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Article

Risk Assessment of Bovine Major Histocompatibility Complex Class II DRB3 Alleles for Perinatal Transmission of Bovine Leukemia Virus

by
Liushiqi Borjigin
1,2,
Chieh-Wen Lo
3,4,
Lanlan Bai
1,3,
Rania Hamada
3,5,
Hirotaka Sato
1,2,
Shuji Yoneyama
6,
Anna Yasui
7,
Sohei Yasuda
7,
Risa Yamanaka
7,
Munehito Mimura
7,
Michihito Inokuma
8,
Yasuo Shinozaki
9,
Naoko Tanaka
9,
Shin-Nosuke Takeshima
10 and
Yoko Aida
1,2,4,*
1
Viral Infectious Diseases Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
2
Baton Zone Program, Nakamura Laboratory, RIKEN Cluster for Science, Technology and Innovation Hub, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
3
Photonics Control Technology Team, RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
4
Laboratory of Global Infectious Diseases Control Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
5
Department of Animal Medicine, Faculty of Veterinary Medicine, South Valley University, Qena 83523, Egypt
6
Kenou Livestock Hygiene Service Center, Utsunomiya, Tochigi 321-0905, Japan
7
Kumagaya Livestock Hygiene Service Center, Kumagaya, Saitama 360-0813, Japan
8
Chuo Livestock Hygiene Service Center, Chiba 262-0011, Japan
9
Nanbu Livestock Hygiene Service Center, Kamogawa, Chiba 296-0033, Japan
10
Department of Food and Nutrition, Jumonji University, Niiza, Saitama 352-8510, Japan
*
Author to whom correspondence should be addressed.
Pathogens 2021, 10(5), 502; https://doi.org/10.3390/pathogens10050502
Submission received: 27 March 2021 / Revised: 15 April 2021 / Accepted: 20 April 2021 / Published: 22 April 2021
(This article belongs to the Collection Bovine Leukemia Virus Infection)
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Versions Notes

Abstract

:
Perinatal transmission plays a critical role in the spread of bovine leukemia virus (BLV) infection in cattle herds. In the Holstein breed, we previously identified BLV resistant and susceptible bovine leukocyte antigen (BoLA)-DRB3 alleles, including BoLA-DRB3*009:02 and *014:01:01 with a low BLV proviral load (PVL), and *015:01 and *012:01 with a high PVL. Here, we evaluated the perinatal BLV transmission risk in dams with different BoLA-DRB3 alleles. BoLA-DRB3 alleles of 120 dam-calf pairs from five dairy farms in Japan were identified; their PVL was quantified using the BLV-Coordination of Common Motifs (CoCoMo)-qPCR-2 assay. Ninety-six dams were BLV-positive, and 29 gave birth to BLV-infected calves. Perinatal transmission frequency was 19% in dams with resistant alleles suppressed to a low PVL level, and 38% and 25% in dams with susceptible and neutral alleles that maintained high PVL levels, respectively. Notably, all calves with resistant alleles were BLV free, whereas 30% of calves with susceptible genes were infected. Thus, vertical transmission risk was extremely lower for dams and calves with resistant alleles compared to those with susceptible alleles. Our results can inform the development of effective BLV eradication programs under field conditions by providing necessary data to allow for optimal selection of dams for breeding.

1. Introduction

Bovine leukemia virus (BLV) belongs to the family Retroviridae (genus Deltaretrovirus) together with human T-leukemia virus types 1 and 2 (HTLV-1 and -2), and causes enzootic bovine leucosis (EBL), the most common neoplastic disease affecting cattle worldwide [1]. Approximately 70% of BLV-infected cattle are asymptomatic, a stage designated as aleukemic, whereas approximately 25%–30% and 1%–5% of BLV-infected cattle develop persistent lymphocytosis and B cell lymphoma, respectively, after several years of latency [1].
In 2012, 51 countries or territories regularly reported the presence of EBL infections to The World Organisation for Animal Health (OIE) [2]. Currently, after decades of systematic control and eradication approaches, most European countries and Oceania have eradicated BLV from their dairy herds [2,3]. However, in several countries where compulsory eradication or control strategies have not been implemented, the spread of BLV infection continues owing to the absence of effective treatments or vaccines. Recently, high BLV prevalence has been reported in the United States (US), China, Canada, Japan, etc. [4,5,6,7,8]. Thus, BLV infection commonly affects the cattle industry worldwide and causes considerable economic loss owing to premature death of animals by lymphomas [9], carcass condemnation at slaughter [10], reduction in milk yield [6,11,12], and decreased immunity [13], as well as effects on reproductive capacities [14] and longevity [6,12]. The economic loss due to reduced milk production of BLV-infected cattle alone was estimated at 525 million USD annually in the US dairy industry [11]. Additionally, it was estimated that the annual mean partial net revenue from BLV-infected dairy cattle was 635 CAD less than that from BLV-free cattle [15].
BLV is transmitted primarily through the transfer of infected lymphocytes and via horizontal and vertical routes [1]. Horizontal transmission of BLV occurs primarily by close contact with infected animals or via blood-sucking insects, such as tabanids and stable flies, [16] or via iatrogenic procedures, including the repeated use of individual needles, syringes, rectal palpation gloves, and dehorners [17,18]. Meanwhile, vertical transmission includes perinatal and postnatal infection. Vertical postnatal infection from cattle to calves occurs via colostrum and milk [19,20]; the infectious capacity of cells in milk from BLV-infected dams is currently estimated by ex vivo visualization of BLV infection [21]. Conversely, perinatal infection may occur in utero or in the birth canal [19,20]. Previously, Mekata et al. [19] investigated the frequency of perinatal BLV infection in field conditions in Japan and observed that 10 out of 129 (7.7%) calves born from BLV-infected cows were infected in the birth canal and 14 (10.8%) were infected in utero. Thus, perinatal transmission of BLV plays a critical role in the spread of BLV infection in cattle herds.
The BLV proviral load (PVL), which represents the amount of retroviral genome integrated into the host genome, strongly correlates with infection capacity, as assessed by syncytium formation [22,23], and with disease progression [5,22]. Cattle with high PVLs are considered major transmission sources [5,19,24,25] and risk factors for progression of EBL [5,22,26]. Additionally, studies on BLV-associated host factors have identified polymorphisms within the bovine major histocompatibility complex (MHC) (BoLA) [26,27,28]. BoLA is a highly polymorphic gene set that plays a central role in antigen recognition of pathogens and is, thus, used extensively as a marker of disease and immunological traits in cattle. Previously, we identified BoLA class II DRB3 resistant alleles associated with low BLV PVL and susceptible alleles associated with a high PVL in Japanese black cattle and Holstein cattle [26,28,29]. However, whether BoLA-DRB3 polymorphism is a risk factor for vertical postnatal infection of BLV remains unclear.
The previous association study demonstrated that, in Japanese Holstein cattle, BoLA-DRB3*002:01, *009:02, and *014:01:01 represent resistant alleles, while BoLA-DRB3*012:01 and *015:01 were identified as susceptible alleles for BLV PVL [28]. Therefore, in the current study we investigated the prevalence and PVL of BLV in dams and their calves to evaluate the perinatal BLV infection risk for cattle carrying these BoLA-DRB3 alleles.

