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Genome, annotations and SNPs for the green peafowl and associated scripts

Cite this dataset

Dong, Feng et al. (2021). Genome, annotations and SNPs for the green peafowl and associated scripts [Dataset]. Dryad.


Both anthropogenic impacts and historical climate change could contribute to population decline and species extinction, but their relative importance has yet to be determined. Emerging approaches based on genomic, climatic and anthropogenic data provide a promising analytical framework to address this question. This study applied such an integrative approach to examine potential drivers for endangerment of the green peafowl (Pavo muticus). Several demographic reconstructions based on population genomes congruently retrieved a drastic population declination since the mid-Holocene. Furthermore, comparison between historical and modern genomes suggested genetic diversity decrease during the last 50 years. However, climate-based ecological niche models predicted general range stationarity during these periods and imply little impact of climate change. Further analyses suggested that human activity intensities were negatively correlated with the green peafowl’s effective population sizes and significantly associated with its survival statuses (extirpation or persistence). Archaeological and historical records corroborate the critical role of humans, leaving the footprint of low genomic diversity and high inbreeding in the surviving populations. This study sheds light on the potential deep-time effects of human disturbance on species endangerment and on the whole, offers immediately a multi-evidential approach in examining underlying forces for population declines.


The pseudo-chromosomes were generated by mapping assembled scaffolds of the green peafowl's genome assembly (GenBank accession: JACDJE000000000) into of the chicken assembly (GenBank accession: GCA_000002315.5, hereafter the chicken genome) via synteny using Chromosemble in Satsuma v2.0.

The annotations were obtained using MAKER v2.31.10.



National Natural Science Foundation of China, Award: 31872255

National Natural Science Foundation of China, Award: 31772437