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Dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development
BACKGROUND: Skeletal muscle growth and development are closely associated with the quantity and quality of pork production. We performed a transcriptomic analysis of 12 Longissimus dorsi muscle samples from Tibetan piglets at four postnatal stages of 0, 14, 30, and 60 days using RNA sequencing. RESU...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8419915/ https://www.ncbi.nlm.nih.gov/pubmed/34488628 http://dx.doi.org/10.1186/s12863-021-00984-1 |
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author | Wang, Yanping Wang, Jiying Hu, Hongmei Wang, Huaizhong Wang, Cheng Lin, Haichao Zhao, Xueyan |
author_facet | Wang, Yanping Wang, Jiying Hu, Hongmei Wang, Huaizhong Wang, Cheng Lin, Haichao Zhao, Xueyan |
author_sort | Wang, Yanping |
collection | PubMed |
description | BACKGROUND: Skeletal muscle growth and development are closely associated with the quantity and quality of pork production. We performed a transcriptomic analysis of 12 Longissimus dorsi muscle samples from Tibetan piglets at four postnatal stages of 0, 14, 30, and 60 days using RNA sequencing. RESULTS: According to the pairwise comparisons between the libraries of the muscle samples at the four postnatal stages, a total of 4115 differentially expressed genes (DEGs) were identified in terms of |log(2)(fold change)| ≥ 1 and an adjusted P value < 0.01. Short-time series expression miner (STEM) analysis of the DEGs identified eight significantly different expression profiles, which were divided into two clusters based on the expression pattern. DEGs in cluster I displayed a pattern of decreasing to a nadir, and then a rise, and the significantly enriched gene ontology (GO) terms detected using them were involved in multiple processes, of which the cell cycle, immunocyte activation and proliferation, as well as actin cytoskeleton organization, were the top three overrepresented processes based on the GO terms functional classification. DEGs in cluster II displayed a pattern of increasing to a peak, then declining, which mainly contributed to protein metabolism. Furthermore, besides the pathways related to immune system, a few diseases, and protein metabolism, the DEGs in clusters I and II were significantly enriched in pathways related to muscle growth and development, such as the Rap1, PI3K-Akt, AMPK, and mTOR signaling pathways. CONCLUSIONS: This study revealed GO terms and pathways that could affect the postnatal muscle growth and development in piglets. In addition, this study provides crucial information concerning the molecular mechanisms of muscle growth and development as well as an overview of the piglet transcriptome dynamics throughout the postnatal period in terms of growth and development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-021-00984-1. |
format | Online Article Text |
id | pubmed-8419915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84199152021-09-09 Dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development Wang, Yanping Wang, Jiying Hu, Hongmei Wang, Huaizhong Wang, Cheng Lin, Haichao Zhao, Xueyan BMC Genom Data Research Article BACKGROUND: Skeletal muscle growth and development are closely associated with the quantity and quality of pork production. We performed a transcriptomic analysis of 12 Longissimus dorsi muscle samples from Tibetan piglets at four postnatal stages of 0, 14, 30, and 60 days using RNA sequencing. RESULTS: According to the pairwise comparisons between the libraries of the muscle samples at the four postnatal stages, a total of 4115 differentially expressed genes (DEGs) were identified in terms of |log(2)(fold change)| ≥ 1 and an adjusted P value < 0.01. Short-time series expression miner (STEM) analysis of the DEGs identified eight significantly different expression profiles, which were divided into two clusters based on the expression pattern. DEGs in cluster I displayed a pattern of decreasing to a nadir, and then a rise, and the significantly enriched gene ontology (GO) terms detected using them were involved in multiple processes, of which the cell cycle, immunocyte activation and proliferation, as well as actin cytoskeleton organization, were the top three overrepresented processes based on the GO terms functional classification. DEGs in cluster II displayed a pattern of increasing to a peak, then declining, which mainly contributed to protein metabolism. Furthermore, besides the pathways related to immune system, a few diseases, and protein metabolism, the DEGs in clusters I and II were significantly enriched in pathways related to muscle growth and development, such as the Rap1, PI3K-Akt, AMPK, and mTOR signaling pathways. CONCLUSIONS: This study revealed GO terms and pathways that could affect the postnatal muscle growth and development in piglets. In addition, this study provides crucial information concerning the molecular mechanisms of muscle growth and development as well as an overview of the piglet transcriptome dynamics throughout the postnatal period in terms of growth and development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-021-00984-1. BioMed Central 2021-09-06 /pmc/articles/PMC8419915/ /pubmed/34488628 http://dx.doi.org/10.1186/s12863-021-00984-1 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 Article Wang, Yanping Wang, Jiying Hu, Hongmei Wang, Huaizhong Wang, Cheng Lin, Haichao Zhao, Xueyan Dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development |
title | Dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development |
title_full | Dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development |
title_fullStr | Dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development |
title_full_unstemmed | Dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development |
title_short | Dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development |
title_sort | dynamic transcriptome profiles of postnatal porcine skeletal muscle growth and development |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8419915/ https://www.ncbi.nlm.nih.gov/pubmed/34488628 http://dx.doi.org/10.1186/s12863-021-00984-1 |
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