Global Whole-Genome Resequencing of Beef Cattle Reveals Characteristic Traits Related Genes in Pinan Cattle.

Dongdong Bo, Yuanyuan Wang, Yilin Bai, Jing Li, Jiameng Shen, Jinxiao Wei, Yueyu Bai

Abstract read

In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Dongdong BoSchool of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.

Yuanyuan WangSchool of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.

Yilin BaiSchool of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.

Jing LiSchool of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.

Jiameng ShenSchool of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.

Jinxiao WeiHenan Provincial Center of Seed Industry Development, Zhengzhou 450007, China.

Yueyu BaiSchool of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.

Funding

Key Project of Science and Technology of Henan Province 252102110077National Key Research and Development Program of China 2023YFD1300105Special Fund for Henan Agriculture Research System HARS-22-13-Z1

6 · The paper itself

Abstract

Beef cattle breed improvement holds strategic significance in the livestock industry. Pinan cattle, developed through years of selective breeding in Xinye County, Henan Province, exhibit superior traits including thin skin, fine bone structure, rapid growth, high dressing percentage, excellent meat yield, and superior feed efficiency. However, research on the genetic characteristics of Pinan cattle remains in its infancy. In this study, we investigated population genetic diversity and positive selection signals in Pinang cattle based on whole-genome resequencing data. Using a selective sweep approach, we identified 98 candidate genes associated with growth, reproduction, and immunity, along with 13 high-confidence missense mutations, which may underlie key traits in this population. Based on the critical roles of the

Indexed as

candidate genesNDN genePARVA genePinan cattlepopulation genetic structureselection signature

Identifiers

PMID40509092

DOI10.3390/ani15111626

PMCPMC12153678

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