2. Results

2.1. Risk of Perinatal BLV Transmission in Dams with Different BoLA-DRB3 Genotypes

From January 2017 to March 2020, 120 calves were born at five dairy farms in Japan and immediately separated from their mothers and placed into individual calf hatches. Thereafter, they were given heat sterilized colostrum or commercial milk replacer to prevent horizontal and vertical postnatal BLV infection. We collected peripheral blood samples from the 120 dam-calve pairs (Table 1), and subsequently genotyped them to determine BoLA-DRB3 allele polymorphisms (Table 2). We identified 14 of the previously reported BoLA-DRB3 alleles (the Immuno Polymorphism Database (IPD)-MHC database (https://www.ebi.ac.uk/ipd/mhc/group/BoLA/ accessed on 15 April 2021)), of which two were resistant alleles, (BoLA-DRB3*009:02 and *014:01:01), and two were susceptible alleles (BoLA-DRB3*012:01 and *015:01). We then compared the frequency of BoLA-DRB3 genotypes including resistance and susceptible alleles. Of the 120 dams, 17 (14.2%) had resistance and neutral allele genotypes, 5 (4.2%) had genotypes of resistance and susceptible allele genotypes, 6 (5.0%) had susceptible/susceptible allele genotypes, 49 (40.8%) susceptible/neutral allele genotypes, and 43 (35.8%) had neutral/neutral allele genotypes, respectively (Table 2 and Table 3). In particular, among the 22 dams with resistance alleles, 4 (3.3%), 13 (10.8%), and 5 (4.2%) had BoLA-DRB3*009:02/neutral alleles, BoLA-DRB3*014:01:01/neutral alleles, and BoLA-DRB3*014:01:01/susceptible alleles, respectively (Table 2). Further, among the 55 dams with susceptible alleles, 14 (11.7%), 35 (29.2%), 3 (2.5%), and 3 (2.5%) had BoLA-DRB3*012:01/neutral, BoLA-DRB3*015:01/neutral, BoLA-DRB3*012:01/015:01, and BoLA-DRB3*015:01/015:01, respectively (Table 2). Cumulatively, these results show that dams with susceptible and neutral alleles accounted for a large proportion.
Thereafter, to determine the BLV infection status of dams, we performed quantitative real-time polymerase chain reaction using Coordination of Common Motifs (CoCoMo-qPCR-2) to calculate the BLV PVL, and enzyme-linked immunosorbent assays (ELISAs) were used to estimate the anti-BLV antibody titer (Table 2). Ninety-six (80%) of the 120 dams were positive for BLV PVL and anti-BLV antibodies (Table 2 and Table 3). In contrast, we detected BLV PVL only using CoCoMo-qPCR-2 to determine BLV infection in calves. Twenty-nine (30%) of the 96 BLV-positive dams gave birth to calves that were positive for BLV PVL (Table 2 and Table 3). Notably, 62% of the 29 dams gave birth to BLV-positive calves that carried susceptible/susceptible genotypes (10.3%) and susceptible/neutral genotype (51.7%; Table 3). Thus, the population of dams that gave birth to BLV-positive calves carrying the susceptible alleles was higher than the population of total dams carrying the susceptible/susceptible (5.0%) and susceptible/neutral genotypes (40.8%) and the population of BLV-positive dams carrying the susceptible/susceptible (5.0%) and susceptible/neutral genotypes (49.0%). In contrast, the population of dams that gave birth to BLV-positive calves with resistant/neutral genotypes (3.4%) and resistant/susceptible genotypes (6.9%) was lower than the population of all dams (18.4% = 14.2% + 4.2%) and BLV-positive dams (16.7% = 11.5% + 5.2%) carrying the same genotypes. Notably, three dams gave birth to BLV-positive calves carrying the BoLA-DRB3*014:01:01 alleles (BoLA-DRB3*014:01:01/neutral and BoLA-DRB3*014:01:01/*015:01), but not to those carrying the BoLA-DRB3*009:02 alleles (Table 2). Figure 1 shows the frequency of BLV-positive dams or BLV-negative dams in five distinct genotypes. The proportion of BLV-positive dams with resistant/neutral genotypes (9.1%) was markedly lower than with the other four genotypes, whereas the frequency of BLV-positive dams with susceptible/susceptible genotypes (60%) were the highest compared to that of BLV-positive dams with the other four genotypes. These results show that dams with resistant alleles have a lower risk of vertical BLV transmission than those with susceptible alleles.

2.2. Distribution of PVLs in Dams with Different BoLA-DRB3 Genotypes

The maternal viral load has been shown to significantly correlate with the frequency of perinatal infection [19]. Therefore, we further analyzed the distribution of PVLs among dams carrying the five genotypes (Figure 2). A total of 96 dams were positive for BLV, with PVLs ranging from 43 to 83,036 copies per 105 cells, as determined by CoCoMo-qPCR-2 (Table 2 and Figure 2). Notably, 11 dams carrying resistant/neutral genotypes had the lowest PVL, ranging from 43 to 12,544 copies per 105 cells (mean 1589 copies), among the five genotype groups. In contrast, five dams carrying susceptible/susceptible genotypes showed the highest PVL, ranging from 12,157 to 52,072 copies per 105 cells (mean 30,919 copies), among the five genotype groups. In addition, PVLs of 43 dams carrying susceptible/neutral genotypes ranged from 205 to 83,036 copies/105 cells (mean 29,921 copies per 105 cells) and those of 32 dams carrying neutral/neutral genotypes ranged from 66 to 78,079 copies/105 cells (mean 23,138 copies per 105 cells); these dams (p = 0.0015 for susceptible/neutral genotypes and p = 0.0366 neutral/neutral genotypes genotypes) had significantly higher PVLs than those carrying resistant/neutral genotypes. Thus, our results showed that the PVLs in dams carrying resistant alleles were lower than those in dams carrying susceptible and neutral alleles.

2.3. Frequencies of BLV Provirus in Calves with Different BoLA-DRB3 Genotypes

A total of 120 newborn calves were assessed for BLV infection and BLV PVL using CoCoMo-qPCR-2. Twenty-nine out of 96 BLV-positive dams gave birth to calves that were positive for BLV PVL (Table 3). In contrast, all 24 BLV-negative dams delivered calves that were negative for BLV PVL (Table 2), suggesting successful avoidance of postnatal vertical infection. Furthermore, genotyping was performed to determine the polymorphisms of BoLA-DRB3 alleles in these calves resulting in the identification of 14 of the previously reported alleles of the BoLA-DRB3 locus (Table 4). Among 29 BLV-positive calves, 5 (17.2%) had susceptible/susceptible genotypes, 11 (37.9%) had susceptible/neutral genotypes, and 13 (44.8%) had neutral/neutral genotypes (Figure 3A). Notably, all calves with three genotypes including resistant alleles were BLV free (Figure 3A). Conversely, among the 91 BLV-negative calves, 2 calves (2.2%), 6 calves (6.6%), 6 calves (6.6%), 7 calves (7.7%), 30 calves (33.0%), and 40 calves (44.0%) had resistant/resistant, resistant/neutral, resistant/susceptible, susceptible/susceptible, susceptible/neutral, and neutral/neutral genotypes, respectively (Figure 3A). Similarly, Figure 3B shows the frequency of BLV-positive or BLV-negative calves in the five distinct genotypes. Notably, no BLV-positive calves contained one of the three genotypes including resistant alleles. In contrast, the frequencies of BLV-positive calves with susceptible/susceptible, susceptible/neutral, or neutral/neutral genotypes ranged from 24.5% to 41.7%. Although PVL levels did not differ significantly between the 16 calves with susceptible alleles and 13 calves with only neutral alleles (p = 0.126), it tended to be higher in calves with susceptible/neutral genotype than in those with neutral/neutral genotype (Figure 3C). These results show that cattle with susceptible alleles are at a high risk for vertical transmission due to their genetic preference for maintaining a high level of PVL.

