Literature DB >> 29249659

Genomic Analysis of Demographic History and Ecological Niche Modeling in the Endangered Sumatran Rhinoceros Dicerorhinus sumatrensis.

Herman L Mays1, Chih-Ming Hung2, Pei-Jen Shaner3, James Denvir4, Megan Justice4, Shang-Fang Yang2, Terri L Roth5, David A Oehler6, Jun Fan4, Swanthana Rekulapally4, Donald A Primerano4.   

Abstract

The vertebrate extinction rate over the past century is approximately 22-100 times greater than background extinction rates [1], and large mammals are particularly at risk [2, 3]. Quaternary megafaunal extinctions have been attributed to climate change [4], overexploitation [5], or a combination of the two [6]. Rhinoceroses (Family: Rhinocerotidae) have a rich fossil history replete with iconic examples of climate-induced extinctions [7], but current pressures threaten to eliminate this group entirely. The Sumatran rhinoceros (Dicerorhinus sumatrensis) is among the most imperiled mammals on earth. The 2011 population was estimated at ≤216 wild individuals [8], and currently the species is extirpated, or nearly so, throughout the majority of its former range [8-12]. Understanding demographic history is important in placing current population status into a broader ecological and evolutionary context. Analysis of the Sumatran rhinoceros genome reveals extreme changes in effective population size throughout the Pleistocene. Population expansion during the early to middle Pleistocene was followed by decline. Ecological niche modeling indicated that changing climate most likely played a role in the decline of the Sumatran rhinoceros, as less suitable habitat on an emergent Sundaland corridor isolated Sumatran rhinoceros populations. By the end of the Pleistocene, the Sundaland corridor was submerged, and populations were fragmented and consequently reduced to low Holocene levels from which they would never recover. Past events denuded the Sumatran rhinoceros of genetic diversity through population decline, fragmentation, or some combination of the two and most likely made the species even more susceptible to later exploitation and habitat loss. VIDEO ABSTRACT.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Pleistocene; Sundaland; demography; ecological niche modeling; evolution; pairwise sequentially Markovian coalescent; rhinoceros; whole-genome sequencing

Mesh:

Year:  2017        PMID: 29249659      PMCID: PMC5894340          DOI: 10.1016/j.cub.2017.11.021

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  43 in total

1.  PALEOECOLOGY. Abrupt warming events drove Late Pleistocene Holarctic megafaunal turnover.

Authors:  Alan Cooper; Chris Turney; Konrad A Hughen; Barry W Brook; H Gregory McDonald; Corey J A Bradshaw
Journal:  Science       Date:  2015-07-23       Impact factor: 47.728

2.  Multiple causes of high extinction risk in large mammal species.

Authors:  Marcel Cardillo; Georgina M Mace; Kate E Jones; Jon Bielby; Olaf R P Bininda-Emonds; Wes Sechrest; C David L Orme; Andy Purvis
Journal:  Science       Date:  2005-07-21       Impact factor: 47.728

3.  Ecosystem collapse in Pleistocene Australia and a human role in megafaunal extinction.

Authors:  Gifford H Miller; Marilyn L Fogel; John W Magee; Michael K Gagan; Simon J Clarke; Beverly J Johnson
Journal:  Science       Date:  2005-07-08       Impact factor: 47.728

4.  DNA index, genome size, and electronic nuclear volume of vertebrates from the Miami Metro Zoo.

Authors:  Awtar Krishan; Payal Dandekar; Nirmal Nathan; Ronald Hamelik; Christine Miller; Jackie Shaw
Journal:  Cytometry A       Date:  2005-05       Impact factor: 4.355

5.  BLAST+: architecture and applications.

Authors:  Christiam Camacho; George Coulouris; Vahram Avagyan; Ning Ma; Jason Papadopoulos; Kevin Bealer; Thomas L Madden
Journal:  BMC Bioinformatics       Date:  2009-12-15       Impact factor: 3.169

6.  Estimating variable effective population sizes from multiple genomes: a sequentially markov conditional sampling distribution approach.

