Next Article in Journal
Coping with Tissue Sampling in Suboptimal Conditions: Comparison of Different Tissue Preservation Methods for Histological and Molecular Analysis
Next Article in Special Issue
Leptospira Seroprevalence in Colombian Dairy Herds
Previous Article in Journal
Effect of Forskolin on Body Weight, Glucose Metabolism and Adipocyte Size of Diet-Induced Obesity in Mice
Previous Article in Special Issue
Production Significance of Bovine Respiratory Disease Lesions in Slaughtered Beef Cattle
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Relationship between Allelic Heterozygosity in BoLA-DRB3 and Proviral Loads in Bovine Leukemia Virus-Infected Cattle

1
Graduate School of Medicine and Veterinary Medicine, University of Miyazaki, 5200 Kihara, Kiyotake-cho, Miyazaki 889-1692, Japan
2
Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh, Qalyubia 13736, Egypt
3
National Institute of Veterinary Research, Hanoi 100000, Vietnam
4
Faculty of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi 100000, Vietnam
5
Center for Animal Disease Control, University of Miyazaki, 1-1 Gakuen-Kibanadai-Nishi, Miyazaki 889-2192, Japan
6
Department of Veterinary Science, Faculty of Agriculture, University of Miyazaki, 1-1 Gakuen-Kibanadai-Nishi, Miyazaki 889-2192, Japan
*
Author to whom correspondence should be addressed.
Animals 2021, 11(3), 647; https://doi.org/10.3390/ani11030647
Submission received: 23 December 2020 / Revised: 24 February 2021 / Accepted: 24 February 2021 / Published: 1 March 2021
(This article belongs to the Collection Cattle Diseases)

Simple Summary

Bovine leukemia virus (BLV) caused a severe cattle neoplastic disease called enzootic bovine leukosis (EBL). EBL causes significant economic losses in farming by reducing milk production, reproductive performance, and fertility, and through cattle culling or death. The BLV proviral load (PVL) represents the quantity of BLV genome that has integrated into the host’s genome in BLV-infected cells. It has been reported that PVLs differ according to the genetic background of the host, and some studies of BLV-associated host factors have reported on polymorphisms within the bovine major histocompatibility complex (MHC), namely bovine MHC is bovine leukocyte antigen (BoLA-DRB3). However, there is a great diversity in the PVLs associated with carrying various combinations of these alleles, especially for heterozygous alleles. Therefore, this research investigated whether heterogeneity in BoLA-DRB3 allele combinations would affect PVLs during BLV infections in different ages and breeds of cattle in Japan. This is the first report where the association between heterozygous allelic combinations and BLV PVLs phenotypes (HPLs, LPLs) was analyzed. Our findings augment current understanding about the immunological role played by BoLA heterozygosity in BLV-associated PVLs and biocontrol in BLV infections.

Abstract

Enzootic bovine leukosis is a lethal neoplastic disease caused by bovine leukemia virus (BLV), belongs to family Retroviridae. The BLV proviral load (PVL) represents the quantity of BLV genome that has integrated into the host’s genome in BLV-infected cells. Bovine leukocyte antigen (BoLA) class II allelic polymorphisms are associated with PVLs in BLV-infected cattle. We sought to identify relationships between BoLA-DRB3 allelic heterozygosity and BLV PVLs among different cattle breeds. Blood samples from 598 BLV-infected cattle were quantified to determine their PVLs by real-time polymerase chain reaction. The results were confirmed by a BLV-enzyme-linked immunosorbent assay. Restriction fragment length polymorphism-polymerase chain reaction identified 22 BoLA-DRB3 alleles. Multivariate negative binomial regression modeling was used to test for associations between BLV PVLs and BoLA-DRB3 alleles. BoLA-DRB3.2*3, *7, *8, *11, *22, *24, and *28 alleles were significantly associated with low PVLs. BoLA-DRB3.2*10 was significantly associated with high PVLs. Some heterozygous allele combinations were associated with low PVLs (*3/*28, *7/*8, *8/*11, *10/*11, and *11/*16); others were associated with high PVLs (*1/*41, *10/*16, *10/*41, *16/*27, and *22/*27). Interestingly, the BoLA-DRB3.2*11 heterozygous allele was always strongly and independently associated with low PVLs. This is the first reported evidence of an association between heterozygous allelic combinations and BLV PVLs.
Keywords: BoLA-DRB3 allele combinations; bovine leukemia virus; heterozygous alleles; proviral load; RFLP-PCR BoLA-DRB3 allele combinations; bovine leukemia virus; heterozygous alleles; proviral load; RFLP-PCR

Share and Cite

MDPI and ACS Style

Daous, H.E.; Mitoma, S.; Elhanafy, E.; Thi Nguyen, H.; Thi Mai, N.; Notsu, K.; Kaneko, C.; Norimine, J.; Sekiguchi, S. Relationship between Allelic Heterozygosity in BoLA-DRB3 and Proviral Loads in Bovine Leukemia Virus-Infected Cattle. Animals 2021, 11, 647. https://doi.org/10.3390/ani11030647

AMA Style

Daous HE, Mitoma S, Elhanafy E, Thi Nguyen H, Thi Mai N, Notsu K, Kaneko C, Norimine J, Sekiguchi S. Relationship between Allelic Heterozygosity in BoLA-DRB3 and Proviral Loads in Bovine Leukemia Virus-Infected Cattle. Animals. 2021; 11(3):647. https://doi.org/10.3390/ani11030647

Chicago/Turabian Style

Daous, Hala El, Shuya Mitoma, Eslam Elhanafy, Huyen Thi Nguyen, Ngan Thi Mai, Kosuke Notsu, Chiho Kaneko, Junzo Norimine, and Satoshi Sekiguchi. 2021. "Relationship between Allelic Heterozygosity in BoLA-DRB3 and Proviral Loads in Bovine Leukemia Virus-Infected Cattle" Animals 11, no. 3: 647. https://doi.org/10.3390/ani11030647

APA Style

Daous, H. E., Mitoma, S., Elhanafy, E., Thi Nguyen, H., Thi Mai, N., Notsu, K., Kaneko, C., Norimine, J., & Sekiguchi, S. (2021). Relationship between Allelic Heterozygosity in BoLA-DRB3 and Proviral Loads in Bovine Leukemia Virus-Infected Cattle. Animals, 11(3), 647. https://doi.org/10.3390/ani11030647

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop