Abstract
In China, citrus Huanglongbing (HLB) disease is caused by the Candidatus Liberibacter asiaticus bacterium, which is carried by the Asian citrus psyllid Diaphorina citri Kuwayama. It was hypothesized that the epidemic of the HLB may related with the rate of bacterium presence in the insect vector and bacterium content in plant tissues, as well as the phyllosphere microbe communities changes. This study systematically analyzed the presence or absence of Ca. L. asiaticus in citrus tree leaves and in the insect vector D. citri over a 6-year period using real-time PCR. In addition, changes in the number of bacteria carried by D. citri over 12 months were quantified, as well as the relationship between the proportion of D. citri carrying Ca. L. asiaticus and the proportion of plants infected with Ca. L. asiaticus were analyzed. Results showed that the proportion of D. citri carrying bacteria was stable and relatively low from January to September. The bacteria in citrus leaves relatively low in spring and summer, then peaked in December. The proportion of D. citri carrying bacteria gradually declined from 2014 to 2019. The proportion of D. citri carrying Ca. L. asiaticus showed a significant positive correlation with the proportion of diseased citrus. The phyllosphere bacterial and fungal communities on the healthy citrus leaf were significantly different with the disease leaf in April and December. Pathogenic invasions change the citrus phyllosphere microbial community structure. It could be summarized that citrus Huanglongbing correlated with incidence of Diaphorina citri carrying Candidatus Liberibacter asiaticus and citrus phyllosphere microbiome.
Highlights
(1) We monitored citrus Huanglongbing (HLB) for 6 years to obtain enough samples and accumulate long-term continuous data to analyze the spread and prevalence of Huanglongbing in Zhejiang Province, China.
(2) The number of pathogenic bacteria in citrus leaves and the rate of insect vector Diaphorina citri carrying bacterium was lowest in spring and highest in December.
(3) Phyllosphere microorganisms of citrus are correlated with HLB.
Introduction
Citrus Huanglongbing (HLB) disease has been reported over 50 countries around the world, which causes serious damage to the citrus industry (; ; Lopes et al., 2010). HLB is caused by a group of bacteria called Candidatus Liberibacter that inhabit in the phloem of citrus trees. Three species of HLB-causing bacterium have been reported: Candidatus Liberibacter africanus, Candidatus Liberibacter asiaticus and Candidatus Liberibacter americanus. The bacteria can infect different tissues of host plant once invading, and then affect plant growth and development, such as causing metabolism disorders, leaves yellowing, fruits deformity, and roots rot (Pustika et al., 2008; ; ; ). Infected citrus trees will be significantly shortened profitable lifetimes and lower yields ().
In plant pathological systems, many parasites infect plants and increase their prevalence by host vectors. HLB is transmitted by insect vectors feeding on the phloem of citrus foliage. The HLB causing by africanus species is transmitted by the African citrus psyllid Trioza erytreae. Meanwhile, the HLB causing by the asiaticus and americanus species is transmitted by the Asian citrus psyllid Diaphorina citri Kuwayama (Hemiptera: Liviidae) (). Studies have shown that HLB disease in China is caused by Ca. L. asiaticus, which is associated with the vector D. citri (). Suitable growth area of the bacteria and the insect hosts has been expanded with the rising winter temperatures in recent decades due to global warming (Wang et al., 2020). Bacteria are acquired by D. citri when they feed on the infected plant, after that, bacteria will proliferate in D. citri and maintain throughout the life history of the adult psyllid (; Tabachnick, 2015; Luo et al., 2016). Citrus HLB is optimal and limitted by temperature conditions (Narouei-Khandan et al., 2015). However, there is still no long-term quantitative monitoring of bacterial content levels in different hosts, and lack of understanding of this aspect.
The population dynamics of insects are closely related to the growth rhythm, desirable food intake and nutritional quality of host plants (Wallner, 1987). The phenological characteristics of host plants will affect the growth of insects, leading to genetic variation among insect individuals and genetic differentiation among insect populations (). Although tremendous progress has been made in understanding the ecological and evolutionary underpinnings of the Liberibacter disease pyramid, little is known about the quantitative relationship between these factors in the pyramid.
