Evidence map›Paper›PMID 40307843›Full record

ArticleMicrobiome2025

Quantitative stable isotope probing (qSIP) and cross-domain networks reveal bacterial-fungal interactions in the hyphosphere.

Giovana S Slanzon, Mengting Yuan, Katerina Estera-Molina, Aaron Chew, Steve J Blazewicz, Michael Allen, Mary K Firestone, Jennifer Pett-Ridge, Nhu H Nguyen

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

9 authors.

Giovana S SlanzonUniversity of Hawai'i at Mānoa, Honolulu, USA. giovanas@hawaii.edu.
Mengting YuanUniversity of Hawai'i at Mānoa, Honolulu, USA.
Katerina Estera-MolinaUniversity of California Berkeley, Berkeley, USA.
Aaron ChewLawrence Livermore National Laboratory, Livermore, USA.
Steve J BlazewiczLawrence Livermore National Laboratory, Livermore, USA.
Michael AllenLawrence Livermore National Laboratory, Livermore, USA.
Mary K FirestoneUniversity of California Berkeley, Berkeley, USA.
Jennifer Pett-RidgeUniversity of California Berkeley, Berkeley, USA.
Nhu H NguyenUniversity of Hawai'i at Mānoa, Honolulu, USA. nhu.nguyen@hawaii.edu.

Funding

U.S. Department of Energy Office of Science, Office of Biological and Environmental Research Genomic Science program DE-SC0020163 and DE-SC0016247U.S. Department of Energy Office of Science, Office of Biological and Environmental Research Genomic Science program DE-SC0023106U.S. Department of Energy Office of Science, Office of Biological and Environmental Research Genomic Science program SCW1589 and SCW1678U.S. DOE DE-AC52-07NA27344
6 · The paper itself

Abstract

backgroundInteractions between fungi and bacteria have the potential to substantially influence soil carbon dynamics in soil, but we have yet to fully identify these interactions and partners in their natural environment. In this study, we stacked two powerful methods,

resultsWe found a total of 54 bacterial ASVs and 9 fungal OTUs that were significantly

conclusionsTo date, our ability to associate microbial co-occurrence network patterns with biological interactions is limited, but the incorporation of qSIP allowed us to more precisely detect interacting partners by narrowing in on the taxa that were actively incorporating plant-fixed, fungal-transported labeled substrates. Together, these approaches can help build a mechanistic understanding of the complex nature of fungal-bacterial interactions in soil.

Indexed as

BacteriaFungiMicrobial InteractionsSoil MicrobiologyCaliforniaCarbon IsotopesGrasslandHyphaeIsotope LabelingSoilCarbon IsotopesSoil

Identifiers

PMID40307843
PMCPMC12044819

What OpenQuestion holds

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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.