Evidence map›Paper›PMID 42410522›Full record

ArticleBMC genomics2026

Comparative and population genomics analyses of eared pheasants inhabiting highly varying altitudes.

Siwen Wu, Kun Wang, Xuehai Ge, Sisi Yuan, Dong-Dong Wu, Changrong Ge, Junjing Jia, Zhengchang Su, Tengfei Dou

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Siwen Wu *Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, Yunnan, China.
Kun Wang *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.
Xuehai Ge *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.
Sisi YuanDepartment of Bioinformatics and Genomics, College of Computing and Informatics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Dong-Dong WuState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Changrong GeFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China. gcrzal@126.com.
Junjing JiaFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China. junjingli2009@hotmail.com.
Zhengchang SuDepartment of Bioinformatics and Genomics, College of Computing and Informatics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA. zcsu@uncc.edu.
Tengfei DouFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China. tengfeidou@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOxygen pressure varies dramatically with altitudes on Earth; however, humans and animals thrive at almost all altitudes.

resultsTo better understand genetic basis underlying adaptation of closely related species to varying altitudes, we annotated and compared the genome of a white eared pheasant (WT) (Crossoptilon crossoptilon) inhabiting high altitudes and the genome of a brown eared pheasant (BR) (C. mantchuricum) inhabiting low altitudes. Moreover, we compared genetic variations in populations of WT and BR as well as of blue eared pheasants (BL) (C. auritum) inhabiting intermediate altitudes, and identified thousands of selective sweeps in each species.

conclusionsIntriguingly, the unique genes and pseudogenes in the genomes of WT and BR converge on the same set of altitude adaptation-related pathways of four functional categories as genes in selective sweeps in each species. Thus, these species appear to adapt to highly varying altitudes by diverging selection on the same traits via loss-of-function mutations and fine-tuning genes in common pathways.

Indexed as

AltitudeGalliformesGenetics, PopulationGenomicsMetagenomicsAdaptation, PhysiologicalAnimalsGenetic VariationSelection, GeneticAltitudes adaptationEared pheasantFine-tuning genesLoss-of-function mutationsSelective sweeps

Identifiers

PMID42410522
PMCPMC13621732

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