenotype consisting of serum ELISA and fecal MAP culture (141). In an earlier GWAS in Jersey cattle, Zare et al. reported SNPs located on BTA3, BTA16, BTA17, and BTA23 associated with MAP serum ELISA and fecal culture positivity (142). In a GWAS involving 966 Italian Holsteins, Minozzi et al. identified QTLs on BTA9, BTA11, and BTA12 that were associated with serum antibody response (143). In a meta-analysis conducted using two earlier GWAS, Minozzi et al. combined populations from the USA and Italy (n = 1,190 cows) and found significant associations on BTA1, BTA6, BTA7, BTA12, BTA13, BTA15, BTA16, BTA21, BTA23, and BTA25 for combined MAP tissue culture and ELISA phenotype (144). Using data from two different populations, Kirkpatrick et al. performed both individual and combined data analysis and identified 51 SNPs located on BTA2, BTA2, BTA4, BTA5, BTA6, BTA7, BTA9, BTA10, BTA13, BTA14, BTA15, BTA16, BTA17, BTA18, BTA20, BTA21, BTA22, BTA23, BTA25, BTA26, and BTA29 that were associated with susceptibility to MAP infection (145). In an across-breed (Holstein and Jersey) GWAS conducted by combining P-values from previous independent within-breed GWAS analyses, Sallam et al. identified two significant SNPs Hapmap40994-BTA-46361 and ARS-BFGL-NGS-19381 located on BTA19 and BTA23, respectively (146). Within close proximity to ARS-BFGL-NGS-19381, two positional candidate genes with immunological roles were found including BTN1A1 (Butyrophilin) and TDP2 (tyrosyl-DNA phosphodiesterase 2. In a GWAS analyses conducted where JD cases were defined as positive for MAP tissue infection, several positional candidate genes (e.g., BCAR3, FLVCR2, RASA3, MGC134473, MARK1, C16H1orf115, MARC2, C10H14ORF1, and CDC42BPA) distributed across various chromosomes were identified (147); the putative biological relevance of many of these identified genes involved their roles in processes such as signal transduction, MAP entry into host cells and other immunological effects. In a recent study involving a Chinese Holstein population using a high density SNP panel and two different GWAS methods (GRAMMAR-GC and ROADTRIPS), Gao et al. identified 26 SNPs located on 15 chromosomes to be associated with serum ELISA positivity for MAP infection (148). Interestingly, a few of the positional candidate genes identified in this study were also identified in previous GWAS; this included the genes IL-4, IL-5, IL-13, IRF1 from the Pant el. study (138) and TDP2 from the Sallam et al. study (146). In a GWAS involving Canadian Holsteins, SNPs on BTA1, BTA7, BTA9, BTA14, BTA15, BTA17, BTA19, and BTA25 showing significant association with milk ELISA positivity were identified along with two candidate genes, CD86 and WNT9B (49). McGovern et al. conducted a GWAS using imputed sequence data and identified and putative QTLs on BTA1, BTA3, BTA5, BTA6, BTA8, BTA9, BTA10, BTA11, BTA13, BTA14, BTA18, BTA21, BTA23, BTA25, BTA26, BTA27, and BTA29 associated with MAP antibody response (149). They also reported 10 candidate genes harboring these QTLs that have been previously associated with human inflammatory bowel disease. A recently reported sequence-based GWAS in French Holstein and Normande cattle identified three QTLs located on BTA12, BTA13, and BTA23 to be associated with resistance to MAP infection; three functional candidate genes ABCC4 (BTA12), CBFA2T2 (BTA13), and IER3 (BTA23) that explained a large proportion (28%) of the total additive genetic variance were further identified (150). While causal variants were found within the genes ABCC4 and IER3, the gene CBFA2T2 is in strong linkage disequilibrium with the causal variant with significant effect. Table 1 lists all the positional candidate genes identified by GWAS.

TABLE 1

Table 1. Chromosomes with SNPs and candidate genes statistically associated with resistance to Johne's disease in cattle.

