作者
Tianming Lan,Shangchen Yang,Haimeng Li,Yi Zhang,Rengui Li,Sunil Kumar Sahu,Wenwen Deng,Boyang Liu,Minhui Shi,Shiqing Wang,Hanyu Du,Xiaoyu Huang,Haorong Lu,Shanlin Liu,Tao Deng,Ming‐Huei Chen,Qing Wang,Lei Han,Yajie Zhou,Qiye Li,Desheng Li,Karsten Kristiansen,Qiu‐Hong Wan,Huan Liu,Sheng‐Guo Fang
摘要
The extinction risk of the giant panda has been demoted from “endangered” to “vulnerable” on the International Union for Conservation of Nature Red List, but its habitat is more fragmented than ever before, resulting in 33 isolated giant panda populations according to the fourth national survey released by the Chinese government. Further comprehensive investigations of the genetic background and in-depth assessments of the conservation status of wild populations are still necessary and urgently needed. Here, we sequenced the genomes of 612 giant pandas with an average depth of ~26× and generated a high-resolution map of genomic variation with more than 20 million variants covering wild individuals from six mountain ranges and captive representatives in China. We identified distinct genetic clusters within the Minshan population by performing a fine-grained genetic structure. The estimation of inbreeding and genetic load associated with historical population dynamics suggested that future conservation efforts should pay special attention to the Qinling and Liangshan populations. Releasing captive individuals with a genetic background similar to the recipient population appears to be an advantageous genetic rescue strategy for recovering the wild giant panda populations, as this approach introduces fewer deleterious mutations into the wild population than mating with differentiated lineages. These findings emphasize the superiority of large-scale population genomics to provide precise guidelines for future conservation of the giant panda.