Evidence map›Paper›PMID 40597588›Full record

ArticleBMC genomics2025

Analysis of genomic selection characteristics of local cattle breeds in Gansu.

Bao Cai, Yandong Kang, Lin Xiong, Jie Pei, Qianyun Ge, Xiaoyun Wu, Manyu Gan, Xian Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bao CaiKey Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
Yandong KangKey Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
Lin XiongKey Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
Jie PeiKey Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
Qianyun GeKey Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
Xiaoyun WuKey Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
Manyu GanSubei Mongolian Autonomous County Animal Husbandry Service Center, Jiuquan, 736300, China.
Xian GuoKey Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China. guoxian@caas.cn.

Funding

China Agriculture Research System of MOF and MARA CARS-37Innovation Project of Chinese Academy of Agricultural Sciences 25-LZIHPS-01Special Project of the Gansu Province Science and Technology Plan Project 23CXNH0016, 23CXNH0017
6 · The paper itself

Abstract

backgroundThe distinctive geography and climate of Gansu Province have given rise to three indigenous cattle breeds-Zaosheng, Anxi, and Yangba. Renowned for their superior meat quality and remarkable adaptability, these breeds are crucial for maintaining genetic diversity. However, they are under threat from intensive farming practices, environmental degradation, and genetic drift, which could lead to an irreversible loss of genetic resources. Thanks to natural and artificial selection, these breeds possess genetic markers that enhance their adaptation to extreme environments and improve key economic traits. By integrating comprehensive genome data from multiple breeds, this study aims to analyze population genetics, detect composite selection signals, and perform functional enrichment to uncover the mechanisms behind genetic differentiation and adaptive evolution. This research is pivotal for developing resilient breeds and ensuring sustainable resource management.

resultsThe genetic background of local cattle breeds in Gansu shows a mix between indicine cattle (Bos indicus) and taurine cattle (Bos taurus), with geographical differentiation: Yangba cattle in the southeast mainly exhibit indicine ancestry (54.43%), while Anxi and Zaosheng cattle in the northwest show a predominance of taurine ancestry (86.51% and 74.81%, respectively). This divergence is closely related to historical ethnic migrations, geographic barriers, and gene flow along the Silk Road. Selection signal analysis has revealed specific adaptation mechanisms in different populations: Yangba cattle exhibit strong selection signals in the T-cell receptor pathway (FYN, FYB1) and skeletal development genes (SOX6), which may be related to their adaptation to hot and humid environments and mountainous terrain; Anxi cattle show adaptive evolution in nitrogen metabolism (CA8, CA10) and adherens junction pathways (CTNNA2), possibly reflecting the genetic basis for their adaptation to arid conditions; Zaosheng cattle display strong selection signals in muscle development (LARGE1, SGCZ) and immune regulation genes (SLAMF family), likely associated with enhanced meat production performance and increased pathogen resistance driven by artificial breeding.

conclusionThis study explores the drivers of genetic diversity and adaptive evolution in Gansu's native cattle breeds, emphasizing the impact of geography and human activity on genetic divergence. It provides a theoretical basis for conserving breed resources, identifying functional genes, and developing breeding strategies.

Indexed as

GenomicsSelection, GeneticAnimalsBreedingCattleChinaGenetics, PopulationGansu local breedsGenetic evolutionPopulation geneticsWhole-genome re-sequencing

Identifiers

PMID40597588
PMCPMC12211739

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.