Literature DB >> 26412128

Evolutionary Genomics and Conservation of the Endangered Przewalski's Horse.

Clio Der Sarkissian1, Luca Ermini1, Mikkel Schubert1, Melinda A Yang2, Pablo Librado1, Matteo Fumagalli3, Hákon Jónsson1, Gila Kahila Bar-Gal4, Anders Albrechtsen5, Filipe G Vieira1, Bent Petersen6, Aurélien Ginolhac1, Andaine Seguin-Orlando7, Kim Magnussen7, Antoine Fages1, Cristina Gamba1, Belen Lorente-Galdos8, Sagi Polani4, Cynthia Steiner9, Markus Neuditschko10, Vidhya Jagannathan11, Claudia Feh12, Charles L Greenblatt13, Arne Ludwig14, Natalia I Abramson15, Waltraut Zimmermann16, Renate Schafberg17, Alexei Tikhonov18, Thomas Sicheritz-Ponten6, Eske Willerslev1, Tomas Marques-Bonet19, Oliver A Ryder9, Molly McCue20, Stefan Rieder10, Tosso Leeb11, Montgomery Slatkin2, Ludovic Orlando21.   

Abstract

Przewalski's horses (PHs, Equus ferus ssp. przewalskii) were discovered in the Asian steppes in the 1870s and represent the last remaining true wild horses. PHs became extinct in the wild in the 1960s but survived in captivity, thanks to major conservation efforts. The current population is still endangered, with just 2,109 individuals, one-quarter of which are in Chinese and Mongolian reintroduction reserves [1]. These horses descend from a founding population of 12 wild-caught PHs and possibly up to four domesticated individuals [2-4]. With a stocky build, an erect mane, and stripped and short legs, they are phenotypically and behaviorally distinct from domesticated horses (DHs, Equus caballus). Here, we sequenced the complete genomes of 11 PHs, representing all founding lineages, and five historical specimens dated to 1878-1929 CE, including the Holotype. These were compared to the hitherto-most-extensive genome dataset characterized for horses, comprising 21 new genomes. We found that loci showing the most genetic differentiation with DHs were enriched in genes involved in metabolism, cardiac disorders, muscle contraction, reproduction, behavior, and signaling pathways. We also show that DH and PH populations split ∼45,000 years ago and have remained connected by gene-flow thereafter. Finally, we monitor the genomic impact of ∼110 years of captivity, revealing reduced heterozygosity, increased inbreeding, and variable introgression of domestic alleles, ranging from non-detectable to as much as 31.1%. This, together with the identification of ancestry informative markers and corrections to the International Studbook, establishes a framework for evaluating the persistence of genetic variation in future reintroduced populations.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26412128      PMCID: PMC5104162          DOI: 10.1016/j.cub.2015.08.032

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


  30 in total

1.  Recalibrating Equus evolution using the genome sequence of an early Middle Pleistocene horse.

Authors:  Ludovic Orlando; Aurélien Ginolhac; Guojie Zhang; Duane Froese; Anders Albrechtsen; Mathias Stiller; Mikkel Schubert; Enrico Cappellini; Bent Petersen; Ida Moltke; Philip L F Johnson; Matteo Fumagalli; Julia T Vilstrup; Maanasa Raghavan; Thorfinn Korneliussen; Anna-Sapfo Malaspinas; Josef Vogt; Damian Szklarczyk; Christian D Kelstrup; Jakob Vinther; Andrei Dolocan; Jesper Stenderup; Amhed M V Velazquez; James Cahill; Morten Rasmussen; Xiaoli Wang; Jiumeng Min; Grant D Zazula; Andaine Seguin-Orlando; Cecilie Mortensen; Kim Magnussen; John F Thompson; Jacobo Weinstock; Kristian Gregersen; Knut H Røed; Véra Eisenmann; Carl J Rubin; Donald C Miller; Douglas F Antczak; Mads F Bertelsen; Søren Brunak; Khaled A S Al-Rasheid; Oliver Ryder; Leif Andersson; John Mundy; Anders Krogh; M Thomas P Gilbert; Kurt Kjær; Thomas Sicheritz-Ponten; Lars Juhl Jensen; Jesper V Olsen; Michael Hofreiter; Rasmus Nielsen; Beth Shapiro; Jun Wang; Eske Willerslev
Journal:  Nature       Date:  2013-06-26       Impact factor: 49.962

2.  Mitochondrial control region and 12S rRNA variation in Przewalski's horse (Equus przewalskii).

Authors:  E A Oakenfull; O A Ryder
Journal:  Anim Genet       Date:  1998-12       Impact factor: 3.169

3.  Multiple sulfatase deficiency.

Authors:  B W Soong; A C Casamassima; J K Fink; G Constantopoulos; A L Horwitz
Journal:  Neurology       Date:  1988-08       Impact factor: 9.910

4.  Horse domestication and conservation genetics of Przewalski's horse inferred from sex chromosomal and autosomal sequences.