While the above studies made use of different phenotypes, genotyping platforms, populations (e.g., breeds), sample sizes, and employed different analytical models, the identification of numerous QTLs located on almost all chromosomes, but with little overlap, highlights the polygenic and complex nature of JD resistance in dairy cattle (48). It is clear that JD is a complex polygenic trait controlled by a large number of QTLs with small effects distributed across the cattle genome. Although GWAS have been successful in identifying genetic variants that are associated with susceptibility/resistance to MAP infection, the comparison of findings lacks congruency. The possible reasons for this include uncertainty of accurately diagnosing JD owing to issues associated with sensitivity of JD diagnostic methods. Additionally, since JD is a complex chronic disease with multiple stages seen during its pathogenesis, the genetic associations observed during one stage of the disease may differ from others and drawing a conclusive inference is difficult. Additionally, as mentioned above in particular reference to case-control study designs, the methods employed to define the disease phenotype vary, and this could influence the associations that are identified (165).

Candidate gene studies involve studying the association between polymorphisms in a specific gene and a certain phenotype. The candidate genes are selected based on information available in the scientific literature, and their functional role in the pathogenesis of JD, or a similar disease such as CD. Candidate gene studies involve a case-control experimental design where particular candidate gene polymorphisms are genotyped followed by statistical analysis to determine its association with the disease phenotype. Polymorphisms in the candidate genes are typically either SNPs or micro-satellite markers. Genes coding proteins of the immune system are some of the candidate genes that have been studied in the context of JD in cattle. For example, it has been reported that polymorphisms in the following genes: Toll-like receptors (TLR 1, 2, 4) (157, 158, 163); Nucleotide binding oligomerization domain containing 2 (NOD2) (152–154); Solute carrier family 11 member 1 (SLC11A1) (166); Interleukin 10 receptor alpha (IL-10Rα) (164); SP110 nuclear body protein (SP110) (156); and IFN-γR2, IL-12Rβ1, IL-12Rβ2, IL-23R (160); Dectin-1 (CLEC7A) (161); Peptidoglycan recognition protein 1 (PGLYRP1) (159); and Wingless-type MMTV integration site family member 2 (WTN2) (162) have been significantly associated with MAP infection status in different cattle populations.

In the context of JD, these candidate genes play an active role in immune response acting as either pattern recognition receptors (PRR), receptors of cytokines that drive inflammatory and anti-inflammatory response, or genes that promote killing of intracellular pathogens such as MAP.

NOD2 (previously known as CARD 15) codes for a PRR implicated in recognition of the mycobacterial cell wall constituent, muramyl dipeptide (167). NOD2 further stimulates the transcription factor NF-KB that regulates pro-inflammatory cytokine expression (168). The TLR1, TLR2, and TLR4 genes also code for PRRs that recognize MAP-associated membrane patterns and initiate the host innate and adaptive immune responses in the infected host (169–171). Another PRR coded by CLEC7A is expressed on antigen presenting cells (APCs) and is known to recognize MAP and initiate cytokine secretion by phagocytic cells through its synergistic action with TLR2 and TLR4 receptors (169). The PGLYRP1, SP110, and SLC11A1 gene products are also known to trigger innate immune response against intracellular bacteria. While PGLYRP1 functions via neutrophil-mediated killing of bacteria (172), SP110 expression in macrophages is shown to limit mycobacterial replication (173). SLC11A1, formerly called as NRAMP1, gene product is expressed on phagosomes and is a divalent phagosomal metal ion (Mn⁺², Fe⁺²) transporter (174) known to control intracellular bacterial replication by regulating divalent ion concentrations within phagosomes (175). The other candidate genes studied for their association with MAP infection status include IL-10Rα, IFN-γR2, IL-12Rβ1/ β2, and IL-23R, whose gene products serve as the receptors of cytokines IL10, IFN-γ, IL-12, and IL-23, respectively. IFN-γ, IL-12, and IL-23 are pro-inflammatory Th1 cytokines that control MAP infection in the early stages and play a major role in the early cell-mediated immune response driving the cell-mediate immune response in the infected host (89). In contrast, IL-10 is an anti-inflammatory and immunoregulatory cytokine that is involved in regulating the host inflammatory response to MAP infection (176). Another reported candidate gene associated with MAP infection status is the WNT2 gene with a immunomodulatory functional role in regulating intestinal inflammation and in maintaining tissue homeostasis (177). Not being limited to single SNP associations with MAP infection status, some studies have also reported haplotypes associated with MAP infection status. The list of candidate genes and their polymorphisms/haplotypes significantly associated with MAP infection status are detailed in Table 2.

