Demographic History and Genomic Response to Environmental Changes in a Rapid Radiation of Wild Rats

Mol Biol Evol. 2021 May 4;38(5):1905-1923. doi: 10.1093/molbev/msaa334.

Abstract

For organisms to survive and prosper in a harsh environment, particularly under rapid climate change, poses tremendous challenges. Recent studies have highlighted the continued loss of megafauna in terrestrial ecosystems and the subsequent surge of small mammals, such as rodents, bats, lagomorphs, and insectivores. However, the ecological partitioning of these animals will likely lead to large variation in their responses to environmental change. In the present study, we investigated the evolutionary history and genetic adaptations of white-bellied rats (Niviventer Marshall, 1976), which are widespread in the natural terrestrial ecosystems in Asia but also known as important zoonotic pathogen vectors and transmitters. The southeastern Qinghai-Tibet Plateau was inferred as the origin center of this genus, with parallel diversification in temperate and tropical niches. Demographic history analyses from mitochondrial and nuclear sequences of Niviventer demonstrated population size increases and range expansion for species in Southeast Asia, and habitat generalists elsewhere. Unexpectedly, population increases were seen in N. eha, which inhabits the highest elevation among Niviventer species. Genome scans of nuclear exons revealed that among the congeneric species, N. eha has the largest number of positively selected genes. Protein functions of these genes are mainly related to olfaction, taste, and tumor suppression. Extensive genetic modification presents a major strategy in response to global changes in these alpine species.

Keywords: Murinae; demographic history; evolution; micromammals; phylogenomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Altitude
  • Animal Distribution*
  • Animals
  • Climate
  • Climate Change*
  • Genetic Speciation*
  • Murinae / genetics*
  • Phylogeny*
  • Phylogeography
  • Selection, Genetic