Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle
- Autores
- Petersen, Marcos Iván; Carignano, Hugo Adrian; Suarez Archilla, Guillermo; Caffaro, María Eugenia; Alvarez, Irene; Miretti, Marcos Mateo; Trono, Karina Gabriela
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- In dairy cattle infected with bovine leukemia virus (BLV), the proviral load (PVL) level is directly related to the viral transmission from infected animals to their healthy herdmates. Two contrasting phenotypic groups can be identified when assessing PVL in peripheral blood of infected cows. A large number of reports point to bovine genetic variants (single nucleotide polymorphisms) as one of the key determinants underlying PVL level. However, biological mechanisms driving BLV PVL profiles and infection progression in cattle have not yet been elucidated. In this study, we evaluated whether a set of candidate genes affecting BLV PVL level according to whole genome association studies are differentially expressed in peripheral blood mononuclear cells derived from phenotypically contrasting groups of BLV-infected cows. During a 10-mo-long sampling scheme, 129 Holstein cows were phenotyped measuring anti-BLV antibody levels, PVL quantification, and white blood cell subpopulation counts. Finally, the expression of 8 genes (BOLA-DRB3, PRRC2A, ABT1, TNF, BAG6, BOLA-A, LY6G5B, and IER3) located within the bovine major histocompatibility complex region harboring whole genome association SNP hits was evaluated in 2 phenotypic groups: high PVL (n = 7) and low PVL (n = 8). The log2 initial fluorescence value (N0) transformed mean expression values for the ABT1 transcription factor were statistically different in high- and low-PVL groups, showing a higher expression of the ABT1 gene in low-PVL cows. The PRRC2A and IER3 genes had a significant positive (correlation coefficient = 0.61) and negative (correlation coefficient = −0.45) correlation with the lymphocyte counts, respectively. Additionally, the relationships between gene expression values and lymphocyte counts were modeled using linear regressions. Lymphocyte levels in infected cows were better explained (coefficient of determination = 0.56) when fitted a multiple linear regression model using both PRRC2A and IER3 expression values as independent variables. The present study showed evidence of differential gene expression between contrasting BLV infection phenotypes. These genes have not been previously related to BLV pathobiology. This valuable information represents a step forward in understanding the BLV biology and the immune response of naturally infected cows under a commercial milk production system. Efforts to elucidate biological mechanisms leading to BLV infection progression in cows are valuable for BLV control programs. Further studies integrating genotypic data, global transcriptome analysis, and BLV progression phenotypes are needed to better understand the BLV–host interaction.
Instituto de Virología
Fil: Petersen, Marcos Iván. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina
Fil: Petersen, Marcos Iván. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Petersen, Marcos Iván. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina
Fil: Carignano, Hugo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina
Fil: Carignano, Hugo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Carignano, Hugo Adrian. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina
Fil: Suarez Archilla, Guillermo. INTA. Estación Experimental Agropecuaria Rafaela; Argentina
Fil: Caffaro, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Alvarez, Irene. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina
Fil: Alvarez, Irene. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Alvarez, Irene. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina
Fil: Miretti, Marcos Mateo. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Biología Subtropical. Grupo de Investigación en Genética Aplicada; Argentina
Fil: Miretti, Marcos Mateo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Trono, Karina Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina
Fil: Trono, Karina Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Trono, Karina Gabriela. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina - Fuente
- Journal of Dairy Science 104 (2) : 1993-2007 (Febrero 2021)
- Materia
-
Bovine Leukaemia Virus
Gene Expression
Single Nucleotide Polymorphism
Dairy Cattle
Virus Leucemia Bovina
Expresión Génica
Polimorfismo de un Solo Nucleótido
Ganado de Leche
Argentina - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/9116
Ver los metadatos del registro completo
| id |
INTADig_73853cffe2628da9491ec054c8a37d61 |
|---|---|
| oai_identifier_str |
oai:localhost:20.500.12123/9116 |
| network_acronym_str |
INTADig |
| repository_id_str |
l |
| network_name_str |
INTA Digital (INTA) |
