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Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis
BACKGROUND: Improving feed efficiency is one of the important breeding targets for poultry industry. The aim of current study was to investigate the breast muscle transcriptome data of native chickens divergent for feed efficiency. Residual feed intake (RFI) value was calculated for 1008 closely rel...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146967/ https://www.ncbi.nlm.nih.gov/pubmed/32272881 http://dx.doi.org/10.1186/s12864-020-6713-y |
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author | Yang, Lei He, Tingting Xiong, Fengliang Chen, Xianzhen Fan, Xinfeng Jin, Sihua Geng, Zhaoyu |
author_facet | Yang, Lei He, Tingting Xiong, Fengliang Chen, Xianzhen Fan, Xinfeng Jin, Sihua Geng, Zhaoyu |
author_sort | Yang, Lei |
collection | PubMed |
description | BACKGROUND: Improving feed efficiency is one of the important breeding targets for poultry industry. The aim of current study was to investigate the breast muscle transcriptome data of native chickens divergent for feed efficiency. Residual feed intake (RFI) value was calculated for 1008 closely related chickens. The 5 most efficient (LRFI) and 5 least efficient (HRFI) birds were selected for further analysis. Transcriptomic data were generated from breast muscle collected post-slaughter. RESULTS: The differently expressed genes (DEGs) analysis showed that 24 and 325 known genes were significantly up- and down-regulated in LRFI birds. An enrichment analysis of DEGs showed that the genes and pathways related to inflammatory response and immune response were up-regulated in HRFI chickens. Moreover, Gene Set Enrichment Analysis (GSEA) was also employed, which indicated that LRFI chickens increased expression of genes related to mitochondrial function. Furthermore, protein network interaction and function analyses revealed ND2, ND4, CYTB, RAC2, VCAM1, CTSS and TLR4 were key genes for feed efficiency. And the ‘phagosome’, ‘cell adhesion molecules (CAMs)’, ‘citrate cycle (TCA cycle)’ and ‘oxidative phosphorylation’ were key pathways contributing to the difference in feed efficiency. CONCLUSIONS: In summary, a series of key genes and pathways were identified via bioinformatics analysis. These key genes may influence feed efficiency through deep involvement in ROS production and inflammatory response. Our results suggested that LRFI chickens may synthesize ATP more efficiently and control reactive oxygen species (ROS) production more strictly by enhancing the mitochondrial function in skeletal muscle compared with HRFI chickens. These findings provide some clues for understanding the molecular mechanism of feed efficiency in birds and will be a useful reference data for native chicken breeding. |
format | Online Article Text |
id | pubmed-7146967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71469672020-04-18 Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis Yang, Lei He, Tingting Xiong, Fengliang Chen, Xianzhen Fan, Xinfeng Jin, Sihua Geng, Zhaoyu BMC Genomics Research Article BACKGROUND: Improving feed efficiency is one of the important breeding targets for poultry industry. The aim of current study was to investigate the breast muscle transcriptome data of native chickens divergent for feed efficiency. Residual feed intake (RFI) value was calculated for 1008 closely related chickens. The 5 most efficient (LRFI) and 5 least efficient (HRFI) birds were selected for further analysis. Transcriptomic data were generated from breast muscle collected post-slaughter. RESULTS: The differently expressed genes (DEGs) analysis showed that 24 and 325 known genes were significantly up- and down-regulated in LRFI birds. An enrichment analysis of DEGs showed that the genes and pathways related to inflammatory response and immune response were up-regulated in HRFI chickens. Moreover, Gene Set Enrichment Analysis (GSEA) was also employed, which indicated that LRFI chickens increased expression of genes related to mitochondrial function. Furthermore, protein network interaction and function analyses revealed ND2, ND4, CYTB, RAC2, VCAM1, CTSS and TLR4 were key genes for feed efficiency. And the ‘phagosome’, ‘cell adhesion molecules (CAMs)’, ‘citrate cycle (TCA cycle)’ and ‘oxidative phosphorylation’ were key pathways contributing to the difference in feed efficiency. CONCLUSIONS: In summary, a series of key genes and pathways were identified via bioinformatics analysis. These key genes may influence feed efficiency through deep involvement in ROS production and inflammatory response. Our results suggested that LRFI chickens may synthesize ATP more efficiently and control reactive oxygen species (ROS) production more strictly by enhancing the mitochondrial function in skeletal muscle compared with HRFI chickens. These findings provide some clues for understanding the molecular mechanism of feed efficiency in birds and will be a useful reference data for native chicken breeding. BioMed Central 2020-04-09 /pmc/articles/PMC7146967/ /pubmed/32272881 http://dx.doi.org/10.1186/s12864-020-6713-y 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 Yang, Lei He, Tingting Xiong, Fengliang Chen, Xianzhen Fan, Xinfeng Jin, Sihua Geng, Zhaoyu Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis |
title | Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis |
title_full | Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis |
title_fullStr | Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis |
title_full_unstemmed | Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis |
title_short | Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis |
title_sort | identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146967/ https://www.ncbi.nlm.nih.gov/pubmed/32272881 http://dx.doi.org/10.1186/s12864-020-6713-y |
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