FREE SHIPPING over $40
OVER 9000 FIVE-STAR REVIEWS
5% OFF ALL SUBSCRIPTIONS
100% HAPPINESS GUARANTEE
Analyze Diet
0
Home / Equine Research Bank / Natl Sci Rev / Convergent genomic signatures of high-altitude adaptation am...
National science review2019; 7(6); 952-963; doi: 10.1093/nsr/nwz213

Convergent genomic signatures of high-altitude adaptation among domestic mammals.

Abstract: Abundant and diverse domestic mammals living on the Tibetan Plateau provide useful materials for investigating adaptive evolution and genetic convergence. Here, we used 327 genomes from horses, sheep, goats, cattle, pigs and dogs living at both high and low altitudes, including 73 genomes generated for this study, to disentangle the genetic mechanisms underlying local adaptation of domestic mammals. Although molecular convergence is comparatively rare at the DNA sequence level, we found convergent signature of positive selection at the gene level, particularly the gene in these Tibetan domestic mammals. We also reported a potential function in response to hypoxia for the gene , which underwent positive selection in three of the domestic mammals. Our data provide an insight into adaptive evolution of high-altitude domestic mammals, and should facilitate the search for additional novel genes involved in the hypoxia response pathway.
© The Author(s) 2020. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.
Get Full Text
Publication Date: 2019-12-19 PubMed ID: 34692117PubMed Central: PMC8288980DOI: 10.1093/nsr/nwz213Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
LinkedInCopy
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This latest research used an extensive compilation of genomic data to uncover mechanisms that have allowed various species of domestic animals to adapt to the harsh environments present at high altitudes, particularly the hypoxic conditions on the Tibetan Plateau.

Study Overview

  • The study is focused on understanding the genetic patterns that allow domestic animals, including horses, sheep, goats, cattle, pigs, and dogs, to survive in extreme high-altitude environments such as the Tibetan Plateau.
  • The researchers compiled a significant dataset, including 327 genomes from these animals living at various altitudes, and 73 entirely new genomes sequenced exclusively for this study.

Key Findings

  • One of the most significant findings from this study was the observation of convergent positive selection at the gene level, especially in the HIF-1α gene in these Tibetan domestic mammals.
  • Positive selection refers to the preferential survival and reproduction of individuals with certain genetic traits, which may give a species a significant survival advantage in certain environments.
  • The HIF-1α gene plays a key role in the body’s response to low oxygen levels or hypoxia, common in high-altitude conditions. Hence, the evidence of positive selection in this gene implied it played a critical role in the high-altitude adaptation of these animals.
  • The researchers also found evidence of positive selection in the EPAS1 gene in three of the domestic animals. This gene is also known to be involved in the hypoxia response pathway, suggesting it too may play a role in high-altitude adaptation.

Implications and Future Directions

  • The findings provide a new understanding of how adaptive evolution has occurred among high-altitude domestic mammals and how these animals have used genetic change to survive in harsh hypoxic conditions.
  • Additionally, this research can aid future genome studies by identifying specific genes, like HIF-1α and EPAS1, as key targets when studying high-altitude adaptation.

Cite This Article

APA
Wu DD, Yang CP, Wang MS, Dong KZ, Yan DW, Hao ZQ, Fan SQ, Chu SZ, Shen QS, Jiang LP, Li Y, Zeng L, Liu HQ, Xie HB, Ma YF, Kong XY, Yang SL, Dong XX, Esmailizadeh A, Irwin DM, Xiao X, Li M, Dong Y, Wang W, Shi P, Li HP, Ma YH, Gou X, Chen YB, Zhang YP. (2019). Convergent genomic signatures of high-altitude adaptation among domestic mammals. Natl Sci Rev, 7(6), 952-963. https://doi.org/10.1093/nsr/nwz213

Publication

National science review
ISSN: 2053-714X
NlmUniqueID: 101633095
Country: China
Language: English
Volume: 7
Issue: 6
Pages: 952-963

Researcher Affiliations

Wu, Dong-Dong
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Yang, Cui-Ping
  • Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Wang, Ming-Shan
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Dong, Kun-Zhe
  • Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Yan, Da-Wei
  • Key Laboratory of Animal Nutrition and Feed Science of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Hao, Zi-Qian
  • CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Fan, Song-Qing
  • Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha 410011, China.
Chu, Shu-Zhou
  • Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha 410011, China.
Shen, Qiu-Shuo
  • Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Jiang, Li-Ping
  • Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Li, Yan
  • State Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming 650091, China.
Zeng, Lin
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Liu, He-Qun
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Xie, Hai-Bing
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Ma, Yun-Fei
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Kong, Xiao-Yan
  • Key Laboratory of Animal Nutrition and Feed Science of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Yang, Shu-Li
  • Key Laboratory of Animal Nutrition and Feed Science of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Dong, Xin-Xing
  • Key Laboratory of Animal Nutrition and Feed Science of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Esmailizadeh, Ali
  • Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, PB 76169-133, Iran.
Irwin, David M
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Xiao, Xiao
  • Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Li, Ming
  • Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Dong, Yang
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Wang, Wen
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Shi, Peng
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Li, Hai-Peng
  • Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
Ma, Yue-Hui
  • Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Gou, Xiao
  • Key Laboratory of Animal Nutrition and Feed Science of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Chen, Yong-Bin
  • Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Zhang, Ya-Ping
  • State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.

