Evidence map›Paper›PMID 42335930›Full record

ArticleFEMS microbiology ecology2026

Exploring local and regional drivers of microbial biodiversity across freshwater ponds.

Emily A Hardison, José F Goyco-Blas, Noah T Leith, Christopher J Gabriel, Trina M Wantman, Jakub Zegar, Matthew W H Chatfield, Michel E B Ohmer, Kevin D Kohl

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 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

9 authors.

Emily A HardisonDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260,  United States.ORCID 0000-0002-3668-5035
José F Goyco-BlasDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260,  United States.
Noah T LeithDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260,  United States.ORCID 0000-0002-5267-9014
Christopher J GabrielDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260,  United States.
Trina M WantmanSchool of Biology and Ecology, University of Maine, Orono, ME 04469,  United States.
Jakub ZegarDepartment of Biology, University of Mississippi, University, MS 38677,  United States.
Matthew W H ChatfieldSchool of Biology and Ecology, University of Maine, Orono, ME 04469,  United States.ORCID 0000-0001-5808-5332
Michel E B OhmerDepartment of Biology, University of Mississippi, University, MS 38677,  United States.ORCID 0000-0002-5937-6585
Kevin D KohlDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260,  United States.ORCID 0000-0003-1126-2949

Funding

National Science Foundation #2305704
6 · The paper itself

Abstract

Ponds are biodiversity hotspots that harbor diverse macro-organisms and microbial communities, despite being isolated, highly variable environments with island-like features. These factors may give rise to unique biogeographic patterns and drivers of microbial community diversity. Here, we evaluated environmental and regional drivers of pond fungal and bacterial biodiversity to determine whether these communities follow commonly observed biogeographical trends. We collected water and muck from 40 ponds across 8 states in the Eastern USA and sequenced sections of the 16S rRNA gene and ITS1 region to survey the bacterial and fungal communities and test (1) whether these communities follow latitudinal diversity gradients and distance decay relationships, and (2) if variation in community composition or richness was related to specific environmental or land-use factors. We found that pond microbial communities exhibit distinct distribution patterns and relationships with environmental drivers depending on the microhabitat and microbial taxa. For example, muck fungal communities followed latitudinal diversity gradients, but bacterial communities did not. Abiotic conditions within ponds explained more variation than surrounding land use or the distance between sites, with temperature universally linked to microbial biodiversity. All sample types displayed weak distance-decay relationships, likely because of low spatial autocorrelation in environmental conditions and the lack of connectivity across ponds.

Indexed as

BacteriaBiodiversityFresh WaterFungiPondsWater MicrobiologyPhylogenyRNA, Ribosomal, 16SUnited StatesRNA, Ribosomal, 16Sdistance decayfreshwatermicrobial biodiversitypondtemperature

Identifiers

PMID42335930
PMCPMC13377648

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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.