Evidence map›Paper›PMID 42156650›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Shotgun Metagenomic Analysis of Microbial Community Dynamics in Wastewater Treatment Through Constructed Wetlands.

Georgios Miliotis, Anna Tumeo

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

2 authors.

Georgios MiliotisDiscipline of Bacteriology, School of Medicine, University of Galway, Galway, Ireland. georgios.miliotis@universityofgalway.ie.
Anna TumeoDiscipline of Bacteriology, School of Medicine, University of Galway, Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Constructed wetlands (CWs) offer a sustainable, nature-based solution to wastewater treatment, supporting diverse and dynamic microbial communities that drive nutrient cycling, pollutant degradation, and pathogen removal. This chapter presents an end-to-end methodology for performing shotgun metagenomic analyses on microbial populations from CW influent and effluent. We detail approaches for site selection, sample collection, filtration, DNA extraction, and the incorporation of positive and negative controls to ensure reproducibility and data quality. Two modular bioinformatic workflows encompassing quality control, assembly, taxonomic/functional annotation, and metagenome-assembled genome recovery are described alongside options for detecting antimicrobial resistance genes, pathogens, toxins, and plasmids. In addition, an example workflow for the calculation of alpha and beta diversity is provided. Guidelines for data standardization, replication, and compliance with community-driven reporting standards (MIMS, MIMAG) are also included. Incorporating this protocol will facilitate standardized, reproducible insights into CW microbial dynamics, thereby informing ecological understanding and guiding practical interventions that enhance wastewater treatment efficacy and improve public health outcomes.

Indexed as

MetagenomeMetagenomicsMicrobiotaWastewaterWater PurificationWetlandsBacteriaComputational BiologyShotgun SequencingWastewaterAntimicrobial resistanceAntimicrobial resistance (AMR)Constructed wetlandsConstructed wetlands (CWs)Metagenome-assembled genomesMetagenome-assembled genomes (MAGs)Microbial communitiesMicrobial communitiesPathogen detectionShotgun metagenomicsShotgun metagenomicsTaxonomic and functional annotationTaxonomic and functional annotationsWastewater treatmentWastewater treatment

Identifiers

What OpenQuestion holds

Textmetadata
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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.