References

This article includes 67 references
  1. Storz JF. Causes of molecular convergence and parallelism in protein evolution.. Nat Rev Genet 2016 Apr;17(4):239-50.
    pmc: PMC5482790pubmed: 26972590doi: 10.1038/nrg.2016.11google scholar: lookup
  2. Tishkoff SA, Reed FA, Ranciaro A, Voight BF, Babbitt CC, Silverman JS, Powell K, Mortensen HM, Hirbo JB, Osman M, Ibrahim M, Omar SA, Lema G, Nyambo TB, Ghori J, Bumpstead S, Pritchard JK, Wray GA, Deloukas P. Convergent adaptation of human lactase persistence in Africa and Europe.. Nat Genet 2007 Jan;39(1):31-40.
    pmc: PMC2672153pubmed: 17159977doi: 10.1038/ng1946google scholar: lookup
  3. Sackton TB, Grayson P, Cloutier A, Hu Z, Liu JS, Wheeler NE, Gardner PP, Clarke JA, Baker AJ, Clamp M, Edwards SV. Convergent regulatory evolution and loss of flight in paleognathous birds.. Science 2019 Apr 5;364(6435):74-78.
    pubmed: 30948549doi: 10.1126/science.aat7244google scholar: lookup
  4. Storz JF, Scott GR, Cheviron ZA. Phenotypic plasticity and genetic adaptation to high-altitude hypoxia in vertebrates.. J Exp Biol 2010 Dec 15;213(Pt 24):4125-36.
    pmc: PMC2992463pubmed: 21112992doi: 10.1242/jeb.048181google scholar: lookup
  5. Cheviron ZA, Brumfield RT. Genomic insights into adaptation to high-altitude environments.. Heredity (Edinb) 2012 Apr;108(4):354-61.
    pmc: PMC3313048pubmed: 21934702doi: 10.1038/hdy.2011.85google scholar: lookup
  6. Qiu Q, Zhang G, Ma T, Qian W, Wang J, Ye Z, Cao C, Hu Q, Kim J, Larkin DM, Auvil L, Capitanu B, Ma J, Lewin HA, Qian X, Lang Y, Zhou R, Wang L, Wang K, Xia J, Liao S, Pan S, Lu X, Hou H, Wang Y, Zang X, Yin Y, Ma H, Zhang J, Wang Z, Zhang Y, Zhang D, Yonezawa T, Hasegawa M, Zhong Y, Liu W, Zhang Y, Huang Z, Zhang S, Long R, Yang H, Wang J, Lenstra JA, Cooper DN, Wu Y, Wang J, Shi P, Wang J, Liu J. The yak genome and adaptation to life at high altitude.. Nat Genet 2012 Jul 1;44(8):946-9.
    pubmed: 22751099doi: 10.1038/ng.2343google scholar: lookup
  7. Wu T, Kayser B. High altitude adaptation in Tibetans.. High Alt Med Biol 2006 Fall;7(3):193-208.
    pubmed: 16978132doi: 10.1089/ham.2006.7.193google scholar: lookup
  8. Storz JF, Runck AM, Sabatino SJ, Kelly JK, Ferrand N, Moriyama H, Weber RE, Fago A. Evolutionary and functional insights into the mechanism underlying high-altitude adaptation of deer mouse hemoglobin.. Proc Natl Acad Sci U S A 2009 Aug 25;106(34):14450-5.
    pmc: PMC2732835pubmed: 19667207doi: 10.1073/pnas.0905224106google scholar: lookup
  9. Storz JF, Sabatino SJ, Hoffmann FG, Gering EJ, Moriyama H, Ferrand N, Monteiro B, Nachman MW. The molecular basis of high-altitude adaptation in deer mice.. PLoS Genet 2007 Mar 30;3(3):e45.
    pmc: PMC1839143pubmed: 17397259doi: 10.1371/journal.pgen.0030045google scholar: lookup
  10. Tufts DM, Natarajan C, Revsbech IG, Projecto-Garcia J, Hoffmann FG, Weber RE, Fago A, Moriyama H, Storz JF. Epistasis constrains mutational pathways of hemoglobin adaptation in high-altitude pikas.. Mol Biol Evol 2015 Feb;32(2):287-98.
    pmc: PMC4298171pubmed: 25415962doi: 10.1093/molbev/msu311google scholar: lookup
  11. Natarajan C, Projecto-Garcia J, Moriyama H, Weber RE, Muñoz-Fuentes V, Green AJ, Kopuchian C, Tubaro PL, Alza L, Bulgarella M, Smith MM, Wilson RE, Fago A, McCracken KG, Storz JF. Convergent Evolution of Hemoglobin Function in High-Altitude Andean Waterfowl Involves Limited Parallelism at the Molecular Sequence Level.. PLoS Genet 2015 Dec;11(12):e1005681.
    pmc: PMC4670201pubmed: 26637114doi: 10.1371/journal.pgen.1005681google scholar: lookup
  12. Simonson TS, Yang Y, Huff CD, Yun H, Qin G, Witherspoon DJ, Bai Z, Lorenzo FR, Xing J, Jorde LB, Prchal JT, Ge R. Genetic evidence for high-altitude adaptation in Tibet.. Science 2010 Jul 2;329(5987):72-5.
    pubmed: 20466884doi: 10.1126/science.1189406google scholar: lookup
