Seasonal shifts in the gut microbiome indicate plastic responses to diet in wild geladas.


Journal

Microbiome
ISSN: 2049-2618
Titre abrégé: Microbiome
Pays: England
ID NLM: 101615147

Informations de publication

Date de publication:
23 01 2021
Historique:
received: 16 07 2020
accepted: 07 12 2020
entrez: 24 1 2021
pubmed: 25 1 2021
medline: 11 3 2021
Statut: epublish

Résumé

Adaptive shifts in gut microbiome composition are one route by which animals adapt to seasonal changes in food availability and diet. However, outside of dietary shifts, other potential environmental drivers of gut microbial composition have rarely been investigated, particularly in organisms living in their natural environments. Here, we generated the largest wild nonhuman primate gut microbiome dataset to date to identify the environmental drivers of gut microbial diversity and function in 758 samples collected from wild Ethiopian geladas (Theropithecus gelada). Because geladas live in a cold, high-altitude environment and have a low-quality grass-based diet, they face extreme thermoregulatory and energetic constraints. We tested how proxies of food availability (rainfall) and thermoregulatory stress (temperature) predicted gut microbiome composition of geladas. The gelada gut microbiome composition covaried with rainfall and temperature in a pattern that suggests distinct responses to dietary and thermoregulatory challenges. Microbial changes were driven by differences in the main components of the diet across seasons: in rainier periods, the gut was dominated by cellulolytic/fermentative bacteria that specialized in digesting grass, while during dry periods the gut was dominated by bacteria that break down starches found in underground plant parts. Temperature had a comparatively smaller, but detectable, effect on the gut microbiome. During cold and dry periods, bacterial genes involved in energy, amino acid, and lipid metabolism increased, suggesting a stimulation of fermentation activity in the gut when thermoregulatory and nutritional stress co-occurred, and potentially helping geladas to maintain energy balance during challenging periods. Together, these results shed light on the extent to which gut microbiota plasticity provides dietary and metabolic flexibility to the host, and might be a key factor to thriving in changing environments. On a longer evolutionary timescale, such metabolic flexibility provided by the gut microbiome may have also allowed members of Theropithecus to adopt a specialized diet, and colonize new high-altitude grassland habitats in East Africa. Video abstract.

Sections du résumé

BACKGROUND
Adaptive shifts in gut microbiome composition are one route by which animals adapt to seasonal changes in food availability and diet. However, outside of dietary shifts, other potential environmental drivers of gut microbial composition have rarely been investigated, particularly in organisms living in their natural environments.
RESULTS
Here, we generated the largest wild nonhuman primate gut microbiome dataset to date to identify the environmental drivers of gut microbial diversity and function in 758 samples collected from wild Ethiopian geladas (Theropithecus gelada). Because geladas live in a cold, high-altitude environment and have a low-quality grass-based diet, they face extreme thermoregulatory and energetic constraints. We tested how proxies of food availability (rainfall) and thermoregulatory stress (temperature) predicted gut microbiome composition of geladas. The gelada gut microbiome composition covaried with rainfall and temperature in a pattern that suggests distinct responses to dietary and thermoregulatory challenges. Microbial changes were driven by differences in the main components of the diet across seasons: in rainier periods, the gut was dominated by cellulolytic/fermentative bacteria that specialized in digesting grass, while during dry periods the gut was dominated by bacteria that break down starches found in underground plant parts. Temperature had a comparatively smaller, but detectable, effect on the gut microbiome. During cold and dry periods, bacterial genes involved in energy, amino acid, and lipid metabolism increased, suggesting a stimulation of fermentation activity in the gut when thermoregulatory and nutritional stress co-occurred, and potentially helping geladas to maintain energy balance during challenging periods.
CONCLUSION
Together, these results shed light on the extent to which gut microbiota plasticity provides dietary and metabolic flexibility to the host, and might be a key factor to thriving in changing environments. On a longer evolutionary timescale, such metabolic flexibility provided by the gut microbiome may have also allowed members of Theropithecus to adopt a specialized diet, and colonize new high-altitude grassland habitats in East Africa. Video abstract.