2.4. Differential Risk of BLV Vertical Transmission in Dams and Calves with Different BoLA-DRB3 Genotypes

We compared the effect of BoLA-DRB3 alleles on BLV vertical transmission in dams and calves. As summarized in Figure 4A–C, the risk of BLV vertical transmission was low in dams with two genotypes (resistant/susceptible and resistant/neutral) possessing at least one resistant allele (19%), moderate in dams with genotype (neutral/neutral) possessing only one neutral allele (25%), and high in dams with two genotypes (susceptible/neutral and susceptible/susceptible) possessing susceptible and neutral or only susceptible alleles (38%). Similarly, the risk of vertical BLV transmission from infected dams to their calves was: 0% for calves with three genotypes (resistant/resistant, resistant/susceptible and resistant/neutral) possessing at least one resistant allele; 25%, for calves with neutral/neutral genotype possessing only a neutral allele; and 30% for calves with susceptible/neutral and susceptible/susceptible genotypes possessing susceptible and neutral or only susceptible alleles (Figure 4D–F).

3. Discussion

This is the first study to demonstrate that cattle with different BoLA-DRB3 alleles have different risks of vertical transmission of BLV. In particular, we found that the risk of vertical transmission for dams and calves with resistant alleles was much lower than that for dams and calves with susceptible alleles. In addition, dams with susceptible alleles were at a higher risk for vertical transmission because of their genetic characteristics that maintain PVL at a high level, whereas PVL was maintained at a low level in most dams with resistant alleles, thereby reducing the risk of vertical BLV transmission.
Here, we successfully quantified the PVL of 120 dam-calve pairs from five dairy farms from January 2017 to March 2020 and showed the distribution of PVLs in dams and calves with different BoLA-DRB3 genotypes. PVL was maintained at a low level in most dams with resistant alleles, except for one dam with DRB3*014:01:01/*015:01 (33,529 copies per 105 cells) that consistently had a PVL above 10,000 copies per 105 cells. Meanwhile, the two dams with DRB3*009:02 maintained a PVL lower than 200 copies per 105 cells. These results show that DRB3*009:02 is the strongest resistant allele for BLV, while DRB3*014:01:01 is marginally weaker than DRB3*009:02. Previously, it was reported that BLV-infected cattle carrying the DRB3*009:02 allele is not a source of infection for BLV-free cattle [24]. Similarly, we demonstrated that cattle with resistant alleles do no undergo perinatal BLV transmission. This was first evidenced by the observation that 3.4% and 6.9% of the dams delivered BLV-positive calves with resistant/neutral and resistant/susceptible genotypes, respectively, which was significantly lower than the frequencies of dams that delivered BLV-positive calves carrying susceptible/susceptible (10.3%), susceptible/neutral (51.7%), and neutral/neutral (27.6%) genotypes. Second, only 9.1% of dams with resistant/neutral genotypes gave birth to BLV-positive calves; this was markedly lower than the proportion birthed by dams with the other four genotypes. Third, all calves delivered from BLV-infected dams with a genotype including resistant alleles, were BLV free. Conversely, dams with susceptible alleles had high PVLs, representing a major perinatal BLV infectious factor. In addition, frequencies among BLV-positive calves with three distinct genotypes, including susceptible/susceptible, susceptible/neutral, or neutral/neutral, alleles ranged from 24.5% to 41.7%, which were higher than that of calves with genotypes that include resistant alleles. PVL in calves carrying susceptible/neutral alleles tended to be higher than that of calves with neutral/neutral alleles. Previously, we reported that BLV proviruses were detected in the nasal secretions, saliva samples, and milk of individuals with high PVL in their blood [21,25,30]. Thus, our results demonstrate that cattle with susceptible alleles represent the most critical infectious agents in both horizontal and perinatal BLV transmission.
To investigate perinatal BLV transmission, we successfully tested the BLV for 120 dams and their calves within one month of delivery at five dairy farms from January 2017 to March 2020. To avoid postnatal vertical infection, all newborn calves were immediately separated from their dams and placed into individual calf hatches, and subsequently fed heat sterilized colostrum or commercial milk replacer during the study period. All 24 BLV-negative dams delivered calves that were negative for BLV PVL, indicating that postnatal infection can be avoided by implementing the above-mentioned countermeasures. In addition, the time from BLV infection to seroconversion is reported to be approximately 1–2 months [31]. Hence, we also performed testing for BLV infection within 1 month after delivery, as this is the optimal time to confirm perinatal infection.
Of the total 120 dams, the provirus was detected in 96 (80%). No provirus was detected in the 24 calves delivered from BLV free dams, indicating that no horizontal or postnatal vertical infections occurred prior to sampling. The perinatal infection rate in BLV-infected dams was confirmed to be 30%, which was higher than previously reported (18.6% in one farm in Japan) [19]. This may differ from maternal PVL or genetic characteristics at different farms or regions. The correlation between maternal PVL and the frequency of perinatal infection was previously reported [19]. We set a PVL of 10,000 copies/105 cells as the cutoff for classification as high or low [26,28]. In this study, with the exception of two cases, it was clearly shown that dams with PVL > 6000 copies per 105 cells were more susceptible to perinatal transmission to their calves. Twenty-seven of the 64 (42%) dams with PVL > 6000 per 105 cells, while only two of the 32 (6%) dams with PVL < 6000 per 105 cells, demonstrated perinatal infection. This agrees with data from previous studies that demonstrated > 40% of newborn calves were born to dams with high BLV PVL [19]. Although no correlation was found between PVL in dams and calves (data not shown), PVL in newborn calves with susceptible alleles tended to be higher than that in calves with neutral alleles. Thus, calves infected in the first week of life could play an active role in early propagation of BLV to susceptible cattle, as their PVL is increased during the first 12 months and is maintained for years [30]. Notably, all calves with resistant alleles were BLV free. These results suggest that the genetic characteristics of calves are involved in the increases in PVL after their birth and that culling them earlier is useful for effective BLV eradication.
As a result of identifying the distribution of BoLA-DRB3 alleles in all 120 dams, 17 (14.2%), five (4.2%), six (5.0%), 49 (40.8%), and 43 (35.8%) dams had resistant/neutral, resistant/susceptible, susceptible/susceptible, susceptible/neutral, neutral/neutral, and genotypes, respectively. These results showed that the dams with susceptible alleles were the most prevalent. Conversely, the 96 BLV-infected dams comprised 29 dams that delivered BLV-positive calves and 67 dams that delivered BLV-negative calves. The proportion of dams with resistant/neutral genotypes was 17/120 (14.2%); 10/67 (14.9%) dams delivered BLV-negative calves and 1/29 (3.4%) dams delivered BLV-positive calves. Furthermore, the proportion of dams with susceptible/susceptible and susceptible/neutral genotypes was 55/120 (45.8%) dams; 30 (44.8%) dams delivered BLV-negative calves and 18 (62.1%) dams delivered BLV-positive calves. Moreover, the proportion of dams with neutral/neutral genotypes were 43 (35.8%) of all 120 dams, 24 (35.8%) dams delivered BLV-negative calves, and eight (27.6%) delivered BLV-positive calves. Notably, although the proportion of dams with susceptible/susceptible, susceptible/neutral, and neutral/neutral genotypes are similar among all 120 dams and dams that delivered BLV-negative calves, the proportion of dams with resistant alleles and susceptible alleles that delivered BLV-positive calves were lower and higher than that in all 120 dams and those that delivered BLV-negative calves, respectively. These results indicate that dams with resistant alleles have a lower risk of perinatal BLV transmission than dams with susceptible alleles. In addition, the frequency of perinatal BLV transmission was low (9%, 1/11) in dams with resistant alleles, moderate (25%, 8/32) in dams with neutral alleles, and high (38%, 18/48) in dams with susceptible alleles. This frequency in dams with resistant alleles was lower than that in dams with susceptible alleles.
The “test and segregate” or “test and cull” approaches have been considered most effective for BLV infection control or eradication [2,19]. However, the “test and cull” approach is applicable in farms with low or moderate transmission risk within a herd [2,15,32,33]. The “test and segregate” approach is inappropriate for farms with a smaller area where it is difficult to separate animals, and it may inconvenience management, milking work, etc. Furthermore, this approach makes it impossible to prevent vertical perinatal infection. Our findings clearly indicate that BLV-infected cattle with susceptible alleles represent the primary factor in vertical and horizontal transmission within herds. Therefore, selective breeding of cattle with BLV resistant BoLA-DRB3 alleles, as well as the preferential culling of cattle with susceptible BoLA-DRB3 alleles could reduce the risk of both horizontal and vertical transmission, and is useful for the development of an economically feasible and effective BLV eradication program under field conditions.