  13. Yi X, Liang Y, Huerta-Sanchez E, Jin X, Cuo ZX, Pool JE, Xu X, Jiang H, Vinckenbosch N, Korneliussen TS, Zheng H, Liu T, He W, Li K, Luo R, Nie X, Wu H, Zhao M, Cao H, Zou J, Shan Y, Li S, Yang Q, Asan, Ni P, Tian G, Xu J, Liu X, Jiang T, Wu R, Zhou G, Tang M, Qin J, Wang T, Feng S, Li G, Huasang, Luosang J, Wang W, Chen F, Wang Y, Zheng X, Li Z, Bianba Z, Yang G, Wang X, Tang S, Gao G, Chen Y, Luo Z, Gusang L, Cao Z, Zhang Q, Ouyang W, Ren X, Liang H, Zheng H, Huang Y, Li J, Bolund L, Kristiansen K, Li Y, Zhang Y, Zhang X, Li R, Li S, Yang H, Nielsen R, Wang J, Wang J. Sequencing of 50 human exomes reveals adaptation to high altitude.. Science 2010 Jul 2;329(5987):75-8.
    pmc: PMC3711608pubmed: 20595611doi: 10.1126/science.1190371google scholar: lookup
  14. Ge RL, Cai Q, Shen YY, San A, Ma L, Zhang Y, Yi X, Chen Y, Yang L, Huang Y, He R, Hui Y, Hao M, Li Y, Wang B, Ou X, Xu J, Zhang Y, Wu K, Geng C, Zhou W, Zhou T, Irwin DM, Yang Y, Ying L, Bao H, Kim J, Larkin DM, Ma J, Lewin HA, Xing J, Platt RN 2nd, Ray DA, Auvil L, Capitanu B, Zhang X, Zhang G, Murphy RW, Wang J, Zhang YP, Wang J. Draft genome sequence of the Tibetan antelope.. Nat Commun 2013;4:1858.
    pmc: PMC3674232pubmed: 23673643doi: 10.1038/ncomms2860google scholar: lookup
  15. Qu Y, Zhao H, Han N, Zhou G, Song G, Gao B, Tian S, Zhang J, Zhang R, Meng X, Zhang Y, Zhang Y, Zhu X, Wang W, Lambert D, Ericson PG, Subramanian S, Yeung C, Zhu H, Jiang Z, Li R, Lei F. Ground tit genome reveals avian adaptation to living at high altitudes in the Tibetan plateau.. Nat Commun 2013;4:2071.
    pubmed: 23817352doi: 10.1038/ncomms3071google scholar: lookup
  16. Gou X, Wang Z, Li N, Qiu F, Xu Z, Yan D, Yang S, Jia J, Kong X, Wei Z, Lu S, Lian L, Wu C, Wang X, Li G, Ma T, Jiang Q, Zhao X, Yang J, Liu B, Wei D, Li H, Yang J, Yan Y, Zhao G, Dong X, Li M, Deng W, Leng J, Wei C, Wang C, Mao H, Zhang H, Ding G, Li Y. Whole-genome sequencing of six dog breeds from continuous altitudes reveals adaptation to high-altitude hypoxia.. Genome Res 2014 Aug;24(8):1308-15.
    pmc: PMC4120084pubmed: 24721644doi: 10.1101/gr.171876.113google scholar: lookup
  17. Li Y, Wu DD, Boyko AR, Wang GD, Wu SF, Irwin DM, Zhang YP. Population variation revealed high-altitude adaptation of Tibetan mastiffs.. Mol Biol Evol 2014 May;31(5):1200-5.
    pubmed: 24520091doi: 10.1093/molbev/msu070google scholar: lookup
  18. Wang GD, Fan RX, Zhai W, Liu F, Wang L, Zhong L, Wu H, Yang HC, Wu SF, Zhu CL, Li Y, Gao Y, Ge RL, Wu CI, Zhang YP. Genetic convergence in the adaptation of dogs and humans to the high-altitude environment of the tibetan plateau.. Genome Biol Evol 2014 Aug;6(8):2122-8.
    pmc: PMC4231634pubmed: 25091388doi: 10.1093/gbe/evu162google scholar: lookup
  19. Lorenzo FR, Huff C, Myllymäki M, Olenchock B, Swierczek S, Tashi T, Gordeuk V, Wuren T, Ri-Li G, McClain DA, Khan TM, Koul PA, Guchhait P, Salama ME, Xing J, Semenza GL, Liberzon E, Wilson A, Simonson TS, Jorde LB, Kaelin WG Jr, Koivunen P, Prchal JT. A genetic mechanism for Tibetan high-altitude adaptation.. Nat Genet 2014 Sep;46(9):951-6.
    pmc: PMC4473257pubmed: 25129147doi: 10.1038/ng.3067google scholar: lookup
  20. Foll M, Gaggiotti OE, Daub JT, Vatsiou A, Excoffier L. Widespread signals of convergent adaptation to high altitude in Asia and america.. Am J Hum Genet 2014 Oct 2;95(4):394-407.
    pmc: PMC4185124pubmed: 25262650doi: 10.1016/j.ajhg.2014.09.002google scholar: lookup
  21. Li M, Tian S, Jin L, Zhou G, Li Y, Zhang Y, Wang T, Yeung CK, Chen L, Ma J, Zhang J, Jiang A, Li J, Zhou C, Zhang J, Liu Y, Sun X, Zhao H, Niu Z, Lou P, Xian L, Shen X, Liu S, Zhang S, Zhang M, Zhu L, Shuai S, Bai L, Tang G, Liu H, Jiang Y, Mai M, Xiao J, Wang X, Zhou Q, Wang Z, Stothard P, Xue M, Gao X, Luo Z, Gu Y, Zhu H, Hu X, Zhao Y, Plastow GS, Wang J, Jiang Z, Li K, Li N, Li X, Li R. Genomic analyses identify distinct patterns of selection in domesticated pigs and Tibetan wild boars.. Nat Genet 2013 Dec;45(12):1431-8.
    pubmed: 24162736doi: 10.1038/ng.2811google scholar: lookup
  22. Beall CM, Cavalleri GL, Deng L, Elston RC, Gao Y, Knight J, Li C, Li JC, Liang Y, McCormack M, Montgomery HE, Pan H, Robbins PA, Shianna KV, Tam SC, Tsering N, Veeramah KR, Wang W, Wangdui P, Weale ME, Xu Y, Xu Z, Yang L, Zaman MJ, Zeng C, Zhang L, Zhang X, Zhaxi P, Zheng YT. Natural selection on EPAS1 (HIF2alpha) associated with low hemoglobin concentration in Tibetan highlanders.. Proc Natl Acad Sci U S A 2010 Jun 22;107(25):11459-64.
