Evidence map›Paper›PMID 40290376›Full record

ArticleEcology and evolution2025

Environmental DNA: Preliminary Characterization of Microbiota in Three Sicilian Lakes.

Manuela Mauro, Valeria Villanova, Mario Lo Valvo, Rosa Alduina, Slobodanka Radovic, Aiti Vizzini, Grazia Orecchio, Francesco Longo, Rosario Badalamenti, Vincenzo Ferrantelli and 4 more

Abstract read
In one paragraph

Article in Ecology and evolution, 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Manuela MauroDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.
Valeria VillanovaDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.ORCID https://orcid.org/0000-0001-6619-6315
Mario Lo ValvoDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.ORCID https://orcid.org/0000-0003-2159-5245
Rosa AlduinaDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.ORCID https://orcid.org/0000-0003-1054-6915
Slobodanka RadovicIGA Technology Services Srl Udine Italy.
Aiti VizziniDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.
Grazia OrecchioDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.
Francesco LongoDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.
Rosario BadalamentiDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.
Vincenzo FerrantelliIstituto Zooprofilattico Sperimentale della Sicilia "A. Mirri" Palermo Italy.
Gaetano CammilleriIstituto Zooprofilattico Sperimentale della Sicilia "A. Mirri" Palermo Italy.
Annamaria MauroArpa Sicilia UOC Acque Interne e Suolo Palermo Italy.
Vincenzo ArizzaDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.
Mirella VazzanaDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF) University of Palermo Palermo Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Freshwater ecosystems play a key role in biogeochemical cycles and face various anthropogenic impacts. Understanding microbial communities within these ecosystems is crucial for ecosystem management and conservation. This study conducted a metabarcoding analysis of the bacterial 16S rDNA of environmental DNA (eDNA) to investigate the microbial diversity and composition in three Sicilian lakes (Poma, Piana, and Scanzano). The results revealed a common core microbiota in all the lakes, with Poma and Piana showing similar compositions, followed by Scanzano. Key bacterial phyla identified as core members across the sampled sites included Actinobacteriota, Proteobacteria, Bacteroidota, Verrucomicrobiota, Planctomycetota, and Cyanobacteria. Additionally, specific bacterial families such as Comamonadaceae, Burkholderiaceae, Ilumatobacteraceae, and Sporichthyaceae uniquely contributed to the microbial community structures. eDNA demonstrates potential as a quicker and less invasive tool to investigate biodiversity studies for these sites. The findings illuminate the intricate microbial dynamics within Sicilian freshwater ecosystems and emphasize the importance of considering microbial diversity in freshwater conservation and management strategies.

Indexed as

eDNAfreshwater ecosystemsmetabarcoding analysismicrobiota

Identifiers

PMID40290376
PMCPMC12022232

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Registered trials

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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.