The phyllosphere (aboveground part of terrestrial plants) is an important niche of the plant, inhabited by diverse microbes which are collectively called the phyllosphere microbiome (Vorholt, 2012). The phyllosphere microorganisms could influence host plant by affecting nutrient acquisition, promoting host stress tolerance, altering plant hormones, and mediating plant pathogen interactions (Stone et al., 2018). The phyllosphere microbiomes were found to differ between infected and uninfected citrus leaves by melanose pathogen, and part of the phyllosphere microbiome shift could positively affect plant performance against pathogen invasion (Li et al., 2022).
In this study, we hypothesizes that the epidemic of the HLB may related with the rate of bacterium presence in the insect vectors and bacterium content in plant tissues, as well as the phyllosphere microbe communities. Citrus unshiu orchards in different regions of Zhejiang and Hunan Province were systematically analyzed to determine the level of threat from HLB disease (Figure 1). The number of D. citri carrying Ca. L. asiaticus over time was quantified. The phyllosphere microbiomes of healthy citrus leaves and HLB diseased leaves were investigated in April and December to understand the correlation among phyllosphere microbial community structure, HLB disease and seasonal effects. The aim of this study is to determine the influence of the bacteria carrier rate of D. citri in citrus orchards at different growth stages, in order to provide a theoretical basis for future exploring the ecological regulation and comprehensive control of D. citri and Ca. L. asiaticus.
Figure 1
Materials and methods
Orchards location and sample collection
For monitoring the D. citri carring Ca. L. asiaticus over a six-year period from 2014 to 2019, random sites from locations in different counties in the south of Zhejiang Province were chosen for sample collecting (Figure 1, Table 1).
Table 1
| Years | locations and No.of Samples took | No.of Samples detected with HLB |
|---|---|---|
| 2014 | Cangnan (10), Ruian (10), Ouhai (10), Yongjia (10), Yueqing (10), Longquan (10), Yunhe (10), Qingtian(20), Songyang(10), Liandu (10), Yuhuan (10),Wenling(10), Luqiao (10), Jiaojiang (10), Linhai (10), Shanmeng (10), Xianju (10), Ninghai (10), Xiangshan (10), Yongkang (20) | Cangnan (6), Ruian (7), Ouhai (3), Yongjia (3), Yueqing (6), Longquan (4), Yunhe (5), Qingtian (4), Songyang (9), Liandu (8), Yuhuan (10), Wenling (4), Luqiao (4), Jiaojiang (4), Linhai (1), Shanmeng (3), Xianju (0), Ninghai (3), Xiangshan (1), Yongkang (4) |
| 2015 | Wenling (30), Liandu (30), Ninghai (12), Huangyan (10) | Wenling (13), Liandu (11), Ninghai (0), Huangyan (3) |
| 2016 | Yuhuang (20), Wenling (20), Luqiao (30), Jiaojiang (30), Linhai (10), Shanmeng (14) | Yuhuang (10), Wenling (10), Luqiao (10), Jiaojiang (10), Linhai (10), Shanmeng (10), |
| 2017 | Yongjia (24), Yueqing (60), Wenling (30), Liandu (30) | Yongjia (3), Yueqing (18), Wenling (10), Liandu(10) |
| 2018 | Ruian (30), Longwan (40), Yueqing (40), Wenling (10), Linhai (10) | Ruian (6) Longwan (10), Yueqing (10), Wenling (0), Linhai (8) |
| 2019 | Taishun (30), Wenling (20), Ruian (15) Longwan (63), Yueqing (61), Cangnan (97), Huangyan (17), Liandu (13), Qingtian (31) | Taishun (3), Wenling (15), Ruian (4) Longwan (34), Yueqing (7), Cangnan (23), Huangyan (1), Liandu (0), Qingtian (3) |
Proportion of Diaphorina citri carrying Candidatus Liberibacter asiaticus bacteria in orchards in southern counties in Zhejiang Province from 2014 to 2019.
All the C. unshiu trees monitored were over 12 years old and at the high yield stage. In each site, 60 psyllids were collected from one C. unshiu tree and stored into an individual 1.5-ml tubes, then frozen at –20°C for the future tests. DNA was extracted from 30 psyllids randomly selected from the 60 psyllids (the other 30 psyllids were stored for backup) and processed to detect and quantify Ca. L. asiaticus.
