Evidence map›Paper›PMID 42015210›Full record

ArticleJournal of animal science and biotechnology2026

Multi-tissue analysis identifies mitochondrial genes in chicken aging-induced productivity decline.

Mingyue Gao, Junnan Zhang, Boxuan Zhang, Xinwei Jiang, Bowen Niu, Conghao Zhong, Fangren Lan, Wenxin Zhang, Ning Yang, Congjiao Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of animal science and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mingyue GaoState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Junnan ZhangState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Boxuan ZhangState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Xinwei JiangState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Bowen NiuState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Conghao ZhongState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Fangren LanState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Wenxin ZhangState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Ning YangState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
Congjiao SunState Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing, 100193, China. cjsun@cau.edu.cn.

Funding

China Agriculture Research Systems CARS-40the 2115 Talent Development Program of China Agricultural University 00109015the National Key Research and Development Program of China 2021YFD1300600the National Natural Science Foundation of China No. 32472894
6 · The paper itself

Abstract

backgroundAging-related production decline is widely observed in poultry farming, making it challenging to prolong the laying cycle of hens. However, its genetic determinants remain unclear. This study aimed to systematically identify key genes associated with hens with age-related production decline and reveal dynamic changes in gene expression during tissue functional decline.

resultsThis study integrated multi-tissue transcriptomic data from 216 samples obtained from Rhode Island Red laying hens, covering nine tissues (hypothalamus, pituitary, cecum, duodenum, liver, ovary, magnum, isthmus, and uterus) at three age points (50, 70, and 100 weeks of age). Through comprehensive analysis, we identified 87 genes that showed significant changes across all nine tissues (|log

conclusionsThis study provides a systematic multi-tissue transcriptomic framework for understanding aging-associated productivity decline in laying hens. Our findings highlight conserved mitochondrial and ribosomal dysfunction as key molecular features of age-related production decline and identify NDUFB9 as a potential anti-aging target, offering valuable insights for improving poultry longevity and production performance.

Indexed as

Age-related genesChickenFunctional declineMitochondrial dysfunctionMulti-tissue RNA-seq

Identifiers

PMID42015210
PMCPMC13101107

What Socratic holds

Textmetadata
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 Socratic graph.