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Comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using RNA-Seq

BACKGROUND: A multitude of genes tightly regulate ovarian follicular development and hormone secretion. These complex and coordinated biological processes are altered during pregnancy. In order to further understand the regulatory role of these genes during pregnancy, it is important to screen the d...

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Autores principales: Quan, Qing, Zheng, Qi, Ling, Yinghui, Fang, Fugui, Chu, Mingxing, Zhang, Xiaorong, Liu, Yong, Li, Wenyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503366/
https://www.ncbi.nlm.nih.gov/pubmed/31080783
http://dx.doi.org/10.1186/s40709-019-0095-9
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author Quan, Qing
Zheng, Qi
Ling, Yinghui
Fang, Fugui
Chu, Mingxing
Zhang, Xiaorong
Liu, Yong
Li, Wenyong
author_facet Quan, Qing
Zheng, Qi
Ling, Yinghui
Fang, Fugui
Chu, Mingxing
Zhang, Xiaorong
Liu, Yong
Li, Wenyong
author_sort Quan, Qing
collection PubMed
description BACKGROUND: A multitude of genes tightly regulate ovarian follicular development and hormone secretion. These complex and coordinated biological processes are altered during pregnancy. In order to further understand the regulatory role of these genes during pregnancy, it is important to screen the differentially expressed genes (DEGs) in the ovaries of pregnant and nonpregnant mammals. To detect the genes associated with the development of pregnancy in goats, DEGs from the ovaries from pregnant and nonpregnant Anhui white goats (pAWGs and nAWGs, respectively) were analyzed using RNA sequencing technology (RNA-Seq). RESULTS: In this study, 13,676,394 and 13,549,560 clean reads were generated from pAWGs and nAWGs, respectively, and 1724 DEGs were identified between the two libraries. Compared with nAWGs, 1033 genes were upregulated and 691 genes were downregulated in pAWGs, including PGR, PRLR, STAR and CYP19A1, which play important roles in goat reproduction. Gene Ontology analysis showed that the DEGs were enriched for 49 functional GO terms. Kyoto Encyclopedia of Genes and Genomes analysis revealed that 397 DEGs were significantly enriched in 13 pathways, including “cell cycle”, “cytokine–cytokine receptor interaction” and “steroid biosynthesis”, suggesting that the genes may be associated with cell cycle regulation, follicular development and hormone secretion to regulate the reproduction process. Additionally, quantitative real-time PCR was used to verify the reliability of the RNA-Seq data. CONCLUSIONS: The data obtained in this work enrich the genetic resources of goat and provide a further understanding of the complex molecular regulatory mechanisms occurring during the development of pregnancy and reproduction in goats. The DEGs screened in this study may play an important role in follicular development and hormone secretion and they would provide scientific basis for related research in the future. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40709-019-0095-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-65033662019-05-10 Comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using RNA-Seq Quan, Qing Zheng, Qi Ling, Yinghui Fang, Fugui Chu, Mingxing Zhang, Xiaorong Liu, Yong Li, Wenyong J Biol Res (Thessalon) Research BACKGROUND: A multitude of genes tightly regulate ovarian follicular development and hormone secretion. These complex and coordinated biological processes are altered during pregnancy. In order to further understand the regulatory role of these genes during pregnancy, it is important to screen the differentially expressed genes (DEGs) in the ovaries of pregnant and nonpregnant mammals. To detect the genes associated with the development of pregnancy in goats, DEGs from the ovaries from pregnant and nonpregnant Anhui white goats (pAWGs and nAWGs, respectively) were analyzed using RNA sequencing technology (RNA-Seq). RESULTS: In this study, 13,676,394 and 13,549,560 clean reads were generated from pAWGs and nAWGs, respectively, and 1724 DEGs were identified between the two libraries. Compared with nAWGs, 1033 genes were upregulated and 691 genes were downregulated in pAWGs, including PGR, PRLR, STAR and CYP19A1, which play important roles in goat reproduction. Gene Ontology analysis showed that the DEGs were enriched for 49 functional GO terms. Kyoto Encyclopedia of Genes and Genomes analysis revealed that 397 DEGs were significantly enriched in 13 pathways, including “cell cycle”, “cytokine–cytokine receptor interaction” and “steroid biosynthesis”, suggesting that the genes may be associated with cell cycle regulation, follicular development and hormone secretion to regulate the reproduction process. Additionally, quantitative real-time PCR was used to verify the reliability of the RNA-Seq data. CONCLUSIONS: The data obtained in this work enrich the genetic resources of goat and provide a further understanding of the complex molecular regulatory mechanisms occurring during the development of pregnancy and reproduction in goats. The DEGs screened in this study may play an important role in follicular development and hormone secretion and they would provide scientific basis for related research in the future. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40709-019-0095-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-06 /pmc/articles/PMC6503366/ /pubmed/31080783 http://dx.doi.org/10.1186/s40709-019-0095-9 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.
spellingShingle Research
Quan, Qing
Zheng, Qi
Ling, Yinghui
Fang, Fugui
Chu, Mingxing
Zhang, Xiaorong
Liu, Yong
Li, Wenyong
Comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using RNA-Seq
title Comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using RNA-Seq
title_full Comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using RNA-Seq
title_fullStr Comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using RNA-Seq
title_full_unstemmed Comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using RNA-Seq
title_short Comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using RNA-Seq
title_sort comparative analysis of differentially expressed genes between the ovaries from pregnant and nonpregnant goats using rna-seq
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503366/
https://www.ncbi.nlm.nih.gov/pubmed/31080783
http://dx.doi.org/10.1186/s40709-019-0095-9
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