Evidence map›Paper›PMID 32228439›Full record

ArticleBMC genomics2020

Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase.

Xian Zou, Tingting Lu, Zhifeng Zhao, Guangbin Liu, Zhiquan Lian, Yongqing Guo, Baoli Sun, Dewu Liu, Yaokun Li

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 67 citations in OpenAlex.

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  2. Functional Characterization ofAnimals : an open access journal from MDPI · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Xian ZouCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China.
Tingting LuCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China.
Zhifeng ZhaoCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China.
Guangbin LiuCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China.
Zhiquan LianCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China.
Yongqing GuoCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China.
Baoli SunCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China.
Dewu LiuCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China.
Yaokun LiCollege of Animal Science, South China Agricultural University, Wushan Rd., Tianhe Dist, Guangzhou, 510642, Guangdong Province, China. liyaokun1986@163.com.ORCID http://orcid.org/0000-0002-9211-0244
South China Agricultural University · CN

Funding

Guangdong Provincial Department of Education Youth Innovative Talents Project 2017KQNCX014Guangdong Public Welfare Research and Capacity Building Project 2017B020201014, 2017A020208050Guangdong Special plan young top-notch talent 2015TQ01N843
6 · The paper itself

Abstract

backgroundFertility is an important economic trait in the production of meat goat, and follicular development plays an important role in fertility. Although many mRNAs and microRNAs (miRNAs) have been found to play critical roles in ovarian biological processes, the interaction between mRNAs and miRNAs in follicular development is not yet completely understood. In addition, less attention has been given to the study of single follicle (dominant or atretic follicle) in goats. This study aimed to identify mRNAs, miRNAs, and signaling pathways as well as their interaction networks in the ovarian follicles (large follicles and small follicles) of uniparous and multiple Chuanzhong black goats at estrus phase using RNA-sequencing (RNA-seq) technique.

resultsThe results showed that there was a significant difference in the number of large follicles between uniparous and multiple goats (P < 0.05), but no difference in the number of small follicles was observed (P > 0.05). For the small follicles of uniparous and multiple goats at estrus phase, 289 differentially expressed mRNAs (DEmRNAs) and 16 DEmiRNAs were identified; and for the large follicles, 195 DEmRNAs and 7 DEmiRNAs were identified. The functional enrichment analysis showed that DE genes in small follicles were significantly enriched in ovarian steroidogenesis and steroid hormone biosynthesis, while in large follicles were significantly enriched in ABC transporters and steroid hormone biosynthesis. The results of quantitative real-time polymerase chain reaction were consistent with those of RNA-seq. Analysis of the mRNA-miRNA interaction network suggested that CD36 (miR-122, miR-200a, miR-141), TNFAIP6 (miR-141, miR-200a, miR-182), CYP11A1 (miR-122), SERPINA5 (miR-1, miR-206, miR-133a-3p, miR-133b), and PTGFR (miR-182, miR-122) might be related to fertility, but requires further research on follicular somatic cells.

conclusionsThis study was used for the first time to reveal the DEmRNAs and DEmiRNAs as well as their interaction in the follicles of uniparous and multiple goats at estrus phase using RNA-seq technology. Our findings provide new clues to uncover the molecular mechanisms and signaling networks of goat reproduction that could be potentially used to increase ovulation rate and kidding rate in goat.

Indexed as

AnimalsEstrusFemaleGene Expression ProfilingGoatsMicroRNAsOvarian FollicleReal-Time Polymerase Chain ReactionRNA, MessengerRNA-SeqMicroRNAsRNA, MessengerFollicular developmentGoatKidding rateRNA-seq

Identifiers

PMID32228439
PMCPMC7106838
OpenAlexW3014064476

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.