    pmc: PMC2895075pubmed: 20534544doi: 10.1073/pnas.1002443107google scholar: lookup
  23. Wilson WR, Hay MP. Targeting hypoxia in cancer therapy.. Nat Rev Cancer 2011 Jun;11(6):393-410.
    pubmed: 21606941doi: 10.1038/nrc3064google scholar: lookup
  24. Zhang W, Fan Z, Han E, Hou R, Zhang L, Galaverni M, Huang J, Liu H, Silva P, Li P, Pollinger JP, Du L, Zhang X, Yue B, Wayne RK, Zhang Z. Hypoxia adaptations in the grey wolf (Canis lupus chanco) from Qinghai-Tibet Plateau.. PLoS Genet 2014 Jul;10(7):e1004466.
    pmc: PMC4117439pubmed: 25078401doi: 10.1371/journal.pgen.1004466google scholar: lookup
  25. Storz JF. Hemoglobin function and physiological adaptation to hypoxia in high-altitude mammals.. J Mammal 2007; 88: 24–31.
  26. Storz JF, Moriyama H. Mechanisms of hemoglobin adaptation to high altitude hypoxia.. High Alt Med Biol 2008 Summer;9(2):148-57.
    pmc: PMC3140315pubmed: 18578646doi: 10.1089/ham.2007.1079google scholar: lookup
  27. Chen FH, Dong GH, Zhang DJ, Liu XY, Jia X, An CB, Ma MM, Xie YW, Barton L, Ren XY, Zhao ZJ, Wu XH, Jones MK. Agriculture facilitated permanent human occupation of the Tibetan Plateau after 3600 B.P.. Science 2015 Jan 16;347(6219):248-50.
    pubmed: 25593179doi: 10.1126/science.1259172google scholar: lookup
  28. Sabeti PC, Varilly P, Fry B, Lohmueller J, Hostetter E, Cotsapas C, Xie X, Byrne EH, McCarroll SA, Gaudet R, Schaffner SF, Lander ES, Frazer KA, Ballinger DG, Cox DR, Hinds DA, Stuve LL, Gibbs RA, Belmont JW, Boudreau A, Hardenbol P, Leal SM, Pasternak S, Wheeler DA, Willis TD, Yu F, Yang H, Zeng C, Gao Y, Hu H, Hu W, Li C, Lin W, Liu S, Pan H, Tang X, Wang J, Wang W, Yu J, Zhang B, Zhang Q, Zhao H, Zhao H, Zhou J, Gabriel SB, Barry R, Blumenstiel B, Camargo A, Defelice M, Faggart M, Goyette M, Gupta S, Moore J, Nguyen H, Onofrio RC, Parkin M, Roy J, Stahl E, Winchester E, Ziaugra L, Altshuler D, Shen Y, Yao Z, Huang W, Chu X, He Y, Jin L, Liu Y, Shen Y, Sun W, Wang H, Wang Y, Wang Y, Xiong X, Xu L, Waye MM, Tsui SK, Xue H, Wong JT, Galver LM, Fan JB, Gunderson K, Murray SS, Oliphant AR, Chee MS, Montpetit A, Chagnon F, Ferretti V, Leboeuf M, Olivier JF, Phillips MS, Roumy S, Sallée C, Verner A, Hudson TJ, Kwok PY, Cai D, Koboldt DC, Miller RD, Pawlikowska L, Taillon-Miller P, Xiao M, Tsui LC, Mak W, Song YQ, Tam PK, Nakamura Y, Kawaguchi T, Kitamoto T, Morizono T, Nagashima A, Ohnishi Y, Sekine A, Tanaka T, Tsunoda T, Deloukas P, Bird CP, Delgado M, Dermitzakis ET, Gwilliam R, Hunt S, Morrison J, Powell D, Stranger BE, Whittaker P, Bentley DR, Daly MJ, de Bakker PI, Barrett J, Chretien YR, Maller J, McCarroll S, Patterson N, Pe'er I, Price A, Purcell S, Richter DJ, Sabeti P, Saxena R, Schaffner SF, Sham PC, Varilly P, Altshuler D, Stein LD, Krishnan L, Smith AV, Tello-Ruiz MK, Thorisson GA, Chakravarti A, Chen PE, Cutler DJ, Kashuk CS, Lin S, Abecasis GR, Guan W, Li Y, Munro HM, Qin ZS, Thomas DJ, McVean G, Auton A, Bottolo L, Cardin N, Eyheramendy S, Freeman C, Marchini J, Myers S, Spencer C, Stephens M, Donnelly P, Cardon LR, Clarke G, Evans DM, Morris AP, Weir BS, Tsunoda T, Johnson TA, Mullikin JC, Sherry ST, Feolo M, Skol A, Zhang H, Zeng C, Zhao H, Matsuda I, Fukushima Y, Macer DR, Suda E, Rotimi CN, Adebamowo CA, Ajayi I, Aniagwu T, Marshall PA, Nkwodimmah C, Royal CD, Leppert MF, Dixon M, Peiffer A, Qiu R, Kent A, Kato K, Niikawa N, Adewole IF, Knoppers BM, Foster MW, Clayton EW, Watkin J, Gibbs RA, Belmont JW, Muzny D, Nazareth L, Sodergren E, Weinstock GM, Wheeler DA, Yakub I, Gabriel SB, Onofrio RC, Richter DJ, Ziaugra L, Birren BW, Daly MJ, Altshuler D, Wilson RK, Fulton LL, Rogers J, Burton J, Carter NP, Clee CM, Griffiths M, Jones MC, McLay K, Plumb RW, Ross MT, Sims SK, Willey DL, Chen Z, Han H, Kang L, Godbout M, Wallenburg JC, L'Archevêque P, Bellemare G, Saeki K, Wang H, An D, Fu H, Li Q, Wang Z, Wang R, Holden AL, Brooks LD, McEwen JE, Guyer MS, Wang VO, Peterson JL, Shi M, Spiegel J, Sung LM, Zacharia LF, Collins FS, Kennedy K, Jamieson R, Stewart J. Genome-wide detection and characterization of positive selection in human populations.. Nature 2007 Oct 18;449(7164):913-8.
