Unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions

Abstract Background Selection of cattle that are less sensitive to environmental variation in unfavorable environments and more adapted to harsh conditions is of primary importance for tropical beef cattle production systems. Understanding the genetic background of sensitivity to environmental varia...

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Main Authors: Roberto Carvalheiro, Roy Costilla, Haroldo H. R. Neves, Lucia G. Albuquerque, Stephen Moore, Ben J. Hayes
Format: Article
Language:deu
Published: BMC 2019-06-01
Series:Genetics Selection Evolution
Online Access:http://link.springer.com/article/10.1186/s12711-019-0470-x
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spelling doaj-8b5238a89435410187ebcac67ba5c9172020-11-25T03:30:19ZdeuBMCGenetics Selection Evolution1297-96862019-06-0151111410.1186/s12711-019-0470-xUnraveling genetic sensitivity of beef cattle to environmental variation under tropical conditionsRoberto Carvalheiro0Roy Costilla1Haroldo H. R. Neves2Lucia G. Albuquerque3Stephen Moore4Ben J. Hayes5School of Agricultural and Veterinarian Sciences, Sao Paulo State University (UNESP)Institute for Molecular Bioscience (IMB), University of QueenslandGenSys Associated ConsultantsSchool of Agricultural and Veterinarian Sciences, Sao Paulo State University (UNESP)Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Animal Science, University of QueenslandQueensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Animal Science, University of QueenslandAbstract Background Selection of cattle that are less sensitive to environmental variation in unfavorable environments and more adapted to harsh conditions is of primary importance for tropical beef cattle production systems. Understanding the genetic background of sensitivity to environmental variation is necessary for developing strategies and tools to increase efficiency and sustainability of beef production. We evaluated the degree of sensitivity of beef cattle performance to environmental variation, at the animal and molecular marker levels (412 K single nucleotide polymorphisms), by fitting and comparing the results of different reaction norm models (RNM), using a comprehensive dataset of Nellore cattle raised under diverse environmental conditions. Results Heteroscedastic RNM (with different residual variances for environmental level) provided better fit than homoscedastic RNM. In addition, spline and quadratic RNM outperformed linear RNM, which suggests the existence of a nonlinear genetic component affecting the performance of Nellore cattle. This nonlinearity indicates that within-animal sensitivity depends on the environmental gradient (EG) level and that animals may present different patterns of sensitivity according to the range of environmental variations. The spline RNM showed that sensitivity to environmental variation from harsh to average EG is lowly correlated with sensitivity from average to good EG, at both the animal and molecular marker levels. Although the genomic regions that affect sensitivity in harsher environments were not the same as those associated with less challenging environments, the candidate genes within those regions participate in common biological processes such as those related to inflammatory and immune response. Some plausible candidate genes were identified. Conclusions Sensitivity of tropical beef cattle to environmental variation is not continuous along the environmental gradient, which implies that animals that are less sensitive to harsher conditions are not necessarily less responsive to variations in better environmental conditions, and vice versa. The same pattern was observed at the molecular marker level, i.e. genomic regions and, consequently, candidate genes associated with sensitivity to harsh conditions were not the same as those associated with sensitivity to less challenging conditions.http://link.springer.com/article/10.1186/s12711-019-0470-x
collection DOAJ
language deu
format Article
sources DOAJ
author Roberto Carvalheiro
Roy Costilla
Haroldo H. R. Neves
Lucia G. Albuquerque
Stephen Moore
Ben J. Hayes
spellingShingle Roberto Carvalheiro
Roy Costilla
Haroldo H. R. Neves
Lucia G. Albuquerque
Stephen Moore
Ben J. Hayes
Unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions
Genetics Selection Evolution
author_facet Roberto Carvalheiro
Roy Costilla
Haroldo H. R. Neves
Lucia G. Albuquerque
Stephen Moore
Ben J. Hayes
author_sort Roberto Carvalheiro
title Unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions
title_short Unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions
title_full Unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions
title_fullStr Unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions
title_full_unstemmed Unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions
title_sort unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions
publisher BMC
series Genetics Selection Evolution
issn 1297-9686
publishDate 2019-06-01
description Abstract Background Selection of cattle that are less sensitive to environmental variation in unfavorable environments and more adapted to harsh conditions is of primary importance for tropical beef cattle production systems. Understanding the genetic background of sensitivity to environmental variation is necessary for developing strategies and tools to increase efficiency and sustainability of beef production. We evaluated the degree of sensitivity of beef cattle performance to environmental variation, at the animal and molecular marker levels (412 K single nucleotide polymorphisms), by fitting and comparing the results of different reaction norm models (RNM), using a comprehensive dataset of Nellore cattle raised under diverse environmental conditions. Results Heteroscedastic RNM (with different residual variances for environmental level) provided better fit than homoscedastic RNM. In addition, spline and quadratic RNM outperformed linear RNM, which suggests the existence of a nonlinear genetic component affecting the performance of Nellore cattle. This nonlinearity indicates that within-animal sensitivity depends on the environmental gradient (EG) level and that animals may present different patterns of sensitivity according to the range of environmental variations. The spline RNM showed that sensitivity to environmental variation from harsh to average EG is lowly correlated with sensitivity from average to good EG, at both the animal and molecular marker levels. Although the genomic regions that affect sensitivity in harsher environments were not the same as those associated with less challenging environments, the candidate genes within those regions participate in common biological processes such as those related to inflammatory and immune response. Some plausible candidate genes were identified. Conclusions Sensitivity of tropical beef cattle to environmental variation is not continuous along the environmental gradient, which implies that animals that are less sensitive to harsher conditions are not necessarily less responsive to variations in better environmental conditions, and vice versa. The same pattern was observed at the molecular marker level, i.e. genomic regions and, consequently, candidate genes associated with sensitivity to harsh conditions were not the same as those associated with sensitivity to less challenging conditions.
url http://link.springer.com/article/10.1186/s12711-019-0470-x
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