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February 21, 2026Poultry Science1 citationsOpen Access

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

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QLQin LiJYJingwei YuanYSYanyan Sun

Key Points

  • Investigate the mechanisms behind heterosis for feed efficiency in chickens using multi-omics data.
  • Conducted multi-omics analysis of White Leghorn, Beijing-You chickens, and their crosses.
  • Examined residual feed intake (RFI) variance during the laying period.
  • Performed metagenomic analysis of cecal microbiota in crossbreds and purebreds.
  • Utilized weighted gene co-expression network and LDA effect size analysis to identify non-additive microorganisms.
  • Identified significant differences in cecal microbiota richness and function among crossbreds and purebreds (P < 0.05).
  • Discovered seven non-additive microorganisms associated with RFI.
  • Identified 544 metabolites linked to RFI, mostly involved in glycerophospholipid metabolism and oxidative phosphorylation.
  • Found that key microorganisms and genes within the oxidative phosphorylation pathway negatively correlate with RFI, contributing to heterosis.

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 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.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69994ba9873532290d01fc47https://doi.org/10.1016/j.psj.2026.106658
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