4. Materials and Methods

4.1. Clinical Animals

From January 2017 to March 2020, we collected peripheral blood from 120 dams and their calves (<1 month in age) at five dairy farms (A, B, C, D, and E) in Chiba, Saitama and Tochigi prefectures in Japan (Table 1). The A, B, C, D, and E farms had approximately 93, 70, 53, 70, and 126 Holstein cattle, respectively. The 120 newborn calves were immediately separated from their mothers and placed into individual calf hatches and subsequently fed heat sterilized colostrum or commercial milk replacer to prevent horizontal and vertical postnatal BLV infection.

4.2. Ethics Approval

This study was approved by the Animal Ethical Committee and the Animal Care and Use Committee of RIKEN (approval numbers H29-2-104 and W2019-1-001, respectively).

4.3. Collection of Blood Samples, Extraction of Genomic DNA, and Separation of Serum or Plasma

Genomic DNA was extracted from ethylenediaminetetraacetic acid (EDTA)-treated peripheral blood samples using the Wizard Genomic DNA Purification Kit (Promega corporation, Madison, WI, USA), according to the manufacturer’s instructions. The quantity and quality of extracted DNA was measured based on the A260/280 ratio using a Nanodrop One Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). Serum or plasma were separated from whole blood or EDTA-treated blood samples, respectively.

4.4. Enzyme-Linked Immunosorbent Assay (ELISA) for Anti-Env gp51 Antibody

BLV-specific Env gp51 antibodies were measured from serum or plasma samples using a BLV-specific antibody detection ELISA kit (JNC, Tokyo, Japan), according to the manufacturer’s instructions.

4.5. Quantification of BLV PVL Using the BLV-CoCoMo-qPCR-2 Assay

BLV PVLs were quantified using BLV-CoCoMo-qPCR-2 (RIKEN Genesis, Kanagawa, Japan) with THUNDERBIRD Probe qPCR Mix (Toyobo, Tokyo, Japan), as described previously [22,34]. In brief, a 183 bp sequence of the BLV LTR gene was amplified using the degenerate primer set “CoCoMo-FRW and CoCoMo-REV” and detected with a 15 bp 6-carboxyfluorescein (FAM)-labeled LTR probe. As the internal control, the BoLA-DRA gene was amplified using the primer set “DRA-F and DRA-R”, and detected with the FAM-labeled DRA probe. Finally, the PVL was calculated using the following formula: (number of BLV LTR copies/number of BoLA-DRA copies) × 105 cells.

4.6. BoLA-DRB3 Genotyping

BoLA-DRB3 alleles were typed using the PCR-sequencing-based typing (SBT) method [35]. Briefly, we amplified exon 2 of BoLA-DRB3 with PCR using primers DRB3FRW and DRB3REV. Thereafter, the first PCR fragments were purified using an ExoSAP-IT PCR Product Purification Kit (USB Corp., Cleveland, OH, USA) and sequenced with the ABIPRISM BigDye Terminator Cycle Sequencing Ready Reaction Kit (Applied Biosystems, Foster City, CA, USA). Finally, sequence data were analyzed using Assign 400ATF ver. 1.0.2.41 software (Conexio Genomics, Fremantle, Australia).

4.7. Statistical Analysis

The Student’s t-test was used to determine the significance between the PVL of calves with susceptible and resistant alleles. Following analysis of variance, Tukey’s test was used to determine the significance in the PVL of dams with different alleles. The pairwise-prop-test was used to determine the significance in frequencies of perinatal BLV transmission from dams with different alleles, and in BLV prevalence of calves with different alleles. p < 0.05 was considered significant.

5. Conclusions

We have demonstrated that the risk of vertical transmission for dams and calves with resistant alleles was much lower than that for dams and calves with susceptible alleles. In addition, dams with susceptible alleles were found to maintain a high level of PVL, whereas PVL was maintained at a low level in most dams with resistant alleles. These results may contribute to the development of low-cost and high-efficiency BLV eradication strategies to reduce the BLV prevalence and the PVL via decreased selection of dams with susceptible alleles and high PVL, and increased selection of dams with resistant alleles and low PVL for breeding.

Author Contributions

Conceptualization, Y.A.; Sample collection, L.B. (Liushiqi Borjigin), S.Y., A.Y., Y.S. (Yasuda Sohei), R.Y., M.M., M.I.,Y.S. (Yasuo Shinozaki), N.T., L.B. (Lanlan Bai), S.-N.T., and Y.A.; Methodology, L.B. (Liushiqi Borjigin), C.-W.L., L.B. (Lanlan Bai), R.H., S.-N.T. and Y.A.; Software, L.B. (Liushiqi Borjigin) and S.-N.T., Validation, L.B. (Liushiqi Borjigin), C.-W.L., L.B. (Lanlan Bai), S.-N.T. and Y.A.; Formal Analysis, L.B. (Liushiqi Borjigin), C.-W.L. and Y.A.; Investigation, L.B. (Liushiqi Borjigin), L.B. (Lanlan Bai), H.S. and Y.A.; Resources, Y.A.; Data Curation, L.B. (Lanlan Bai), H.S. and Y.A.; Writing—Original Draft Preparation, L.B. (Liushiqi Borjigin) and Y.A.; Writing—Review and Editing, L.B. (Liushiqi Borjigin), C.-W.L., L.B. (Lanlan Bai), H.S. and Y.A.; Visualization, L.B. (Liushiqi Borjigin), and Y.A.; Supervision, Y.A.; Project Administration, Y.A.; Funding Acquisition, Y.A. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by grants from the Projects of the NARO Bio-oriented Technology Research Advancement Institution (the special scheme project on regional developing strategy) (grant number 16817983).

