Deciphering the Genetic Landscape: Insights Into the Genomic Signatures of Changle Goose

The Changle goose (CLG), a Chinese indigenous breed, is celebrated for its adaptability, rapid growth, and premium meat quality. Despite its agricultural value, the exploration of its genomic attributes has been scant. Our study entailed whole-genome resequencing of 303 geese across CLG and five other Chinese breeds, revealing distinct genetic diversity metrics. We discovered significant migration events from Xingguo gray goose to CLG and minor gene flow between them. We identified genomic regions through selective sweep analysis, correlating with CLG's unique traits. An elevated inbreeding coefficient in CLG, alongside reduced heterozygosity and rare single nucleotide polymorphisms (R<sub>SNPs</sub>), suggests a narrowed genetic diversity. Genomic regions related to reproduction, meat quality, and growth were identified, with the <i>GATA3</i> gene showing strong selection signals for meat quality. A non-synonymous mutation in the <i>Sloc2a1</i> gene, which is associated with reproductive traits in the CLG, exhibited significant differences in allelic frequency. The roles of <i>CD82</i>, <i>CDH8</i>, and <i>PRKAB1</i> in growth and development, alongside <i>FABP4</i>, <i>FAF1</i>, <i>ESR1</i>, and <i>AKAP12</i> in reproduction, were highlighted. Additionally, <i>Cdkal1</i> and <i>Mfsd14a</i> may influence meat quality. This comprehensive genetic analysis underpins the unique genetic makeup of CLG, providing a basis for its conservation and informed breeding strategies.

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Publication Details

Journal
Evolutionary Applications
Published
2024-08-01
DOI
https://doi.org/10.1111/eva.13768
Citations
1
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.55

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article

Deciphering the Genetic Landscape: Insights Into the Genomic Signatures of Changle Goose

Rui Xuan, Yan Wu, Liping Wu, Hongbo Tang et al.
1 citations
Evolutionary Applications
Genetic and phenotypic traits in livestock
0.55
article

Deciphering the Genetic Landscape: Insights Into the Genomic Signatures of Changle Goose

Rui Xuan, Yan Wu, Liping Wu, Hongbo Tang, Jing Ouyang, Jin Zhou, Min Huang, Rui Xiong, Keyi Luo, Junjie Miao, Sumei Zheng, Yuxuan Huang, Xinyan Fang, Hao Chen, Jiawei Li, Lei Wang, Yihao Zhu, Yujie Gong, Xueming Yan, Hongli Tan, Yanan Wang
article en
1 citations

Abstract

The Changle goose (CLG), a Chinese indigenous breed, is celebrated for its adaptability, rapid growth, and premium meat quality. Despite its agricultural value, the exploration of its genomic attributes has been scant. Our study entailed whole-genome resequencing of 303 geese across CLG and five other Chinese breeds, revealing distinct genetic diversity metrics. We discovered significant migration events from Xingguo gray goose to CLG and minor gene flow between them. We identified genomic regions through selective sweep analysis, correlating with CLG's unique traits. An elevated inbreeding coefficient in CLG, alongside reduced heterozygosity and rare single nucleotide polymorphisms (R<sub>SNPs</sub>), suggests a narrowed genetic diversity. Genomic regions related to reproduction, meat quality, and growth were identified, with the <i>GATA3</i> gene showing strong selection signals for meat quality. A non-synonymous mutation in the <i>Sloc2a1</i> gene, which is associated with reproductive traits in the CLG, exhibited significant differences in allelic frequency. The roles of <i>CD82</i>, <i>CDH8</i>, and <i>PRKAB1</i> in growth and development, alongside <i>FABP4</i>, <i>FAF1</i>, <i>ESR1</i>, and <i>AKAP12</i> in reproduction, were highlighted. Additionally, <i>Cdkal1</i> and <i>Mfsd14a</i> may influence meat quality. This comprehensive genetic analysis underpins the unique genetic makeup of CLG, providing a basis for its conservation and informed breeding strategies.

Evolutionary ApplicationsVol. 17(8)
Zhejiang A & F University (CN), Jiangxi Science and Technology Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province
Zero hunger
Openalex Percentile: Top 27%
Genetic and phenotypic traits in livestock
0.55
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