Authors:  Allison N Lau; Lei Peng; Hiroki Goto; Leona Chemnick; Oliver A Ryder; Kateryna D Makova
Journal:  Mol Biol Evol       Date:  2008-10-17       Impact factor: 16.240

5.  CHROMOSOME COMPLEMENT: DIFFERENCES BETWEEN EQUUS CABALLUS AND EQUUS PRZEWALSKII, POLIAKOFF.

Authors:  K BENIRSCHKE; N MALOUF; R J LOW; H HECK
Journal:  Science       Date:  1965-04-16       Impact factor: 47.728

6.  Limited number of patrilines in horse domestication.

Authors:  Gabriella Lindgren; Niclas Backström; June Swinburne; Linda Hellborg; Annika Einarsson; Kaj Sandberg; Gus Cothran; Carles Vilà; Matthew Binns; Hans Ellegren
Journal:  Nat Genet       Date:  2004-03-14       Impact factor: 38.330

7.  The complete genome sequence of a Neanderthal from the Altai Mountains.

Authors:  Kay Prüfer; Fernando Racimo; Nick Patterson; Flora Jay; Sriram Sankararaman; Susanna Sawyer; Anja Heinze; Gabriel Renaud; Peter H Sudmant; Cesare de Filippo; Heng Li; Swapan Mallick; Michael Dannemann; Qiaomei Fu; Martin Kircher; Martin Kuhlwilm; Michael Lachmann; Matthias Meyer; Matthias Ongyerth; Michael Siebauer; Christoph Theunert; Arti Tandon; Priya Moorjani; Joseph Pickrell; James C Mullikin; Samuel H Vohr; Richard E Green; Ines Hellmann; Philip L F Johnson; Hélène Blanche; Howard Cann; Jacob O Kitzman; Jay Shendure; Evan E Eichler; Ed S Lein; Trygve E Bakken; Liubov V Golovanova; Vladimir B Doronichev; Michael V Shunkov; Anatoli P Derevianko; Bence Viola; Montgomery Slatkin; David Reich; Janet Kelso; Svante Pääbo
Journal:  Nature       Date:  2013-12-18       Impact factor: 49.962

8.  Copy number variation in the horse genome.

Authors:  Sharmila Ghosh; Zhipeng Qu; Pranab J Das; Erica Fang; Rytis Juras; E Gus Cothran; Sue McDonell; Daniel G Kenney; Teri L Lear; David L Adelson; Bhanu P Chowdhary; Terje Raudsepp
Journal:  PLoS Genet       Date:  2014-10-23       Impact factor: 5.917

9.  Genomic evidence for island population conversion resolves conflicting theories of polar bear evolution.

Authors:  James A Cahill; Richard E Green; Tara L Fulton; Mathias Stiller; Flora Jay; Nikita Ovsyanikov; Rauf Salamzade; John St John; Ian Stirling; Montgomery Slatkin; Beth Shapiro
Journal:  PLoS Genet       Date:  2013-03-14       Impact factor: 5.917

10.  The tiger genome and comparative analysis with lion and snow leopard genomes.

Authors:  Yun Sung Cho; Li Hu; Haolong Hou; Hang Lee; Jiaohui Xu; Soowhan Kwon; Sukhun Oh; Hak-Min Kim; Sungwoong Jho; Sangsoo Kim; Young-Ah Shin; Byung Chul Kim; Hyunmin Kim; Chang-Uk Kim; Shu-Jin Luo; Warren E Johnson; Klaus-Peter Koepfli; Anne Schmidt-Küntzel; Jason A Turner; Laurie Marker; Cindy Harper; Susan M Miller; Wilhelm Jacobs; Laura D Bertola; Tae Hyung Kim; Sunghoon Lee; Qian Zhou; Hyun-Ju Jung; Xiao Xu; Priyvrat Gadhvi; Pengwei Xu; Yingqi Xiong; Yadan Luo; Shengkai Pan; Caiyun Gou; Xiuhui Chu; Jilin Zhang; Sanyang Liu; Jing He; Ying Chen; Linfeng Yang; Yulan Yang; Jiaju He; Sha Liu; Junyi Wang; Chul Hong Kim; Hwanjong Kwak; Jong-Soo Kim; Seungwoo Hwang; Junsu Ko; Chang-Bae Kim; Sangtae Kim; Damdin Bayarlkhagva; Woon Kee Paek; Seong-Jin Kim; Stephen J O'Brien; Jun Wang; Jong Bhak
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