Identifiants

pubmed: 33485388
doi: 10.1186/s40168-020-00977-9
pii: 10.1186/s40168-020-00977-9
pmc: PMC7828014
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Pagination

26

Subventions

Organisme : NIA NIH HHS
ID : R00 AG051764
Pays : United States

Références

Nature. 2012 Jun 13;486(7402):207-14
pubmed: 22699609
Am J Primatol. 2016 Jul;78(7):707-19
pubmed: 26950523
Nutr Clin Pract. 2012 Apr;27(2):201-14
pubmed: 22367888
Gastroenterol Hepatol (N Y). 2012 Jan;8(1):22-8
pubmed: 22347829
Bioinformatics. 2018 Mar 15;34(6):1053-1055
pubmed: 29091997
Bioessays. 2003 Oct;25(10):926-9
pubmed: 14505359
Nat Commun. 2016 Feb 03;7:10516
pubmed: 26839246
Nat Biotechnol. 2016 Sep;34(9):942-9
pubmed: 27454739
Physiol Behav. 2008 Oct 20;95(3):508-14
pubmed: 18706919
Trends Biotechnol. 2015 Sep;33(9):496-503
pubmed: 26210164
Trends Microbiol. 2012 Aug;20(8):385-91
pubmed: 22672911
Curr Biol. 2015 Jun 29;25(13):1682-93
pubmed: 25981789
Nature. 2006 Dec 21;444(7122):1027-31
pubmed: 17183312
Proc Natl Acad Sci U S A. 2006 Jun 27;103(26):10011-6
pubmed: 16782812
Am J Primatol. 2016 Aug;78(8):883-92
pubmed: 27177345
J Appl Microbiol. 2007 Dec;103(6):2638-44
pubmed: 18045446
Science. 2008 Jun 20;320(5883):1647-51
pubmed: 18497261
Am J Primatol. 2011 May;73(5):449-57
pubmed: 21432874
Sci Rep. 2017 Apr 28;7(1):1276
pubmed: 28455495
Gen Comp Endocrinol. 2020 Jul 1;293:113494
pubmed: 32333913
Am J Phys Anthropol. 2011 May;145(1):137-46
pubmed: 21365610
Microb Ecol. 2015 Feb;69(2):434-43
pubmed: 25524570
FEMS Microbiol Ecol. 2017 Mar 1;93(3):
pubmed: 28011597
Am J Primatol. 2018 Aug;80(8):e22896
pubmed: 29984842
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
PLoS One. 2013 Apr 22;8(4):e61217
pubmed: 23630581
Anim Microbiome. 2020 Feb 12;2(1):6
pubmed: 33499982
Am J Phys Anthropol. 2014 Dec;155(4):652-64
pubmed: 25252073
Bioinformatics. 2010 Jun 1;26(11):1463-4
pubmed: 20395285
Microbiome. 2017 Mar 3;5(1):27
pubmed: 28253908
BMC Vet Res. 2012 Nov 27;8:231
pubmed: 23186268
Trends Ecol Evol. 2016 Sep;31(9):689-699
pubmed: 27453351
Microbiome. 2018 Nov 22;6(1):207
pubmed: 30466491
Am J Phys Anthropol. 2016 Jan;159(Suppl 61):S196-215
pubmed: 26808106
Br J Nutr. 1982 Sep;48(2):329-39
pubmed: 6810917
Nucleic Acids Res. 2011 Jul;39(Web Server issue):W29-37
pubmed: 21593126
Microb Ecol. 2017 Jul;74(1):250-258
pubmed: 28124727
Sci Rep. 2016 May 16;6:26035
pubmed: 27180722
FEMS Microbiol Lett. 2019 Apr 1;366(8):
pubmed: 31049554
Ecol Evol. 2017 Jun 15;7(15):5732-5745
pubmed: 28808547
Comp Med. 2008 Dec;58(6):534-41
pubmed: 19149410
Front Microbiol. 2017 Nov 15;8:2224
pubmed: 29187837
Nature. 2014 Jan 23;505(7484):559-63
pubmed: 24336217
Nat Biotechnol. 2020 Jun;38(6):685-688
pubmed: 32483366
Genome Biol. 2015 Sep 15;16:191
pubmed: 26374288
Cell Metab. 2015 Dec 1;22(6):971-82
pubmed: 26552345
Nat Commun. 2018 May 3;9(1):1786
pubmed: 29725011
ISME J. 2012 Mar;6(3):610-8
pubmed: 22134646
Proc Natl Acad Sci U S A. 2012 Aug 7;109(32):13034-9
pubmed: 22826227
Horm Behav. 2009 Oct;56(4):472-80
pubmed: 19712676
Asian-Australas J Anim Sci. 2017 Jan;30(1):100-110
pubmed: 27383798
Annu Rev Microbiol. 2014;68:279-96
pubmed: 25002092
Am J Hum Biol. 2002 Sep-Oct;14(5):584-602
pubmed: 12203813
Proc Natl Acad Sci U S A. 2009 Feb 17;106(7):2365-70
pubmed: 19164560
