Sequence-based GWAS meta-analyses for beef production traits
CONCLUSIONS: By identifying candidate genes and potential causal variants associated with beef production traits in cattle, MA demonstrates great potential for investigating the biological mechanisms underlying these traits. As a complement to within-population GWAS, this approach can provide deeper insights into the genetic architecture of complex traits in beef cattle.PMID:37828440 | DOI:10.1186/s12711-023-00848-5 (Source: Genet Sel Evol)
Source: Genet Sel Evol - October 12, 2023 Category: Genetics & Stem Cells Authors: Marie-Pierre Sanchez Thierry Tribout Naveen K Kadri Praveen K Chitneedi Steffen Maak Chris Hoz é Mekki Boussaha Pascal Croiseau Romain Philippe Mirjam Spengeler Christa K ühn Yining Wang Changxi Li Graham Plastow Hubert Pausch Didier Boichard Source Type: research
Sequence-based GWAS meta-analyses for beef production traits
CONCLUSIONS: By identifying candidate genes and potential causal variants associated with beef production traits in cattle, MA demonstrates great potential for investigating the biological mechanisms underlying these traits. As a complement to within-population GWAS, this approach can provide deeper insights into the genetic architecture of complex traits in beef cattle.PMID:37828440 | DOI:10.1186/s12711-023-00848-5 (Source: Genet Sel Evol)
Source: Genet Sel Evol - October 12, 2023 Category: Genetics & Stem Cells Authors: Marie-Pierre Sanchez Thierry Tribout Naveen K Kadri Praveen K Chitneedi Steffen Maak Chris Hoz é Mekki Boussaha Pascal Croiseau Romain Philippe Mirjam Spengeler Christa K ühn Yining Wang Changxi Li Graham Plastow Hubert Pausch Didier Boichard Source Type: research
The mRNA-lncRNA landscape of multiple tissues uncovers key regulators and molecular pathways that underlie heterosis for feed intake and efficiency in laying chickens
CONCLUSIONS: Our results demonstrate that non-additively expressed genes and lncRNA involved in oxidative phosphorylation in the hypothalamus, liver, and duodenum mucosa are key regulators of the negative heterosis for feed intake and RFI in layer chickens. These findings should facilitate the rational choice of suitable parents for producing crossbred chickens.PMID:37803296 | PMC:PMC10559425 | DOI:10.1186/s12711-023-00834-x (Source: Genet Sel Evol)
Source: Genet Sel Evol - October 6, 2023 Category: Genetics & Stem Cells Authors: Jingwei Yuan Jinmeng Zhao Yanyan Sun Yuanmei Wang Yunlei Li Aixin Ni Yunhe Zong Hui Ma Panlin Wang Lei Shi Jilan Chen Source Type: research
The mRNA-lncRNA landscape of multiple tissues uncovers key regulators and molecular pathways that underlie heterosis for feed intake and efficiency in laying chickens
CONCLUSIONS: Our results demonstrate that non-additively expressed genes and lncRNA involved in oxidative phosphorylation in the hypothalamus, liver, and duodenum mucosa are key regulators of the negative heterosis for feed intake and RFI in layer chickens. These findings should facilitate the rational choice of suitable parents for producing crossbred chickens.PMID:37803296 | PMC:PMC10559425 | DOI:10.1186/s12711-023-00834-x (Source: Genet Sel Evol)
Source: Genet Sel Evol - October 6, 2023 Category: Genetics & Stem Cells Authors: Jingwei Yuan Jinmeng Zhao Yanyan Sun Yuanmei Wang Yunlei Li Aixin Ni Yunhe Zong Hui Ma Panlin Wang Lei Shi Jilan Chen Source Type: research
The mRNA-lncRNA landscape of multiple tissues uncovers key regulators and molecular pathways that underlie heterosis for feed intake and efficiency in laying chickens