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  52 in total

1.  When chickens go wild.

Authors:  Ewen Callaway
Journal:  Nature       Date:  2016-01-21       Impact factor: 49.962

2.  Ancient and modern DNA reveal dynamics of domestication and cross-continental dispersal of the dromedary.

Authors:  Faisal Almathen; Pauline Charruau; Elmira Mohandesan; Joram M Mwacharo; Pablo Orozco-terWengel; Daniel Pitt; Abdussamad M Abdussamad; Margarethe Uerpmann; Hans-Peter Uerpmann; Bea De Cupere; Peter Magee; Majed A Alnaqeeb; Bashir Salim; Abdul Raziq; Tadelle Dessie; Omer M Abdelhadi; Mohammad H Banabazi; Marzook Al-Eknah; Chris Walzer; Bernard Faye; Michael Hofreiter; Joris Peters; Olivier Hanotte; Pamela A Burger
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-09       Impact factor: 11.205

3.  Whole genome sequencing analysis of horse populations inhabiting the Korean Peninsula and Przewalski's horse.

Authors:  Ha-Seung Seong; Nam-Young Kim; Dae Cheol Kim; Nam-Hyun Hwang; Da-Hye Son; Jong Suh Shin; Joon-Hee Lee; Won-Hyong Chung; Jung-Woo Choi
Journal:  Genes Genomics       Date:  2019-04-02       Impact factor: 1.839

4.  Bayesian Inference of Natural Selection from Allele Frequency Time Series.

Authors:  Joshua G Schraiber; Steven N Evans; Montgomery Slatkin
Journal:  Genetics       Date:  2016-03-23       Impact factor: 4.562

5.  Back to the roots and routes of dromedary domestication.

Authors:  Ludovic Orlando
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-25       Impact factor: 11.205

6.  Estimation of Natural Selection and Allele Age from Time Series Allele Frequency Data Using a Novel Likelihood-Based Approach.

Authors:  Zhangyi He; Xiaoyang Dai; Mark Beaumont; Feng Yu
Journal:  Genetics       Date:  2020-08-07       Impact factor: 4.562

7.  Detecting and Quantifying Natural Selection at Two Linked Loci from Time Series Data of Allele Frequencies with Forward-in-Time Simulations.

Authors:  Zhangyi He; Xiaoyang Dai; Mark Beaumont; Feng Yu
Journal:  Genetics       Date:  2020-08-21       Impact factor: 4.562

8.  Complete mitochondrial genome sequences of Korean native horse from Jeju Island: uncovering the spatio-temporal dynamics.

Authors:  Sook Hee Yoon; Jaemin Kim; Donghyun Shin; Seoae Cho; Woori Kwak; Hak-Kyo Lee; Kyoung-Do Park; Heebal Kim
Journal:  Mol Biol Rep       Date:  2017-04-21       Impact factor: 2.316

9.  Distribution of coat-color-associated alleles in the domestic horse population and Przewalski's horse.

Authors:  Monika Reissmann; Lutfi Musa; Sonia Zakizadeh; Arne Ludwig
Journal:  J Appl Genet       Date:  2016-05-18       Impact factor: 3.240

10.  Tracking the origins of Yakutian horses and the genetic basis for their fast adaptation to subarctic environments.

Authors:  Pablo Librado; Clio Der Sarkissian; Luca Ermini; Mikkel Schubert; Hákon Jónsson; Anders Albrechtsen; Matteo Fumagalli; Melinda A Yang; Cristina Gamba; Andaine Seguin-Orlando; Cecilie D Mortensen; Bent Petersen; Cindi A Hoover; Belen Lorente-Galdos; Artem Nedoluzhko; Eugenia Boulygina; Svetlana Tsygankova; Markus Neuditschko; Vidhya Jagannathan; Catherine Thèves; Ahmed H Alfarhan; Saleh A Alquraishi; Khaled A S Al-Rasheid; Thomas Sicheritz-Ponten; Ruslan Popov; Semyon Grigoriev; Anatoly N Alekseev; Edward M Rubin; Molly McCue; Stefan Rieder; Tosso Leeb; Alexei Tikhonov; Eric Crubézy; Montgomery Slatkin; Tomas Marques-Bonet; Rasmus Nielsen; Eske Willerslev; Juha Kantanen; Egor Prokhortchouk; Ludovic Orlando
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-23       Impact factor: 11.205

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