    pmc: PMC2687721pubmed: 17943131doi: 10.1038/nature06250google scholar: lookup
  29. Akey JM, Zhang G, Zhang K, Jin L, Shriver MD. Interrogating a high-density SNP map for signatures of natural selection.. Genome Res 2002 Dec;12(12):1805-14.
    pmc: PMC187574pubmed: 12466284doi: 10.1101/gr.631202google scholar: lookup
  30. Wright S. The interpretation of population structure by F-statistics with special regard to systems of mating.. Evolution 1965; 19: 395–420.
  31. Bigham A, Bauchet M, Pinto D, Mao X, Akey JM, Mei R, Scherer SW, Julian CG, Wilson MJ, López Herráez D, Brutsaert T, Parra EJ, Moore LG, Shriver MD. Identifying signatures of natural selection in Tibetan and Andean populations using dense genome scan data.. PLoS Genet 2010 Sep 9;6(9):e1001116.
    pmc: PMC2936536pubmed: 20838600doi: 10.1371/journal.pgen.1001116google scholar: lookup
  32. Foote AD, Liu Y, Thomas GW, Vinař T, Alföldi J, Deng J, Dugan S, van Elk CE, Hunter ME, Joshi V, Khan Z, Kovar C, Lee SL, Lindblad-Toh K, Mancia A, Nielsen R, Qin X, Qu J, Raney BJ, Vijay N, Wolf JB, Hahn MW, Muzny DM, Worley KC, Gilbert MT, Gibbs RA. Convergent evolution of the genomes of marine mammals.. Nat Genet 2015 Mar;47(3):272-5.
    pmc: PMC4644735pubmed: 25621460doi: 10.1038/ng.3198google scholar: lookup
  33. Zou Z, Zhang J. No genome-wide protein sequence convergence for echolocation.. Mol Biol Evol 2015 May;32(5):1237-41.
    pmc: PMC4408410pubmed: 25631925doi: 10.1093/molbev/msv014google scholar: lookup
  34. Grossman SR, Andersen KG, Shlyakhter I, Tabrizi S, Winnicki S, Yen A, Park DJ, Griesemer D, Karlsson EK, Wong SH, Cabili M, Adegbola RA, Bamezai RN, Hill AV, Vannberg FO, Rinn JL, Lander ES, Schaffner SF, Sabeti PC. Identifying recent adaptations in large-scale genomic data.. Cell 2013 Feb 14;152(4):703-13.
    pmc: PMC3674781pubmed: 23415221doi: 10.1016/j.cell.2013.01.035google scholar: lookup
  35. Huerta-Sánchez E, Degiorgio M, Pagani L, Tarekegn A, Ekong R, Antao T, Cardona A, Montgomery HE, Cavalleri GL, Robbins PA, Weale ME, Bradman N, Bekele E, Kivisild T, Tyler-Smith C, Nielsen R. Genetic signatures reveal high-altitude adaptation in a set of ethiopian populations.. Mol Biol Evol 2013 Aug;30(8):1877-88.
    pmc: PMC3708501pubmed: 23666210doi: 10.1093/molbev/mst089google scholar: lookup
  36. Sabeti PC, Schaffner SF, Fry B, Lohmueller J, Varilly P, Shamovsky O, Palma A, Mikkelsen TS, Altshuler D, Lander ES. Positive natural selection in the human lineage.. Science 2006 Jun 16;312(5780):1614-20.
    pubmed: 16778047doi: 10.1126/science.1124309google scholar: lookup
  37. Bigham AW, Lee FS. Human high-altitude adaptation: forward genetics meets the HIF pathway.. Genes Dev 2014 Oct 15;28(20):2189-204.
    pmc: PMC4201282pubmed: 25319824doi: 10.1101/gad.250167.114google scholar: lookup
  38. Barreiro LB, Laval G, Quach H, Patin E, Quintana-Murci L. Natural selection has driven population differentiation in modern humans.. Nat Genet 2008 Mar;40(3):340-5.
    pubmed: 18246066doi: 10.1038/ng.78google scholar: lookup
  39. Cutter AD, Payseur BA. Genomic signatures of selection at linked sites: unifying the disparity among species.. Nat Rev Genet 2013 Apr;14(4):262-74.
    pmc: PMC4066956pubmed: 23478346doi: 10.1038/nrg3425google scholar: lookup
  40. Cruickshank TE, Hahn MW. Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flow.. Mol Ecol 2014 Jul;23(13):3133-57.
    pubmed: 24845075doi: 10.1111/mec.12796google scholar: lookup
  41. Hoban S, Kelley JL, Lotterhos KE, Antolin MF, Bradburd G, Lowry DB, Poss ML, Reed LK, Storfer A, Whitlock MC. Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions.. Am Nat 2016 Oct;188(4):379-97.
    pmc: PMC5457800pubmed: 27622873doi: 10.1086/688018google scholar: lookup
  42. Greijer AE, van der Wall E. The role of hypoxia inducible factor 1 (HIF-1) in hypoxia induced apoptosis.. J Clin Pathol 2004 Oct;57(10):1009-14.
