Evidence map›Paper›PMID 36212864›Full record

ArticleFrontiers in microbiology2022

Analysis of pit latrine microbiota reveals depth-related variation in composition, and key parameters and taxa associated with latrine fill-up rate.

Umer Zeeshan Ijaz, Ozan Gundogdu, Ciara Keating, Miriam van Eekert, Walter Gibson, Julian Parkhill, Faraji Abilahi, Benard Liseki, Viet-Anh Nguyen, Steven Sudgen and 4 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

14 authors.

Umer Zeeshan IjazSchool of Engineering, University of Glasgow, Glasgow, United Kingdom.
Ozan GundogduDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Ciara KeatingSchool of Engineering, University of Glasgow, Glasgow, United Kingdom.
Miriam van EekertLeAF, Wageningen, Netherlands.
Walter GibsonBear Valley Ventures Ltd., Tarporley, United Kingdom.
Julian ParkhillDepartment of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Faraji AbilahiIfakara Health Institute, Ifakara, Tanzania.
Benard LisekiIfakara Health Institute, Ifakara, Tanzania.
Viet-Anh NguyenHanoi University of Civil Engineering, Hanoi, Vietnam.
Steven SudgenEnvironmental Health Group, Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Christopher QuinceOrganisms and Ecosystems, Earlham Institute, Norwich, United Kingdom.
Jeroen H J EnsinkEnvironmental Health Group, Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Belen TorondelEnvironmental Health Group, Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Alan W WalkerPathogen Genomics, Wellcome Sanger Institute, Hinxton, United Kingdom.

Funding

Medical Research Council MR/M50161X/1Wellcome Trust 098051
6 · The paper itself

Abstract

Pit latrines are used by billions of people globally, often in developing countries where they provide a low-tech and low-cost sanitation method. However, health and social problems can arise from a lack of emptying or maintenance of these facilities. A better understanding of the biological and environmental parameters within pit latrines could inform attempts to enhance material decomposition rates, and therefore slow fill-up rate. In this study, we have performed a spatial analysis of 35 Tanzanian pit latrines to identify bacteria and environmental factors that are associated with faster or slower pit latrine fill-up rates. Using ordination of microbial community data, we observed a linear gradient in terms of beta diversity with increasing pit latrine sample depth, corresponding to a shift in microbial community structure from gut-associated families in the top layer to environmental- and wastewater-associated taxa at greater depths. We also investigated the bacteria and environmental parameters associated with fill-up rates, and identified pH, volatile solids, and volatile fatty acids as features strongly positively correlated with pit latrine fill-up rates, whereas phosphate was strongly negatively correlated with fill-up rate. A number of pit latrine microbiota taxa were also correlated with fill-up rates. Using a multivariate regression, we identified the

Indexed as

16S rRNA gene sequencingdecompositionmicrobiotapit latrinessanitation

Identifiers

PMID36212864
PMCPMC9539666

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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.