Comparative Analysis of Microbiome Metagenomics in Reintroduced Wild Horses and Resident Asiatic Wild Asses in the Gobi Desert Steppe.

Liping Tang, Yunyun Gao, Liping Yan, Huiping Jia, Hongjun Chu, Xinping Ma, Lun He, Xiaoting Wang, Kai Li, Defu Hu, Dong Zhang
Author Information
  1. Liping Tang: School of Ecology and Nature Conservation, Beijing Forestry University, 35 Tsinghua East Road, Beijing 100083, China.
  2. Yunyun Gao: School of Ecology and Nature Conservation, Beijing Forestry University, 35 Tsinghua East Road, Beijing 100083, China.
  3. Liping Yan: School of Ecology and Nature Conservation, Beijing Forestry University, 35 Tsinghua East Road, Beijing 100083, China.
  4. Huiping Jia: School of Ecology and Nature Conservation, Beijing Forestry University, 35 Tsinghua East Road, Beijing 100083, China.
  5. Hongjun Chu: Institute of Forestry Ecology, Xinjiang Academy of Forestry Sciences, Urumqi 830002, China.
  6. Xinping Ma: Xinjiang Kalamaili Mountain Ungulate Nature Reserve Management Center, Urumqi 830000, China.
  7. Lun He: China Wildlife Conservation Association, Beijing 100714, China.
  8. Xiaoting Wang: China Wildlife Conservation Association, Beijing 100714, China.
  9. Kai Li: School of Ecology and Nature Conservation, Beijing Forestry University, 35 Tsinghua East Road, Beijing 100083, China.
  10. Defu Hu: School of Ecology and Nature Conservation, Beijing Forestry University, 35 Tsinghua East Road, Beijing 100083, China.
  11. Dong Zhang: School of Ecology and Nature Conservation, Beijing Forestry University, 35 Tsinghua East Road, Beijing 100083, China.

Abstract

The gut microbiome offers important ecological benefits to the host; however, our understanding of the functional microbiome in relation to wildlife adaptation, especially for translocated endangered species, is lagging. In this study, we adopted a comparative metagenomics approach to test whether the microbiome diverges for translocated and resident species with different adaptive potentials. The composition and function of the microbiome of sympatric Przewalski's horses and Asiatic wild asses in desert steppe were compared for the first time using the metagenomic shotgun sequencing approach. We identified a significant difference in microbiome composition regarding the microbes present and their relative abundances, while the diversity of microbe species was similar. Furthermore, the functional profile seemed to converge between the two hosts, with genes related to core metabolism function tending to be more abundant in wild asses. Our results indicate that sympatric wild equids differ in their microbial composition while harboring a stable microbial functional core, which may enable them to survive in challenging habitats. A higher abundance of beneficial taxa, such as , and genes related to metabolism pathways and enzymes, such as lignin degradation, may contribute to more diverse diet choices and larger home ranges of wild asses.

