Evidence map›Paper›PMID 41214498›Full record

ArticleBMC genomics2025

Transcriptome of the ovaries and oviduct associates inflammatory response with high blood and meat spots incidence in chickens.

Junfeng Wu, Yiyuan Yan, Jiahua Chen, Junying Li, Guangqi Li, Guiqin Wu, Gang Zheng, Yuqin Yang, Yushuang Du, Ling Lian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Junfeng WuState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China.
Yiyuan YanBeijing Engineering Research Center of Layer, Beijing, 101206, China.
Jiahua ChenState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China.
Junying LiState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China.
Guangqi LiBeijing Engineering Research Center of Layer, Beijing, 101206, China.
Guiqin WuBeijing Engineering Research Center of Layer, Beijing, 101206, China.
Gang ZhengState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China.
Yuqin YangState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China.
Yushuang DuState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China.
Ling LianState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, 100193, China. lianlinglara@126.com.

Funding

ational Key Research and Development Program of China 2022YFF1000200ational Natural Science Foundation of China 32272865National Germplasm Center of Domestic Animal Resources, Agriculture Research Systems CARS-40National Key Research and Development Program of China 2021YFD1300600National Natural Science Foundation of China U1901206Program for Changjiang Scholars and Innovative Research Team in University IRT_15R62
6 · The paper itself

Abstract

Blood and meat spots in egg white and yolk are regarded as defects affecting egg internal quality. The presence of blood and meat spots in egg directly reflects the health status of the hen's ovary and oviduct. In this study, we analyzed mRNA and lncRNA profiles from 36 samples (ovary, magnum/isthmus, and uterus) collected from 12 Rhode Island Red hens with higher and lower incidence of blood and meat spots (BMS) in eggs, to elucidate the factors associated with BMS incidence. There were 398, 359, 548 differentially expressed genes (DEGs) and 194, 34, 170 differentially expressed lncRNAs (DElncRNAs) across the ovary, magnum/isthmus and uterus identified between high and low BMS incidence groups. Through WGCNA analysis, we identified phenotype-associated gene modules in the ovary, the key tissues where egg yolk formed, which indicated DEGs in the ovary was associated with BMS formation. Further analysis revealed 36, 28, 353 DEGs were co-expressed with DElncRNAs in the ovary, magnum/isthmus tissues, and uterus, respectively. Functional enrichment analysis indicated that co-expressed genes in ovary and magnum/isthmus were predominantly associated with inflammatory responses and immune regulation, which indicated inflammation response occurred in ovary tissue. Our study provided the transcriptome profiles of chickens with high and low BMS, which was helpful for in-depth research on molecular mechanisms underlying BMS formation.

Indexed as

ChickensInflammationMeatOvaryOviductsPoultry DiseasesTranscriptomeAnimalsFemaleGene Expression ProfilingGene Regulatory NetworksRNA, Long NoncodingRNA, Long NoncodingBlood and meat spotEggTranscriptome

Identifiers

PMID41214498
PMCPMC12604276

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LicenceCC BY-NC-ND
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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.