    pmc: PMC1770458pubmed: 15452150doi: 10.1136/jcp.2003.015032google scholar: lookup
  43. Eales KL, Hollinshead KE, Tennant DA. Hypoxia and metabolic adaptation of cancer cells.. Oncogenesis 2016 Jan 25;5(1):e190.
    pmc: PMC4728679pubmed: 26807645doi: 10.1038/oncsis.2015.50google scholar: lookup
  44. Masson N, Ratcliffe PJ. Hypoxia signaling pathways in cancer metabolism: the importance of co-selecting interconnected physiological pathways.. Cancer Metab 2014 Feb 4;2(1):3.
    pmc: PMC3938304pubmed: 24491179doi: 10.1186/2049-3002-2-3google scholar: lookup
  45. LaManna JC. Hypoxia in the central nervous system.. Essays Biochem 2007;43:139-51.
    pubmed: 17705798doi: 10.1042/bse0430139google scholar: lookup
  46. Levy C, Khaled M, Fisher DE. MITF: master regulator of melanocyte development and melanoma oncogene.. Trends Mol Med 2006 Sep;12(9):406-14.
    pubmed: 16899407doi: 10.1016/j.molmed.2006.07.008google scholar: lookup
  47. Han JL, Yang M, Yue YJ, Guo TT, Liu JB, Niu CE, Yang BH. Analysis of agouti signaling protein (ASIP) gene polymorphisms and association with coat color in Tibetan sheep (Ovis aries).. Genet Mol Res 2015 Feb 6;14(1):1200-9.
    pubmed: 25730058doi: 10.4238/2015.february.6.22google scholar: lookup
  48. Delmar M, McKenna WJ. The cardiac desmosome and arrhythmogenic cardiomyopathies: from gene to disease.. Circ Res 2010 Sep 17;107(6):700-14.
    pubmed: 20847325doi: 10.1161/circresaha.110.223412google scholar: lookup
  49. Amagai M, Nishikawa T, Nousari HC, Anhalt GJ, Hashimoto T. Antibodies against desmoglein 3 (pemphigus vulgaris antigen) are present in sera from patients with paraneoplastic pemphigus and cause acantholysis in vivo in neonatal mice.. J Clin Invest 1998 Aug 15;102(4):775-82.
    pmc: PMC508940pubmed: 9710446doi: 10.1172/jci3647google scholar: lookup
  50. Wang MS, Li Y, Peng MS, Zhong L, Wang ZJ, Li QY, Tu XL, Dong Y, Zhu CL, Wang L, Yang MM, Wu SF, Miao YW, Liu JP, Irwin DM, Wang W, Wu DD, Zhang YP. Genomic Analyses Reveal Potential Independent Adaptation to High Altitude in Tibetan Chickens.. Mol Biol Evol 2015 Jul;32(7):1880-9.
    pubmed: 25788450doi: 10.1093/molbev/msv071google scholar: lookup
  51. Hui AS, Bauer AL, Striet JB, Schnell PO, Czyzyk-Krzeska MF. Calcium signaling stimulates translation of HIF-alpha during hypoxia.. FASEB J 2006 Mar;20(3):466-75.
    pubmed: 16507764doi: 10.1096/fj.05-5086comgoogle scholar: lookup
  52. Shimoda LA, Undem C. Interactions between calcium and reactive oxygen species in pulmonary arterial smooth muscle responses to hypoxia.. Respir Physiol Neurobiol 2010 Dec 31;174(3):221-9.
    pmc: PMC2991484pubmed: 20801238doi: 10.1016/j.resp.2010.08.014google scholar: lookup
  53. Wang YX, Zheng YM. ROS-dependent signaling mechanisms for hypoxic Ca(2+) responses in pulmonary artery myocytes.. Antioxid Redox Signal 2010 Mar 1;12(5):611-23.
    pmc: PMC2861542pubmed: 19764882doi: 10.1089/ars.2009.2877google scholar: lookup
  54. Kader A, Li Y, Dong K, Irwin DM, Zhao Q, He X, Liu J, Pu Y, Gorkhali NA, Liu X, Jiang L, Li X, Guan W, Zhang Y, Wu DD, Ma Y. Population Variation Reveals Independent Selection toward Small Body Size in Chinese Debao Pony.. Genome Biol Evol 2015 Dec 3;8(1):42-50.
    pmc: PMC4758242pubmed: 26637467doi: 10.1093/gbe/evv245google scholar: lookup
  55. Weedon MN, Lettre G, Freathy RM, Lindgren CM, Voight BF, Perry JR, Elliott KS, Hackett R, Guiducci C, Shields B, Zeggini E, Lango H, Lyssenko V, Timpson NJ, Burtt NP, Rayner NW, Saxena R, Ardlie K, Tobias JH, Ness AR, Ring SM, Palmer CN, Morris AD, Peltonen L, Salomaa V, Davey Smith G, Groop LC, Hattersley AT, McCarthy MI, Hirschhorn JN, Frayling TM. A common variant of HMGA2 is associated with adult and childhood height in the general population.. Nat Genet 2007 Oct;39(10):1245-50.
    pmc: PMC3086278pubmed: 17767157doi: 10.1038/ng2121google scholar: lookup