Keywords

References

  1. Front Microbiol. 2020 Mar 12;11:363 [PMID: 32226419]
  2. Ying Yong Sheng Tai Xue Bao. 2020 Sep 15;31(9):2993-3004 [PMID: 33345500]
  3. Interface Focus. 2017 Oct 6;7(5):20170001 [PMID: 28839925]
  4. PeerJ. 2020 Jun 4;8:e9032 [PMID: 32547852]
  5. Nucleic Acids Res. 2009 Jan;37(Database issue):D233-8 [PMID: 18838391]
  6. Front Vet Sci. 2021 Aug 18;8:708512 [PMID: 34490397]
  7. Curr Microbiol. 2014 May;68(5):657-62 [PMID: 24452427]
  8. Curr Biol. 2016 Jul 25;26(14):1873-9 [PMID: 27321997]
  9. Int J Syst Evol Microbiol. 2016 Nov;66(11):4614-4620 [PMID: 27499019]
  10. ISME J. 2017 Jan;11(1):1-6 [PMID: 27636395]
  11. Nat Protoc. 2020 Mar;15(3):799-821 [PMID: 31942082]
  12. BMC Bioinformatics. 2010 Mar 08;11:119 [PMID: 20211023]
  13. Nucleic Acids Res. 2000 Jan 1;28(1):27-30 [PMID: 10592173]
  14. Bioinformatics. 2012 Dec 1;28(23):3150-2 [PMID: 23060610]
  15. Annu Rev Anim Biosci. 2018 Feb 15;6:157-175 [PMID: 29144770]
  16. Microbiome. 2018 Apr 25;6(1):78 [PMID: 29695294]
  17. Integr Zool. 2021 May;16(3):313-323 [PMID: 33704889]
  18. Nat Commun. 2021 Aug 26;12(1):5141 [PMID: 34446709]
  19. Integr Zool. 2021 May;16(3):300-312 [PMID: 33452844]
  20. J Appl Ecol. 2017 Aug;54(4):1110-1119 [PMID: 28717255]
  21. Anim Microbiome. 2020 Feb 12;2(1):6 [PMID: 33499982]
  22. Integr Zool. 2019 Nov;14(6):613-618 [PMID: 30811842]
  23. Bioinformatics. 2014 Aug 1;30(15):2114-20 [PMID: 24695404]
  24. Front Microbiol. 2020 Feb 21;11:219 [PMID: 32153527]
  25. Bioinformatics. 2014 Nov 1;30(21):3123-4 [PMID: 25061070]
  26. Integr Zool. 2022 May;17(3):333-345 [PMID: 34520120]
  27. Nat Rev Neurosci. 2012 Oct;13(10):701-12 [PMID: 22968153]
  28. Nature. 2010 Mar 4;464(7285):59-65 [PMID: 20203603]
  29. Nat Commun. 2020 Oct 15;11(1):5206 [PMID: 33060586]
  30. Cell. 2014 Mar 27;157(1):121-41 [PMID: 24679531]
  31. Methods. 2016 Jun 1;102:3-11 [PMID: 27012178]
  32. Anim Microbiome. 2021 Nov 4;3(1):77 [PMID: 34736528]
  33. Science. 2006 Jan 20;311(5759):392-4 [PMID: 16368896]
  34. Genome Res. 2013 Oct;23(10):1715-20 [PMID: 23804402]
  35. Nat Rev Microbiol. 2021 Jan;19(1):55-71 [PMID: 32887946]
  36. BMC Ecol. 2016 Mar 23;16:12 [PMID: 27008566]
  37. Proc Biol Sci. 2020 Feb 26;287(1921):20192834 [PMID: 32097591]
  38. Genome Res. 2011 Sep;21(9):1552-60 [PMID: 21690186]
  39. World J Gastroenterol. 2015 Jan 21;21(3):803-14 [PMID: 25624713]
  40. Genome Biol. 2011 Jun 24;12(6):R60 [PMID: 21702898]
  41. Nat Methods. 2015 Jan;12(1):59-60 [PMID: 25402007]
  42. Microb Ecol. 2012 Feb;63(2):267-81 [PMID: 22213055]
  43. J Equine Vet Sci. 2020 May;88:102943 [PMID: 32303307]
  44. Annu Rev Anim Biosci. 2021 Feb 16;9:81-101 [PMID: 33197207]

Grants

  1. 2019JQ03018/Beijing Forestry University Outstanding Young Talent Cultivation Project
  2. 31872964/National Science Foundation of China

Word Cloud

Created with Highcharts 10.0.0microbiomewildassesfunctionalspeciescompositionsympatricAsiatictranslocatedmetagenomicsapproachfunctionhorsesgenesrelatedcoremetabolismequidsmicrobialmayWildgutoffersimportantecologicalbenefitshosthoweverunderstandingrelationwildlifeadaptationespeciallyendangeredlaggingstudyadoptedcomparativetestwhetherdivergesresidentdifferentadaptivepotentialsPrzewalski'sdesertsteppecomparedfirsttimeusingmetagenomicshotgunsequencingidentifiedsignificantdifferenceregardingmicrobespresentrelativeabundancesdiversitymicrobesimilarFurthermoreprofileseemedconvergetwohoststendingabundantresultsindicatedifferharboringstableenablesurvivechallenginghabitatshigherabundancebeneficialtaxapathwaysenzymeslignindegradationcontributediversedietchoiceslargerhomerangesComparativeAnalysisMicrobiomeMetagenomicsReintroducedHorsesResidentAssesGobiDesertSteppePrzewalski’s

Similar Articles

Cited By