Integrating whole-genome resequencing data reveals adaptive selection signatures under extreme environments of goat populations in China.

Yang K, Dong J, Wang W, Cai K, Liu J, Qiao L, Liu W.

DOI: 10.1186/s12864-026-13176-x
Published: 2026-07-21
Container: BMC Genomics
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1186/s12864-026-13176-x,
  title = {Integrating whole-genome resequencing data reveals adaptive selection signatures under extreme environments of goat populations in China.},
  author = {Yang K and  Dong J and  Wang W and  Cai K and  Liu J and  Qiao L and  Liu W.},
  year = {2026},
  journal = {BMC Genomics},
  doi = {10.1186/s12864-026-13176-x},
  url = {https://doi.org/10.1186/s12864-026-13176-x}
}

RIS

TY  - JOUR
TI  - Integrating whole-genome resequencing data reveals adaptive selection signatures under extreme environments of goat populations in China.
AU  - Yang K
AU  -  Dong J
AU  -  Wang W
AU  -  Cai K
AU  -  Liu J
AU  -  Qiao L
AU  -  Liu W.
PY  - 2026
JO  - BMC Genomics
DO  - 10.1186/s12864-026-13176-x
UR  - https://doi.org/10.1186/s12864-026-13176-x
ER  -

APA

K, Y., J, D., W, W., K, C., J, L., L, Q., & W., L. (2026). Integrating whole-genome resequencing data reveals adaptive selection signatures under extreme environments of goat populations in China.. BMC Genomics. https://doi.org/10.1186/s12864-026-13176-x

Source records

europe-pmc · retrieved 2026-09-26T05:01:54.257Z