Institutional Review Board Statement

This study was approved by the Animal Ethical Committee, and the Animal Care and Use RIKEN Animal Experiments Committee (approval numbers H29-2-104 and W2019-1-001).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors thank all farmers for providing blood samples, their help with blood sampling and the collection of epidemiological data. We also thank all members of the Virus Infectious Disease Field of RIKEN. We are grateful to the Support Unit, Biomaterial Analysis, RIKEN BSI Research Resources Center for helping with the sequence analysis.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Aida, Y.; Murakami, H.; Takahashi, M.; Takeshima, S.N. Mechanisms of pathogenesis induced by bovine leukemia virus as a model for human T-cell leukemia virus. Front. Microbiol. 2013, 4, 1–11. [Google Scholar] [CrossRef] [Green Version]
  2. Panel, E.; Health, A. Enzootic bovine leukosis EFSA Panel on Animal Health and Welfare (AHAW). EFSA J. 2015, 13, 4188. [Google Scholar]
  3. Gillet, N.; Florins, A.; Boxus, M.; Burteau, C.; Nigro, A.; Vandermeers, F.; Balon, H.; Bouzar, A.B.; Defoiche, J.; Burny, A.; et al. Mechanisms of leukemogenesis induced by bovine leukemia virus: Prospects for novel anti-retroviral therapies in human. Retrovirology 2007, 4, 1–32. [Google Scholar] [CrossRef] [Green Version]
  4. Murakami, K.; Kobayashi, S.; Konishi, M.; Kameyama, K.I.; Tsutsui, T. Nationwide survey of bovine leukemia virus infection among dairy and beef breeding cattle in Japan from 2009–2011. J. Vet. Med. Sci. 2013. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Ohno, A.; Takeshima, S.N.; Matsumoto, Y.; Aida, Y. Risk factors associated with increased bovine leukemia virus proviral load in infected cattle in Japan from 2012 to 2014. Virus Res. 2015, 210, 283–290. [Google Scholar] [CrossRef] [PubMed]
  6. Nekouei, O.; VanLeeuwen, J.; Stryhn, H.; Kelton, D.; Keefe, G. Lifetime effects of infection with bovine leukemia virus on longevity and milk production of dairy cows. Prev. Vet. Med. 2016, 133, 1–9. [Google Scholar] [CrossRef] [PubMed]
  7. Yang, Y.; Fan, W.; Mao, Y.; Yang, Z.; Lu, G.; Zhang, R.; Zhang, H.; Szeto, C.; Wang, C. Bovine leukemia virus infection in cattle of China: Association with reduced milk production and increased somatic cell score. J. Dairy Sci. 2016, 99, 3688–3697. [Google Scholar] [CrossRef] [Green Version]
  8. Ladronka, R.M.; Ainsworth, S.; Wilkins, M.J.; Norby, B.; Byrem, T.M.; Bartlett, P.C. Prevalence of Bovine Leukemia Virus Antibodies in US Dairy Cattle. Vet. Med. Int. 2018. [Google Scholar] [CrossRef] [Green Version]
  9. Rhodes, J.K.; Pelzer, K.D.; Johnson, Y.J. Economic implications of bovine leukemia virus infection in mid-Atlantic dairy herds. J. Am. Vet. Med. Assoc. 2003, 223, 346–352. [Google Scholar] [CrossRef]
  10. White, T.L.; Moore, D.A. Reasons for whole carcass condemnations of cattle in the United States and implications for producer education and veterinary intervention. J. Am. Vet. Med. Assoc. 2009, 235, 937–941. [Google Scholar] [CrossRef]
  11. Otta, S.L.; Johnson, R.; Wells, S.J. Association between bovine-leukosis virus seroprevalence and herd-level productivity on US dairy farms. Prev. Vet. Med. 2003, 61, 249–262. [Google Scholar] [CrossRef]
  12. Erskine, R.J.; Bartlett, P.C.; Byrem, T.M.; Render, C.L.; Febvay, C.; Houseman, J.T. Association between bovine leukemia virus, production, and population age in Michigan dairy herds. J. Dairy Sci. 2012, 95, 727–734. [Google Scholar] [CrossRef] [PubMed]
  13. Konnai, S.; Murata, S.; Ohashi, K. Immune exhaustion during chronic infections in cattle. J. Vet. Med. Sci. 2017, 79, 1–5. [Google Scholar] [CrossRef] [Green Version]
  14. VanLeeuwen, J.A.; Haddad, J.P.; Dohoo, I.R.; Keefe, G.P.; Tiwari, A.; Tremblay, R. Associations between reproductive performance and seropositivity for bovine leukemia virus, bovine viral-diarrhea virus, Mycobacterium avium subspecies paratuberculosis, and Neospora caninum in Canadian dairy cows. Prev. Vet. Med. 2010, 94, 54–64. [Google Scholar] [CrossRef] [PubMed]
  15. Kuczewski, A.; Hogeveen, H.; Orsel, K.; Wolf, R.; Thompson, J.; Spackman, E.; van der Meer, F. Economic evaluation of 4 bovine leukemia virus control strategies for Alberta dairy farms. J. Dairy Sci. 2019, 102, 2578–2592. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Kohara, J.; Takeuchi, M.; Hirano, Y.; Sakurai, Y.; Takahashi, T. Vector control efficacy of fly nets preventing bovine leukemia virus transmission. J. Vet. Med. Sci. 2018, 80, 1524–1527. [Google Scholar] [CrossRef] [Green Version]
  17. Kohara, J.; Konnai, S.; Onuma, M. Experimental transmission of Bovine leukemia virus in cattle via rectal palpation. Jpn. J. Vet. Res. 2006, 54, 25–30. [Google Scholar]
  18. Lassauzet, M.L.; Thurmond, M.C.; Johnson, W.O.; Stevens, F.; Picanso, J.P. Effect of brucellosis vaccination and dehorning on transmission of bovine leukemia virus in heifers on a California dairy. Can. J. Vet. Res. 1990, 54, 184. [Google Scholar]
  19. Mekata, H.; Sekiguchi, S.; Konnai, S.; Kirino, Y.; Honkawa, K.; Nonaka, N.; Horii, Y.; Norimine, J. Evaluation of the natural perinatal transmission of bovine leukaemia virus. Vet. Rec. 2015, 176, 254. [Google Scholar] [CrossRef]
  20. Ruiz, V.; Porta, N.G.; Lomónaco, M.; Trono, K.; Alvarez, I. Bovine Leukemia virus infection in neonatal calves. Risk factors and control measures. Front. Vet. Sci. 2018, 5, 267. [Google Scholar] [CrossRef] [Green Version]
  21. Watanuki, S.; Takeshima, S.N.; Borjigin, L.; Sato, H.; Bai, L.; Murakami, H.; Sato, R.; Ishizaki, H.; Matsumoto, Y.; Aida, Y. Visualizing bovine leukemia virus (BLV)-infected cells and measuring BLV proviral loads in the milk of BLV seropositive dams. Vet. Res. 2019, 50, 1–12. [Google Scholar] [CrossRef] [Green Version]
  22. Jimba, M.; Takeshima, S.N.; Matoba, K.; Endoh, D.; Aida, Y. BLV-CoCoMo-qPCR: Quantitation of bovine leukemia virus proviral load using the CoCoMo algorithm. Retrovirology 2010, 7, 1–19. [Google Scholar] [CrossRef] [Green Version]
  23. Sato, H.; Watanuki, S.; Murakami, H.; Sato, R.; Ishizaki, H.; Aida, Y. Development of a luminescence syncytium induction assay (LuSIA) for easily detecting and quantitatively measuring bovine leukemia virus infection. Arch. Virol. 2018, 163, 1519–1530. [Google Scholar] [CrossRef]
  24. Juliarena, M.A.; Barrios, C.N.; Ceriani, M.C.; Esteban, E.N. Hot topic: Bovine leukemia virus (BLV)-infected cows with low proviral load are not a source of infection for BLV-free cattle. J. Dairy Sci. 2016, 99, 4586–4589. [Google Scholar] [CrossRef] [Green Version]
  25. Yuan, Y.; Kitamura-Muramatsu, Y.; Saito, S.; Ishizaki, H.; Nakano, M.; Haga, S.; Matoba, K.; Ohno, A.; Murakami, H.; Takeshima, S.N.; et al. Detection of the BLV provirus from nasal secretion and saliva samples using BLV-CoCoMo-qPCR-2: Comparison with blood samples from the same cattle. Virus Res. 2015, 210, 248–254. [Google Scholar] [CrossRef] [PubMed]
  26. Lo, C.W.; Borjigin, L.; Saito, S.; Fukunaga, K.; Saitou, E.; Okazaki, K.; Mizutani, T.; Satoshi Wada, S.T.; Aida, Y. BoLA-DRB3 Polymorphism is Associated with Differential Susceptibility to Bovine Leukemia. Viruses 2020, 12, 352. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Takeshima, S.; Aida, Y. Structure, function and disease susceptibility of the bovine major histocompatibility complex. Anim. Sci. J. 2006, 77, 138–150. [Google Scholar] [CrossRef]
  28. Takeshima, S.N.; Ohno, A.; Aida, Y. Bovine leukemia virus proviral load is more strongly associated with bovine major histocompatibility complex class II DRB3 polymorphism than with DQA1 polymorphism in Holstein cow in Japan. Retrovirology 2019, 16, 1–6. [Google Scholar] [CrossRef] [PubMed]
