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利用高通量测序技术鉴定和比较多产和非多产山羊卵泡期的卵巢 microRNAs。

Identification and comparative analysis of the ovarian microRNAs of prolific and non-prolific goats during the follicular phase using high-throughput sequencing.

机构信息

Key-Laboratory for Animal Science of State Ethnic Affairs Commission, Southwest University for Nationalities, Chengdu, 610041, P.R. China.

出版信息

Sci Rep. 2017 May 15;7(1):1921. doi: 10.1038/s41598-017-02225-x.

DOI:10.1038/s41598-017-02225-x
PMID:28507337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5432505/
Abstract

The kidding rate is one of the most important economic traits for goat production, but the genetic mechanism that is associated with ovulation rate is poorly understood. Recently, increasing evidence has suggested that microRNAs (miRNAs) influence ovarian biological processes. The present study provides the first comparison of the ovarian miRNAs of prolific Jintang black goats (JTGs) and non-prolific Tibetan goats (TBGs) during the follicular phase using RNA-Seq technology. We generated 11.19 million (M) and 11.34 M clean reads from the TBG and JTG libraries, respectively, from which a total of 389 known miRNAs were identified and 142 novel miRNAs were predicted. A total of 191 miRNAs were differentially expressed between the two breeds. Among the 10 most abundant miRNAs, miR-21-5p was defined as differentially expressed miRNA with a higher level in the JTG library than in the TBG library, but the other miRNAs were not different between the breeds. The predicted miRNA-targeted genes were further analyzed by Gene Ontology and KEGG pathway analyses. The results revealed that miR-21, miR-99a, miRNA-143, let-7f, miR-493 and miR-200b may affect follicular development. These findings will increase the current understanding of the role of ovarian miRNAs in the regulation of ovulation rate in goats.

摘要

产羔率是山羊生产中最重要的经济性状之一,但与排卵率相关的遗传机制尚不清楚。最近,越来越多的证据表明 microRNAs(miRNAs)影响卵巢的生物学过程。本研究首次利用 RNA-Seq 技术比较了卵泡期高产金堂黑山羊(JTGs)和低产西藏山羊(TBGs)的卵巢 miRNAs。我们分别从 TBG 和 JTG 文库中生成了 1119 万(M)和 1134 万条清洁reads,从中鉴定出 389 个已知 miRNAs 和 142 个新的 miRNAs。两个品种之间共有 191 个 miRNAs 表达差异。在 10 个最丰富的 miRNAs 中,miR-21-5p 被定义为差异表达 miRNA,在 JTG 文库中的水平高于 TBG 文库,但在品种之间其他 miRNAs 没有差异。进一步对预测的 miRNA 靶基因进行了 Gene Ontology 和 KEGG 通路分析。结果表明,miR-21、miR-99a、miRNA-143、let-7f、miR-493 和 miR-200b 可能影响卵泡发育。这些发现将增加人们对卵巢 miRNAs 在调控山羊排卵率中的作用的现有认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a599/5432505/6008c9c79ef8/41598_2017_2225_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a599/5432505/6008c9c79ef8/41598_2017_2225_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a599/5432505/032c7eac0c09/41598_2017_2225_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a599/5432505/482f40354ed1/41598_2017_2225_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a599/5432505/e6405681a2d3/41598_2017_2225_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a599/5432505/e83f9b03f16a/41598_2017_2225_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a599/5432505/6008c9c79ef8/41598_2017_2225_Fig5_HTML.jpg

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