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Identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis
The comb of the male is an important secondary sexual characteristic. Although quantitative trait loci (QTLs) related to comb size have been identified, molecular mechanisms underlying this trait remain mostly unknown. In this study, RNA sequencing (RNA-seq) was employed to compare whole transcripto...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792444/ https://www.ncbi.nlm.nih.gov/pubmed/29386544 http://dx.doi.org/10.1038/s41598-018-20373-6 |
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author | Liu, Yifan Tu, Yunjie Zhang, Ming Ji, Gaige Wang, Kun Shan, Yanju Ju, Xiaojun Zhang, Di Shu, Jingting Zou, Jianmin |
author_facet | Liu, Yifan Tu, Yunjie Zhang, Ming Ji, Gaige Wang, Kun Shan, Yanju Ju, Xiaojun Zhang, Di Shu, Jingting Zou, Jianmin |
author_sort | Liu, Yifan |
collection | PubMed |
description | The comb of the male is an important secondary sexual characteristic. Although quantitative trait loci (QTLs) related to comb size have been identified, molecular mechanisms underlying this trait remain mostly unknown. In this study, RNA sequencing (RNA-seq) was employed to compare whole transcriptomic differences between two groups of Partridge Shank chickens that are divergent in comb sizes. A total of 563 differentially expressed genes (DEGs) were identified, including 277 up-regulated and 286 down-regulated DEGs. According to the animal QTL database, eight DEGs including BMP2 and CHADL matching the reported QTLs were associated with the comb size. Functional annotation analysis revealed that DEGs were involved in cell communication and calcium signaling. Protein-protein interaction network analysis showed that STK32A, PIK3R1, EDN1, HSPA5, and HSPA8 have an impact on comb growth. Moreover, potential alternative splicing events and single nucleotide polymorphisms were also identified. Our data provide a source for identifying genes and pathways with functions critical to comb size and accelerate studies involving molecular mechanisms of this sexual ornament. |
format | Online Article Text |
id | pubmed-5792444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57924442018-02-12 Identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis Liu, Yifan Tu, Yunjie Zhang, Ming Ji, Gaige Wang, Kun Shan, Yanju Ju, Xiaojun Zhang, Di Shu, Jingting Zou, Jianmin Sci Rep Article The comb of the male is an important secondary sexual characteristic. Although quantitative trait loci (QTLs) related to comb size have been identified, molecular mechanisms underlying this trait remain mostly unknown. In this study, RNA sequencing (RNA-seq) was employed to compare whole transcriptomic differences between two groups of Partridge Shank chickens that are divergent in comb sizes. A total of 563 differentially expressed genes (DEGs) were identified, including 277 up-regulated and 286 down-regulated DEGs. According to the animal QTL database, eight DEGs including BMP2 and CHADL matching the reported QTLs were associated with the comb size. Functional annotation analysis revealed that DEGs were involved in cell communication and calcium signaling. Protein-protein interaction network analysis showed that STK32A, PIK3R1, EDN1, HSPA5, and HSPA8 have an impact on comb growth. Moreover, potential alternative splicing events and single nucleotide polymorphisms were also identified. Our data provide a source for identifying genes and pathways with functions critical to comb size and accelerate studies involving molecular mechanisms of this sexual ornament. Nature Publishing Group UK 2018-01-31 /pmc/articles/PMC5792444/ /pubmed/29386544 http://dx.doi.org/10.1038/s41598-018-20373-6 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Yifan Tu, Yunjie Zhang, Ming Ji, Gaige Wang, Kun Shan, Yanju Ju, Xiaojun Zhang, Di Shu, Jingting Zou, Jianmin Identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis |
title | Identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis |
title_full | Identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis |
title_fullStr | Identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis |
title_full_unstemmed | Identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis |
title_short | Identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis |
title_sort | identification of molecular pathways and candidate genes associated with cocks’ comb size trait by genome-wide transcriptome analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792444/ https://www.ncbi.nlm.nih.gov/pubmed/29386544 http://dx.doi.org/10.1038/s41598-018-20373-6 |
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