CONCLUSIONS: Our results demonstrate that non-additively expressed genes and lncRNA involved in oxidative phosphorylation in the hypothalamus, liver, and duodenum mucosa are key regulators of the negative heterosis for feed intake and RFI in layer chickens. These findings should facilitate the rational choice of suitable parents for producing crossbred chickens.PMID:37803296 | PMC:PMC10559425 | DOI:10.1186/s12711-023-00834-x (Source: Genet Sel Evol)
Source: Genet Sel Evol - October 6, 2023 Category: Genetics & Stem Cells Authors: Jingwei Yuan Jinmeng Zhao Yanyan Sun Yuanmei Wang Yunlei Li Aixin Ni Yunhe Zong Hui Ma Panlin Wang Lei Shi Jilan Chen Source Type: research
The mRNA-lncRNA landscape of multiple tissues uncovers key regulators and molecular pathways that underlie heterosis for feed intake and efficiency in laying chickens
CONCLUSIONS: Our results demonstrate that non-additively expressed genes and lncRNA involved in oxidative phosphorylation in the hypothalamus, liver, and duodenum mucosa are key regulators of the negative heterosis for feed intake and RFI in layer chickens. These findings should facilitate the rational choice of suitable parents for producing crossbred chickens.PMID:37803296 | PMC:PMC10559425 | DOI:10.1186/s12711-023-00834-x (Source: Genet Sel Evol)
Source: Genet Sel Evol - October 6, 2023 Category: Genetics & Stem Cells Authors: Jingwei Yuan Jinmeng Zhao Yanyan Sun Yuanmei Wang Yunlei Li Aixin Ni Yunhe Zong Hui Ma Panlin Wang Lei Shi Jilan Chen Source Type: research
The mRNA-lncRNA landscape of multiple tissues uncovers key regulators and molecular pathways that underlie heterosis for feed intake and efficiency in laying chickens
CONCLUSIONS: Our results demonstrate that non-additively expressed genes and lncRNA involved in oxidative phosphorylation in the hypothalamus, liver, and duodenum mucosa are key regulators of the negative heterosis for feed intake and RFI in layer chickens. These findings should facilitate the rational choice of suitable parents for producing crossbred chickens.PMID:37803296 | DOI:10.1186/s12711-023-00834-x (Source: Genet Sel Evol)
Source: Genet Sel Evol - October 6, 2023 Category: Genetics & Stem Cells Authors: Jingwei Yuan Jinmeng Zhao Yanyan Sun Yuanmei Wang Yunlei Li Aixin Ni Yunhe Zong Hui Ma Panlin Wang Lei Shi Jilan Chen Source Type: research
Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes
Genet Sel Evol. 2023 Oct 3;55(1):68. doi: 10.1186/s12711-023-00838-7.ABSTRACTThe single-step approach has become the most widely-used methodology for genomic evaluations when only a subset of phenotyped individuals in the pedigree are genotyped, where the genotypes for non-genotyped individuals are imputed based on gene contents (i.e., genotypes) of genotyped individuals through their pedigree relationships. We proposed a new method named single-step neural network with mixed models (NNMM) to represent single-step genomic evaluations as a neural network of three sequential layers: pedigree, genotypes, and phenotypes. These...
Source: Genet Sel Evol - October 3, 2023 Category: Genetics & Stem Cells Authors: Tianjing Zhao Hao Cheng Source Type: research
Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes
Genet Sel Evol. 2023 Oct 3;55(1):68. doi: 10.1186/s12711-023-00838-7.ABSTRACTThe single-step approach has become the most widely-used methodology for genomic evaluations when only a subset of phenotyped individuals in the pedigree are genotyped, where the genotypes for non-genotyped individuals are imputed based on gene contents (i.e., genotypes) of genotyped individuals through their pedigree relationships. We proposed a new method named single-step neural network with mixed models (NNMM) to represent single-step genomic evaluations as a neural network of three sequential layers: pedigree, genotypes, and phenotypes. These...
