首页|Population genomic data reveal low genetic diversity,divergence and local adaptation among threatened Reeves's Pheasant(Syrmaticus reevesii)

Population genomic data reveal low genetic diversity,divergence and local adaptation among threatened Reeves's Pheasant(Syrmaticus reevesii)

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Population genomic data could provide valuable information for conservation efforts;however,limited studies have been conducted to investigate the genetic status of threatened pheasants.Reeves's Pheasant(Syrmaticus reevesii)is facing population decline,attributed to increases in habitat loss.There is a knowledge gap in un-derstanding the genomic status and genetic basis underlying the local adaptation of this threatened bird.Here,we used population genomic data to assess population structure,genetic diversity,inbreeding patterns,and genetic divergence.Furthermore,we identified candidate genes linked with adaptation across the current dis-tribution of Reeves's Pheasant.The present study assembled the first de novo genome sequence of Reeves's Pheasant and annotated 19,458 genes.We also sequenced 30 individuals from three populations(Dabie Mountain,Shennongjia,Qinling Mountain)and found that there was clear population structure among those populations.By comparing with other threatened species,we found that Reeves's Pheasants have low genetic diversity.Runs of homozygosity suggest that the Shennongjia population has experienced serious inbreeding.The demographic history results indicated that three populations experienced several declines during the glacial period.Local adaptative analysis among the populations identified 241 candidate genes under directional se-lection.They are involved in a large variety of processes,including the immune response and pigmentation.Our results suggest that the three populations should be considered as three different conservation units.The current study provides genetic evidence for conserving the threatened Reeves's Pheasant and provides genomic resources for global biodiversity management.

Conservation geneticsLocal adaptationPheasantWhole-genome sequencing

Qi Lu、Pengcheng Wang、Jiang Chang、De Chen、Shenghan Gao、Jacob H?glund、Zhengwang Zhang

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Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering,College of Life Sciences,Beijing Normal University,Beijing,100875,China

Jiangsu Key Laboratory for Biodiversity and Biotechnology,College of Life Sciences,Nanjing Normal University,Nanjing 210023,China

State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences,Beijing,100012,China

State Key Laboratory of Microbial Resources,Institute of Microbiology,Chinese Academy of Sciences,Beijing,100101,China

Department of Ecology and Genetics,Animal Ecology,Uppsala University,Uppsala,Sweden

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Biodiversity Survey,Monitoring and Assessment Projectof the Ministry of Ecology and Envi-ronment,China(2019-2023)国家自然科学基金Endangered Species Sci-entific Commission of ChinaChina Scholarship Council,China

2019HB2096001006316723192022-331

2024

鸟类学研究(英文版)
北京林业大学

鸟类学研究(英文版)

影响因子:0.553
ISSN:2055-6187
年,卷(期):2024.15(1)
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