Evidence map›Paper›PMID 40130930›Full record

ArticleMicrobiology resource announcements2025

Archaeal genomes linked to industrial wastewater and associated freshwater in South Africa.

J P Makumbi, O K Bezuidt, S K Leareng, T P Makhalanyane

Abstract read
In one paragraph

Article in Microbiology resource announcements, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

J P MakumbiDepartment of Biochemistry, Genetics and Microbiology, DSI/NRF SARChI in Marine Microbiomics, microbiome@UP, University of Pretoria, Pretoria, South Africa.ORCID 0000-0003-0308-0715
O K BezuidtDepartment of Biochemistry, Genetics and Microbiology, DSI/NRF SARChI in Marine Microbiomics, microbiome@UP, University of Pretoria, Pretoria, South Africa.
S K LearengCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.ORCID 0000-0001-9438-3652
T P MakhalanyaneCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.ORCID 0000-0002-8173-1678

Funding

National Research Foundation UID 110717
6 · The paper itself

Abstract

Archaea provide important ecosystem services including the degradation of contaminants. Here, we present archaeal genomes from understudied South African wastewater treatment plants (WWTPs) and associated rivers receiving industrial effluents. Functional analysis revealed key genes implicated in heavy metal degradation, offering a valuable resource for mechanistic studies on archaeal metabolism.

Indexed as

archaeawastewater

Identifiers

PMID40130930
PMCPMC11984125

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.