Evidence map›Paper›PMID 40597586›Full record

ArticleBMC genomics2025

Analysis of NUDIX enzymes across fungi reveals previously unrecognized diversity.

Zofia Pasterny, Drishtee Barua, Eugenio Mancera, Anna Muszewska

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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.

Zofia PasternyInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawinskiego 5 A, Warsaw, 02-106, Poland.
Drishtee BaruaInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawinskiego 5 A, Warsaw, 02-106, Poland.
Eugenio ManceraInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawinskiego 5 A, Warsaw, 02-106, Poland.
Anna MuszewskaInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawinskiego 5 A, Warsaw, 02-106, Poland. musze@ibb.waw.pl.

Funding

Consejo Nacional de Humanidades, Ciencias y Tecnologías I0200/111/2024Narodowe Centrum Nauki #2021/41/B/NZ2/02426
6 · The paper itself

Abstract

backgroundThe NUDIX superfamily encompasses highly diverse enzymes involved in a plethora of biological functions such as mRNA metabolism, DNA repair, and lipid peroxidation. These hydrolases are found in all domains of life and show surprising versatility in terms of the substrates that they process. The knowledge about the diversity of fungal NUDIX proteins is fragmentary, being largely limited to a small number of characterized enzymes from yeasts. To address this knowledge gap systematically, we performed a detailed analysis of the NUDIX hydrolases across 183 fungal proteomes.

resultsMembers of six of the known NUDIX families were present in fungi being particularly abundant in Glomeromycota. Phylogenetic analysis and sequence clustering grouped fungal NUDIX enzymes in 25 subfamilies, 13 of which did not cluster with previously known enzymes. These 13 newly identified subfamilies all belong to the canonical NUDIX family, and structural comparison revealed a typical NUDIX fold with α-β-α sandwich structure. Molecular docking suggested Ap3A and Ap4A as substrates with the highest binding affinity, but their possible cellular roles remain unclear. We also found evidence of expression of most of the genes that encode these enzymes, suggesting physiological relevance.

conclusionsOur analysis offers a comprehensive perspective on the structural and sequence relationships of the NUDIX superfamily across fungi with potential to guide experimental characterization of their biological functions.

Indexed as

Fungal ProteinsFungiMolecular Docking SimulationMultigene FamilyNudix HydrolasesPhylogenyFungal ProteinsNudix HydrolasesFungiGlomeromycotaNUDIX hydrolasesProtein familiesSubstrate specificity

Identifiers

PMID40597586
PMCPMC12210691

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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.