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RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens
Eggs with a much higher proportion of thick albumen are preferred in the layer industry, as they are favoured by consumers. However, the genetic factors affecting the thick egg albumen trait have not been elucidated. Using RNA sequencing, we explored the magnum transcriptome in 9 Rhode Island white...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5741707/ https://www.ncbi.nlm.nih.gov/pubmed/29273734 http://dx.doi.org/10.1038/s41598-017-18389-5 |
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author | Wan, Yi Jin, Sihua Ma, Chendong Wang, Zhicheng Fang, Qi Jiang, Runshen |
author_facet | Wan, Yi Jin, Sihua Ma, Chendong Wang, Zhicheng Fang, Qi Jiang, Runshen |
author_sort | Wan, Yi |
collection | PubMed |
description | Eggs with a much higher proportion of thick albumen are preferred in the layer industry, as they are favoured by consumers. However, the genetic factors affecting the thick egg albumen trait have not been elucidated. Using RNA sequencing, we explored the magnum transcriptome in 9 Rhode Island white layers: four layers with phenotypes of extremely high ratios of thick to thin albumen (high thick albumen, HTA) and five with extremely low ratios (low thick albumen, LTA). A total of 220 genes were differentially expressed, among which 150 genes were up-regulated and 70 were down-regulated in the HTA group compared with the LTA group. Gene Ontology (GO) analysis revealed that the up-regulated genes in HTA were mainly involved in a wide range of regulatory functions. In addition, a large number of these genes were related to glycosphingolipid biosynthesis, focal adhesion, ECM-receptor interactions and cytokine-cytokine receptor interactions. Based on functional analysis, ST3GAL4, FUT4, ITGA2, SDC3, PRLR, CDH4 and GALNT9 were identified as promising candidate genes for thick albumen synthesis and metabolism during egg formation. These results provide new insights into the molecular mechanisms of egg albumen traits and may contribute to future breeding strategies that optimise the proportion of thick egg albumen. |
format | Online Article Text |
id | pubmed-5741707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57417072018-01-03 RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens Wan, Yi Jin, Sihua Ma, Chendong Wang, Zhicheng Fang, Qi Jiang, Runshen Sci Rep Article Eggs with a much higher proportion of thick albumen are preferred in the layer industry, as they are favoured by consumers. However, the genetic factors affecting the thick egg albumen trait have not been elucidated. Using RNA sequencing, we explored the magnum transcriptome in 9 Rhode Island white layers: four layers with phenotypes of extremely high ratios of thick to thin albumen (high thick albumen, HTA) and five with extremely low ratios (low thick albumen, LTA). A total of 220 genes were differentially expressed, among which 150 genes were up-regulated and 70 were down-regulated in the HTA group compared with the LTA group. Gene Ontology (GO) analysis revealed that the up-regulated genes in HTA were mainly involved in a wide range of regulatory functions. In addition, a large number of these genes were related to glycosphingolipid biosynthesis, focal adhesion, ECM-receptor interactions and cytokine-cytokine receptor interactions. Based on functional analysis, ST3GAL4, FUT4, ITGA2, SDC3, PRLR, CDH4 and GALNT9 were identified as promising candidate genes for thick albumen synthesis and metabolism during egg formation. These results provide new insights into the molecular mechanisms of egg albumen traits and may contribute to future breeding strategies that optimise the proportion of thick egg albumen. Nature Publishing Group UK 2017-12-22 /pmc/articles/PMC5741707/ /pubmed/29273734 http://dx.doi.org/10.1038/s41598-017-18389-5 Text en © The Author(s) 2017 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 Wan, Yi Jin, Sihua Ma, Chendong Wang, Zhicheng Fang, Qi Jiang, Runshen RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens |
title | RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens |
title_full | RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens |
title_fullStr | RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens |
title_full_unstemmed | RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens |
title_short | RNA-Seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens |
title_sort | rna-seq reveals seven promising candidate genes affecting the proportion of thick egg albumen in layer-type chickens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5741707/ https://www.ncbi.nlm.nih.gov/pubmed/29273734 http://dx.doi.org/10.1038/s41598-017-18389-5 |
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