TABLE 2

Table 2. List of Johne's disease candidate gene studies in cattle.

Validation of SNPs and Functional Characterization of Candidate Genes

GWAS and candidate gene studies have revealed information on the biology of resistance and genetic basis for JD in cattle. While the genetic influence of MAP infection status is clear and JD is a polygenic disease, validation of all the identified genetic markers based on independent populations as functional genomic studies to uncover the causal mutations are both necessary as well. We recently conducted one such validation study wherein we tested some of the previously identified JD SNPs for their association with sire EBVs estimated for milk ELISA test score (178). Using both General Quasi Likelihood Scoring (GQLS) and single-SNP regression analysis we validated five SNPs (rs41810662, rs41617133, rs110225854, rs110494981, and rs136182707) that offer potential for their inclusion in future marker-assisted breeding programs (178). While our study was limited to a few SNPs, similar validation studies with inclusion of all the reported JD SNPs in the literature should be explored in the future.

JD candidate gene association studies offer great insights on the biological mechanisms involved in JD resistance/susceptibility. However, these are only statistical associations and therefore studies validating the biological significance of JD candidate genes are also warranted. The recent evolution of genetic engineering technologies such as CRISPR/cas9 gene editing (179) can be used to validate JD candidate genes. Using the CRISPR/cas9 gene editing technique, we recently created a IL10RA knock-out MAC-T cell line to study functional relevance of candidate gene IL10RA (164) in the context of MAP lysate stimulation (101). IL10RA functions as a trans-membrane receptor of anti-inflammatory cytokine IL-10 known for its immunoregulatory role during JD immune-pathogenesis. Knocking out IL10RA led to dramatic upregulation of pro-inflammatory cytokine expression after stimulation with MAP lysate and further confirmed its role in eliciting anti-inflammatory response via IL-10 during MAP immune response.

Future Prospects

Research Tools to Enhance Resolution of Infection Processes

Intestinal Organoids

To limit the use of experimental animals and obtain more predictive results, other in vitro models that approach biological reality more closely are increasingly being developed. One such model includes organoids that mimic the three-dimensional tissue structure (180). Organoids have been developed using human cells and also in animal models of human disease (181). Relevantly, organoids have also been developed from bovine intestinal tissue (182). Such models can be used to identify host and microbial factors and further characterize early host immune response. Recently, human colon organoids developed from IBD patients were characterized and also tested as a therapeutic model to investigate intestinal healing (183). Going forward, a similar approach to develop intestinal organoids from JD positive cows can be considered to study host-pathogen interaction and immunopathogenesis associated with MAP infection at mucosal surface.

Single-Cell RNA-Seq

The macrophage response to MAP infection can be more thoroughly studied in vitro using RNA-seq transcriptome profiling (116); however, this also can come with challenges. Post challenge for example, not all macrophages get infected with MAP (63); these ‘by standers’ and cells in heterogeneous physiological states (i.e., cells killing or tolerant to MAP, and apoptotic cells) will lead to a diluted transcription profile that can mask the detection of genes within MAP-infected cells. This limitation, however, can be addressed using single-cell RNA-seq (scRNA-seq) studies. Macrophages can be challenged with florescent MAP followed by sorting infected and uninfected macrophages by fluorescence-activated cell sorting (FACS). The sorted single cells can then be further subjected to RNA-seq transcriptome analysis to identify DEG and enriched biological pathways. Using a similar approach, Saliba et al. studied the macrophage response to Salmonella infection and showed how polarization state differed between uninfected (M1) and infected macrophages (M2) (184). In the context of MAP infection, such approach would enable researchers to discern potential differences in the response to MAP challenge between infected and uninfected cells. Understanding host-pathogen interaction using scRNA-seq holds the potential to explore the dynamic changes in host transcriptome profile due to infection at the single-cell level and to further identify biomarkers and to develop novel vaccines and therapeutic targets (185). scRNA-seq is a powerful tool with a wide range applications in basic and medical research fields including the study and control of infectious diseases (186–188).

