High environmental factors such as hypoxia, low temperature and strong ultraviolet light are important issues for the survival of high-altitude species. Therefore, the genetic basis of plateau adaptation has become a hot spot in current biological science research. .. However, most of the current research is on eutrophic animals, and the understanding of exotrophic animals, which account for most of the biodiversity, is still insufficient.
Fu Jinzhong's research team at the Institute of Amphibians and Reptiles, Chengdu Institute of Biology, Chinese Academy of Sciences, has been working on the genetic basis of plateau adaptation. Lizards are widely distributed in East Asia and Central Asia, and some lizards live in environments above 3000 meters above sea level. In this study, the Qinghai sand lizard (Phrynocephalus vlangalii, 3464 m above sea level) and its related desert sand lizard (Phrynocephalus przewalskii, 1153 m above sea level) were used as low altitude control. These are obtained through high-throughput RNA-seq technology. Most protein-coding genes are analyzed based on the published genomes of Anole Lizard, Chicken and Chinese Shell Turtle. Analyzing the evolutionary history of all genes in the sand lizard, found the overall level of the coding genes of the Qinghai sand lizard. The evolution rate of scorpions is higher than that of desert sand lizards, especially scorpions related to anti-hypoxia and organ development. A more neutral test showed that 143 genes were strongly selected in Qinghai sand lizards, including three hypoxia-related genes ADAM17, MD and HSP90B1. Studies have shown that reptiles may adapt to highlands. Similar to endothermic, but further research is needed to support this speculation. At present, the research team is conducting more in-depth research on lizards and has achieved preliminary results.
This research was funded by the open project of the Key Institute of Mountain Ecological Restoration and Utilization of Biological Resources of the Chinese Academy of Sciences, the "Hundred Talents Program" of Sichuan Province and the Knowledge Innovation Project of the Chinese Academy of Sciences.