Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing

Background miRNA has an important role in cell differentiation, biological development, and physiology. Milk production is an important quantitative trait in livestock and miRNA plays a role in the amount of milk produced. Methods The role of regulatory miRNAs involved in equine milk production is n...

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Main Authors: LingLing Liu, Chao Fang, YinZe Sun, WuJun Liu
Format: Article
Language:English
Published: PeerJ Inc. 2021-02-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/10796.pdf
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author LingLing Liu
Chao Fang
YinZe Sun
WuJun Liu
author_facet LingLing Liu
Chao Fang
YinZe Sun
WuJun Liu
author_sort LingLing Liu
collection DOAJ
description Background miRNA has an important role in cell differentiation, biological development, and physiology. Milk production is an important quantitative trait in livestock and miRNA plays a role in the amount of milk produced. Methods The role of regulatory miRNAs involved in equine milk production is not fully understood. We constructed two miRNA libraries for Kazakh horse milk production from higher-producing (H group) and lower-producing (L group) individuals, and used RNA-Seq technology to identify the differentially expressed miRNAs between the two milk phenotypes of Kazakh horses. Results A total of 341 known and 333 novel miRNAs were detected from the H and L groups, respectively. Eighty-three differentially expressed miRNAs were identified between the H and L group s, of which 32 were known miRNAs (27 were up-regulated, five were down-regulated) and 51 were novel miRNAs (nine were up-regulated, 42 were down-regulated). A total of 2,415 genes were identified. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed that these genes were annotated to mammary gland development, mammary gland morphogenesis, tissue development and PI3K-Akt signaling pathways, insulin signaling pathway and TGF-beta signaling pathway, among others. Five miRNAs (miR-199a-3p, miR143, miR145, miR221, miR486-5p) were identified as affecting horse milk production and these five miRNAs were validated using qRT-PCR. Conclusions We described a methodology for the transcriptome-wide profiling of miRNAs in milk, which may help the design of new intervention strategies to improve the milk yield of Kazakh horses.
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spelling doaj.art-771598313f964bd3bdb9923059e59ab92023-12-03T10:57:18ZengPeerJ Inc.PeerJ2167-83592021-02-019e1079610.7717/peerj.10796Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencingLingLing Liu0Chao Fang1YinZe Sun2WuJun Liu3College of Animal Science, Xinjiang Agriculture University, Urumqi, Xinjiang, ChinaDepartment of Animal Production, Farah Research Centre from the Faculty of Veterinary Medicine, University of Liège, Liège, BelgiumCollege of Animal Science, Xinjiang Agriculture University, Urumqi, Xinjiang, ChinaCollege of Animal Science, Xinjiang Agriculture University, Urumqi, Xinjiang, ChinaBackground miRNA has an important role in cell differentiation, biological development, and physiology. Milk production is an important quantitative trait in livestock and miRNA plays a role in the amount of milk produced. Methods The role of regulatory miRNAs involved in equine milk production is not fully understood. We constructed two miRNA libraries for Kazakh horse milk production from higher-producing (H group) and lower-producing (L group) individuals, and used RNA-Seq technology to identify the differentially expressed miRNAs between the two milk phenotypes of Kazakh horses. Results A total of 341 known and 333 novel miRNAs were detected from the H and L groups, respectively. Eighty-three differentially expressed miRNAs were identified between the H and L group s, of which 32 were known miRNAs (27 were up-regulated, five were down-regulated) and 51 were novel miRNAs (nine were up-regulated, 42 were down-regulated). A total of 2,415 genes were identified. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed that these genes were annotated to mammary gland development, mammary gland morphogenesis, tissue development and PI3K-Akt signaling pathways, insulin signaling pathway and TGF-beta signaling pathway, among others. Five miRNAs (miR-199a-3p, miR143, miR145, miR221, miR486-5p) were identified as affecting horse milk production and these five miRNAs were validated using qRT-PCR. Conclusions We described a methodology for the transcriptome-wide profiling of miRNAs in milk, which may help the design of new intervention strategies to improve the milk yield of Kazakh horses.https://peerj.com/articles/10796.pdfKazakh horsemiRNAsMilk yieldHigh-throughput sequencing
spellingShingle LingLing Liu
Chao Fang
YinZe Sun
WuJun Liu
Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing
PeerJ
Kazakh horse
miRNAs
Milk yield
High-throughput sequencing
title Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing
title_full Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing
title_fullStr Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing
title_full_unstemmed Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing
title_short Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing
title_sort evaluation of key mirnas during early pregnancy in kazakh horse using rna sequencing
topic Kazakh horse
miRNAs
Milk yield
High-throughput sequencing
url https://peerj.com/articles/10796.pdf
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AT chaofang evaluationofkeymirnasduringearlypregnancyinkazakhhorseusingrnasequencing
AT yinzesun evaluationofkeymirnasduringearlypregnancyinkazakhhorseusingrnasequencing
AT wujunliu evaluationofkeymirnasduringearlypregnancyinkazakhhorseusingrnasequencing