  29. Miyasaka, T.; Takeshima, S.N.; Jimba, M.; Matsumoto, Y.; Kobayashi, N.; Matsuhashi, T.; Sentsui, H.; Aida, Y. Identification of bovine leukocyte antigen class II haplotypes associated with variations in bovine leukemia virus proviral load in Japanese Black cattle. Tissue Antigens 2013, 81, 72–82. [Google Scholar] [CrossRef] [PubMed]
  30. Gutiérrez, G.; Alvarez, I.; Merlini, R.; Rondelli, F.; Trono, K. Dynamics of perinatal bovine leukemia virus infection. BMC Vet. Res. 2014, 10, 1–5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Monti, G.E.; Frankena, K. Survival analysis on aggregate data to assess time to sero-conversion after experimental infection with Bovine Leukemia virus. Prev. Vet. Med. 2005, 68, 241–262. [Google Scholar] [CrossRef] [PubMed]
  32. More, S.; Bøtner, A.; Butterworth, A.; Calistri, P.; Depner, K.; Edwards, S.; Garin-Bastuji, B.; Good, M.; Gortázar Schmidt, C.; Michel, V.; et al. Assessment of listing and categorisation of animal diseases within the framework of the Animal Health Law (Regulation (EU) No 2016/429): Enzootic bovine leukosis (EBL). EFSA J. 2017, 15, 4956. [Google Scholar]
  33. Ruggiero, V.J.; Norby, B.; Benitez, O.J.; Hutchinson, H.; Sporer, K.R.B.; Droscha, C.; Swenson, C.L.; Bartlett, P.C. Controlling bovine leukemia virus in dairy herds by identifying and removing cows with the highest proviral load and lymphocyte counts. J. Dairy Sci. 2019, 102, 9165–9175. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Takeshima, S.N.; Kitamura-Muramatsu, Y.; Yuan, Y.; Polat, M.; Saito, S.; Aida, Y. BLV-CoCoMo-qPCR-2: Improvements to the BLV-CoCoMo-qPCR assay for bovine leukemia virus by reducing primer degeneracy and constructing an optimal standard curve. Arch. Virol. 2015, 160, 1325–1332. [Google Scholar] [CrossRef]
  35. Takeshima, S.; Matsumoto, Y.; Miyasaka, T.; Saito, H.; Onuma, M. A new method for typing bovine major histocompatibility complex class II DRB3 alleles by combining two established PCR sequence-based techniques. Tissue Antigens 2011, 78, 208–213. [Google Scholar] [CrossRef] [PubMed]
Pathogens 10 00502 g001 550
Figure 1. The number and ratio of dams with different bovine leukocyte antigen (BoLA)-DRB3 genotypes. Black bars and white bars with black frames represent the numbers and ratios of dams that gave birth to bovine leukemia virus (BLV)-positive (BLV+) or BLV-negative (BLV−) calves in different genotypes.
Figure 1. The number and ratio of dams with different bovine leukocyte antigen (BoLA)-DRB3 genotypes. Black bars and white bars with black frames represent the numbers and ratios of dams that gave birth to bovine leukemia virus (BLV)-positive (BLV+) or BLV-negative (BLV−) calves in different genotypes.
Pathogens 10 00502 g001
Pathogens 10 00502 g002 550
Figure 2. The bovine leukemia virus (BLV) proviral load (PVL) of 96 BLV-infected dams with different bovine leukocyte antigen (BoLA)-DRB3 genotypes, sampled from five farms in Japan from January 2017 to March 2020. PVL in peripheral blood was quantified using CoCoMo-qPCR-2 and BoLA-DRB3 alleles were identified with the PCR-sequence-based typing method. The mean PVL was compared among five groups. p < 0.05 represents statistically significant and 0.05 < p < 0.1 represents tends to be significant, respectively.
Figure 2. The bovine leukemia virus (BLV) proviral load (PVL) of 96 BLV-infected dams with different bovine leukocyte antigen (BoLA)-DRB3 genotypes, sampled from five farms in Japan from January 2017 to March 2020. PVL in peripheral blood was quantified using CoCoMo-qPCR-2 and BoLA-DRB3 alleles were identified with the PCR-sequence-based typing method. The mean PVL was compared among five groups. p < 0.05 represents statistically significant and 0.05 < p < 0.1 represents tends to be significant, respectively.
Pathogens 10 00502 g002
Pathogens 10 00502 g003 550
Figure 3. Estimation of bovine leukemia virus (BLV) vertical transmission probability by dams with different bovine leukocyte antigen (BoLA)-DRB3 genotypes. (A) Red and white bars with red frames represent the number and ratio of calves with each BoLA-DRB3 genotype between the total of BLV-positive calves (BLV+) and the total of BLV-negative calves (BLV−). (B) Black and white bars with black frames represent the number and ratio of the probabilities of vertical transmission of BLV by calves with different BoLA-DRB3 genotypes. (C) PVL in peripheral blood from calves was quantified using CoCoMo-qPCR-2, and BoLA-DRB3 genotypes were identified with the PCR-sequence-based typing method. The mean PVL was compared between two groups with different BoLA-DRB3 genotypes and significant differences between both groups were calculated using Tukey’s test. p > 0.05 represents statistically not significant.
Figure 3. Estimation of bovine leukemia virus (BLV) vertical transmission probability by dams with different bovine leukocyte antigen (BoLA)-DRB3 genotypes. (A) Red and white bars with red frames represent the number and ratio of calves with each BoLA-DRB3 genotype between the total of BLV-positive calves (BLV+) and the total of BLV-negative calves (BLV−). (B) Black and white bars with black frames represent the number and ratio of the probabilities of vertical transmission of BLV by calves with different BoLA-DRB3 genotypes. (C) PVL in peripheral blood from calves was quantified using CoCoMo-qPCR-2, and BoLA-DRB3 genotypes were identified with the PCR-sequence-based typing method. The mean PVL was compared between two groups with different BoLA-DRB3 genotypes and significant differences between both groups were calculated using Tukey’s test. p > 0.05 represents statistically not significant.
Pathogens 10 00502 g003
Pathogens 10 00502 g004 550
Figure 4. Probability of vertical bovine leukemia virus (BLV) transmission by dams and calves with different bovine leukocyte antigen (BoLA)-DRB3 alleles. Black colored areas represent the probability of vertical transmission of BLV by BLV-positive dams (A–C) and calves (D–F) with different genotypes. PVL in peripheral blood from dams and their calves was quantified using CoCoMo-qPCR-2, and BoLA-DRB3 alleles were identified by the PCR-sequence-based typing method. The probability of vertical transmission of BLV from BLV-positive dams with resistant/neutral and resistant/susceptibility genotypes, possessing at least one resistant allele (A); with susceptible/susceptible and susceptible/neutral genotypes, possessing only susceptible allele or susceptible and neutral alleles (B); and with neutral/neutral genotypes, possessing only neutral alleles (C). The probability of vertical transmission of BLV in BLV-positive calves with resistant/resistant, resistant/neutral, and resistant/susceptibility genotypes, possessing at least one resistant allele (D); with susceptible/susceptible and susceptible/neutral genotypes, possessing only susceptible allele or susceptible and neutral alleles (E); and with neutral/neutral genotypes, possessing only neutral alleles (F).
Figure 4. Probability of vertical bovine leukemia virus (BLV) transmission by dams and calves with different bovine leukocyte antigen (BoLA)-DRB3 alleles. Black colored areas represent the probability of vertical transmission of BLV by BLV-positive dams (A–C) and calves (D–F) with different genotypes. PVL in peripheral blood from dams and their calves was quantified using CoCoMo-qPCR-2, and BoLA-DRB3 alleles were identified by the PCR-sequence-based typing method. The probability of vertical transmission of BLV from BLV-positive dams with resistant/neutral and resistant/susceptibility genotypes, possessing at least one resistant allele (A); with susceptible/susceptible and susceptible/neutral genotypes, possessing only susceptible allele or susceptible and neutral alleles (B); and with neutral/neutral genotypes, possessing only neutral alleles (C). The probability of vertical transmission of BLV in BLV-positive calves with resistant/resistant, resistant/neutral, and resistant/susceptibility genotypes, possessing at least one resistant allele (D); with susceptible/susceptible and susceptible/neutral genotypes, possessing only susceptible allele or susceptible and neutral alleles (E); and with neutral/neutral genotypes, possessing only neutral alleles (F).
