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RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population

Fatty acids metabolic products determine meat quality in chickens. Identifying genes associated with fatty acids composition could provide valuable information for the complex genetic networks of genes with underlying variations in fatty acids synthesis. RNA sequencing (RNA-Seq) was conducted to exp...

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Autores principales: Yang, Shaohua, Wang, Ying, Wang, Lulu, Shi, Zhaoyuan, Ou, Xiaoqian, Wu, Dan, Zhang, Xinmiao, Hu, Hao, Yuan, Jia, Wang, Wei, Cao, Fuhu, Liu, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908183/
https://www.ncbi.nlm.nih.gov/pubmed/29672513
http://dx.doi.org/10.1371/journal.pone.0195132
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author Yang, Shaohua
Wang, Ying
Wang, Lulu
Shi, Zhaoyuan
Ou, Xiaoqian
Wu, Dan
Zhang, Xinmiao
Hu, Hao
Yuan, Jia
Wang, Wei
Cao, Fuhu
Liu, Guoqing
author_facet Yang, Shaohua
Wang, Ying
Wang, Lulu
Shi, Zhaoyuan
Ou, Xiaoqian
Wu, Dan
Zhang, Xinmiao
Hu, Hao
Yuan, Jia
Wang, Wei
Cao, Fuhu
Liu, Guoqing
author_sort Yang, Shaohua
collection PubMed
description Fatty acids metabolic products determine meat quality in chickens. Identifying genes associated with fatty acids composition could provide valuable information for the complex genetic networks of genes with underlying variations in fatty acids synthesis. RNA sequencing (RNA-Seq) was conducted to explore the chicken transcriptome from the thigh muscle tissue of 6 Huangshan Black Chickens with 3 extremely high and low phenotypic values for percentage of polyunsaturated fatty acids (PUFAs). In total, we obtained 41,139,108–44,901,729 uniquely mapped reads, which covered 74.15% of the current annotated transcripts including 18964 mRNA transcripts, across all the six thigh muscle tissue samples. Of these, we revealed 274 differentially expressed genes (DEGs) with a highly significant correlation with polyunsaturated fatty acids percentage between the comparison groups based on the ratio of PUFA/SFA. Gene ontology and pathway analysis indicated that the DEGs were enriched in particular biological processes affecting fatty acids metabolism, biosynthesis of unsaturated fatty acids (USFAs), and cell junction-related pathways. Integrated interpretation of differential gene expression and formerly reported quantitative trait loci (QTL) demonstrated that FADS2, DCN, FRZB, OGN, PRKAG3, LHFP, CHCHD10, CYTL1, FBLN5, and ADGRD1 are the most promising candidate genes affecting polyunsaturated fatty acids percentage.
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spelling pubmed-59081832018-05-06 RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population Yang, Shaohua Wang, Ying Wang, Lulu Shi, Zhaoyuan Ou, Xiaoqian Wu, Dan Zhang, Xinmiao Hu, Hao Yuan, Jia Wang, Wei Cao, Fuhu Liu, Guoqing PLoS One Research Article Fatty acids metabolic products determine meat quality in chickens. Identifying genes associated with fatty acids composition could provide valuable information for the complex genetic networks of genes with underlying variations in fatty acids synthesis. RNA sequencing (RNA-Seq) was conducted to explore the chicken transcriptome from the thigh muscle tissue of 6 Huangshan Black Chickens with 3 extremely high and low phenotypic values for percentage of polyunsaturated fatty acids (PUFAs). In total, we obtained 41,139,108–44,901,729 uniquely mapped reads, which covered 74.15% of the current annotated transcripts including 18964 mRNA transcripts, across all the six thigh muscle tissue samples. Of these, we revealed 274 differentially expressed genes (DEGs) with a highly significant correlation with polyunsaturated fatty acids percentage between the comparison groups based on the ratio of PUFA/SFA. Gene ontology and pathway analysis indicated that the DEGs were enriched in particular biological processes affecting fatty acids metabolism, biosynthesis of unsaturated fatty acids (USFAs), and cell junction-related pathways. Integrated interpretation of differential gene expression and formerly reported quantitative trait loci (QTL) demonstrated that FADS2, DCN, FRZB, OGN, PRKAG3, LHFP, CHCHD10, CYTL1, FBLN5, and ADGRD1 are the most promising candidate genes affecting polyunsaturated fatty acids percentage. Public Library of Science 2018-04-19 /pmc/articles/PMC5908183/ /pubmed/29672513 http://dx.doi.org/10.1371/journal.pone.0195132 Text en © 2018 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Shaohua
Wang, Ying
Wang, Lulu
Shi, Zhaoyuan
Ou, Xiaoqian
Wu, Dan
Zhang, Xinmiao
Hu, Hao
Yuan, Jia
Wang, Wei
Cao, Fuhu
Liu, Guoqing
RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population
title RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population
title_full RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population
title_fullStr RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population
title_full_unstemmed RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population
title_short RNA-Seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the Huangshan Black chicken population
title_sort rna-seq reveals differentially expressed genes affecting polyunsaturated fatty acids percentage in the huangshan black chicken population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908183/
https://www.ncbi.nlm.nih.gov/pubmed/29672513
http://dx.doi.org/10.1371/journal.pone.0195132
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