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Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle

BACKGROUND: A comprehensive analysis of gene expression profiling across tissues can provide necessary information for an in-depth understanding of their biological functions. We performed a large-scale gene expression analysis and generated a high-resolution atlas of the transcriptome in beef cattl...

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Autores principales: Zhang, Tianliu, Wang, Tianzhen, Niu, Qunhao, Xu, Lei, Chen, Yan, Gao, Xue, Gao, Huijiang, Zhang, Lupei, Liu, George E., Li, Junya, Xu, Lingyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966188/
https://www.ncbi.nlm.nih.gov/pubmed/35351103
http://dx.doi.org/10.1186/s12915-022-01269-4
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author Zhang, Tianliu
Wang, Tianzhen
Niu, Qunhao
Xu, Lei
Chen, Yan
Gao, Xue
Gao, Huijiang
Zhang, Lupei
Liu, George E.
Li, Junya
Xu, Lingyang
author_facet Zhang, Tianliu
Wang, Tianzhen
Niu, Qunhao
Xu, Lei
Chen, Yan
Gao, Xue
Gao, Huijiang
Zhang, Lupei
Liu, George E.
Li, Junya
Xu, Lingyang
author_sort Zhang, Tianliu
collection PubMed
description BACKGROUND: A comprehensive analysis of gene expression profiling across tissues can provide necessary information for an in-depth understanding of their biological functions. We performed a large-scale gene expression analysis and generated a high-resolution atlas of the transcriptome in beef cattle. RESULTS: Our transcriptome atlas was generated from 135 bovine tissues in adult beef cattle, covering 51 tissue types of major organ systems (e.g., muscular system, digestive system, immune system, reproductive system). Approximately 94.76% of sequencing reads were successfully mapped to the reference genome assembly ARS-UCD1.2. We detected a total of 60,488 transcripts, and 32% of them were not reported before. We identified 2654 housekeeping genes (HKGs) and 477 tissue-specific genes (TSGs) across tissues. Using weighted gene co-expression network analysis, we obtained 24 modules with 237 hub genes (HUBGs). Functional enrichment analysis showed that HKGs mainly maintain the basic biological activities of cells, while TSGs were involved in tissue differentiation and specific physiological processes. HKGs in bovine tissues were more conserved in terms of expression pattern as compared to TSGs and HUBGs among multiple species. Finally, we obtained a subset of tissue-specific differentially expressed genes (DEGs) between beef and dairy cattle and several functional pathways, which may be involved in production and health traits. CONCLUSIONS: We generated a large-scale gene expression atlas across the major tissues in beef cattle, providing valuable information for enhancing genome assembly and annotation. HKGs, TSGs, and HUBGs further contribute to better understanding the biology and evolution of multiple tissues in cattle. DEGs between beef and dairy cattle also fill in the knowledge gaps about differential transcriptome regulation of bovine tissues underlying economically important traits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-022-01269-4.
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spelling pubmed-89661882022-03-31 Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle Zhang, Tianliu Wang, Tianzhen Niu, Qunhao Xu, Lei Chen, Yan Gao, Xue Gao, Huijiang Zhang, Lupei Liu, George E. Li, Junya Xu, Lingyang BMC Biol Research Article BACKGROUND: A comprehensive analysis of gene expression profiling across tissues can provide necessary information for an in-depth understanding of their biological functions. We performed a large-scale gene expression analysis and generated a high-resolution atlas of the transcriptome in beef cattle. RESULTS: Our transcriptome atlas was generated from 135 bovine tissues in adult beef cattle, covering 51 tissue types of major organ systems (e.g., muscular system, digestive system, immune system, reproductive system). Approximately 94.76% of sequencing reads were successfully mapped to the reference genome assembly ARS-UCD1.2. We detected a total of 60,488 transcripts, and 32% of them were not reported before. We identified 2654 housekeeping genes (HKGs) and 477 tissue-specific genes (TSGs) across tissues. Using weighted gene co-expression network analysis, we obtained 24 modules with 237 hub genes (HUBGs). Functional enrichment analysis showed that HKGs mainly maintain the basic biological activities of cells, while TSGs were involved in tissue differentiation and specific physiological processes. HKGs in bovine tissues were more conserved in terms of expression pattern as compared to TSGs and HUBGs among multiple species. Finally, we obtained a subset of tissue-specific differentially expressed genes (DEGs) between beef and dairy cattle and several functional pathways, which may be involved in production and health traits. CONCLUSIONS: We generated a large-scale gene expression atlas across the major tissues in beef cattle, providing valuable information for enhancing genome assembly and annotation. HKGs, TSGs, and HUBGs further contribute to better understanding the biology and evolution of multiple tissues in cattle. DEGs between beef and dairy cattle also fill in the knowledge gaps about differential transcriptome regulation of bovine tissues underlying economically important traits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-022-01269-4. BioMed Central 2022-03-29 /pmc/articles/PMC8966188/ /pubmed/35351103 http://dx.doi.org/10.1186/s12915-022-01269-4 Text en © The Author(s) 2022 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
Zhang, Tianliu
Wang, Tianzhen
Niu, Qunhao
Xu, Lei
Chen, Yan
Gao, Xue
Gao, Huijiang
Zhang, Lupei
Liu, George E.
Li, Junya
Xu, Lingyang
Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle
title Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle
title_full Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle
title_fullStr Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle
title_full_unstemmed Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle
title_short Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle
title_sort transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966188/
https://www.ncbi.nlm.nih.gov/pubmed/35351103
http://dx.doi.org/10.1186/s12915-022-01269-4
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