Evidence map›Paper›PMID 30665461›Full record

ArticleGenome biology2019

Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana.

Matthew E B Hansen, Meagan A Rubel, Aubrey G Bailey, Alessia Ranciaro, Simon R Thompson, Michael C Campbell, William Beggs, Jaanki R Dave, Gaonyadiwe G Mokone, Sununguko Wata Mpoloka and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 4 pooled it
6.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 4 syntheses or guidelines pooled it, 117 citations in OpenAlex.

  1. Global Microbiome: Core and Unique Signatures Across Diverse Populations.International journal of molecular sciences · 2026
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  6. Industrialization increases the estrogen-recycling capacity of the gut microbiome.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 5 countries.

Matthew E B HansenDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Meagan A RubelDepartment of Anthropology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Aubrey G BaileyDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Alessia RanciaroDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Simon R ThompsonDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Michael C CampbellDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
William BeggsDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jaanki R DaveDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Gaonyadiwe G MokoneDepartment of Biomedical Sciences, University of Botswana School of Medicine, Gaborone, Botswana.
Sununguko Wata MpolokaDepartment of Biological Sciences, University of Botswana, Gaborone, Botswana.
Thomas NyamboDepartment of Biochemistry, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Christian AbnetCancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA.
Stephen J ChanockCancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA.
Frederic D BushmanDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sarah A TishkoffDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. tishkoff@pennmedicine.upenn.edu.ORCID 0000-0002-1339-5959
University of Pennsylvania · USNational Cancer Institute · USUniversity of Botswana · BWGeisinger Commonwealth School of Medicine · USGenomics England · GBHoward University · USMuhimbili University of Health and Allied Sciences · TZUniversity of Eastern Finland · FI

Funding

Translational Research Training Program in Environmental Health SciencesT32ES019851 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Kara A Bernstein, Trevor M Penning · 2012 to 2026
$6.0M
PARASITOLOGY: MODERN APPROACHEST32AI007532 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HERBERT, DE'BROSKI R · 1998 to 2022
$5.0M
Integrative Genomics of Body Size and Metabolism in Ethnically Diverse AfricansR01GM113657 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2015 to 2019
$2.8M
Integrative Genomic Analyses of Human Evolution and Adaptation in AfricaR35GM134957 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2020 to 2024
$2.7M
African Odyssey: An Integrative Genomics Analysis of Complex Physiologic TraitsDP1ES022577 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2012 to 2013
$1.6M
Integrative nutrigenomic and metabolomic analyses of Africans with variable dietsR01DK104339 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2015 to 2018
$1.4M
NIAID NIH HHS T32 AI007532NIDDK NIH HHS R01 DK104339NIEHS NIH HHS DP1 ES022577NIEHS NIH HHS T32 ES019851NIGMS NIH HHS R01 GM113657NIGMS NIH HHS R35 GM134957NIH HHS 1R01DK104339-01NIH HHS 1R01GM113657-01NIH HHS 5T32AI007532-18NIH HHS DP1 ES022577-04NIH HHS T32ES019851-02
6 · The paper itself

Abstract

backgroundGut microbiota from individuals in rural, non-industrialized societies differ from those in individuals from industrialized societies. Here, we use 16S rRNA sequencing to survey the gut bacteria of seven non-industrialized populations from Tanzania and Botswana. These include populations practicing traditional hunter-gatherer, pastoralist, and agropastoralist subsistence lifestyles and a comparative urban cohort from the greater Philadelphia region.

resultsWe find that bacterial diversity per individual and within-population phylogenetic dissimilarity differs between Botswanan and Tanzanian populations, with Tanzania generally having higher diversity per individual and lower dissimilarity between individuals. Among subsistence groups, the gut bacteria of hunter-gatherers are phylogenetically distinct from both agropastoralists and pastoralists, but that of agropastoralists and pastoralists were not significantly different from each other. Nearly half of the Bantu-speaking agropastoralists from Botswana have gut bacteria that are very similar to the Philadelphian cohort. Based on imputed metagenomic content, US samples have a relative enrichment of genes found in pathways for degradation of several common industrial pollutants. Within two African populations, we find evidence that bacterial composition correlates with the genetic relatedness between individuals.

conclusionsAcross the cohort, similarity in bacterial presence/absence compositions between people increases with both geographic proximity and genetic relatedness, while abundance weighted bacterial composition varies more significantly with geographic proximity than with genetic relatedness.

Indexed as

Gastrointestinal MicrobiomeAdolescentAdultAgedAged, 80 and overAgricultureAnimalsBacteroidaceaeBotswanaCattleCohort StudiesDiet, PaleolithicEubacterialesFemaleHumansMaleAdaptationAgropastoralistsDietGeneticsGut microbiomeHunter-gatherersIndustrializationPastoralistsRural populationsSub-Saharan Africa

Identifiers

PMID30665461
PMCPMC6341659
OpenAlexW2917203974

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.