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Identification of functional mutations associated with environmental variance of litter size in rabbits

BACKGROUND: Environmental variance (V(E)) is partly under genetic control and has recently been proposed as a measure of resilience. Unravelling the genetic background of the V(E) of complex traits could help to improve resilience of livestock and stabilize their production across farming systems. T...

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Autores principales: Casto-Rebollo, Cristina, Argente, María José, García, María Luz, Pena, Romi, Ibáñez-Escriche, Noelia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203823/
https://www.ncbi.nlm.nih.gov/pubmed/32375645
http://dx.doi.org/10.1186/s12711-020-00542-w
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author Casto-Rebollo, Cristina
Argente, María José
García, María Luz
Pena, Romi
Ibáñez-Escriche, Noelia
author_facet Casto-Rebollo, Cristina
Argente, María José
García, María Luz
Pena, Romi
Ibáñez-Escriche, Noelia
author_sort Casto-Rebollo, Cristina
collection PubMed
description BACKGROUND: Environmental variance (V(E)) is partly under genetic control and has recently been proposed as a measure of resilience. Unravelling the genetic background of the V(E) of complex traits could help to improve resilience of livestock and stabilize their production across farming systems. The objective of this study was to identify genes and functional mutations associated with variation in V(E) of litter size (LS) in rabbits. To achieve this, we combined the results of a genome-wide association study (GWAS) and a whole-genome sequencing (WGS) analysis using data from two divergently selected rabbit lines for high and low V(E) of LS. These lines differ in terms of biomarkers of immune response and mortality. Moreover, rabbits with a lower V(E) of LS were found to be more resilient to infections than animals with a higher V(E) of LS. RESULTS: By using two GWAS approaches (single-marker regression and Bayesian multiple-marker regression), we identified four genomic regions associated with V(E) of LS, on chromosomes 3, 7, 10, and 14. We detected 38 genes in the associated genomic regions and, using WGS, we identified 129 variants in the splicing, UTR, and coding (missense and frameshift effects) regions of 16 of these 38 genes. These genes were related to the immune system, the development of sensory structures, and stress responses. All of these variants (except one) segregated in one of the rabbit lines and were absent (n = 91) or fixed in the other one (n = 37). The fixed variants were in the HDAC9, ITGB8, MIS18A, ENSOCUG00000021276 and URB1 genes. We also identified a 1-bp deletion in the 3′UTR region of the HUNK gene that was fixed in the low V(E) line and absent in the high V(E) line. CONCLUSIONS: This is the first study that combines GWAS and WGS analyses to study the genetic basis of V(E). The new candidate genes and functional mutations identified in this study suggest that the V(E) of LS is under the control of functions related to the immune system, stress response, and the nervous system. These findings could also explain differences in resilience between rabbits with homogeneous and heterogeneous V(E) of litter size.
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spelling pubmed-72038232020-05-09 Identification of functional mutations associated with environmental variance of litter size in rabbits Casto-Rebollo, Cristina Argente, María José García, María Luz Pena, Romi Ibáñez-Escriche, Noelia Genet Sel Evol Research Article BACKGROUND: Environmental variance (V(E)) is partly under genetic control and has recently been proposed as a measure of resilience. Unravelling the genetic background of the V(E) of complex traits could help to improve resilience of livestock and stabilize their production across farming systems. The objective of this study was to identify genes and functional mutations associated with variation in V(E) of litter size (LS) in rabbits. To achieve this, we combined the results of a genome-wide association study (GWAS) and a whole-genome sequencing (WGS) analysis using data from two divergently selected rabbit lines for high and low V(E) of LS. These lines differ in terms of biomarkers of immune response and mortality. Moreover, rabbits with a lower V(E) of LS were found to be more resilient to infections than animals with a higher V(E) of LS. RESULTS: By using two GWAS approaches (single-marker regression and Bayesian multiple-marker regression), we identified four genomic regions associated with V(E) of LS, on chromosomes 3, 7, 10, and 14. We detected 38 genes in the associated genomic regions and, using WGS, we identified 129 variants in the splicing, UTR, and coding (missense and frameshift effects) regions of 16 of these 38 genes. These genes were related to the immune system, the development of sensory structures, and stress responses. All of these variants (except one) segregated in one of the rabbit lines and were absent (n = 91) or fixed in the other one (n = 37). The fixed variants were in the HDAC9, ITGB8, MIS18A, ENSOCUG00000021276 and URB1 genes. We also identified a 1-bp deletion in the 3′UTR region of the HUNK gene that was fixed in the low V(E) line and absent in the high V(E) line. CONCLUSIONS: This is the first study that combines GWAS and WGS analyses to study the genetic basis of V(E). The new candidate genes and functional mutations identified in this study suggest that the V(E) of LS is under the control of functions related to the immune system, stress response, and the nervous system. These findings could also explain differences in resilience between rabbits with homogeneous and heterogeneous V(E) of litter size. BioMed Central 2020-05-06 /pmc/articles/PMC7203823/ /pubmed/32375645 http://dx.doi.org/10.1186/s12711-020-00542-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Casto-Rebollo, Cristina
Argente, María José
García, María Luz
Pena, Romi
Ibáñez-Escriche, Noelia
Identification of functional mutations associated with environmental variance of litter size in rabbits
title Identification of functional mutations associated with environmental variance of litter size in rabbits
title_full Identification of functional mutations associated with environmental variance of litter size in rabbits
title_fullStr Identification of functional mutations associated with environmental variance of litter size in rabbits
title_full_unstemmed Identification of functional mutations associated with environmental variance of litter size in rabbits
title_short Identification of functional mutations associated with environmental variance of litter size in rabbits
title_sort identification of functional mutations associated with environmental variance of litter size in rabbits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203823/
https://www.ncbi.nlm.nih.gov/pubmed/32375645
http://dx.doi.org/10.1186/s12711-020-00542-w
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