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Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows

BACKGROUND: Improving sow fertility is extremely important as it can lead to increased reproductive efficiency and thus profitability for swine producers. There are considerable differences in fertility rates among individual animals, but the underlying molecular mechanisms remain unclear. In this s...

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Autores principales: Hu, Huiyan, Jia, Qing, Xi, Jianzhong, Zhou, Bo, Li, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490888/
https://www.ncbi.nlm.nih.gov/pubmed/32928107
http://dx.doi.org/10.1186/s12864-020-07055-2
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author Hu, Huiyan
Jia, Qing
Xi, Jianzhong
Zhou, Bo
Li, Zhiqiang
author_facet Hu, Huiyan
Jia, Qing
Xi, Jianzhong
Zhou, Bo
Li, Zhiqiang
author_sort Hu, Huiyan
collection PubMed
description BACKGROUND: Improving sow fertility is extremely important as it can lead to increased reproductive efficiency and thus profitability for swine producers. There are considerable differences in fertility rates among individual animals, but the underlying molecular mechanisms remain unclear. In this study, by using different types of RNA libraries, we investigated the complete transcriptome of ovarian tissue during the luteal (L) and follicular (F) phases of the estrous cycle in Large White pigs with high (H) and low (L) fecundity, and performed a comprehensive analysis of long noncoding RNAs (lncRNAs), mRNAs and micro RNAs (miRNAs) from 16 samples by combining RNA sequencing (RNA-seq) with bioinformatics. RESULTS: In total, 24,447 lncRNAs, 27,370 mRNAs, and 216 known miRNAs were identified in ovarian tissues. The genomic features of lncRNAs, such as length distribution and number of exons, were further analyzed. We selected a threshold of P < 0.05 and |log(2) (fold change)| ≥ 1 to obtain the differentially expressed lncRNAs, miRNAs and mRNAs by pairwise comparison (LH vs. LL, FH vs. FL). Bioinformatics analysis of these differentially expressed RNAs revealed multiple significantly enriched pathways (P < 0.05) that were closely involved in the reproductive process, such as ovarian steroidogenesis, lysosome, steroid biosynthesis, and the estrogen and GnRH signaling pathways. Moreover, bioinformatics screening of differentially expressed miRNAs that share common miRNA response elements (MREs) with lncRNAs and their downstream mRNA targets were performed. Finally, we constructed lncRNA–miRNA–mRNA regulation networks. The key genes in these networks were verified by Reverse Transcription Real-time Quantitative PCR (RT-qRCR), which were consistent with the results from RNA-Seq data. CONCLUSIONS: These results provide further insights into the fertility of pigs andcan contribute to further experimental investigation of the functions of these genes.
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spelling pubmed-74908882020-09-16 Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows Hu, Huiyan Jia, Qing Xi, Jianzhong Zhou, Bo Li, Zhiqiang BMC Genomics Research Article BACKGROUND: Improving sow fertility is extremely important as it can lead to increased reproductive efficiency and thus profitability for swine producers. There are considerable differences in fertility rates among individual animals, but the underlying molecular mechanisms remain unclear. In this study, by using different types of RNA libraries, we investigated the complete transcriptome of ovarian tissue during the luteal (L) and follicular (F) phases of the estrous cycle in Large White pigs with high (H) and low (L) fecundity, and performed a comprehensive analysis of long noncoding RNAs (lncRNAs), mRNAs and micro RNAs (miRNAs) from 16 samples by combining RNA sequencing (RNA-seq) with bioinformatics. RESULTS: In total, 24,447 lncRNAs, 27,370 mRNAs, and 216 known miRNAs were identified in ovarian tissues. The genomic features of lncRNAs, such as length distribution and number of exons, were further analyzed. We selected a threshold of P < 0.05 and |log(2) (fold change)| ≥ 1 to obtain the differentially expressed lncRNAs, miRNAs and mRNAs by pairwise comparison (LH vs. LL, FH vs. FL). Bioinformatics analysis of these differentially expressed RNAs revealed multiple significantly enriched pathways (P < 0.05) that were closely involved in the reproductive process, such as ovarian steroidogenesis, lysosome, steroid biosynthesis, and the estrogen and GnRH signaling pathways. Moreover, bioinformatics screening of differentially expressed miRNAs that share common miRNA response elements (MREs) with lncRNAs and their downstream mRNA targets were performed. Finally, we constructed lncRNA–miRNA–mRNA regulation networks. The key genes in these networks were verified by Reverse Transcription Real-time Quantitative PCR (RT-qRCR), which were consistent with the results from RNA-Seq data. CONCLUSIONS: These results provide further insights into the fertility of pigs andcan contribute to further experimental investigation of the functions of these genes. BioMed Central 2020-09-14 /pmc/articles/PMC7490888/ /pubmed/32928107 http://dx.doi.org/10.1186/s12864-020-07055-2 Text en © The Author(s) 2020 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/. 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 in a credit line to the data.
spellingShingle Research Article
Hu, Huiyan
Jia, Qing
Xi, Jianzhong
Zhou, Bo
Li, Zhiqiang
Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows
title Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows
title_full Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows
title_fullStr Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows
title_full_unstemmed Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows
title_short Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows
title_sort integrated analysis of lncrna, mirna and mrna reveals novel insights into the fertility regulation of large white sows
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490888/
https://www.ncbi.nlm.nih.gov/pubmed/32928107
http://dx.doi.org/10.1186/s12864-020-07055-2
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