Authors:  Sara Sheehan; Kelley Harris; Yun S Song
Journal:  Genetics       Date:  2013-04-22       Impact factor: 4.562

7.  Ancient DNA analysis reveals woolly rhino evolutionary relationships.

Authors:  Ludovic Orlando; Jennifer A Leonard; Aurélie Thenot; Vincent Laudet; Claude Guerin; Catherine Hänni
Journal:  Mol Phylogenet Evol       Date:  2003-09       Impact factor: 4.286

8.  A massively parallel sequencing approach uncovers ancient origins and high genetic variability of endangered Przewalski's horses.

Authors:  Hiroki Goto; Oliver A Ryder; Allison R Fisher; Bryant Schultz; Sergei L Kosakovsky Pond; Anton Nekrutenko; Kateryna D Makova
Journal:  Genome Biol Evol       Date:  2011-07-29       Impact factor: 3.416

9.  Inference of human population history from individual whole-genome sequences.

Authors:  Heng Li; Richard Durbin
Journal:  Nature       Date:  2011-07-13       Impact factor: 49.962

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

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  16 in total

1.  Complete genomes of two extinct New Zealand passerines show responses to climate fluctuations but no evidence for genomic erosion prior to extinction.

Authors:  Nicolas Dussex; Johanna von Seth; Michael Knapp; Olga Kardailsky; Bruce C Robertson; Love Dalén
Journal:  Biol Lett       Date:  2019-09-04       Impact factor: 3.703

2.  Fluctuating fortunes: genomes and habitat reconstructions reveal global climate-mediated changes in bats' genetic diversity.

Authors:  Balaji Chattopadhyay; Kritika M Garg; Rajasri Ray; Frank E Rheindt
Journal:  Proc Biol Sci       Date:  2019-09-18       Impact factor: 5.349

Review 3.  Inference of population history using coalescent HMMs: review and outlook.

Authors:  Jeffrey P Spence; Matthias Steinrücken; Jonathan Terhorst; Yun S Song
Journal:  Curr Opin Genet Dev       Date:  2018-07-26       Impact factor: 5.578

4.  Life-history traits and habitat availability shape genomic diversity in birds: implications for conservation.

Authors:  Anna Brüniche-Olsen; Kenneth F Kellner; Jerrold L Belant; J Andrew DeWoody
Journal:  Proc Biol Sci       Date:  2021-10-27       Impact factor: 5.349

5.  Niches of nine mangrove species in a Sonneratia apetala-colonized area of Dongzhai Harbor, Hainan Island, China.

Authors:  Feng Wu; Baowen Liao; Yujun Chen; Zhongmao Jiang; Yunpeng Guo; Mei Li
Journal:  Ecol Evol       Date:  2020-10-04       Impact factor: 2.912

6.  Population genomic, climatic and anthropogenic evidence suggest the role of human forces in endangerment of green peafowl (Pavo muticus).

Authors:  Feng Dong; Hao-Chih Kuo; Guo-Ling Chen; Fei Wu; Peng-Fei Shan; Jie Wang; Fu-Min Lei; Chih-Ming Hung; Yang Liu; Xiao-Jun Yang
Journal:  Proc Biol Sci       Date:  2021-04-07       Impact factor: 5.349

7.  Repetitive genomic regions and the inference of demographic history.

Authors:  Ajinkya Bharatraj Patil; Nagarjun Vijay
Journal:  Heredity (Edinb)       Date:  2021-05-17       Impact factor: 3.832

8.  Contemporary Demographic Reconstruction Methods Are Robust to Genome Assembly Quality: A Case Study in Tasmanian Devils.

Authors:  Austin H Patton; Mark J Margres; Amanda R Stahlke; Sarah Hendricks; Kevin Lewallen; Rodrigo K Hamede; Manuel Ruiz-Aravena; Oliver Ryder; Hamish I McCallum; Menna E Jones; Paul A Hohenlohe; Andrew Storfer
Journal:  Mol Biol Evol       Date:  2019-12-01       Impact factor: 16.240

Review 9.  Gene Flow in Volant Vertebrates: Species Biology, Ecology and Climate Change.

Authors:  Kritika M Garg; Balaji Chattopadhyay
Journal:  J Indian Inst Sci       Date:  2021-06-16

Review 10.  An analysis of threats, strategies, and opportunities for African rhinoceros conservation.

Authors:  Admire Chanyandura; Victor K Muposhi; Edson Gandiwa; Never Muboko
Journal:  Ecol Evol       Date:  2021-05-01       Impact factor: 2.912

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