Source: Genet Sel Evol - October 3, 2023 Category: Genetics & Stem Cells Authors: Tianjing Zhao Hao Cheng Source Type: research
Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes
Genet Sel Evol. 2023 Oct 3;55(1):68. doi: 10.1186/s12711-023-00838-7.ABSTRACTThe single-step approach has become the most widely-used methodology for genomic evaluations when only a subset of phenotyped individuals in the pedigree are genotyped, where the genotypes for non-genotyped individuals are imputed based on gene contents (i.e., genotypes) of genotyped individuals through their pedigree relationships. We proposed a new method named single-step neural network with mixed models (NNMM) to represent single-step genomic evaluations as a neural network of three sequential layers: pedigree, genotypes, and phenotypes. These...
Source: Genet Sel Evol - October 3, 2023 Category: Genetics & Stem Cells Authors: Tianjing Zhao Hao Cheng Source Type: research
Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis
CONCLUSIONS: We developed models to simulate and genetically analyse social behaviours for animals that are kept in large groups, anticipating the availability of large-scale longitudinal data in the near future. We obtained promising accuracies of EBV with ~ 100 interactions per individual, which would correspond to a few weeks of recording. Therefore, we conclude that animal breeding can be a promising strategy to improve social behaviours in livestock.PMID:37770844 | PMC:PMC10537099 | DOI:10.1186/s12711-023-00840-z (Source: Genet Sel Evol)
Source: Genet Sel Evol - September 28, 2023 Category: Genetics & Stem Cells Authors: Zhuoshi Wang Harmen Doekes Piter Bijma Source Type: research
Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis
CONCLUSIONS: We developed models to simulate and genetically analyse social behaviours for animals that are kept in large groups, anticipating the availability of large-scale longitudinal data in the near future. We obtained promising accuracies of EBV with ~ 100 interactions per individual, which would correspond to a few weeks of recording. Therefore, we conclude that animal breeding can be a promising strategy to improve social behaviours in livestock.PMID:37770844 | PMC:PMC10537099 | DOI:10.1186/s12711-023-00840-z (Source: Genet Sel Evol)
Source: Genet Sel Evol - September 28, 2023 Category: Genetics & Stem Cells Authors: Zhuoshi Wang Harmen Doekes Piter Bijma Source Type: research
Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis
CONCLUSIONS: We developed models to simulate and genetically analyse social behaviours for animals that are kept in large groups, anticipating the availability of large-scale longitudinal data in the near future. We obtained promising accuracies of EBV with ~ 100 interactions per individual, which would correspond to a few weeks of recording. Therefore, we conclude that animal breeding can be a promising strategy to improve social behaviours in livestock.PMID:37770844 | PMC:PMC10537099 | DOI:10.1186/s12711-023-00840-z (Source: Genet Sel Evol)
Source: Genet Sel Evol - September 28, 2023 Category: Genetics & Stem Cells Authors: Zhuoshi Wang Harmen Doekes Piter Bijma Source Type: research
Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis
CONCLUSIONS: We developed models to simulate and genetically analyse social behaviours for animals that are kept in large groups, anticipating the availability of large-scale longitudinal data in the near future. We obtained promising accuracies of EBV with ~ 100 interactions per individual, which would correspond to a few weeks of recording. Therefore, we conclude that animal breeding can be a promising strategy to improve social behaviours in livestock.PMID:37770844 | DOI:10.1186/s12711-023-00840-z (Source: Genet Sel Evol)
Source: Genet Sel Evol - September 28, 2023 Category: Genetics & Stem Cells Authors: Zhuoshi Wang Harmen Doekes Piter Bijma Source Type: research
Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis
CONCLUSIONS: We developed models to simulate and genetically analyse social behaviours for animals that are kept in large groups, anticipating the availability of large-scale longitudinal data in the near future. We obtained promising accuracies of EBV with ~ 100 interactions per individual, which would correspond to a few weeks of recording. Therefore, we conclude that animal breeding can be a promising strategy to improve social behaviours in livestock.PMID:37770844 | DOI:10.1186/s12711-023-00840-z (Source: Genet Sel Evol)
Source: Genet Sel Evol - September 28, 2023 Category: Genetics & Stem Cells Authors: Zhuoshi Wang Harmen Doekes Piter Bijma Source Type: research
