Integrating SNP data to reveal the adaptive selection features of goat populations in extreme environments.
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| Title: | Integrating SNP data to reveal the adaptive selection features of goat populations in extreme environments. |
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| Authors: | Wang W; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China., Cai K; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China., Fan M; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China., Pang Z; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China., Pan Y; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China., Cheng L; Shanxi Animal Husbandry Technology Extension Service Center, Taiyuan, 030001, China., Qiao L; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China., Wang R; Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China., Liu W; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.; Shanxi Key Laboratory of Animal Genetics Resource Utilization and Breeding, Taigu, 030801, China., Liu J; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Shanxi Agricultural University, Taigu, 030801, China. ljhbeth@163.com.; Shanxi Key Laboratory of Animal Genetics Resource Utilization and Breeding, Taigu, 030801, China. ljhbeth@163.com. |
| Source: | BMC genomics [BMC Genomics] 2025 Jun 02; Vol. 26 (1), pp. 553. Date of Electronic Publication: 2025 Jun 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2164 |
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| DOI: | 10.1186/s12864-025-11743-2 |
