Gut microbial similarity in twins is driven by shared environment and aging.
16S rRNA sequencing
Aging
Equality
Helicobacter pylori
Microbiome
Shared household
Stomach
Journal
EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039
Informations de publication
Date de publication:
May 2022
May 2022
Historique:
received:
08
12
2021
revised:
01
04
2022
accepted:
01
04
2022
pubmed:
2
5
2022
medline:
18
5
2022
entrez:
1
5
2022
Statut:
ppublish
Résumé
Human gut microbiome composition is influenced by genetics, diet and environmental factors. We investigated the microbial composition in several gastrointestinal (GI) compartments to evaluate the impact of genetics, delivery mode, diet, household sharing and aging on microbial similarity in monozygotic and dizygotic twins. Fecal, biopsy and saliva samples were obtained from total 108 twins. DNA and/or RNA was extracted and the region V1-V2 of the 16S rRNA gene was amplified and sequenced. Bray-Curtis similarity was used for further microbiome comparisons, Mann-Whitney test was applied to evaluate the significant differences between groups and Spearman test was applied to reveal potential correlations between data. The global bacterial profiles were grouped into two clusters separating the upper and lower GI. The upper GI microbiome composition was strictly dependent on the Helicobacter pylori status. With a positivity rate of 55%, H. pylori completely colonized the stomach and separated infected twins from non-infected twins irrespective of zygosity status. Lower GI microbiome similarity between the twins was defined mainly by household-sharing and aging; whereas delivery mode and host genetics had no influence. There was a progredient decrease in the bacterial similarity with aging. Shared vs. non-shared phylotypes analysis showed that in both siblings the shared phylotypes progressively diminished with aging, while the non-shared phylotypes increased. Our findings strongly highlight the aging and shared household as they key determinants in gut microbial similarity and drift in twins irrespective of their zygotic state. This work was supported by the grant of the Research Council of Lithuania (Project no. APP-2/2016) and also partially supported by the funds of European Commission through the "European funds for regional development" (EFRE) as well as by the regional Ministry of Economy, Science and Digitalization as part of the "LiLife" Project as part of the "Autonomy in old Age" research group (Project ID: ZS/2018/11/95324).
Sections du résumé
BACKGROUND
BACKGROUND
Human gut microbiome composition is influenced by genetics, diet and environmental factors. We investigated the microbial composition in several gastrointestinal (GI) compartments to evaluate the impact of genetics, delivery mode, diet, household sharing and aging on microbial similarity in monozygotic and dizygotic twins.
METHODS
METHODS
Fecal, biopsy and saliva samples were obtained from total 108 twins. DNA and/or RNA was extracted and the region V1-V2 of the 16S rRNA gene was amplified and sequenced. Bray-Curtis similarity was used for further microbiome comparisons, Mann-Whitney test was applied to evaluate the significant differences between groups and Spearman test was applied to reveal potential correlations between data.
FINDINGS
RESULTS
The global bacterial profiles were grouped into two clusters separating the upper and lower GI. The upper GI microbiome composition was strictly dependent on the Helicobacter pylori status. With a positivity rate of 55%, H. pylori completely colonized the stomach and separated infected twins from non-infected twins irrespective of zygosity status. Lower GI microbiome similarity between the twins was defined mainly by household-sharing and aging; whereas delivery mode and host genetics had no influence. There was a progredient decrease in the bacterial similarity with aging. Shared vs. non-shared phylotypes analysis showed that in both siblings the shared phylotypes progressively diminished with aging, while the non-shared phylotypes increased.
INTERPRETATION
CONCLUSIONS
Our findings strongly highlight the aging and shared household as they key determinants in gut microbial similarity and drift in twins irrespective of their zygotic state.
FUNDING
BACKGROUND
This work was supported by the grant of the Research Council of Lithuania (Project no. APP-2/2016) and also partially supported by the funds of European Commission through the "European funds for regional development" (EFRE) as well as by the regional Ministry of Economy, Science and Digitalization as part of the "LiLife" Project as part of the "Autonomy in old Age" research group (Project ID: ZS/2018/11/95324).
