Evidence map›Paper›PMID 39419776›Full record

ArticleFEMS microbiology letters2024

Discovery of a glyphosate oxidase in nature.

Minghui Ma, Afshan Ardalan, Adrian Van Dyk, Trevor C Charles, Geoff P Horsman

Abstract read
In one paragraph

Article in FEMS microbiology letters, 2024. 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

5 authors.

Minghui MaDepartment of Chemistry and Biochemistry, Wilfrid Laurier University, Waterloo N2L 3C5, Canada.ORCID 0009-0002-1957-3469
Afshan ArdalanDepartment of Chemistry and Biochemistry, Wilfrid Laurier University, Waterloo N2L 3C5, Canada.
Adrian Van DykDepartment of Biology, University of Waterloo, Waterloo N2L 3G1, Canada.ORCID 0000-0002-8586-6828
Trevor C CharlesDepartment of Biology, University of Waterloo, Waterloo N2L 3G1, Canada.ORCID 0000-0002-0344-5932
Geoff P HorsmanDepartment of Chemistry and Biochemistry, Wilfrid Laurier University, Waterloo N2L 3C5, Canada.ORCID 0000-0002-2023-2349

Funding

Natural Sciences and Engineering Research Council of Canada STPGP-506399-2017
6 · The paper itself

Abstract

Glyphosate is the most used herbicide on Earth. After a half-century of use we know only two biodegradative pathways, each of which appears to degrade glyphosate incidentally. One pathway begins with oxidation of glyphosate catalysed by glycine oxidase (GO). To date, no naturally occurring GO enzymes preferentially oxidize glyphosate but nonetheless are sufficiently active to initiate its degradation. However, GO enzymes that preferentially oxidize glyphosate over glycine-i.e. glyphosate oxidases (GOXs)-may have evolved in environments facing prolonged glyphosate exposure. To test this hypothesis, we screened a metagenomic library from glyphosate-exposed agricultural soil and identified a GOX from clone 11AW19 (GO19) that prefers glyphosate over glycine by four orders of magnitude. This is the first GO isolated from a natural source exhibiting a glyphosate preference. Not only have we discovered the first GOX in nature, but we have also demonstrated the utility of functional metagenomics to find a GOX with greater catalytic efficiency and specificity than those engineered using directed evolution.

Indexed as

Amino Acid OxidoreductasesGlycineGlyphosateHerbicidesSoil MicrobiologyMetagenomicsOxidation-ReductionAmino Acid OxidoreductasesGlycineglycine oxidaseGlyphosateHerbicidesbiodegradationenzymesglycine oxidaseglyphosateglyphosate oxidasemetagenomics

Identifiers

PMID39419776
PMCPMC11556335

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.