Literature DB >> 27555581

Population Genomics Reveals Low Genetic Diversity and Adaptation to Hypoxia in Snub-Nosed Monkeys.

Xuming Zhou1, Xuehong Meng2, Zhijin Liu3, Jiang Chang4, Boshi Wang3, Mingzhou Li5, Pablo Orozco-Ter Wengel6, Shilin Tian7, Changlong Wen8, Ziming Wang3, Paul A Garber9, Huijuan Pan10, Xinping Ye11, Zuofu Xiang12, Michael W Bruford6, Scott V Edwards13, Yinchuan Cao2, Shuancang Yu8, Lianju Gao2, Zhisheng Cao2, Guangjian Liu3, Baoping Ren3, Fanglei Shi3, Zalan Peterfi14, Dayong Li15, Baoguo Li16, Zhi Jiang2, Junsheng Li4, Vadim N Gladyshev14, Ruiqiang Li17, Ming Li18.   

Abstract

Snub-nosed monkeys (genus Rhinopithecus) are a group of endangered colobines endemic to South Asia. Here, we re-sequenced the whole genomes of 38 snub-nosed monkeys representing four species within this genus. By conducting population genomic analyses, we observed a similar load of deleterious variation in snub-nosed monkeys living in both smaller and larger populations and found that genomic diversity was lower than that reported in other primates. Reconstruction of Rhinopithecus evolutionary history suggested that episodes of climatic variation over the past 2 million years, associated with glacial advances and retreats and population isolation, have shaped snub-nosed monkey demography and evolution. We further identified several hypoxia-related genes under selection in R. bieti (black snub-nosed monkey), a species that exploits habitats higher than any other nonhuman primate. These results provide the first detailed and comprehensive genomic insights into genetic diversity, demography, genetic burden, and adaptation in this radiation of endangered primates.
© The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  demographics; genetic adaptation; genetic diversity; population genomics; snub-nosed monkeys

Mesh:

Year:  2016        PMID: 27555581     DOI: 10.1093/molbev/msw150

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  20 in total

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4.  Sex differences in habitat use, positional behavior, and gaits of Golden Snub-Nosed Monkeys (Rhinopithecus roxellana) in the Qinling Mountains, Shaanxi, China.

Authors:  Dionisios Youlatos; Michael C Granatosky; Roula Al Belbeisi; Gang He; Songtao Guo; Baoguo Li
Journal:  Primates       Date:  2021-03-10       Impact factor: 2.163

5.  Evolutionary adaptation revealed by comparative genome analysis of woolly mammoths and elephants.

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Journal:  DNA Res       Date:  2017-08-01       Impact factor: 4.458

6.  Resequencing and comparison of whole mitochondrial genome to gain insight into the evolutionary status of the Shennongjia golden snub-nosed monkey (SNJ R. roxellana).

Authors:  Yanyun Hong; Hairui Duo; Juyun Hong; Jinyuan Yang; Shiming Liu; Lianghui Yu; Tuyong Yi
Journal:  Ecol Evol       Date:  2017-05-15       Impact factor: 2.912

7.  Identification and expression analysis of lncRNA in seven organs of Rhinopithecus roxellana.

Authors:  Lan Jiang; Qiao Yang; Jianqiu Yu; Xuanzhen Liu; Yansen Cai; Lili Niu; Jing Li
Journal:  Funct Integr Genomics       Date:  2021-07-21       Impact factor: 3.410

8.  Selection of reference genes for qRT-PCR and expression analysis of high-altitude-related genes in grassland caterpillars (Lepidoptera: Erebidae: Gynaephora) along an altitude gradient.

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Journal:  Ecol Evol       Date:  2017-09-25       Impact factor: 2.912

9.  Population genomics of finless porpoises reveal an incipient cetacean species adapted to freshwater.

Authors:  Xuming Zhou; Xuanmin Guang; Di Sun; Shixia Xu; Mingzhou Li; Inge Seim; Wencai Jie; Linfeng Yang; Qianhua Zhu; Jiabao Xu; Qiang Gao; Alaattin Kaya; Qianhui Dou; Bingyao Chen; Wenhua Ren; Shuaicheng Li; Kaiya Zhou; Vadim N Gladyshev; Rasmus Nielsen; Xiaodong Fang; Guang Yang
Journal:  Nat Commun       Date:  2018-04-10       Impact factor: 14.919

10.  Resequencing core accessions of a pedigree identifies derivation of genomic segments and key agronomic trait loci during cotton improvement.

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Journal:  Plant Biotechnol J       Date:  2018-10-18       Impact factor: 9.803

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