Evidence map›Paper›PMID 39113842›Full record

ArticleFrontiers in microbiology2024

Plant species influences the composition of root system microbiome and its antibiotic resistance profile in a constructed wetland receiving primary treated wastewater.

Valentina Riva, Lorenzo Vergani, Ahmed Ali Rashed, Aiman El Saadi, Raffaella Sabatino, Andrea Di Cesare, Elena Crotti, Francesca Mapelli, Sara Borin

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Valentina RivaDepartment of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.
Lorenzo VerganiDepartment of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.
Ahmed Ali RashedNational Water Management and Irrigation Systems Research Institute, National Water Research Center, Shoubra meuip El-Kheima, Egypt.
Aiman El SaadiNational Water Management and Irrigation Systems Research Institute, National Water Research Center, Shoubra meuip El-Kheima, Egypt.
Raffaella SabatinoNational Research Council of Italy - Water Research Institute (CNR-IRSA) Molecular Ecology Group (MEG), Verbania, Italy.
Andrea Di CesareNational Research Council of Italy - Water Research Institute (CNR-IRSA) Molecular Ecology Group (MEG), Verbania, Italy.
Elena CrottiDepartment of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.
Francesca MapelliDepartment of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.
Sara BorinDepartment of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Constructed wetlands (CWs) are nature-based solutions for wastewater treatment where the root system microbiome plays a key role in terms of nutrient and pollutant removal. Nonetheless, little is known on plant-microbe interactions and bacterial population selection in CWs, which are mostly characterized in terms of engineering aspects. Methods: Here, cultivation-independent and cultivation-based analyses were applied to study the bacterial communities associated to the root systems of Results and discussion: Two endophytic bacteria collections (

Indexed as

antibiotic resistance genesPhragmites australisphytodepurationplant-microbe interactionsTypha domingensiswater reuse

Identifiers

PMID39113842
PMCPMC11303162

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.