Genomic Variation, Population History, and Long-Term Genetic Adaptation to High Altitudes in Tibetan Partridge (Perdix hodgsoniae).

"to recover mitochondrial genomes we used genomic and transcriptomic short sequence reads in the mitobim ( ) pipeline using publicly available mitochondrial dna from p hodgsoniae (genbank eu845766 ) as a bait.; data availability all raw data (illumina sequencing reads) and reference genome of p hodgsoniae have been submitted to ncbi under bioproject accession number prjna896916. data availability all raw data (illumina sequencing reads) and reference genome of p hodgsoniae have been submitted to ncbi under bioproject accession number prjna896916"

"scripts and workflow for all analyses done in this paper is available on our lab github page ( https://github com/sangeet2019/tibetan_partridge )."

"Conflict of interest statement. None declared."

"Sampling for this study received authorization from the National Forestry and Grassland Administration in China. The fieldwork was funded through the Central Forestry and Grassland Ecological Protection and Restoration Fund in Qinghai Province, as well as the National Survey on Terrestrial Wildlife Resources in China to N.W. We extend our gratitude to the staffs at National Forestry and Grassland Administration of China, as well as the Forestry and Grassland Administration of Qinghai, Sichuan, and Tibetan provinces, China, for their support throughout the project. We also wish to acknowledge Geoffrey Davison and Zhai Hao for providing samples of Grey and Daurian Partridge that was used for this study. Additionally, we extend our appreciation to Dr. William Davis for his valuable assistance in conducting the bioinformatic analysis of the genomics data and to Professor Andrea Case for providing insightful suggestions throughout the project design and implementation. This project received support from the Wenner-Gren Foundation in Sweden and the Department of Biological Sciences at Kent State University to S.L. N.D. was supported by INSPIRE Faculty Award (grant number: DST/INSPIRE/04/2018/001587) from Department of Science and Technology (DST), Govt. of India."