Multi-omics joint analysis and identification of candidate genes for the rate of right ovarian degeneration in geese

Avian species exhibit a notable asymmetry in their reproductive systems, with the left ovary maturing into a functional organ and the right ovary degenerating. This asymmetry is widespread across bird species, yet the molecular underpinnings of right ovarian degeneration are not fully understood. In this study, we constructed a cellular atlas of the degenerating right ovary in geese through single-cell transcriptome sequencing (scRNA-seq), revealing distinct cellular compositions and gene expression profiles. Meanwhile, we identified variations in the rate of right ovarian degeneration among individuals, which may influence the gene expression profiles of the hypothalamic-pituitary-ovary (HPO) axis, particularly the related pathways involved in steroid hormone secretion and follicular development of the left ovary. Genomic sequencing combined with transcriptomic data, led to the identification of LHX9 and ARID5B as potentially associated with the rate of right ovarian degeneration in avian species. Our study provides a comprehensive cellular and molecular understanding of the degeneration process in the right ovary of geese. The identification of LHX9 and ARID5B as potential regulators of degeneration rate offers new insights into the genetic factors influencing avian reproductive asymmetry. These findings have implications for improving reproductive efficiency in geese and contribute to the broader understanding of the evolution of avian reproductive systems.

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Publication Details

Journal
Poultry Science
Published
2025-03-01
DOI
https://doi.org/10.1016/j.psj.2025.104966
Citations
2
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
3.63

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article

Multi-omics joint analysis and identification of candidate genes for the rate of right ovarian degeneration in geese

Qingyuan Ouyang, Shenqiang Hu, Jiwen Wang, Junhao Tu et al.
2 citations
Poultry Science
Genetic and phenotypic traits in livestock
3.63
article

Multi-omics joint analysis and identification of candidate genes for the rate of right ovarian degeneration in geese

Qingyuan Ouyang, Shenqiang Hu, Jiwen Wang, Junhao Tu, Xinyue Hu, Mingxia Ran, Xiaopeng Li, Xi He, Jiwei Hu, Haihan Zhang
article en
2 citations

Abstract

Avian species exhibit a notable asymmetry in their reproductive systems, with the left ovary maturing into a functional organ and the right ovary degenerating. This asymmetry is widespread across bird species, yet the molecular underpinnings of right ovarian degeneration are not fully understood. In this study, we constructed a cellular atlas of the degenerating right ovary in geese through single-cell transcriptome sequencing (scRNA-seq), revealing distinct cellular compositions and gene expression profiles. Meanwhile, we identified variations in the rate of right ovarian degeneration among individuals, which may influence the gene expression profiles of the hypothalamic-pituitary-ovary (HPO) axis, particularly the related pathways involved in steroid hormone secretion and follicular development of the left ovary. Genomic sequencing combined with transcriptomic data, led to the identification of LHX9 and ARID5B as potentially associated with the rate of right ovarian degeneration in avian species. Our study provides a comprehensive cellular and molecular understanding of the degeneration process in the right ovary of geese. The identification of LHX9 and ARID5B as potential regulators of degeneration rate offers new insights into the genetic factors influencing avian reproductive asymmetry. These findings have implications for improving reproductive efficiency in geese and contribute to the broader understanding of the evolution of avian reproductive systems.

Poultry ScienceVol. 104(4)
Guangxi University (CN), Sichuan Agricultural University (CN), Hunan Agricultural University (CN)
National Natural Science Foundation of China, Agriculture Research System of China, Ministry of Agriculture and Rural Affairs of the People's Republic of China
Zero hunger
Openalex Percentile: Top 9%
Genetic and phenotypic traits in livestock
3.63
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