Comp Biochem Physiol A Comp Physiol. 1983;74(1):29-31
pubmed: 6130881
Elife. 2015 Mar 16;4:
pubmed: 25774601
Ann Nutr Metab. 2011;58 Suppl 2:44-52
pubmed: 21846980
Cell. 2014 Nov 6;159(4):789-99
pubmed: 25417156
Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6
pubmed: 23193283
Science. 2012 Mar 9;335(6073):1222-5
pubmed: 22362878
Microbiome. 2015 Nov 10;3:51
pubmed: 26552373
Nat Commun. 2017 Feb 23;8:14319
pubmed: 28230052
J Gerontol A Biol Sci Med Sci. 2020 Jun 18;75(7):1293-1298
pubmed: 32052009
Biom J. 2008 Jun;50(3):346-63
pubmed: 18481363
Am J Phys Anthropol. 2014 Sep;155(1):17-32
pubmed: 25043998
ISME J. 2016 Feb;10(2):514-26
pubmed: 26315972
Cell. 2015 Dec 3;163(6):1360-74
pubmed: 26638070
ISME J. 2019 Mar;13(3):576-587
pubmed: 29995839
Appl Environ Microbiol. 1982 Jan;43(1):227-32
pubmed: 6798932
J Infect Chemother. 2002 Mar;8(1):43-9
pubmed: 11957119
Nature. 2007 Nov 22;450(7169):560-5
pubmed: 18033299
Appl Microbiol Biotechnol. 2018 Aug;102(15):6739-6751
pubmed: 29862448
Gut Microbes. 2012 Jul-Aug;3(4):289-306
pubmed: 22572875
Science. 2001 May 11;292(5519):1119-22
pubmed: 11352069
Front Microbiol. 2018 Jul 26;9:1683
pubmed: 30093893
Appl Environ Microbiol. 1977 Feb;33(2):319-22
pubmed: 848954
Appl Environ Microbiol. 1993 Mar;59(3):748-55
pubmed: 8481001
Curr Biol. 2016 Jul 25;26(14):1873-9
pubmed: 27321997
J Microbiol Methods. 2012 Oct;91(1):45-51
pubmed: 22828127
Microb Ecol. 2019 Jul;78(1):223-231
pubmed: 30411188
Proc Natl Acad Sci U S A. 2010 Aug 17;107(33):14691-6
pubmed: 20679230
Behav Ecol. 2018 May-Jun;29(3):574-588
pubmed: 29769792
Nat Ecol Evol. 2019 Jan;3(1):116-124
pubmed: 30532043
Vet J. 2015 Jul;205(1):74-80
pubmed: 25975855
Science. 2017 Aug 25;357(6353):802-806
pubmed: 28839072
J Nutr. 1997 Oct;127(10):2000-5
pubmed: 9311957
Am J Phys Anthropol. 2014 Sep;155(1):1-16
pubmed: 25043196
Environ Microbiol. 2016 May;18(5):1312-25
pubmed: 25818066
Methods Mol Biol. 2018;1849:113-129
pubmed: 30298251
BMC Biol. 2019 Oct 28;17(1):83
pubmed: 31660948
Int J Syst Evol Microbiol. 2012 Jan;62(Pt 1):144-149
pubmed: 21357455
Ecol Lett. 2015 Oct;18(10):1078-86
pubmed: 26249109
Nature. 2012 Sep 13;489(7415):242-9
pubmed: 22972297
Nat Rev Microbiol. 2013 Jul;11(7):497-504
pubmed: 23748339
Sci Rep. 2016 Aug 16;6:31519
pubmed: 27528013
Front Cell Infect Microbiol. 2018 Jun 19;8:202
pubmed: 29971220
Science. 2009 Dec 18;326(5960):1694-7
pubmed: 19892944
J Clin Endocrinol Metab. 2013 Apr;98(4):E698-702
pubmed: 23533244
PLoS Comput Biol. 2014 Apr 03;10(4):e1003531
pubmed: 24699258
Cell. 2012 Aug 3;150(3):470-80
pubmed: 22863002
ISME J. 2015 Nov;9(11):2423-34
pubmed: 26023870
Nat Methods. 2010 May;7(5):335-6
pubmed: 20383131
Nat Rev Microbiol. 2008 Feb;6(2):121-31
pubmed: 18180751
Nucleic Acids Res. 2008 Jul 1;36(Web Server issue):W5-9
pubmed: 18440982
J Physiol. 2009 Sep 1;587(Pt 17):4153-8
pubmed: 19491241
Syst Biol. 2019 Mar 1;68(2):365-369
pubmed: 30165689
Biochem J. 1965 Oct;97(1):53-8
pubmed: 16749123
Int J Syst Evol Microbiol. 2009 Feb;59(Pt 2):295-9
pubmed: 19196768
J Mol Biol. 1990 Oct 5;215(3):403-10
pubmed: 2231712
PLoS Comput Biol. 2009 Aug;5(8):e1000465
pubmed: 19680427
Curr Opin Microbiol. 2019 Aug;50:20-27
pubmed: 31593869
Microbiome. 2018 May 5;6(1):84
pubmed: 29729671
J Formos Med Assoc. 2019 Mar;118 Suppl 1:S3-S9
pubmed: 30057153

