Evidence map›Paper›PMID 42800452›Full record

ArticlePoultry science2026

Integrated multi-tissue transcriptomic analysis identifies hub genes associated with egg production recovery after fasting-induced molting.

Xiaomeng Miao, Jia Liu, Fugui Li, Xing Chen, Yimin Wei, Li Zhang, Yulong Feng, Zhonghua Ning

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Poultry science, 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
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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

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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

8 authors.

Xiaomeng MiaoNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; Guizhou Provincial Key Laboratory of Livestock and Poultry Genetic Resources Innovation and Utilization, Institute of Animal Husbandry and Veterinary Medicine, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, 550005, China.
Jia LiuGuizhou Province Livestock and Poultry Genetic Resources Management Station, Guizhou Provincial Department of Agriculture and Rural Affairs, Guiyang, Guizhou, 550001, China.
Fugui LiXinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Re-sources in Tarim Basin, College of Life Science and Technology, Tarim University, Alar, 843300, China.
Xing ChenNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Yimin WeiNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Li ZhangGuizhou Province Livestock and Poultry Genetic Resources Management Station, Guizhou Provincial Department of Agriculture and Rural Affairs, Guiyang, Guizhou, 550001, China.
Yulong FengGuizhou Provincial Key Laboratory of Livestock and Poultry Genetic Resources Innovation and Utilization, Institute of Animal Husbandry and Veterinary Medicine, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, 550005, China.
Zhonghua NingNational Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China. Electronic address: ningzhh@cau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fasting-induced molting is widely employed in the poultry industry to rejuvenate the reproductive system of aging laying hens, thereby improving post-molt laying performance and extending productive lifespan. However, substantial individual variation in post-molt reproductive recovery may compromise the overall effectiveness of molting programs. Elucidating the molecular basis underlying this variation is therefore important for poultry production and genetic improvement. In this study, laying hens were classified into high-recovery (HR) and low-recovery (LR) groups according to their egg production recovery following fasting-induced molting. Transcriptomic profiling of the hypothalamus, pituitary, ovary, and liver was performed using RNA sequencing (RNA-seq). A total of 271, 435, 3,425, and 289 differentially expressed genes (DEGs) were identified between the HR and LR groups in the hypothalamus, pituitary, ovary, and liver, respectively. Functional enrichment analysis showed that these DEGs were primarily associated with protein homeostasis, hormone response, ribosome function, and immune regulation, indicating distinct tissue-specific biological functions during post-molt recovery. Integration of weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis further identified HSP90AA1, GDF7, CTSS, and STS as candidate hub genes associated with post-molt reproductive recovery. Collectively, this study provides a comprehensive multi-tissue transcriptomic landscape of post-molt egg production recovery and identifies key biological processes and candidate genes potentially involved in this process. These findings improve our understanding of the molecular mechanisms underlying post-molt reproductive recovery and provide valuable genetic resources for the genetic improvement of laying hens with superior post-molt performance.

Indexed as

Egg production recoveryFasting-induced moltingHub geneLaying henMulti-tissue transcriptomics

Identifiers

PMID42800452
PMCPMC13636446

What Socratic holds

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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 Socratic graph.