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Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows
Long noncoding RNAs (lncRNAs) play an important regulatory role in various biological processes as a key regulatory factor. However, the complete expression profile of lncRNAs in dairy cows and its function in milk fat synthesis are unknown. In this study, RNA sequencing (RNA-seq) was used to resear...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850724/ https://www.ncbi.nlm.nih.gov/pubmed/35186023 http://dx.doi.org/10.3389/fgene.2022.772115 |
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author | Mu, Tong Hu, Honghong Feng, Xiaofang Ma, Yanfen Wang, Ying Liu, Jiamin Yu, Baojun Wen, Wan Zhang, Juan Gu, Yaling |
author_facet | Mu, Tong Hu, Honghong Feng, Xiaofang Ma, Yanfen Wang, Ying Liu, Jiamin Yu, Baojun Wen, Wan Zhang, Juan Gu, Yaling |
author_sort | Mu, Tong |
collection | PubMed |
description | Long noncoding RNAs (lncRNAs) play an important regulatory role in various biological processes as a key regulatory factor. However, the complete expression profile of lncRNAs in dairy cows and its function in milk fat synthesis are unknown. In this study, RNA sequencing (RNA-seq) was used to research the whole genome expression of lncRNAs and mRNA transcripts in high and low milk fat percentage (MFP) bovine mammary epithelial cells (BMECs), and joint analysis was carried out. We identified a total of 47 differentially expressed genes (DEGs) and 38 differentially expressed lncRNAs (DELs, Padj <0.05), enrichment analysis screened out 11 candidate DEGs that may regulate milk fat metabolism. Downregulated differential gene ENPP2 (The expression level in BMECs of high milk fat dairy cows was lower than that of low milk fat cows) and upregulated differential gene BCAT1 are more likely to participate in the milk fat metabolism, and its function needs further experiments verification. The enrichment analysis of target genes predicted by DELs identified 7 cis (co-localization) and 10 trans (co-expression) candidate target genes related to milk lipid metabolism, corresponding to a total of 18 DELs. Among them, the targeting relationship between long intervening/intergenic noncoding RNA (lincRNA) TCONS_00082721 and FABP4 is worthy of attention. One hundred and fifty-six competing endogenous RNAs (ceRNAs) interaction regulation networks related to milk fat metabolism were constructed based on the expression information of DELs, differential microRNAs (miRNAs), and lipid metabolism-related target genes. The regulatory network centered on miR-145 will be the focus of subsequent experimental research. The ceRNAs regulatory network related to TCONS_00082721 and TCONS_00172817 are more likely to be involved in milk fat synthesis. These results will provide new ways to understand the complex biology of dairy cow milk fat synthesis and provide valuable information for breed improvement of Chinese Holstein cow. |
format | Online Article Text |
id | pubmed-8850724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88507242022-02-18 Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows Mu, Tong Hu, Honghong Feng, Xiaofang Ma, Yanfen Wang, Ying Liu, Jiamin Yu, Baojun Wen, Wan Zhang, Juan Gu, Yaling Front Genet Genetics Long noncoding RNAs (lncRNAs) play an important regulatory role in various biological processes as a key regulatory factor. However, the complete expression profile of lncRNAs in dairy cows and its function in milk fat synthesis are unknown. In this study, RNA sequencing (RNA-seq) was used to research the whole genome expression of lncRNAs and mRNA transcripts in high and low milk fat percentage (MFP) bovine mammary epithelial cells (BMECs), and joint analysis was carried out. We identified a total of 47 differentially expressed genes (DEGs) and 38 differentially expressed lncRNAs (DELs, Padj <0.05), enrichment analysis screened out 11 candidate DEGs that may regulate milk fat metabolism. Downregulated differential gene ENPP2 (The expression level in BMECs of high milk fat dairy cows was lower than that of low milk fat cows) and upregulated differential gene BCAT1 are more likely to participate in the milk fat metabolism, and its function needs further experiments verification. The enrichment analysis of target genes predicted by DELs identified 7 cis (co-localization) and 10 trans (co-expression) candidate target genes related to milk lipid metabolism, corresponding to a total of 18 DELs. Among them, the targeting relationship between long intervening/intergenic noncoding RNA (lincRNA) TCONS_00082721 and FABP4 is worthy of attention. One hundred and fifty-six competing endogenous RNAs (ceRNAs) interaction regulation networks related to milk fat metabolism were constructed based on the expression information of DELs, differential microRNAs (miRNAs), and lipid metabolism-related target genes. The regulatory network centered on miR-145 will be the focus of subsequent experimental research. The ceRNAs regulatory network related to TCONS_00082721 and TCONS_00172817 are more likely to be involved in milk fat synthesis. These results will provide new ways to understand the complex biology of dairy cow milk fat synthesis and provide valuable information for breed improvement of Chinese Holstein cow. Frontiers Media S.A. 2022-02-03 /pmc/articles/PMC8850724/ /pubmed/35186023 http://dx.doi.org/10.3389/fgene.2022.772115 Text en Copyright © 2022 Mu, Hu, Feng, Ma, Wang, Liu, Yu, Wen, Zhang and Gu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Mu, Tong Hu, Honghong Feng, Xiaofang Ma, Yanfen Wang, Ying Liu, Jiamin Yu, Baojun Wen, Wan Zhang, Juan Gu, Yaling Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows |
title | Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows |
title_full | Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows |
title_fullStr | Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows |
title_full_unstemmed | Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows |
title_short | Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows |
title_sort | screening and conjoint analysis of key lncrnas for milk fat metabolism in dairy cows |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850724/ https://www.ncbi.nlm.nih.gov/pubmed/35186023 http://dx.doi.org/10.3389/fgene.2022.772115 |
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