  56. Weedon MN, Lango H, Lindgren CM, Wallace C, Evans DM, Mangino M, Freathy RM, Perry JR, Stevens S, Hall AS, Samani NJ, Shields B, Prokopenko I, Farrall M, Dominiczak A, Johnson T, Bergmann S, Beckmann JS, Vollenweider P, Waterworth DM, Mooser V, Palmer CN, Morris AD, Ouwehand WH, Zhao JH, Li S, Loos RJ, Barroso I, Deloukas P, Sandhu MS, Wheeler E, Soranzo N, Inouye M, Wareham NJ, Caulfield M, Munroe PB, Hattersley AT, McCarthy MI, Frayling TM. Genome-wide association analysis identifies 20 loci that influence adult height.. Nat Genet 2008 May;40(5):575-83.
    pmc: PMC2681221pubmed: 18391952doi: 10.1038/ng.121google scholar: lookup
  57. Makvandi-Nejad S, Hoffman GE, Allen JJ, Chu E, Gu E, Chandler AM, Loredo AI, Bellone RR, Mezey JG, Brooks SA, Sutter NB. Four loci explain 83% of size variation in the horse.. PLoS One 2012;7(7):e39929.
    pmc: PMC3394777pubmed: 22808074doi: 10.1371/journal.pone.0039929google scholar: lookup
  58. Yang J, Jin ZB, Chen J, Huang XF, Li XM, Liang YB, Mao JY, Chen X, Zheng Z, Bakshi A, Zheng DD, Zheng MQ, Wray NR, Visscher PM, Lu F, Qu J. Genetic signatures of high-altitude adaptation in Tibetans.. Proc Natl Acad Sci U S A 2017 Apr 18;114(16):4189-4194.
    pmc: PMC5402460pubmed: 28373541doi: 10.1073/pnas.1617042114google scholar: lookup
  59. Xu S, He Z, Guo Z, Zhang Z, Wyckoff GJ, Greenberg A, Wu CI, Shi S. Genome-Wide Convergence during Evolution of Mangroves from Woody Plants.. Mol Biol Evol 2017 Apr 1;34(4):1008-1015.
    pubmed: 28087771doi: 10.1093/molbev/msw277google scholar: lookup
  60. Dong Y, Xie M, Jiang Y, Xiao N, Du X, Zhang W, Tosser-Klopp G, Wang J, Yang S, Liang J, Chen W, Chen J, Zeng P, Hou Y, Bian C, Pan S, Li Y, Liu X, Wang W, Servin B, Sayre B, Zhu B, Sweeney D, Moore R, Nie W, Shen Y, Zhao R, Zhang G, Li J, Faraut T, Womack J, Zhang Y, Kijas J, Cockett N, Xu X, Zhao S, Wang J, Wang W. Sequencing and automated whole-genome optical mapping of the genome of a domestic goat (Capra hircus).. Nat Biotechnol 2013 Feb;31(2):135-41.
    pubmed: 23263233doi: 10.1038/nbt.2478google scholar: lookup
  61. Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM.. 2013; arXiv: 1303.3997.
  62. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.. Genome Res 2010 Sep;20(9):1297-303.
    pmc: PMC2928508pubmed: 20644199doi: 10.1101/gr.107524.110google scholar: lookup
  63. Browning SR, Browning BL. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering.. Am J Hum Genet 2007 Nov;81(5):1084-97.
    pmc: PMC2265661pubmed: 17924348doi: 10.1086/521987google scholar: lookup
  64. Rossin EJ, Lage K, Raychaudhuri S, Xavier RJ, Tatar D, Benita Y, Cotsapas C, Daly MJ. Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology.. PLoS Genet 2011 Jan 13;7(1):e1001273.
    pmc: PMC3020935pubmed: 21249183doi: 10.1371/journal.pgen.1001273google scholar: lookup
  65. Stark C, Breitkreutz BJ, Reguly T, Boucher L, Breitkreutz A, Tyers M. BioGRID: a general repository for interaction datasets.. Nucleic Acids Res 2006 Jan 1;34(Database issue):D535-9.
    pmc: PMC1347471pubmed: 16381927doi: 10.1093/nar/gkj109google scholar: lookup
  66. Reimand J, Arak T, Vilo J. g:Profiler--a web server for functional interpretation of gene lists (2011 update).. Nucleic Acids Res 2011 Jul;39(Web Server issue):W307-15.
    pmc: PMC3125778pubmed: 21646343doi: 10.1093/nar/gkr378google scholar: lookup
  67. Jiang Y, Xie M, Chen W, Talbot R, Maddox JF, Faraut T, Wu C, Muzny DM, Li Y, Zhang W, Stanton JA, Brauning R, Barris WC, Hourlier T, Aken BL, Searle SMJ, Adelson DL, Bian C, Cam GR, Chen Y, Cheng S, DeSilva U, Dixen K, Dong Y, Fan G, Franklin IR, Fu S, Guan R, Highland MA, Holder ME, Huang G, Ingham AB, Jhangiani SN, Kalra D, Kovar CL, Lee SL, Liu W, Liu X, Lu C, Lv T, Mathew T, McWilliam S, Menzies M, Pan S, Robelin D, Servin B, Townley D, Wang W, Wei B, White SN, Yang X, Ye C, Yue Y, Zeng P, Zhou Q, Hansen JB, Kristensen K, Gibbs RA, Flicek P, Warkup CC, Jones HE, Oddy VH, Nicholas FW, McEwan JC, Kijas J, Wang J, Worley KC, Archibald AL, Cockett N, Xu X, Wang W, Dalrymple BP. The sheep genome illuminates biology of the rumen and lipid metabolism.. Science 2014 Jun 6;344(6188):1168-1173.
    pmc: PMC4157056pubmed: 24904168doi: 10.1126/science.1252806google scholar: lookup

