Evidence map›Paper›PMID 41846078›Full record

ArticlePoultry science2026

Multi-omics analysis revealed that oxidative phosphorylation contributed to the heterosis for feed efficiency in laying chickens.

Qin Li, Jingwei Yuan, Yanyan Sun, Yuanmei Wang, Yunlei Li, Aixin Ni, Yunhe Zong, Hanhan Yang, Xinyi Li, Xiaolong Huang and 2 more

Abstract read
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
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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Qin LiState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Jingwei YuanState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Yanyan SunState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Yuanmei WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Yunlei LiState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Aixin NiState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Yunhe ZongState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Hanhan YangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Xinyi LiState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Xiaolong HuangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Hui MaState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Jilan ChenState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China. Electronic address: chen.jilan@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving feed efficiency has been the top priority in animal husbandry. Host genetics and gut microbiota synergistically regulate feed efficiency in laying chicken. However, the role of gut microbiota in heterosis for feed efficiency was rarely investigated. Herein, we used multi-omics data to elucidate the regulatory mechanisms of heterosis for feed efficiency in White Leghorn, Beijing-You chicken, and their reciprocal crosses. We observed divergent heterosis for residual feed intake (RFI) between two crossbreds during the laying period from 43 to 46 weeks of age. Metagenomic analysis showed the significant difference in richness and function of cecal microbiota among crossbreds and purebreds (P < 0.05), and the differential functional pathways were mainly related to metabolism. Most microorganisms (>90 %) were non-additive in crossbreds. Weighted gene co-expression network analysis and LDA effect size analysis revealed seven non-additive RFI-associated microorganisms, such as Leyella, Paraprevotella, and Zongyangia. We also identified 544 RFI-associted metabolites, which were mainly overrepresented in glycerophospholipid metabolism and oxidative phosphorylation. Integrative analysis further revealed the interactions among non-additive microorganisms, genes, and metabolites. Specifically, the non-additive expression of Zongyangia was positively correlated with UQCR10 and Ubiquinone-1 levels within the oxidative phosphorylation pathway. These factors were negatively correlated with RFI, contributing to the RFI heterosis. Our study highlighted that key microorganisms, genes, and metabolites involved in oxidative phosphorylation interact to regulate negative heterosis for RFI in laying hens. The findings established a theoretical and practical foundation for further exploring the molecular mechanisms that drive heterosis for feed efficiency.

Indexed as

ChickensGastrointestinal MicrobiomeHybrid VigorOxidative PhosphorylationAnimal FeedAnimalsFemaleMultiomicsChickenFeed efficiencyHeterosisHost-microbial interactionsMulti-omics

Identifiers

PMID41846078
PMCPMC13010968

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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.