Gene Knock-in Studies

To date, functional validation of biological relevance of JD candidate genes using CRISPR/cas9 has been limited to gene knock-out studies using the non-homologous end-joining (NHEJ) mechanism (101). However, through this approach, the impact of a risk allele in the context of MAP infection cannot be studied. By using a homology-directed (HDR) repair mechanism that relies on addition of a donor template, CRISPR/cas9 gene editing can be further applied to create a mutational homozygous/heterozygous knock-in at a specific SNP loci (189). The selective introduction of mono/bi allelic variants will enable the creation of allelic variant models to compare allele-specific responses for MAP infection (190).

Integrating GWAS and Transcriptomics—Systems Genetics Approach

Several SNPs or gene mutations have been mapped in the bovine genome for their association with JD through GWAS. However, mapping these genetic variants to underlying molecular biological pathways associated with disease pathogenesis has been largely unsuccessful (191). Understanding this relationship is critical since it could allow for identification and design of therapeutic strategies (192). Integrating GWAS and RNA-seq transcriptomics data using a systems genetics approach has been extensively undertaken to identify loci/variants associated with dysregulated biological network pathways that play a role in complex traits. This integrative systemics genetics approach has been used to identify causal genes and pathways associated with obesity in pigs (193), and mastitis and milk production in cattle (194), and buffaloes (195). As several GWAS and RNA-seq transcriptomic studies are reported for JD, adapting an integrative systems genetics approach will significantly benefit a complex polygenic trait such as JD to identify causal genes and biological pathways that influence disease progression in cattle.

Vitamin D and MAP Infection

The nutritional status of cattle immediately prior and during the course of infection is likely to be an important determinant not only of disease susceptibility but also on the ability of cattle to control MAP infection. One micronutrient that has attracted considerable attention in that regard is vitamin D. Principally obtained from sunlight, but also from the diet, the availability of vitamin D has increased relevance in terms of housed cattle and deficiency may exacerbate mycobacterial disease susceptibility (196). Additionally, serum vit D deficiency status has been shown to predict tuberculosis (TB) risk in humans in a dose-dependent manner (197). In bovine PBMC studies, 1,25 dihydroxyvitamin D₃ (1,25-(OH)₂D₃) inhibited M. bovis-specific IFN-γ production, yet enhanced M. bovis-specific nitric oxide (NO) production. Lymphocyte apoptosis was also diminished by addition of 1,25-(OH)₂D₃ to PBMC cultures (198). 1,25-(OH)₂D₃ was also shown to inhibit the T-cell stimulatory capacity of bovine monocyte-derived dendritic cells (MoDCs) (199). Studies in JD infected cattle are more limited, but vitamin D concentration in cows with positive JD serum ELISA status have been reported to be lower than in cows with a negative status (200). A recent study performed transcriptomic analysis in naturally infected cattle and showed significant differential expression for genes in the vitamin D pathway such as CYP27A1, CYP27B1, DBP, and IFNG in JD+ cattle (201). Interestingly, upregulation of CYP27A1 was observed for cows in subclinical status, whereas the CYP27B1 expression was enhanced for clinical status cows. Therefore, decreased circulating 1,25-(OH)₂D₃ in animals with clinical JD may suggest that these cows have reduced innate immune responses, thereby influencing the ability of animals to fight MAP infection.

Gut Microbiota and MAP Infection

The composition of gut microbiota and its effect in predisposing humans to IBD is well-documented (202). Chronic inflammation seen in IBD at the gut mucosal level is attributed to reduction in the levels of bacteria with anti-inflammatory properties, as opposed to its pro-inflammatory counterparts (202, 203). This imbalance in gut microbiome diversity commonly referred to as “dysbiosis” has unearthed the significance of gut microbiota in promoting intestinal homeostasis (204). Furthermore, remission of symptoms in CD patients post fecal microbiota transplantation holds promise as a potential alternative therapeutic strategy to immunosuppressive drugs (205). Similar to CD in humans, marked dysbiosis in the fecal microbiota community was observed in MAP-infected cattle when compared to MAP-exposed and MAP-negative cattle (206). Using a rabbit MAP infection model, Arrazuria et al. (207) also noticed changes in gut microbiota composition due to MAP infection and dietary changes. While changes in gut microbiota content during MAP infection are evident, studies linking the same to explain pathogenesis of MAP infection needs to be undertaken. This further holds potential in classifying animals as resistant or susceptible to MAP infection based on their gut microbiota profile. Recent evidence in cattle suggests that rumen microbiome content is heritable (208, 209). Similar understanding of the influence of host genetics on intestinal microbiota could pave the way to selectively manipulate gut microbiota and in turn to breed for JD resistance. Going forward, studies in this regard are highly warranted.

Genomic Selection for JD Resistance

Genomic selection (GS) involves prediction of breeding values based on whole-genome SNP marker information estimated based on a training population comprising of genotyped animals with measurements for a particular trait(s) (210). Genomic selection is now a routine breeding practice in the dairy cattle industry (as well as many other plant and livestock species). In dairy cattle, the implementation of GS results in substantial reduction of the generation interval, increased genetic progress due to higher selection intensity and greater accuracy of breeding values at an early age, and reduced costs associated with phenotypic data collection on all selection candidates (211). GS has been successfully implemented for various traits in dairy cattle (212), and high genetic gain has been also achieved for lowly-heritable traits (212). Indeed, this is promising for JD. To our best knowledge, no studies have investigated the accuracies of genomic predictions for JD resistance, but this is an area of great importance for future studies.

The success of genomic selection is largely dependent on the size and the design of the training population, which ultimately influence the accuracies of the genomic estimated breeding values (GEBV). However, unlike production traits, implementation of GS for health traits such as JD resistance is complex and poses many challenges (213). Before considering routine genomic evaluations for JD resistance, concerted efforts should be focused on creating a large training population (> 5,000 animals) with accurate JD phenotypic information. As many indicator traits have been used to assess MAP susceptibility in cattle and the associated uncertainty with each trait, a consensus on a trait to be employed in JD selection programs should be arrived first. While measuring MAP load in tissues as an indicator of tolerance projects to be a reliable trait, the need to slaughter animals limits its employment (48, 137). If feasible, it would be worthwhile estimating and comparing GEBV accuracies for each phenotype using different training populations to assess their accuracy for genomic selection for resistance to JD. Consequently, the effect of genetic selection for JD resistance on other traits should also be considered and evaluated.

Conclusion

The focus of this review was to provide comprehensive update and to highlight recent advancements about JD in cattle from the standpoint of host immune response and genetic regulation of the same. While our focus was from the host perspective, studies understanding the physiology of MAP and their pathogenicity are also happening. Uncovering the role of key immune regulators and genes in JD pathogenesis while also unearthing the impact of host genetic make-up in influencing response to MAP infection has shed immense light on the immunogenetic aspect of JD. Additionally, prior knowledge of host immunogenetic aspects related to an infection is critical in developing vaccines with high immunogenicity as response to vaccines is also determined by the host genetic make-up. With recent advancements in research technologies, our understanding of JD has progressed significantly and will continue to evolve. As we move forward, concerted collaborative efforts will be required to limit the impact of JD on the global livestock industry and on human health.

Author Contributions

SM, KM, and NK conceptualized the content and overall scope of the review. SM wrote the first draft of the manuscript. LB, SP, and FS provided insights and advice on the genetics and microbiota research input to the review article. All authors contributed to manuscript revision and approved the submitted revision.

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.

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