Citations

This article has been cited 22 times.
  1. Xia X, Qu K, Wang Y, Sinding MS, Wang F, Hanif Q, Ahmed Z, Lenstra JA, Han J, Lei C, Chen N. Global dispersal and adaptive evolution of domestic cattle: a genomic perspective.. Stress Biol 2023 Apr 18;3(1):8.
    doi: 10.1007/s44154-023-00085-2pubmed: 37676580google scholar: lookup
  2. Cao Y, Almeida-Silva F, Zhang WP, Ding YM, Bai D, Bai WN, Zhang BW, Van de Peer Y, Zhang DY. Genomic Insights into Adaptation to Karst Limestone and Incipient Speciation in East Asian Platycarya spp. (Juglandaceae).. Mol Biol Evol 2023 May 22;40(6):msad121.
    doi: 10.1093/molbev/msad121/7175457pubmed: 37325551google scholar: lookup
  3. Li S, Zhang X, Dong X, Guo R, Nan J, Yuan J, Schlebusch CM, Sheng Z. Genetic structure and characteristics of Tibetan chickens.. Poult Sci 2023 Aug;102(8):102767.
    doi: 10.1016/j.psj.2023.102767pubmed: 37321029google scholar: lookup
  4. Cao Y, Almeida-Silva F, Zhang WP, Ding YM, Bai D, Bai WN, Zhang BW, Van de Peer Y, Zhang DY. Genomic Insights into Adaptation to Karst Limestone and Incipient Speciation in East Asian Platycarya spp. (Juglandaceae).. Mol Biol Evol 2023 Jun 1;40(6).
    doi: 10.1093/molbev/msad121pubmed: 37216901google scholar: lookup
  5. Tang L, Wilkin S, Richter KK, Bleasdale M, Fernandes R, He Y, Li S, Petraglia M, Scott A, Teoh FKY, Tong Y, Tsering T, Tsho Y, Xi L, Yang F, Yuan H, Chen Z, Roberts P, He W, Spengler R, Lu H, Wangdue S, Boivin N. Paleoproteomic evidence reveals dairying supported prehistoric occupation of the highland Tibetan Plateau.. Sci Adv 2023 Apr 14;9(15):eadf0345.
    doi: 10.1126/sciadv.adf0345pubmed: 37043579google scholar: lookup
  6. Martínez Sosa F, Pilot M. Molecular Mechanisms Underlying Vertebrate Adaptive Evolution: A Systematic Review.. Genes (Basel) 2023 Feb 5;14(2).
    doi: 10.3390/genes14020416pubmed: 36833343google scholar: lookup
  7. Bhardwaj S, Singh S, Ganguly I, Bhatia AK, Dixit SP. Deciphering local adaptation of native Indian cattle (Bos indicus) breeds using landscape genomics and in-silico prediction of deleterious SNP effects on protein structure and function.. 3 Biotech 2023 Mar;13(3):86.
    doi: 10.1007/s13205-023-03493-3pubmed: 36816754google scholar: lookup
  8. Lyu T, Zhou S, Fang J, Wang L, Shi L, Dong Y, Zhang H. Convergent Genomic Signatures of High-Altitude Adaptation among Six Independently Evolved Mammals.. Animals (Basel) 2022 Dec 16;12(24).
    doi: 10.3390/ani12243572pubmed: 36552492google scholar: lookup
  9. Zhong HA, Kong XY, Zhang YW, Su YK, Zhang B, Zhu L, Chen H, Gou X, Zhang H. Microevolutionary mechanism of high-altitude adaptation in Tibetan chicken populations from an elevation gradient.. Evol Appl 2022 Dec;15(12):2100-2112.
    doi: 10.1111/eva.13503pubmed: 36540645google scholar: lookup
  10. Li C, Wu Y, Chen B, Cai Y, Guo J, Leonard AS, Kalds P, Zhou S, Zhang J, Zhou P, Gan S, Jia T, Pu T, Suo L, Li Y, Zhang K, Li L, Purevdorj M, Wang X, Li M, Wang Y, Liu Y, Huang S, Sonstegard T, Wang MS, Kemp S, Pausch H, Chen Y, Han JL, Jiang Y, Wang X. Markhor-derived Introgression of a Genomic Region Encompassing PAPSS2 Confers High-altitude Adaptability in Tibetan Goats.. Mol Biol Evol 2022 Dec 5;39(12).
    doi: 10.1093/molbev/msac253pubmed: 36382357google scholar: lookup
  11. Hu L, Long J, Lin Y, Gu Z, Su H, Dong X, Lin Z, Xiao Q, Batbayar N, Bold B, Deutschová L, Ganusevich S, Sokolov V, Sokolov A, Patel HR, Waters PD, Graves JAM, Dixon A, Pan S, Zhan X. Arctic introgression and chromatin regulation facilitated rapid Qinghai-Tibet Plateau colonization by an avian predator.. Nat Commun 2022 Oct 27;13(1):6413.
    doi: 10.1038/s41467-022-34138-3pubmed: 36302769google scholar: lookup
  12. Xi Q, Zhao F, Hu J, Wang J, Liu X, Dang P, Luo Y, Li S. Expression and Variations in EPAS1 Associated with Oxygen Metabolism in Sheep.. Genes (Basel) 2022 Oct 15;13(10).
    doi: 10.3390/genes13101871pubmed: 36292756google scholar: lookup
  13. Yang Y, Li Y, Yuan H, Liu X, Ren Y, Gao C, Jiao T, Cai Y, Zhao S. Characterization of circRNA-miRNA-mRNA networks regulating oxygen utilization in type II alveolar epithelial cells of Tibetan pigs.. Front Mol Biosci 2022;9:854250.
    doi: 10.3389/fmolb.2022.854250pubmed: 36213124google scholar: lookup
  14. Yuan H, Liu X, Wang Z, Ren Y, Li Y, Gao C, Jiao T, Cai Y, Yang Y, Zhao S. Alternative splicing signature of alveolar type II epithelial cells of Tibetan pigs under hypoxia-induced.. Front Vet Sci 2022;9:984703.
    doi: 10.3389/fvets.2022.984703pubmed: 36187824google scholar: lookup
  15. Yan C, Wu W, Dong W, Zhu B, Chang J, Lv Y, Yang S, Li JT. Temperature acclimation in hot-spring snakes and the convergence of cold response.. Innovation (Camb) 2022 Sep 13;3(5):100295.
    doi: 10.1016/j.xinn.2022.100295pubmed: 36032194google scholar: lookup
  16. Li R, Chen S, Li C, Xiao H, Costa V, Bhuiyan MSA, Baig M, Beja-Pereira A. Whole-Genome Analysis Deciphers Population Structure and Genetic Introgression Among Bovine Species.. Front Genet 2022;13:847492.
    doi: 10.3389/fgene.2022.847492pubmed: 35711941google scholar: lookup
  17. Shen Q, Han Y, Wu K, He Y, Jiang X, Liu P, Xia C, Xiong Q, Liu R, Chen Q, Zhang Y, Zhao S, Yang C, Chen Y. MrgprF acts as a tumor suppressor in cutaneous melanoma by restraining PI3K/Akt signaling.. Signal Transduct Target Ther 2022 May 4;7(1):147.
    doi: 10.1038/s41392-022-00945-9pubmed: 35504869google scholar: lookup
  18. Yang Y, Li Y, Yuan H, Liu X, Ren Y, Gao C, Jiao T, Cai Y, Zhao S. Integrative Analysis of the lncRNA-Associated ceRNA Regulatory Network Response to Hypoxia in Alveolar Type II Epithelial Cells of Tibetan Pigs.. Front Vet Sci 2022;9:834566.
    doi: 10.3389/fvets.2022.834566pubmed: 35211545google scholar: lookup
  19. Lei Z, Sun W, Guo T, Li J, Zhu S, Lu Z, Qiao G, Han M, Zhao H, Yang B, Zhang L, Liu J, Yuan C, Yue Y. Genome-Wide Selective Signatures Reveal Candidate Genes Associated with Hair Follicle Development and Wool Shedding in Sheep.. Genes (Basel) 2021 Nov 29;12(12).
    doi: 10.3390/genes12121924pubmed: 34946875google scholar: lookup
  20. Beckman EJ, Martins F, Suzuki TA, Bi K, Keeble S, Good JM, Chavez AS, Ballinger MA, Agwamba K, Nachman MW. The genomic basis of high-elevation adaptation in wild house mice (Mus musculus domesticus) from South America.. Genetics 2022 Feb 4;220(2).
    doi: 10.1093/genetics/iyab226pubmed: 34897431google scholar: lookup
  21. Jiang X, He Y, Shen Q, Duan L, Yuan Y, Tang L, Shi Y, Liu B, Zhai H, Shi P, Yang C, Chen Y. RETSAT Mutation Selected for Hypoxia Adaptation Inhibits Tumor Growth.. Front Cell Dev Biol 2021;9:744992.
    doi: 10.3389/fcell.2021.744992pubmed: 34805153google scholar: lookup
  22. Liu YH, Wang L, Zhang Z, Otecko NO, Khederzadeh S, Dai Y, Liang B, Wang GD, Zhang YP. Whole-Genome Sequencing Reveals Lactase Persistence Adaptation in European Dogs.. Mol Biol Evol 2021 Oct 27;38(11):4884-4890.
    doi: 10.1093/molbev/msab214pubmed: 34289055google scholar: lookup
Subscribe to our newsletter
Join 99,383 horse owners like you who receive our email updates on horse health and nutrition.