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

BACKGROUND: Aging-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. RESULTS: -fold change| > 1, FDR < 0.05) and 20 hub genes playing critical roles in mitochondrial and ribosome functions. In addition, we identified 106 differentially expressed genes (DEGs) with tissue-specific expression patterns and interaction networks. We further screened 51 genes that are associated with both the age-related production decline process and economically important traits in chickens. Finally, functional validation using a hydrogen peroxide-induced senescence model in DF-1 cells highlighted NDUFB9, a gene associated with mitochondrial respiratory chain complex I, as a potential anti-aging target. CONCLUSIONS: This 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.

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Publication Details

Journal
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology
Published
2026-04-21
DOI
https://doi.org/10.1186/s40104-026-01392-0
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Bowen Niu, Fangren Lan, Conghao Zhong, Mingyue Gao et al.
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology
Animal Nutrition and Physiology
article

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

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

Abstract

BACKGROUND: Aging-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. RESULTS: -fold change| > 1, FDR < 0.05) and 20 hub genes playing critical roles in mitochondrial and ribosome functions. In addition, we identified 106 differentially expressed genes (DEGs) with tissue-specific expression patterns and interaction networks. We further screened 51 genes that are associated with both the age-related production decline process and economically important traits in chickens. Finally, functional validation using a hydrogen peroxide-induced senescence model in DF-1 cells highlighted NDUFB9, a gene associated with mitochondrial respiratory chain complex I, as a potential anti-aging target. CONCLUSIONS: This 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.

Journal of Animal Science and Biotechnology/Journal of animal science and biotechnologyVol. 17(1)
China Agricultural University (CN)
National Natural Science Foundation of China, China Agricultural University, National Key Research and Development Program of China
Openalex Percentile: Top 18%
Animal Nutrition and Physiology
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