Identifiants
pubmed: 35490553
pii: S2352-3964(22)00195-5
doi: 10.1016/j.ebiom.2022.104011
pmc: PMC9062754
pii:
doi:
Substances chimiques
RNA, Ribosomal, 16S
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
104011Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interest JS and JK were supported by the grant of the Research Council of Lithuania (Project no. APP-2/2016). PM received either speakers of consulting fees from Aboca, Bayer, Biocodex, Malesci, Mayoly-Spindler, Menarini, Synlab, Danone, Phathom during the conduct of the study. AL received research funding from EFRE (Project ID: ZS/2018/11/95324). All other authors have nothing to disclose.
Références
Cell Host Microbe. 2016 May 11;19(5):731-43
pubmed: 27173935
Curr Opin Microbiol. 2018 Aug;44:9-19
pubmed: 29909175
Environ Microbiol. 2014 Sep;16(9):2939-52
pubmed: 24354520
Nat Med. 2019 Jul;25(7):1104-1109
pubmed: 31235964
Genome Biol. 2014;15(7):R89
pubmed: 25146375
Arch Intern Med. 2000 Jan 10;160(1):105-9
pubmed: 10632311
Sci Rep. 2020 May 14;10(1):7954
pubmed: 32409670
Curr Microbiol. 2017 Feb;74(2):224-229
pubmed: 27957630
Sci Rep. 2020 Oct 1;10(1):16240
pubmed: 33004953
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
Helicobacter. 2018 Sep;23 Suppl 1:e12521
pubmed: 30203586
Gut. 2018 Apr;67(4):625-633
pubmed: 28360096
Cell Syst. 2016 Dec 21;3(6):572-584.e3
pubmed: 27818083
PLoS One. 2013 Apr 22;8(4):e61217
pubmed: 23630581
BMC Microbiol. 2016 May 25;16:90
pubmed: 27220822
Gut. 2018 Feb;67(2):216-225
pubmed: 27920199
Nat Genet. 2016 Nov;48(11):1396-1406
pubmed: 27723756
Environ Microbiol Rep. 2015 Dec;7(6):929-35
pubmed: 26306992
Cell Host Microbe. 2020 Aug 12;28(2):298-305.e3
pubmed: 32697939
Nat Genet. 2015 Jul;47(7):702-9
pubmed: 25985137
Aliment Pharmacol Ther. 2020 Mar;51(6):582-602
pubmed: 32056247
Microbiome. 2017 Jan 17;5(1):4
pubmed: 28095889
Science. 2015 Dec 4;350(6265):1214-5
pubmed: 26785481
Appl Environ Microbiol. 2007 Aug;73(16):5261-7
pubmed: 17586664
Nature. 2014 Jan 23;505(7484):559-63
pubmed: 24336217
Cell Host Microbe. 2017 Sep 13;22(3):269-278.e3
pubmed: 28910633
Nature. 2016 Jul 06;535(7610):94-103
pubmed: 27383984
Cell. 2014 Nov 6;159(4):789-99
pubmed: 25417156
PLoS One. 2019 Dec 5;14(12):e0226111
pubmed: 31805145
J Clin Med. 2020 Jun 16;9(6):
pubmed: 32560179
Nucleic Acids Res. 2019 Jul 2;47(W1):W256-W259
pubmed: 30931475
Nature. 2009 Jan 22;457(7228):480-4
pubmed: 19043404
Nat Genet. 2016 Nov;48(11):1413-1417
pubmed: 27694960
Sci Transl Med. 2016 Jun 15;8(343):343ra82
pubmed: 27306664
Microorganisms. 2019 Jan 11;7(1):
pubmed: 30641975
Microbiome. 2021 Feb 23;9(1):54
pubmed: 33622378
Gastroenterology. 2019 Oct;157(4):1081-1092.e3
pubmed: 31175864
Cell Host Microbe. 2019 Feb 13;25(2):261-272.e5
pubmed: 30763537
Nat Genet. 2016 Nov;48(11):1407-1412
pubmed: 27694959
Sci Rep. 2018 May 8;8(1):7267
pubmed: 29740156
Trends Immunol. 2017 Sep;38(9):633-647
pubmed: 28669638
Nature. 2018 Mar 8;555(7695):210-215
pubmed: 29489753
N Engl J Med. 2016 Dec 15;375(24):2369-2379
pubmed: 27974040