| spelling |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattlePetersen, Marcos IvánCarignano, Hugo AdrianSuarez Archilla, GuillermoCaffaro, María EugeniaAlvarez, IreneMiretti, Marcos MateoTrono, Karina GabrielaBovine Leukaemia VirusGene ExpressionSingle Nucleotide PolymorphismDairy CattleVirus Leucemia BovinaExpresión GénicaPolimorfismo de un Solo NucleótidoGanado de LecheArgentinaIn dairy cattle infected with bovine leukemia virus (BLV), the proviral load (PVL) level is directly related to the viral transmission from infected animals to their healthy herdmates. Two contrasting phenotypic groups can be identified when assessing PVL in peripheral blood of infected cows. A large number of reports point to bovine genetic variants (single nucleotide polymorphisms) as one of the key determinants underlying PVL level. However, biological mechanisms driving BLV PVL profiles and infection progression in cattle have not yet been elucidated. In this study, we evaluated whether a set of candidate genes affecting BLV PVL level according to whole genome association studies are differentially expressed in peripheral blood mononuclear cells derived from phenotypically contrasting groups of BLV-infected cows. During a 10-mo-long sampling scheme, 129 Holstein cows were phenotyped measuring anti-BLV antibody levels, PVL quantification, and white blood cell subpopulation counts. Finally, the expression of 8 genes (BOLA-DRB3, PRRC2A, ABT1, TNF, BAG6, BOLA-A, LY6G5B, and IER3) located within the bovine major histocompatibility complex region harboring whole genome association SNP hits was evaluated in 2 phenotypic groups: high PVL (n = 7) and low PVL (n = 8). The log2 initial fluorescence value (N0) transformed mean expression values for the ABT1 transcription factor were statistically different in high- and low-PVL groups, showing a higher expression of the ABT1 gene in low-PVL cows. The PRRC2A and IER3 genes had a significant positive (correlation coefficient = 0.61) and negative (correlation coefficient = −0.45) correlation with the lymphocyte counts, respectively. Additionally, the relationships between gene expression values and lymphocyte counts were modeled using linear regressions. Lymphocyte levels in infected cows were better explained (coefficient of determination = 0.56) when fitted a multiple linear regression model using both PRRC2A and IER3 expression values as independent variables. The present study showed evidence of differential gene expression between contrasting BLV infection phenotypes. These genes have not been previously related to BLV pathobiology. This valuable information represents a step forward in understanding the BLV biology and the immune response of naturally infected cows under a commercial milk production system. Efforts to elucidate biological mechanisms leading to BLV infection progression in cows are valuable for BLV control programs. Further studies integrating genotypic data, global transcriptome analysis, and BLV progression phenotypes are needed to better understand the BLV–host interaction.Instituto de VirologíaFil: Petersen, Marcos Iván. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; ArgentinaFil: Petersen, Marcos Iván. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Petersen, Marcos Iván. Consejo Nacional de Investigaciones Científicas y Tecnológicas; ArgentinaFil: Carignano, Hugo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; ArgentinaFil: Carignano, Hugo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Carignano, Hugo Adrian. Consejo Nacional de Investigaciones Científicas y Tecnológicas; ArgentinaFil: Suarez Archilla, Guillermo. INTA. Estación Experimental Agropecuaria Rafaela; ArgentinaFil: Caffaro, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Alvarez, Irene. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; ArgentinaFil: Alvarez, Irene. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Alvarez, Irene. Consejo Nacional de Investigaciones Científicas y Tecnológicas; ArgentinaFil: Miretti, Marcos Mateo. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Biología Subtropical. Grupo de Investigación en Genética Aplicada; ArgentinaFil: Miretti, Marcos Mateo. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Trono, Karina Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; ArgentinaFil: Trono, Karina Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Trono, Karina Gabriela. Consejo Nacional de Investigaciones Científicas y Tecnológicas; ArgentinaElsevierinfo:eu-repo/date/embargoEnd/2022-04-162021-04-16T17:21:34Z2021-04-16T17:21:34Z2021-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/9116https://www.sciencedirect.com/science/article/abs/pii/S00220302203097600022-03021525-3198https://doi.org/10.3168/jds.2020-18924Journal of Dairy Science 104 (2) : 1993-2007 (Febrero 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2019-PD-E5-I102-001/2019-PD-E5-I102-001/AR./Desarrollo de vacunas y tecnologías para mejorar las estrategias profilácticas y terapéuticas de las enfermedades que afectan la producción animal y la salud públicainfo:eu-repo/semantics/openAccess2025-10-16T09:30:03Zoai:localhost:20.500.12123/9116instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:30:04.087INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
