Evidence map›Paper›PMID 41655378›Full record

ArticlePoultry science2026

Integrated multi-tissue transcriptome and serum metabolome analysis reveals brain-gut-liver regulatory axes of residual feed intake in ducks.

Shihao Guo, Yang Xi, Jingjing Qi, Zhao Yang, Xu Han, Weikang Ling, Lili Bai, Anqi Huang, Shenqiang Hu, Jiwei Hu and 4 more

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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Shihao GuoState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Yang XiCollege of Life Science, Sichuan Agricultural University, 625014, Ya'an, China.
Jingjing QiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Zhao YangState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Xu HanState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Weikang LingState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Lili BaiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Anqi HuangCollege of Life Science, Sichuan Agricultural University, 625014, Ya'an, China.
Shenqiang HuState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Jiwei HuState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Chunchun HanState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Jiwen WangState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Liang LiState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China.
Hehe LiuState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu China; Farm Animal Germplasm Resources and Biotech Breeding Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, 611130, Chengdu, China; College of Life Science, Sichuan Agricultural University, 625014, Ya'an, China. Electronic address: liuee1985@sicau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residual feed intake (RFI) is a key indicator of feed efficiency in poultry. Although regulatory links such as the hypothalamus-gut and gut-liver axes have been implicated, most studies remain restricted to single axes or fragmented analyses, and systematic multi-organ integration is lacking. Here, we measured feed efficiency in 1,000 Nonghua ducks and selected 12 individuals with divergent RFI for transcriptomic profiling of the hypothalamus, pituitary, liver, duodenum, jejunum, ileum, and cecum, combined with serum metabolomics. We identified 769 differentially expressed genes (DEGs), with the hypothalamus, liver, and cecum as major contributors, and 28 differential serum metabolites enriched in lipid and amino acid metabolism. Beyond tissue-specific functions, enrichment analysis highlighted several pathways that were repeatedly shared across central and peripheral tissues, including neuroactive ligand-receptor interaction, hormone signaling, steroid hormone biosynthesis, and insulin signaling, suggesting a coordinated regulation of feed efficiency between the brain, gut, and liver. To clarify their relevance, we integrated gene modules with metabolites and identified two candidate cross-organ association frameworks: the MEblack-6-Oxopiperidine-2-carboxylic acid (gut-liver) networks, enriched for liver genes CNTNAP1, SHC3, and RAB36, and cecal genes DCC and CCDC60. The MEblue-LysoPE(18:2(9Z,12Z)/0:0) (gut-brain) networks, enriched for cecal genes FABP6, KCNJ11, and the pituitary gene TRPA1, in which these genes and metabolites may contribute to RFI regulation. Together, these findings provide new insights into cross-organ molecular networks underlying feed efficiency in ducks and establish a valuable resource for future functional studies and breeding strategies.

Indexed as

DucksEatingMetabolomeTranscriptomeAnimal FeedAnimalsBrainGene Expression ProfilingLiverMaleMultiomicsBrain–gut–liver axesDuckMulti-omicResidual feed intake

Identifiers

PMID41655378
PMCPMC12907219

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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.