Evidence map›Paper›PMID 35862660›Full record

ArticleApplied and environmental microbiology2022

Differential Overlap in Human and Animal Fecal Microbiomes and Resistomes in Rural versus Urban Bangladesh.

Jenna M Swarthout, Erica R Fuhrmeister, Latifah Hamzah, Angela R Harris, Mir A Ahmed, Emily S Gurley, Syed M Satter, Alexandria B Boehm, Amy J Pickering

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Antimicrobial-resistantmedRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. One Health, One Microbiome.Microbiome · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Environmental Exposures and the Human Gut Resistome in Northwest Ecuador.medRxiv : the preprint server for health sciences · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
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

9 authors at 5 institutions in 2 countries.

Jenna M Swarthout *Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts, USA.ORCID 0000-0002-0181-0828
Erica R Fuhrmeister *Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts, USA.
Latifah HamzahDepartment of Civil and Environmental Engineering, Stanford Universitygrid.168010.e, Stanford, California, USA.
Angela R HarrisDepartment of Civil, Construction, and Environmental Engineering, North Carolina State Universitygrid.40803.3f, Raleigh, North Carolina, USA.
Mir A AhmedInternational Centre for Diarrhoeal Disease Researchgrid.414142.6, Bangladesh, Dhaka, Bangladesh.
Emily S GurleyInternational Centre for Diarrhoeal Disease Researchgrid.414142.6, Bangladesh, Dhaka, Bangladesh.
Syed M SatterInternational Centre for Diarrhoeal Disease Researchgrid.414142.6, Bangladesh, Dhaka, Bangladesh.
Alexandria B BoehmDepartment of Civil and Environmental Engineering, Stanford Universitygrid.168010.e, Stanford, California, USA.ORCID 0000-0002-8162-5090
Amy J PickeringDepartment of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts, USA.ORCID 0000-0001-6193-2221
Tufts University · USInternational Centre for Diarrhoeal Disease Research · BDStanford University · USJohns Hopkins University · USNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low- and middle-income countries (LMICs) bear the largest mortality burden of antibiotic-resistant infections. Small-scale animal production and free-roaming domestic animals are common in many LMICs, yet data on zoonotic exchange of gut bacteria and antibiotic resistance genes (ARGs) in low-income communities are sparse. Differences between rural and urban communities with regard to population density, antibiotic use, and cohabitation with animals likely influence the frequency of transmission of gut bacterial communities and ARGs between humans and animals. Here, we determined the similarity in gut microbiomes, using 16S rRNA gene amplicon sequencing, and resistomes, using long-read metagenomics, between humans, chickens, and goats in a rural community compared to an urban community in Bangladesh. Gut microbiomes were more similar between humans and chickens in the rural (where cohabitation is more common) than the urban community, but there was no difference for humans and goats in the rural versus the urban community. Human and goat resistomes were more similar in the urban community, and ARG abundance was higher in urban animals than rural animals. We identified substantial overlap of ARG alleles in humans and animals in both settings. Humans and chickens had more overlapping ARG alleles than humans and goats. All fecal hosts from the urban community and rural humans carried ARGs on chromosomal contigs classified as potentially pathogenic bacteria, including Escherichia coli, Campylobacter jejuni, Clostridioides difficile, and Klebsiella pneumoniae. These findings provide insight into the breadth of ARGs circulating within human and animal populations in a rural compared to urban community in Bangladesh.

Indexed as

MicrobiotaRural PopulationAnimalsAnti-Bacterial AgentsBacteriaBangladeshChickensEscherichia coliGenes, BacterialHumansRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16Santibiotic resistancemetagenomicsmicrobiomeone healthpublic healthresistome

Identifiers

PMID35862660
PMCPMC9317872
OpenAlexW4285011742

What OpenQuestion holds

Textmetadata
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.