Evidence map›Paper›PMID 41719067›Full record

ArticleMicrobial genomics2026

Genomic and functional divergence of oxalate metabolism pathways in bacteria from contrasting ecosystems.

Arun N Prasanna, Sabiha Parween, Katja Froehlich, Tanja Schmidt, Kirti Shekhawat, Durga D Prabhu, Maged M Saad, Heribert Hirt

Abstract read
In one paragraph

Article in Microbial genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

8 authors.

Arun N PrasannaDARWIN21, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia.
Sabiha ParweenDARWIN21, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia.
Katja FroehlichDARWIN21, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia.
Tanja SchmidtDARWIN21, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia.
Kirti ShekhawatDARWIN21, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia.
Durga D PrabhuDARWIN21, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia.
Maged M SaadDARWIN21, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia.
Heribert HirtDARWIN21, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900 Thuwal, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxalotrophy refers to the ability of bacteria to utilize oxalate as a carbon and energy source. This is a critical process, with significant implications for the global carbon cycle. Oxalate-degrading bacteria play a key role in carbon sequestration through the oxalate-carbonate pathway, contributing to stable inorganic carbon pools. In this study, we identified and catalogued 19 enzymes and a transporter associated with various facets of oxalate metabolism to characterize the oxalotrophic potential of bacteria. Within this group, sets of enzymes were grouped into two functional categories in the context of carbon sequestration: a biomineralization toolkit for converting oxalate to inorganic carbon and an assimilation toolkit for incorporating oxalate into metabolic pathways such as amino acid biosynthesis and energy production. Using bioinformatic approaches, we analysed a collection of 536 bacterial genomes from desert and dryland strains spanning 81 genera to identify oxalotrophs. To validate our findings, we tested several bacterial strains for growth on media supplemented with exogenous oxalate. Notably, while multiple bacterial strains grew on oxalate media, two

Indexed as

BacteriaMetabolic Networks and PathwaysOxalatesBacterial ProteinsCarbonEcosystemGenome, BacterialGenomicsPseudomonasBacterial ProteinsCarbonOxalatesextreme environmentsgenome assemblymetabolic pathwaysoxalic acidoxalotrophy

Identifiers

PMID41719067
PMCPMC12927642

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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.