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Table
Table 1. Number of dam-calf pairs from five farms that were sampled peripheral blood temporarily from January 2017 to March 2020.
Table 1. Number of dam-calf pairs from five farms that were sampled peripheral blood temporarily from January 2017 to March 2020.
Sampling Year
Farm2017201820192020Total
A25209
B22004
C23005
D5311019
E1618321783
Total27314517120
Table
Table 2. BoLA-DRB3 alleles and proviral load (PVL) in 120 dams sampled from January 2017 to March 2020.
Table 2. BoLA-DRB3 alleles and proviral load (PVL) in 120 dams sampled from January 2017 to March 2020.
Dams Allelesgp51 aPVL bDams Allelesgp51PVLDams Allelesgp51PVL
Resistant/Neutral Genotypes Neutral/Neutral Genotypes
009:02/001:01+d189012:01/011:01+17,625011:01/007:01+78,079
009:02/001:01+47012:01/011:01+11,459011:01/011:01+70,859
009:02/010:01−e0012:01/010:01+862011:01/011:01+57,379
009:02/010:01−0012:01/016:01+205002:01/027:03+47,903
014:01:01/001:01+12,544012:01/011:01−0011:01/001:01+43,822
014:01:01/027:03+c 1491015:01/010:01+83,036011:01/010:01+42,597
014:01:01/001:01+1181015:01/011:01+72,853011:01/007:01+40,583
014:01:01/027:03+674015:01/001:01+67,185010:01/001:01+35,257
014:01:01/011:01+490015:01/007:01+65,839010:01/010:01+31,068
014:01:01/007:01+428015:01/011:01+63,536011:01/027:03+28,112
014:01:01/011:01+321015:01/001:01+54,091011:01/010:01+26,038
014:01:01/011:01+68015:01/011:01+43,868011:01/011:01+25,977
014:01:01/011:01+43015:01/011:01+42,759010:01/010:01+25,839
014:01:01/027:03−0015:01/027:03+41,824011:01/010:01+25,547
014:01:01/007:01−0015:01/001:01+40,714011:01/010:01+25,547
014:01:01/011:01−0015:01/011:01+38,416001:01/001:01+25,031
014:01:01/011:01−0015:01/011:01+38,371010:01/001:01+22,180
Resistant/susceptible genotypes015:01/011:01+33,300010:01/010:01+20,134
014:01:01/015:01+33,529015:01/001:01+24,249011:01/027:03+18,607
014:01:01/015:01+3122015:01/011:01+22,690010:01/010:01+13,613
014:01:01/015:01+360015:01/010:01+20,238010:01/027:03+11,914
014:01:01/012:01+570015:01/011:01+16,800011:01/027:03+10,928
014:01:01/012:01+153015:01/001:01+13,247001:01/010:01+6876
Susceptible/susceptible genotypes015:01/011:01+9196010:01/001:01+3955
012:01/015:01+52,072015:01/011:01+7288010:01/001:01+1893
012:01/015:01+28,311015:01/010:01+7063010:01/001:01+794
012:01/015:01−0015:01/010:01+6252010:01/010:01+684
015:01/015:01+45,321015:01/010:01+6077011:01/001:01+223
015:01/015:01+16,735015:01/011:01+6000 011:01/011:01+144
015:01/015:01+12,157015:01/001:01+1727011:01/001:01+109
Susceptible/neutral genotypes015:01/001:01+1043011:01/001:01+106
012:01/001:01+61,538015:01/007:01+616011:01/001:01+66
012:01/007:04+59,974015:01/007:01+420010:01/007:01−0
012:01/007:01+59,441015:01/001:01+279011:01/010:01−0
012:01/007:04+57,550015:01/007:01+275011:01/010:01−0
012:01/011:01+51,915015:01/001:01−0011:01/018:01−0
012:01/001:01+44,098015:01/011:01−0001:01/027:03−0
012:01/001:01+42,750015:01/001:01−0001:01/027:03−0
012:01/027:03+30,863015:01/011:01−0002:01/016:01−0
012:01/027:03+19,058015:01/001:01−0001:01/027:01−0
011:01/007:01−0
011:01/001:01−0
001:01/007:01−0
a Bovine leukemia virus (BLV)-positive cows were diagnosed using anantaAnti-Env gp51 antibodies was detected using the BLV antibody enzyme-linked immunosorbent assay (ELISA) Kit (JNC, Tokyo, Japan). b PVL was calculated using the BLV-Coordination of Common Motifs (CoCoMo)-qPCR-2 system (RIKEN Genesis, Kanagawa, Japan). PVL given as proviral copies per 105 cells. c PVL of BLV-positive dams that delivered BLV-positive calves are given in boldface and underline. d+, Positive. e−, Negative.
Table
Table 3. The proportions of dams with different genotypes, delivered BLV-positive calves and BLV-negative calves.
Table 3. The proportions of dams with different genotypes, delivered BLV-positive calves and BLV-negative calves.
BoLA-DRB3 GenotypeDam no./Total no. (%)Dam no. (%) with
All Dams aBLV-Positive Dams bBLV-Negative Calves cBLV-Positive Calves d
Resistant/neutral17/120 (14.2)11/96 (11.5)10/67 (14.9)1/29 (3.4)
Resistant/susceptible5/120 (4.2)5/96 (5.2)3/67 (4.5)2/29 (6.9)
Susceptible/susceptible6/120 (5.0)5/96 (5.2)2/67 (3.0)3/29 (10.3)
Susceptible/neutral49/120 (40.8)43/96 (44.8)28/67 (41.8)15/29 (51.7)
Neutral/neutral43/120 (35.8)32/96 (33.3)24/67 (35.8)8/29 (27.6)
Total120966729
“a” represent all dams sampled in this study. “b” represent the BLV-positive dams in this study. “c” represent the BLV-positive dams that delivered BLV-negative calves. “d” represent the BLV-positive dams that delivered BLV-positive calves.
Table
Table 4. BoLA-DRB3 alleles and proviral load (PVL) in 120 calves, which were given birth from January 2017 to March 2020.
Table 4. BoLA-DRB3 alleles and proviral load (PVL) in 120 calves, which were given birth from January 2017 to March 2020.
Calves AllelesPVLCalves AllelesPVLCalves AllelesPVL
Resistant/neutral genotypes
009:02/010:010015:01/011:010001:01/011:010
009:02/010:010015:01/011:010001:01/011:010
009:02/002:010015:01/011:010001:01/011:010
014:01:01/011:010015:01/011:010001:01/010:013721
014:01:01/011:010015:01/010:013654001:01/010:013255
014:01:01/001:010015:01/010:010001:01/010:01374
Resistant/resistant genotypes015:01/010:010001:01/010:010
014:01:01/014:01:010015:01/010:010001:01/010:010
014:01:01/014:01:010015:01/010:010001:01/010:010
Resistant/susceptible genotypes015:01/010:010001:01/010:010
014:01:01/015:010015:01/001:01174001:01/010:010
014:01:01/015:010015:01/001:010001:01/010:010
014:01:01/015:010015:01/001:010001:01/007:010
014:01:01/015:010015:01/001:010001:01/007:010
014:01:01/015:010015:01/001:010001:01/002:010
014:01:01/012:010015:01/001:010001:01/001:0159
Susceptible/susceptible genotypes015:01/001:010001:01/001:010
012:01/015:014044015:01/001:010001:01/001:010
012:01/015:011496015:01/007:010001:01/001:010
012:01/015:010015:01/002:010001:01/001:010
012:01/015:010012:01/011:010001:01/001:010
012:01/015:010012:01/011:010001:01/001:010
012:01/015:010012:01/010:011366001:01/001:010
015:01/015:019988012:01/010:01246001:01/001:010
015:01/015:01662012:01/007:014525002:01/011:010
015:01/015:01183012:01/007:010002:01/007:0142
015:01/015:010012:01/005:030005:03/010:010
015:01/015:010012:01/018:010007:01/027:030
015:01/015:010012:01/016:010007:01/011:01147
Susceptible/neutral genotypesNeutral/neutral genotypes007:01/007:010
015:01/027:035086010:01/007:040010:01/027:03472
015:01/027:031096011:01/027:038046010:01/027:030
015:01/027:03106011:01/027:030010:01/027:030
015:01/027:030001:01/027:03553010:01/011:01721
015:01/027:030001:01/027:030010:01/011:010
015:01/018:010001:01/027:030010:01/011:010
015:01/016:019355001:01/027:030010:01/010:010
015:01/016:010001:01/027:030011:01/010:010
015:01/011:011545001:01/016:010011:01/011:01420
015:01/011:01109001:01/011:011562011:01/011:010
015:01/011:010001:01/011:01545011:01/011:010
015:01/011:010001:01/011:010
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Borjigin, L.; Lo, C.-W.; Bai, L.; Hamada, R.; Sato, H.; Yoneyama, S.; Yasui, A.; Yasuda, S.; Yamanaka, R.; Mimura, M.; et al. Risk Assessment of Bovine Major Histocompatibility Complex Class II DRB3 Alleles for Perinatal Transmission of Bovine Leukemia Virus. Pathogens 2021, 10, 502. https://doi.org/10.3390/pathogens10050502

