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Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens
BACKGROUND: Changshun green-shell laying hens are unique to Guizhou Province, China, and have high egg quality. Improving egg production performance has become an important breeding task, and in recent years, the development of high-throughput sequencing technology provides a fast and exact method f...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122536/ https://www.ncbi.nlm.nih.gov/pubmed/33990173 http://dx.doi.org/10.1186/s12864-021-07688-x |
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author | Mu, Ren Yu, Yi-yin Gegen, Tuya Wen, Di Wang, Fen Chen, Zhi Xu, Wen-bin |
author_facet | Mu, Ren Yu, Yi-yin Gegen, Tuya Wen, Di Wang, Fen Chen, Zhi Xu, Wen-bin |
author_sort | Mu, Ren |
collection | PubMed |
description | BACKGROUND: Changshun green-shell laying hens are unique to Guizhou Province, China, and have high egg quality. Improving egg production performance has become an important breeding task, and in recent years, the development of high-throughput sequencing technology provides a fast and exact method for genetic selection. Therefore, we aimed to use this technology to analyze the differences between the ovarian mRNA transcriptome of low and high-yield Changshun green-shell layer hens, identify critical pathways and candidate genes involved in controlling the egg production rate, and provide basic data for layer breeding. RESULTS: The egg production rates of the low egg production group (LP) and the high egg production group (HP) were 68.00 ± 5.56 % and 93.67 ± 7.09 %, with significant differences between the groups (p < 0.01). Moreover, the egg weight, shell thickness, strength and layer weight of the LP were significantly greater than those of the HP (p < 0.05). More than 41 million clean reads per sample were obtained, and more than 90 % of the clean reads were mapped to the Gallus gallus genome. Further analysis identified 142 differentially expressed genes (DEGs), and among them, 55 were upregulated and 87 were downregulated in the ovaries. KEGG pathway enrichment analysis identified 9 significantly enriched pathways, with the neuroactive ligand-receptor interaction pathway being the most enriched. GO enrichment analysis indicated that the GO term transmembrane receptor protein tyrosine kinase activity, and the DEGs identified in this GO term, including PRLR, NRP1, IL15, BANK1, NTRK1, CCK, and HGF may be associated with crucial roles in the regulation of egg production. CONCLUSIONS: The above-mentioned DEGs may be relevant for the molecular breeding of Changshun green-shell laying hens. Moreover, enrichment analysis indicated that the neuroactive ligand-receptor interaction pathway and receptor protein tyrosine kinases may play crucial roles in the regulation of ovarian function and egg production. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07688-x. |
format | Online Article Text |
id | pubmed-8122536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81225362021-05-17 Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens Mu, Ren Yu, Yi-yin Gegen, Tuya Wen, Di Wang, Fen Chen, Zhi Xu, Wen-bin BMC Genomics Research BACKGROUND: Changshun green-shell laying hens are unique to Guizhou Province, China, and have high egg quality. Improving egg production performance has become an important breeding task, and in recent years, the development of high-throughput sequencing technology provides a fast and exact method for genetic selection. Therefore, we aimed to use this technology to analyze the differences between the ovarian mRNA transcriptome of low and high-yield Changshun green-shell layer hens, identify critical pathways and candidate genes involved in controlling the egg production rate, and provide basic data for layer breeding. RESULTS: The egg production rates of the low egg production group (LP) and the high egg production group (HP) were 68.00 ± 5.56 % and 93.67 ± 7.09 %, with significant differences between the groups (p < 0.01). Moreover, the egg weight, shell thickness, strength and layer weight of the LP were significantly greater than those of the HP (p < 0.05). More than 41 million clean reads per sample were obtained, and more than 90 % of the clean reads were mapped to the Gallus gallus genome. Further analysis identified 142 differentially expressed genes (DEGs), and among them, 55 were upregulated and 87 were downregulated in the ovaries. KEGG pathway enrichment analysis identified 9 significantly enriched pathways, with the neuroactive ligand-receptor interaction pathway being the most enriched. GO enrichment analysis indicated that the GO term transmembrane receptor protein tyrosine kinase activity, and the DEGs identified in this GO term, including PRLR, NRP1, IL15, BANK1, NTRK1, CCK, and HGF may be associated with crucial roles in the regulation of egg production. CONCLUSIONS: The above-mentioned DEGs may be relevant for the molecular breeding of Changshun green-shell laying hens. Moreover, enrichment analysis indicated that the neuroactive ligand-receptor interaction pathway and receptor protein tyrosine kinases may play crucial roles in the regulation of ovarian function and egg production. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07688-x. BioMed Central 2021-05-14 /pmc/articles/PMC8122536/ /pubmed/33990173 http://dx.doi.org/10.1186/s12864-021-07688-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Mu, Ren Yu, Yi-yin Gegen, Tuya Wen, Di Wang, Fen Chen, Zhi Xu, Wen-bin Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens |
title | Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens |
title_full | Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens |
title_fullStr | Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens |
title_full_unstemmed | Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens |
title_short | Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens |
title_sort | transcriptome analysis of ovary tissues from low- and high-yielding changshun green-shell laying hens |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122536/ https://www.ncbi.nlm.nih.gov/pubmed/33990173 http://dx.doi.org/10.1186/s12864-021-07688-x |
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