Adaptive radiation and population genetics of different ecotypes in the Rattini tribe (Rodentia:Murinae)
Source: CNGBdb Project (ID CNP0001167)
CC BY 4

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Project name: Adaptive radiation and population genetics of different ecotypes in the Rattini tribe (Rodentia:Murinae)
Description: The accelerated biodiversity loss of small mammals highlighted the importance of research on the origination, evolution, dispersal and demographic dynamics of rodents. Rattini (Rodentia: Murinae) represents the most successful mammals that showed adaptive radiation in Asia since the late Miocene. The phylogeny and taxonomy, as well as population status of most species within this taxa remain poorly studied. In the present study, we are going to study on this taxa by integrating materials and well established techniques from cooperators who are come from the Institute of Zoology, Chinese Academy of Sciences, Natural History Museum and Imperial College of London, and the Zoological Institute, Russian Academy of Sciences. We propose to revise the taxonomy, reconstruct the phylogeny, recalibrate the divergence time, and explore the population genetics of different ecotypes in Rattini. By integrating traditional morphometrics and geometric morphometrics as well as techniques implemented in Geographical Information System (GIS), we want to interpret the morphological evolution of this taxon at the macro-evolutionary scale. Based on these studies, we aim to provide a novel perspective on the species of this taxon in China, to reconstruct a robust tree of Rattini, to understand the future population dynamics of different eco-types, to explore the mechanisms underlying the ecological amplitudes of different eco-types, and to reveal evolutionary schemes of important traits and functional structures in these animals.
Data type: Raw sequence reads
Sample scope: Multispecies
Relevance: Evolution
Submitter: 德燕 葛; 中国科学院动物研究所
Literatures
  1. PMID: 33386846
Release date: 2021-11-21
Last updated: 2020-11-06
Statistics: 18 samples; 18 experiments; 18 runs
Data size: 309.99GB