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Comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates

Egg-laying performance is one of the most important economic traits in the poultry industry. Commercial layers can lay one egg almost every day during their peak-laying period. However, many Chinese indigenous chicken breeds show a relatively low egg-laying rate, even during their peak-laying period...

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Autores principales: Ma, Zheng, Jiang, Keren, Wang, Dandan, Wang, Zhang, Gu, Zhenzhen, Li, Guoxi, Jiang, Ruirui, Tian, Yadong, Kang, Xiangtao, Li, Hong, Liu, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187251/
https://www.ncbi.nlm.nih.gov/pubmed/34102485
http://dx.doi.org/10.1016/j.psj.2021.101110
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author Ma, Zheng
Jiang, Keren
Wang, Dandan
Wang, Zhang
Gu, Zhenzhen
Li, Guoxi
Jiang, Ruirui
Tian, Yadong
Kang, Xiangtao
Li, Hong
Liu, Xiaojun
author_facet Ma, Zheng
Jiang, Keren
Wang, Dandan
Wang, Zhang
Gu, Zhenzhen
Li, Guoxi
Jiang, Ruirui
Tian, Yadong
Kang, Xiangtao
Li, Hong
Liu, Xiaojun
author_sort Ma, Zheng
collection PubMed
description Egg-laying performance is one of the most important economic traits in the poultry industry. Commercial layers can lay one egg almost every day during their peak-laying period. However, many Chinese indigenous chicken breeds show a relatively low egg-laying rate, even during their peak-laying period. To understand what makes the difference in egg production, we compared the hypothalamus transcriptome profiles of Lushi blue-shelled-egg chickens (LBS), a Chinese indigenous breed with low egg-laying rate and Rhode Island Red chickens (RIR), a commercial layer with relatively high egg-laying rate using RNA-seq. A total of 753 differentially expressed genes (DEGs) were obtained. Of these DEGs, 38 genes were enriched in 2 Gene Ontology (GO) terms, namely reproduction term and the reproductive process term, and 6 KEGG pathways, namely Wnt signaling pathway, Oocyte meiosis, GnRH signaling pathway, Thyroid hormone signaling pathway, Thyroid hormone synthesis and MAPK signaling pathway, which have been long known to be involved in egg production regulation. To further determine the core genes from the 38 DEGs, protein-protein interaction (PPI) network, co-expression network and transcriptional regulatory network analyses were carried out. After integrated analysis and experimental validation, 4 core genes including RAC1, MRE11A, MAP7 and SOX5 were identified as the potential core genes that are responsible for the laying-rate difference between the 2 breeds. These findings paved the way for future investigating the mechanism of egg-laying regulation and enriched the chicken reproductive regulation theory.
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spelling pubmed-81872512021-06-16 Comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates Ma, Zheng Jiang, Keren Wang, Dandan Wang, Zhang Gu, Zhenzhen Li, Guoxi Jiang, Ruirui Tian, Yadong Kang, Xiangtao Li, Hong Liu, Xiaojun Poult Sci GENETICS AND MOLECULAR BIOLOGY Egg-laying performance is one of the most important economic traits in the poultry industry. Commercial layers can lay one egg almost every day during their peak-laying period. However, many Chinese indigenous chicken breeds show a relatively low egg-laying rate, even during their peak-laying period. To understand what makes the difference in egg production, we compared the hypothalamus transcriptome profiles of Lushi blue-shelled-egg chickens (LBS), a Chinese indigenous breed with low egg-laying rate and Rhode Island Red chickens (RIR), a commercial layer with relatively high egg-laying rate using RNA-seq. A total of 753 differentially expressed genes (DEGs) were obtained. Of these DEGs, 38 genes were enriched in 2 Gene Ontology (GO) terms, namely reproduction term and the reproductive process term, and 6 KEGG pathways, namely Wnt signaling pathway, Oocyte meiosis, GnRH signaling pathway, Thyroid hormone signaling pathway, Thyroid hormone synthesis and MAPK signaling pathway, which have been long known to be involved in egg production regulation. To further determine the core genes from the 38 DEGs, protein-protein interaction (PPI) network, co-expression network and transcriptional regulatory network analyses were carried out. After integrated analysis and experimental validation, 4 core genes including RAC1, MRE11A, MAP7 and SOX5 were identified as the potential core genes that are responsible for the laying-rate difference between the 2 breeds. These findings paved the way for future investigating the mechanism of egg-laying regulation and enriched the chicken reproductive regulation theory. Elsevier 2021-03-11 /pmc/articles/PMC8187251/ /pubmed/34102485 http://dx.doi.org/10.1016/j.psj.2021.101110 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle GENETICS AND MOLECULAR BIOLOGY
Ma, Zheng
Jiang, Keren
Wang, Dandan
Wang, Zhang
Gu, Zhenzhen
Li, Guoxi
Jiang, Ruirui
Tian, Yadong
Kang, Xiangtao
Li, Hong
Liu, Xiaojun
Comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates
title Comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates
title_full Comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates
title_fullStr Comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates
title_full_unstemmed Comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates
title_short Comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates
title_sort comparative analysis of hypothalamus transcriptome between laying hens with different egg-laying rates
topic GENETICS AND MOLECULAR BIOLOGY
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187251/
https://www.ncbi.nlm.nih.gov/pubmed/34102485
http://dx.doi.org/10.1016/j.psj.2021.101110
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