For monitoring the rate of D. citri and C. unshiu leaves carring Ca. L. asiaticus changes during the year, An orchards in Yueqing (Zhejiang Province), in which the disease incidence rate were over 90.0%, were sampled by using five-point sampling of the orchards, once a month for 12 months from May 2015 to April 2016. Five leaf samples were also collected from the same point where the insects collected to determine the bacterial content in the midvein. Approximately 45–70 insects were collected around the 20th day of each month. Thirty insects of each month were processed to determine the presence of the bacterium.
To determine the rate of D. citri carring Ca. L. asiaticus in orchard with different disease incidence, psyllids were also collected by using five-point sampling of the orchards in the early August from 22 orchards in Huangyan, Yueqing, Wenling and Yuhuan (Zhejiang Province) in 2019 (Table 2).
Table 2
| tag | Location | Samled time | Investigated trees | % of deseased trees | Tested insects | The number of tested insects carrying bacterium | % oftested insects carrying bacterium |
|---|---|---|---|---|---|---|---|
| 1 | Huangyan | Aug-05 | 300 | 0 | 200 | 13 | 6.5 |
| 2 | Huangyan | Aug-05 | 300 | 0 | 200 | 7 | 3.5 |
| 3 | Huangyan | Aug-02 | 300 | 23.1 | 200 | 28 | 14 |
| 4 | Huangyan | Aug-02 | 300 | 12.3 | 200 | 11 | 5.5 |
| 5 | Huangyan | Aug-02 | 300 | 11.67 | 200 | 13 | 6.5 |
| 6 | Huangyan | Aug-05 | 300 | 0 | 200 | 7 | 3.5 |
| 7 | Huangyan | Aug-04 | 300 | 7 | 200 | 26 | 13 |
| 8 | Huangyan | Aug-04 | 300 | 12.9 | 200 | 26 | 13 |
| 9 | Huangyan | Aug-04 | 300 | 13.1 | 200 | 20 | 10 |
| 10 | Huangyan | Aug-04 | 300 | 7 | 200 | 27 | 13.5 |
| 11 | Huangyan | Aug-04 | 300 | 12.9 | 200 | 28 | 14 |
| 12 | Huangyan | Aug-04 | 300 | 13.1 | 200 | 20 | 10 |
| 13 | Yueqing | Aug-04 | 300 | 49.2 | 200 | 34 | 17 |
| 14 | Yueqing | Aug-04 | 300 | 67 | 200 | 60 | 30 |
| 15 | Yueqing | Aug-04 | 300 | 91.7 | 200 | 85 | 42.5 |
| 16 | Yueqing | Aug-04 | 300 | 98.5 | 200 | 134 | 67 |
| 17 | Yueqing | Aug-04 | 300 | 98 | 200 | 134 | 67 |
| 18 | Wenling | Aug-04 | 300 | 64.8 | 200 | 74 | 37 |
| 19 | Wenling | Aug-04 | 300 | 76.9 | 200 | 32 | 16 |
| 20 | Yuhuan | Aug-02 | 200 | 100 | 200 | 156 | 78 |
| 21 | Yuhuan | Aug-02 | 200 | 3.2 | 200 | 6 | 3 |
| 22 | Yuhuan | Aug-02 | 300 | 1.5 | 200 | 3 | 1.5 |
To study the relationship between the proportion of diseased plants and the proportion of D. citri carrying the bacterium, 22 different orchards located in Huangyan, Yuhuan, Wenling,and Yueqing were investigated.
Ten healthy and HLB leaves were collected by using five-point sampling within an area of 600 m2 for phyllosphere microbiome study at each sampling point in April (Spring) and December (Autumn), respectively, in Yongzhou (Hunan Province) in 2018. Ten leaf samples of each sampling point were mixed put into a sterile bag and refrigerated at -80°C. Every sterile bag contained 10 leaves which were cut into tiny pieces and the samples mixed into 4 treatments which are healthy Apirl (SK), diseased Apirl (SB), healthy December (AB) and diseased December (AK), before subsequent processing. The phyllosphere microorganisms were collected following the procedures of Xie et al. (2015). The microbes were filtered by a 0.22 μm filter microfiltration membrane using the air pump filtration, and then the samples were stored at -80°C for subsequent DNA extraction.
