Evidence map›Paper›PMID 42367847›Full record

ArticlebioRxiv : the preprint server for biology2026

Soil Resistomes in a Tropical Watershed are Indirectly Structured by Bacterial Community Interactions with Soil Properties.

Wesley J Sparagon, Sean Lary, Makana T Ioh, Andrew Lin, Ishwora Dhungana, Christian R Fullmer, Christy R Handel, Roshan Paudel, Juli Burden, Justene N Deubel and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

16 authors.

Wesley J SparagonDepartment of Tropical Plant and Soil Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0002-9627-4174
Sean LarySchool of Life Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0002-3098-8588
Makana T IohDepartment of Tropical Plant and Soil Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0009-0003-7084-2713
Andrew LinDepartment of Tropical Plant and Soil Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.
Ishwora DhunganaDepartment of Tropical Plant and Soil Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0002-8644-9428
Christian R FullmerDepartment of Tropical Plant and Soil Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0009-0004-2719-1596
Christy R HandelSchool of Life Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0002-0375-7389
Roshan PaudelPlant and Environmental Protection Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0001-7857-6091
Juli BurdenSchool of Life Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.
Justene N DeubelSchool of Life Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0003-0611-5338
Malissa Ann G TayoNatural Resources & Environmental Management, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0002-3317-1864
Francisca E RodriguezPacific Biosciences Research Center, SOEST, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0001-5778-0288
Sean O I SwiftPacific Biosciences Research Center, SOEST, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0002-1170-4711
Kirsten K NakayamaPacific Biosciences Research Center, SOEST, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0003-2454-3010
Tai M MaazDepartment of Tropical Plant and Soil Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0002-4776-1769
Nhu H NguyenDepartment of Tropical Plant and Soil Sciences, University of Hawai i at Mānoa, Honolulu, Hawai i, USA.ORCID 0000-0001-8276-7042

Funding

The Control of Insect Metabolism through Nutrition-based SymbiosisP20GM125508 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI PATRICIA A COUVILLON · 2018 to 2026
$21.2M
NIGMS NIH HHS P20 GM125508
6 · The paper itself

Abstract

Soils are recognized as reservoirs of antibiotic resistance genes (ARGs) with the potential to transfer to clinical pathogens, creating antimicrobial resistance (AMR) that poses a threat to human health. While large-scale AMR surveys have profiled how diverse biomes shape soil resistomes, less is known about the influence of specific soil properties. Here, we combined metagenomics and 16S rRNA amplicon sequencing with isolate-based approaches to investigate drivers of soil AMR across a tropical watershed from beach to mountaintop in Waimea Valley, O'ahu, Hawai i. We leveraged functional- and taxonomic-classification of resistances to unravel how soil properties interact with bacterial taxa to structure resistomes. Metagenomic- and isolate-resistomes showed remarkable consistency, including a general gradient of increasing AMR from ridge to beach. Resistome functional composition was significantly correlated with total bacterial community structure. The relationship between resistances and soil properties was primarily dictated by taxonomic composition of each resistance. Rifampin- and Vancomycin-ARGs associated with Actinomycetes negatively correlated with soil physical properties, while resistant genes and isolates from Gammaproteobacteria positively correlated with enzymatic activity metrics. These findings indicate that soil properties structure the resistome indirectly through taxonomic filtering of microbial hosts and challenge the notion that AMR is decoupled from phylogenetic relatedness.

Indexed as

Antimicrobial resistanceculturemetagenomicssoil propertiessoil resistome

Identifiers

PMID42367847
PMCPMC13308140

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.