Auteurs

Alice Baniel (A)

Department of Anthropology, Stony Brook University, Stony Brook, NY, 11794, USA. alice.baniel@gmail.com.

Katherine R Amato (KR)

Department of Anthropology, Northwestern University, Evanston, IL, 60208, USA.

Jacinta C Beehner (JC)

Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, USA.
Department of Anthropology, University of Michigan, Ann Arbor, MI, 48109, USA.

Thore J Bergman (TJ)

Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, USA.
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.

Arianne Mercer (A)

Department of Psychology, University of Washington, Seattle, WA, 98195, USA.

Rachel F Perlman (RF)

Interdepartmental Doctoral Program in Anthropological Sciences, Stony Brook University, Stony Brook, NY, 11794, USA.

Lauren Petrullo (L)

Interdepartmental Doctoral Program in Anthropological Sciences, Stony Brook University, Stony Brook, NY, 11794, USA.

Laurie Reitsema (L)

Department of Anthropology, University of Georgia, Athens, GA, 30602, USA.

Sierra Sams (S)

Department of Psychology, University of Washington, Seattle, WA, 98195, USA.

Amy Lu (A)

Department of Anthropology, Stony Brook University, Stony Brook, NY, 11794, USA. amy.lu@stonybrook.edu.

Noah Snyder-Mackler (N)

Department of Psychology, University of Washington, Seattle, WA, 98195, USA. nsnyderm@asu.edu.
Center for Evolution and Medicine, Arizona State University, Tempe, AZ, 85281, USA. nsnyderm@asu.edu.
School of Life Sciences, Arizona State University, Tempe, AZ, 85287, USA. nsnyderm@asu.edu.
Department of Biology, University of Washington, Seattle, WA, 98195, USA. nsnyderm@asu.edu.

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Classifications MeSH