Detection and quantification of Ca. L. asiaticus
The insects or leaves were crushed with a glass rod, and DNA was extracted using the CTAB extraction method. 400µL prechilled buffer (100 mmol/L Tris-HCl, 10 mmol/L EDTA, 700 mmol/L NaCl, pH 8.0) was added into the crushed powder, then added 500µL 65°C preheated buffer (2% CTAB, 50mmol/L Tris-HCl, 10 mmol/L EDTA, 800 mmol/L NaCl, pH 8.0). Samples were mixed and incubated at 65°C for 120 min, during which mixing the samples by inverting the tubes gently per 20 min. After that, add 450µL chloroform and mix by inverting the tubes and centrifuge 2 minutes at 12000r, the aqueous phase (above the white interface layer) to a clean microtube (then discard the rest), add 1 μL RNase (DNase-free) and incubate for 30 min at 37°C. Add 0.6 mL of isopropanol (2/3 of the recovered volume). Gently invert the microtube to be sure mixing is complete. Leave to precipitate for overnight at room temperature to precipitated the DNA, spin 15 min at 12000r at 4°C to pellet the DNA, remove the supernatant carefully, then wash the pellet once or twice with cold EtOH, spin 15 min at max speed, 4°C, remove supernatant and dry the pellet by leaving tube open, resuspend pellet in sterile H2O, store at -20°C (Winnepenninckx et al., 1993). The bacterium was quantified using RT-qPCR, The primers pair: 5’-CAAGG AAAGA GCGTA GAA-3’ and 5’-CCTCA AGATC GGGTA AAG-3’ were used. The PCR is carried by 25μL system with 2μL DNA and 0.3 μmol/L primers and 1X PCR master mix, on the iCycler™(Bio rad, USA) marchin with the program of 94°C, 5 minute, 40 cycles of 95°C, 5 second, 59°C, 15 second, and 72°C, 45 second, ended with 72°C, 7 minute. A standard curve was prepared and calculated using T vectors with DNA fragments of the target bacterial gene (382 bp) insertion. Copy numbers of T vectors were diluted to obtain copy numbers of 10, 102, 103, 104, 105, 106 for a standard curve. The standard linear regression (Y=a+bX) of the log concentration of the target DNA copies(Y) versus the mean Ct value(X) were obtained (Li et al., 2008).
DNA extraction, PCR amplification and pyrosequencing for phyllosphere microbiome
The total DNA was extracted from phyllosphere samples according to the manufacturer’s protocol using the MP FastDNA® SPIN Kit for soil (MP Biochemicals, Solon, OH, USA). The PCR amplification were performed following Luo et al. (2019). The bacterial and fungi forward and reverse primers with a unique 12 nt barcode were included as the modification in the study, respectively. The bacterial and fungal ITS regions were amplified as previously described by
Raw sequence data reads were processed with an in-house pipeline (http://mem.rcees.ac.cn:8080). In brief, a separate sample was generated according to a series of 12-bp barcodes and primers, and allowing for one mismatch. Paired-end reads (overlap > 30 bp) were combined by the FLASH program (Magoc & Salzberg, 2011). The combined sequences (Quality Score < 20) were filtered by Btrim program (
Statistical analysis
To plot the curve to fit the relationship between D. citri bacterial infection rate and the HLB incidence, the linear mixed model uses the lmer function performed in the “nlme” package, and all statistical analyses were performed in the R3.2.5 (R Core Team, 2016). The Chao1 and Inv_Simpson index were used to assess the difference of α diversity indices between healthy and diseased citrus phyllosphere samples. The weighted principal coordinate analysis (PCoA) based on UniFrac matrix and nonparametric permutational multivariate (PERMANOVA) based on Bray Curtis were used to assess the difference of microbial community structure between healthy and disease phyllosphere samples (
Results
Quantitative detection of bacteria in the insect vector D. citri
In total, 1037 insect samples were collected from different sites in the south of Zhejiang Province over a six year-period from 2014 to 2019. Of these samples, the presence of the bacterium was detected in 319 D. citri samples using RT-qPCR (Table 1). Copy numbers of the bacterium gene per nanogram of DNA ranged from approximately 104 to 109 (Figure 2), however, 104–106 copy numbers of the bacterium gene were detected in the majority of samples. Approximately 104 copy numbers of the bacterium gene per nanogram of DNA were found in 47 samples, 105 in 81 samples, and 106 in 98 samples. The copy number of the bacterium gene per nanogram of DNA was 85.6% in 105–106. However, only eight samples were found with more than 109 copy numbers of the bacterium gene per nanogram of DNA. These samples were collected from orchards located in the counties of Jiaojiang (2), Wenling (1), and Yuhuang (3) in 2014 and Wenling (2) in 2015. Although D. citri carrying bacteria were found in orchards in all counties, some D. citri samples lacked bacteria (Table 1).