| dc.title.none.fl_str_mv |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle |
| title |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle |
| spellingShingle |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle Petersen, Marcos Iván Bovine Leukaemia Virus Gene Expression Single Nucleotide Polymorphism Dairy Cattle Virus Leucemia Bovina Expresión Génica Polimorfismo de un Solo Nucleótido Ganado de Leche Argentina |
| title_short |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle |
| title_full |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle |
| title_fullStr |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle |
| title_full_unstemmed |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle |
| title_sort |
Expression-based analysis of genes related to single nucleotide polymorphism hits associated with bovine leukemia virus proviral load in Argentinean dairy cattle |
| dc.creator.none.fl_str_mv |
Petersen, Marcos Iván Carignano, Hugo Adrian Suarez Archilla, Guillermo Caffaro, María Eugenia Alvarez, Irene Miretti, Marcos Mateo Trono, Karina Gabriela |
| author |
Petersen, Marcos Iván |
| author_facet |
Petersen, Marcos Iván Carignano, Hugo Adrian Suarez Archilla, Guillermo Caffaro, María Eugenia Alvarez, Irene Miretti, Marcos Mateo Trono, Karina Gabriela |
| author_role |
author |
| author2 |
Carignano, Hugo Adrian Suarez Archilla, Guillermo Caffaro, María Eugenia Alvarez, Irene Miretti, Marcos Mateo Trono, Karina Gabriela |
| author2_role |
author author author author author author |
| dc.subject.none.fl_str_mv |
Bovine Leukaemia Virus Gene Expression Single Nucleotide Polymorphism Dairy Cattle Virus Leucemia Bovina Expresión Génica Polimorfismo de un Solo Nucleótido Ganado de Leche Argentina |
| topic |
Bovine Leukaemia Virus Gene Expression Single Nucleotide Polymorphism Dairy Cattle Virus Leucemia Bovina Expresión Génica Polimorfismo de un Solo Nucleótido Ganado de Leche Argentina |
| dc.description.none.fl_txt_mv |
In dairy cattle infected with bovine leukemia virus (BLV), the proviral load (PVL) level is directly related to the viral transmission from infected animals to their healthy herdmates. Two contrasting phenotypic groups can be identified when assessing PVL in peripheral blood of infected cows. A large number of reports point to bovine genetic variants (single nucleotide polymorphisms) as one of the key determinants underlying PVL level. However, biological mechanisms driving BLV PVL profiles and infection progression in cattle have not yet been elucidated. In this study, we evaluated whether a set of candidate genes affecting BLV PVL level according to whole genome association studies are differentially expressed in peripheral blood mononuclear cells derived from phenotypically contrasting groups of BLV-infected cows. During a 10-mo-long sampling scheme, 129 Holstein cows were phenotyped measuring anti-BLV antibody levels, PVL quantification, and white blood cell subpopulation counts. Finally, the expression of 8 genes (BOLA-DRB3, PRRC2A, ABT1, TNF, BAG6, BOLA-A, LY6G5B, and IER3) located within the bovine major histocompatibility complex region harboring whole genome association SNP hits was evaluated in 2 phenotypic groups: high PVL (n = 7) and low PVL (n = 8). The log2 initial fluorescence value (N0) transformed mean expression values for the ABT1 transcription factor were statistically different in high- and low-PVL groups, showing a higher expression of the ABT1 gene in low-PVL cows. The PRRC2A and IER3 genes had a significant positive (correlation coefficient = 0.61) and negative (correlation coefficient = −0.45) correlation with the lymphocyte counts, respectively. Additionally, the relationships between gene expression values and lymphocyte counts were modeled using linear regressions. Lymphocyte levels in infected cows were better explained (coefficient of determination = 0.56) when fitted a multiple linear regression model using both PRRC2A and IER3 expression values as independent variables. The present study showed evidence of differential gene expression between contrasting BLV infection phenotypes. These genes have not been previously related to BLV pathobiology. This valuable information represents a step forward in understanding the BLV biology and the immune response of naturally infected cows under a commercial milk production system. Efforts to elucidate biological mechanisms leading to BLV infection progression in cows are valuable for BLV control programs. Further studies integrating genotypic data, global transcriptome analysis, and BLV progression phenotypes are needed to better understand the BLV–host interaction. Instituto de Virología Fil: Petersen, Marcos Iván. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina Fil: Petersen, Marcos Iván. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina Fil: Petersen, Marcos Iván. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina Fil: Carignano, Hugo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina Fil: Carignano, Hugo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina Fil: Carignano, Hugo Adrian. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina Fil: Suarez Archilla, Guillermo. INTA. Estación Experimental Agropecuaria Rafaela; Argentina Fil: Caffaro, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina Fil: Alvarez, Irene. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina Fil: Alvarez, Irene. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina Fil: Alvarez, Irene. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina Fil: Miretti, Marcos Mateo. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Biología Subtropical. Grupo de Investigación en Genética Aplicada; Argentina Fil: Miretti, Marcos Mateo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Trono, Karina Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; Argentina Fil: Trono, Karina Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina Fil: Trono, Karina Gabriela. Consejo Nacional de Investigaciones Científicas y Tecnológicas; Argentina |
| description |
In dairy cattle infected with bovine leukemia virus (BLV), the proviral load (PVL) level is directly related to the viral transmission from infected animals to their healthy herdmates. Two contrasting phenotypic groups can be identified when assessing PVL in peripheral blood of infected cows. A large number of reports point to bovine genetic variants (single nucleotide polymorphisms) as one of the key determinants underlying PVL level. However, biological mechanisms driving BLV PVL profiles and infection progression in cattle have not yet been elucidated. In this study, we evaluated whether a set of candidate genes affecting BLV PVL level according to whole genome association studies are differentially expressed in peripheral blood mononuclear cells derived from phenotypically contrasting groups of BLV-infected cows. During a 10-mo-long sampling scheme, 129 Holstein cows were phenotyped measuring anti-BLV antibody levels, PVL quantification, and white blood cell subpopulation counts. Finally, the expression of 8 genes (BOLA-DRB3, PRRC2A, ABT1, TNF, BAG6, BOLA-A, LY6G5B, and IER3) located within the bovine major histocompatibility complex region harboring whole genome association SNP hits was evaluated in 2 phenotypic groups: high PVL (n = 7) and low PVL (n = 8). The log2 initial fluorescence value (N0) transformed mean expression values for the ABT1 transcription factor were statistically different in high- and low-PVL groups, showing a higher expression of the ABT1 gene in low-PVL cows. The PRRC2A and IER3 genes had a significant positive (correlation coefficient = 0.61) and negative (correlation coefficient = −0.45) correlation with the lymphocyte counts, respectively. Additionally, the relationships between gene expression values and lymphocyte counts were modeled using linear regressions. Lymphocyte levels in infected cows were better explained (coefficient of determination = 0.56) when fitted a multiple linear regression model using both PRRC2A and IER3 expression values as independent variables. The present study showed evidence of differential gene expression between contrasting BLV infection phenotypes. These genes have not been previously related to BLV pathobiology. This valuable information represents a step forward in understanding the BLV biology and the immune response of naturally infected cows under a commercial milk production system. Efforts to elucidate biological mechanisms leading to BLV infection progression in cows are valuable for BLV control programs. Further studies integrating genotypic data, global transcriptome analysis, and BLV progression phenotypes are needed to better understand the BLV–host interaction. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-04-16T17:21:34Z 2021-04-16T17:21:34Z 2021-02 info:eu-repo/date/embargoEnd/2022-04-16 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/9116 https://www.sciencedirect.com/science/article/abs/pii/S0022030220309760 0022-0302 1525-3198 https://doi.org/10.3168/jds.2020-18924 |
| url |
http://hdl.handle.net/20.500.12123/9116 https://www.sciencedirect.com/science/article/abs/pii/S0022030220309760 https://doi.org/10.3168/jds.2020-18924 |
| identifier_str_mv |
0022-0302 1525-3198 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repograntAgreement/INTA/2019-PD-E5-I102-001/2019-PD-E5-I102-001/AR./Desarrollo de vacunas y tecnologías para mejorar las estrategias profilácticas y terapéuticas de las enfermedades que afectan la producción animal y la salud pública |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
Journal of Dairy Science 104 (2) : 1993-2007 (Febrero 2021) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
| reponame_str |
INTA Digital (INTA) |
| collection |
INTA Digital (INTA) |
| instname_str |
Instituto Nacional de Tecnología Agropecuaria |
| repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
| repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
| _version_ |
1846143533909540864 |
| score |
12.712165 |