AMA Style

Borjigin L, Lo C-W, Bai L, Hamada R, Sato H, Yoneyama S, Yasui A, Yasuda S, Yamanaka R, Mimura M, et al. Risk Assessment of Bovine Major Histocompatibility Complex Class II DRB3 Alleles for Perinatal Transmission of Bovine Leukemia Virus. Pathogens. 2021; 10(5):502. https://doi.org/10.3390/pathogens10050502

Chicago/Turabian Style

Borjigin, Liushiqi, Chieh-Wen Lo, Lanlan Bai, Rania Hamada, Hirotaka Sato, Shuji Yoneyama, Anna Yasui, Sohei Yasuda, Risa Yamanaka, Munehito Mimura, and et al. 2021. "Risk Assessment of Bovine Major Histocompatibility Complex Class II DRB3 Alleles for Perinatal Transmission of Bovine Leukemia Virus" Pathogens 10, no. 5: 502. https://doi.org/10.3390/pathogens10050502

APA Style

Borjigin, L., Lo, C. -W., Bai, L., Hamada, R., Sato, H., Yoneyama, S., Yasui, A., Yasuda, S., Yamanaka, R., Mimura, M., Inokuma, M., Shinozaki, Y., Tanaka, N., Takeshima, S. -N., & Aida, Y. (2021). Risk Assessment of Bovine Major Histocompatibility Complex Class II DRB3 Alleles for Perinatal Transmission of Bovine Leukemia Virus. Pathogens, 10(5), 502. https://doi.org/10.3390/pathogens10050502

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