Figure 2

The detected amount of Candidatus Liberibacter asiaticus bacterium DNA by qPCR.
Proportion of D. citri carrying the Ca. L. asiaticus bacterium over a six-year period
Among the 1037 samples, the proportion of D. citri carrying Ca. L. asiaticus decreased and finally stabilized over time. In 2014, D. citri were found at 220 sites and, D. citri were found to be carrying the bacterium in 92 sites accounting for 41.8% of these sites. In 2015, D. citri were found at 82 sites and D. citri were found to be carrying the bacterium in 27 sites accounting for 32.9% these sites. By 2016, 2017, 2018, and 2019, D. citri were found at 114, 144, 130, and 347 sites but D. citri were only found to be carrying the bacterium at 30.7% (35), 28.5% (41), 26.2% (34) and 25.9% (90) of these sites, respectively (Figure 3, Table 1).
Figure 3

Proportion of Diaphorina citri carrying the pathogen Candidatus Liberibacter asiaticus between 2014 and 2019.
Changes in the proportion of D. citri carrying the bacterium throughout the year
Analysis of D. citri collected from a diseased orchards in Yueqing revealed that more than 30% of D. citri were carrying Ca. L. asiaticus throughout the year (Figure 4B). The proportion of D. citri carrying Ca. L. asiaticus gradually decreased from January to March and was stable and relatively low from May–September, then gradually increased and peaked in December (Figure 4B). The content of Ca. L. asiaticus in the citrus leaves was greatest in December. The content of Ca. L. asiaticus in the citrus leaves was relatively low in the fall and spring (close to 30% in May, June, September, and March). In spring and summer (February, April, May, June, and August), the bacterial content of citrus leaves was lowest, but reaching a high peak in December (Figure 4A).
Figure 4

Proportion of. Monthly changes in Candidatus Liberibacter asiaticus bacterial content in citrus leaves over the course of a year (A), and monthly changes in proportion of Diaphorina citri carrying the Candidatus Liberibacter asiaticus bacterium over the course of a year (B).
Relationship between the proportion of diseased plants and the proportion of D. citri carrying the bacterium
In total, 6600 Citrus. unshiu plants were investigated in 22 different orchards located in Huangyan, Yuhuan, Wenling, and Yueqing (Table 2). Based on investigations of 300 trees at each location, the proportion of diseased trees ranged from 0–98.5% (Table 2). Two hundred insects were collected at each location and were tested by RT-qPCR to determine the presence or absence of the bacterium. The proportion of diseased trees and the proportion of D. citri carrying the bacterium showed a significant positive correlation, and the number of plants showing symptoms of HLB increased as the proportion of D. citri carrying the bacterium increased (R2 = 0.93, P<0.01, Figure 5).
Figure 5

Correlation between the proportion of citrus plants with symptoms of HLB and the proportion of Diaphorina citri carrying the bacterium Candidatus Liberibacter asiaticus.
The phyllosphere microbiomes differ between healthy and HLB citrus in April and December
A total of 1626061 and 913399 high-quality sequences for bacteria and fungi were obtained after quality control of the original data using high-throughput sequencing technology. There were 17,590-184,257 for bacterial sequences and 27286-80816 for fungal sequences of each sample. Inv_Simpson index and Chao1 were used to evaluate α diversity of phyllosphere microorganisms with different treatments. The bacterial α diversity and the fungal α diversity in healthy leaves were significantly higher than that in diseased leaves in spring. But in autumn, there was no significant difference in α diversity of microbial communities between healthy and diseased citrus leaves (Figure 6).
Figure 6

The α diversity indices of bacteria (A) and fungi (B) SBB, phyllosphere bacterial samples of spring disease leaves; SKB, phyllosphere bacterial samples of spring healthy leaves; ABB, phyllosphere bacterial samples of autumn disease leaves; AKB, phyllosphere bacterial samples of autumn healthy leaves; SBF, phyllosphere fungal samples of spring disease leaves; SKF, phyllosphere fungal samples of spring healthy leaves; ABF, phyllosphere fungal samples of autumn disease leaves; AKF, phyllosphere fungal samples of autumn healthy leaves. *P < 0.05, ***P < 0.001.
