Evidence map›Paper›PMID 33990173›Full record

ArticleBMC genomics2021

Transcriptome analysis of ovary tissues from low- and high-yielding Changshun green-shell laying hens.

Ren Mu, Yi-Yin Yu, Tuya Gegen, Di Wen, Fen Wang, Zhi Chen, Wen-Bin Xu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

22 citing papers in PubMed, 33 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Ren MuCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities Duyun, Jianjiang Road 5, 558000, Duyun, China.
Yi-Yin YuCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities Duyun, Jianjiang Road 5, 558000, Duyun, China.
Tuya GegenLibrary, Qiannan Normal University for Nationalities, 558000, Duyun, China.
Di WenCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities Duyun, Jianjiang Road 5, 558000, Duyun, China.
Fen WangCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities Duyun, Jianjiang Road 5, 558000, Duyun, China.
Zhi ChenCollege of Biological Science and Agriculture, Qiannan Normal University for Nationalities Duyun, Jianjiang Road 5, 558000, Duyun, China. 328246780@qq.com.
Wen-Bin XuCollege of Animal Sciences, Zhejiang University, 310058, Hangzhou, China. xuwenbin9143@outlook.com.
Qiannan Normal College For Nationalities · CNZhejiang University · CN

Funding

Education Department of the Guizhou Province No.KY2020071
6 · The paper itself

Abstract

backgroundChangshun green-shell laying hens are unique to Guizhou Province, China, and have high egg quality. Improving egg production performance has become an important breeding task, and in recent years, the development of high-throughput sequencing technology provides a fast and exact method for genetic selection. Therefore, we aimed to use this technology to analyze the differences between the ovarian mRNA transcriptome of low and high-yield Changshun green-shell layer hens, identify critical pathways and candidate genes involved in controlling the egg production rate, and provide basic data for layer breeding.

resultsThe egg production rates of the low egg production group (LP) and the high egg production group (HP) were 68.00 ± 5.56 % and 93.67 ± 7.09 %, with significant differences between the groups (p < 0.01). Moreover, the egg weight, shell thickness, strength and layer weight of the LP were significantly greater than those of the HP (p < 0.05). More than 41 million clean reads per sample were obtained, and more than 90 % of the clean reads were mapped to the Gallus gallus genome. Further analysis identified 142 differentially expressed genes (DEGs), and among them, 55 were upregulated and 87 were downregulated in the ovaries. KEGG pathway enrichment analysis identified 9 significantly enriched pathways, with the neuroactive ligand-receptor interaction pathway being the most enriched. GO enrichment analysis indicated that the GO term transmembrane receptor protein tyrosine kinase activity, and the DEGs identified in this GO term, including PRLR, NRP1, IL15, BANK1, NTRK1, CCK, and HGF may be associated with crucial roles in the regulation of egg production.

conclusionsThe above-mentioned DEGs may be relevant for the molecular breeding of Changshun green-shell laying hens. Moreover, enrichment analysis indicated that the neuroactive ligand-receptor interaction pathway and receptor protein tyrosine kinases may play crucial roles in the regulation of ovarian function and egg production.

Indexed as

ChickensOvaryAnimalsChinaEgg ShellFemaleGene Expression ProfilingTranscriptomeChangshun green-shell laying hensEgg productionOvaryTranscriptome analysis

Identifiers

PMID33990173
PMCPMC8122536
OpenAlexW3120517496

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LicenceCC BY
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Registered trials

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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.