| Literature DB >> 36161902 |
Ming-Li Li1,2, Sheng Wang1, Penghui Xu3,4, Hang-Yu Tian1,5, Mixue Bai3,4, Ya-Ping Zhang1,5, Yong Shao1, Zi-Jun Xiong1, Xiao-Guang Qi6, David N Cooper7, Guojie Zhang1,8,9,10, He Helen Zhu3,4, Dong-Dong Wu1,8,11,12.
Abstract
Lorises are a group of globally threatened strepsirrhine primates that exhibit many unusual physiological and behavioral features, including a low metabolic rate, slow movement, and hibernation. Here, we assembled a chromosome-level genome sequence of the pygmy loris (Xanthonycticebus pygmaeus) and resequenced whole genomes from 50 pygmy lorises and 6 Bengal slow lorises (Nycticebus bengalensis). We found that many gene families involved in detoxification have been specifically expanded in the pygmy loris, including the GSTA gene family, with many newly derived copies functioning specifically in the liver. We detected many genes displaying evolutionary convergence between pygmy loris and koala, including PITRM1. Significant decreases in PITRM1 enzymatic activity in these two species may have contributed to their characteristic low rate of metabolism. We also detected many evolutionarily convergent genes and positively selected genes in the pygmy loris that are involved in muscle development. Functional assays demonstrated the decreased ability of one positively selected gene, MYOF, to up-regulate the fast-type muscle fiber, consistent with the lower proportion of fast-twitch muscle fibers in the pygmy loris. The protein product of another positively selected gene in the pygmy loris, PER2, exhibited weaker binding to the key circadian core protein CRY, a finding that may be related to this species' unusual circadian rhythm. Finally, population genomics analysis revealed that these two extant loris species, which coexist in the same habitat, have exhibited an inverse relationship in terms of their demography over the past 1 million years, implying strong interspecies competition after speciation.Entities:
Keywords: adaptive evolution; demographic history; slow lorises
Mesh:
Substances:
Year: 2022 PMID: 36161902 PMCID: PMC9546566 DOI: 10.1073/pnas.2123030119
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 12.779