PERMANOVA and pCoA based on bray_cuits distance matrix were used to analyze phyllosphere microbial differences among different leaf group samples. The pCoA results showed that bacterial and fungal sampled in the phyllosphere healthy and diseased citrus leaves at the same time, could be completely separated (SBB and SKB, ABB and AKB). The phyllosphere bacterial and fungal samples in healthy and diseased citrus leaves at two time points were compared respectively, and there were also significant differences between SBB and ABB, and SKB and AKB groups (Figure 7). The results of dissimilarity analysis also showed that there was a significant difference in the phyllosphere microorganisms between healthy and diseased citrus leaves sampled in the same time and between healthy and diseased citrus leaves in different seasons (Table S1).
Figure 7

The pCoA of bacteria (A) and fungi (B) based on bray_cuits distance. SBB, phyllosphere bacterial samples of spring disease leaves; SKB, phyllosphere bacterial samples of spring healthy leaves; ABB, phyllosphere bacterial samples of autumn disease leaves; AKB, phyllosphere bacterial samples of autumn healthy leaves; SBF, phyllosphere fungal samples of spring disease leaves; SKF, phyllosphere fungal samples of spring healthy leaves; ABF, phyllosphere fungal samples of autumn disease leaves; AKF, phyllosphere fungal samples of autumn healthy leaves.
The changes in bacteria and fungi OTUs by HLB pathogen invasion
In order to further study the phyllosphere microbial population structure of healthy and diseased leaf samples, the OTUs that were common and unique among these groups were analyzed and were plotted as a Venn plot (Figure 8). A total of 702 bacterial OTUs and 896 fungal OTUs were obtained. According to the results of Venn diagram, 124 (bacteria) and 109 (fungi) common OTUs were found in the phyllosphere samples of different treatments (Figure 8A). There were 269 common bacterial OTUs found in ABB group and AKB group, while 67 and 93 unique OTUs were found respectively in the two groups. And 206 common bacterial OTUs were found in SBB group and SKB group, while 65 and 193 unique OTUs were found in the two groups respectively. Besides, there were 163 and 515 common fungal OTUs found between ABF and AKF, SBF and SKF group (Figure 8B). 27 and 85 unique OTUs were found in ABF and AKF group, while 176 and 78 unique OTUs were found in SBB and SKB group, respectively.
Figure 8

The analysis of united and shared OTU of bacteria (A) and fungi (B). SBB, phyllosphere bacterial samples of spring disease leaves; SKB, phyllosphere bacterial samples of spring healthy leaves; ABB, phyllosphere bacterial samples of autumn disease leaves; AKB, phyllosphere bacterial samples of autumn healthy leaves; SBF, phyllosphere fungal samples of spring disease leaves; SKF, phyllosphere fungal samples of spring healthy leaves; ABF, phyllosphere fungal samples of autumn disease leaves; AKF, phyllosphere fungal samples of autumn healthy leaves.
Discussion
Citrus HLB has become the most important quarantine disease in citrus-producing areas all over the world (
Ca. L. asiaticus has a long incubation period, therefore, infected citrus plants do not show symptoms of HLB during the early stages. In order to distinguish diseased plants from healthy plants, the RT-qPCR method is usually used to detect whether Ca. L. asiaticus bacteria are present (
The dynamic of insect population is closely related to the growth rhythm and desirable food intake of insects, as well as the nutritional quality of host plants (Wallner, 1987). In addition, the phenological characteristics of host plants will also affect the growth of insects, leading to genetic variation among insect individuals and genetic differentiation among insect populations (
We found that the spread of HLB in Zhejiang Province was limited from 2014 to 2019. In 2014, D. citri-carrying bacteria were found at 41.8% of sites. By 2015, the level had dropped to 32.9% and by 2019 the level had dropped even further to 25.9%. This phenomenon may be related to the removal of diseased plants to control HLB. D. citri has a poor ability to fly long distances (Sakamaki, 2005). Long-range flight is made up of multiple short-range flights and relies on short-range wind diffusion. As a result, citrus HLB epidemics are dependent on sources of the pathogens and movement of the insect vectors. The removal of diseased plants therefore has a significant effect on controlling the spread of HLB (
Based on our observations, we showed a significant relationship between the plant infection rate and the proportion of D. citri carrying the bacterium (Figure 5). Our analysis showed that high levels of HLB disease in orchards correlate with high frequencies of D. citri-carrying bacteria.
Controlling D. citri is the premise and foundation for preventing citrus HLB (Manjunath et al., 2008). At present, disease control strategies mainly involve chemical, physical, or biological methods of control. D. citri has a strong reproductive ability. Although chemical control has an obvious control effect on these insects (
Our analysis showed that there were significant differences among different healthy citrus leaves and HLB diseased leaves in April and December (Figure 7). The finding was consistent with Li et al. (2022), which also reported the changes of microbe community of citrus phyllosphere due to the invasion of fungal pathogen Diaporthe citri. HLB has been found to cause decreased relative abundance and/or expression activity of rhizoplane-enriched taxonomic and functional properties, hence collectively resulting in impaired plant host-microbiome interactions (Zhang et al., 2017). Our data showed that the effect of HLB may also apply on phyllosphere. It indicated that, in the early stage of citrus HLB, diversity of phyllosphere microorganisms is not only affected by the disease, but also regulated by seasonal factors. In spring, phyllosphere microorganisms showed a reverse trend of changes at bacteria and fungi in response to pathogenic invasion. The Venn results indicated that the OTUs number of diseased phyllosphere bacteria taxa were lower than Apirl citrus, but higher in December leaves phyllosphere fungal samples in both diseased and healthy leaves (Figure 8). The number of bacteria decreases, and fungi increases in the presence of pathogenic bacteria, which indicates that microbial communities exhibit ubiquitous taxa with special functions selected during pathogenic bacteria invasion.
Conclusions
Through the long-term observation of citrus HLB, we conclude that there is a significant positive correlation between the level of citrus HLB in an orchard and proportion of Ca. L. asiaticus-carrying D. citri. The outbreak and spread of HLB in Zhejiang Province are declining. The number of bacteria in citrus leaves and the rate of D. citri carrying bacterium varies with seasonal factor. The phyllosphere bacterial and fungal communities were significantly different between healthy and disease phyllosphere in April and December. Pathogenic invasions change the citrus phyllosphere microbial community structure.
Funding
This study is funded by The National Key R & D Program of China (2021YFD1400800) and Key R & D Program of Hunan Province, China (2022NK2052).
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.
Statements
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/Supplementary Material.
Author contributions
YM, EW, ZZ, and YH planted the experiment. YM, EW, MZ, and ZZ carry on the experiment. YW, LD, H-eZ, TT, WX, LL, XF, and LY analysis data. LY, LL, and YH write the manuscript. All authors contributed to the article and approved the submitted version.
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2022.964193/full#supplementary-material
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Summary
Keywords
citrus huanglongbing, Candidatus Liberibacter asiaticus, Diaphorina citri, phyllosphere microbiome, pathogen detection and monitoring
Citation
Hu Y, Meng Y, Yao L, Wang E, Tang T, Wang Y, Dai L, Zhao M, Zhang H, Fan X, Luo L, Xiang W and Zhang Z (2022) Citrus Huanglongbing correlated with incidence of Diaphorina citri carrying Candidatus Liberibacter asiaticus and citrus phyllosphere microbiome. Front. Plant Sci. 13:964193. doi: 10.3389/fpls.2022.964193
Received
08 June 2022
Accepted
05 October 2022
Published
18 November 2022
Volume
13 - 2022
Edited by
Mengcen Wang, Zhejiang University, China
Reviewed by
Shimin Fu, Southwest University (CAAS), China; Ben Niu, Northeast Forestry University, China
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Copyright
© 2022 Hu, Meng, Yao, Wang, Tang, Wang, Dai, Zhao, Zhang, Fan, Luo, Xiang and Zhang.
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: Yang Hu, yang.hu@bioinfoclouds.com; Zhuo Zhang, lionkingno.1@163.com
†These authors have contributed equally to this work and share first authorship
This article was submitted to Plant Symbiotic Interactions, a section of the journal Frontiers in Plant Science
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