Evidence map›Paper›PMID 40520380›Full record

ArticleFrontiers in microbiology2025

Metagenomic insights to bacterial communities, functional traits, and soil health in banana smallholder agroecosystems of Kenya.

Eugene Mwanza Muzami, George Kitundu, Oscar Mwaura Muriithi, Agnes Mumo Kavoo, Virginia Gathoni Gichuru, Wilton Mwema Mbinda

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

6 authors.

Eugene Mwanza MuzamiDepartment of Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya.
George KitunduDepartment of Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya.
Oscar Mwaura MuriithiDepartment of Biological Sciences, Pwani University, Kilifi, Kenya.
Agnes Mumo KavooDepartment of Horticulture, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya.
Virginia Gathoni GichuruDepartment of Biological Sciences, Pwani University, Kilifi, Kenya.
Wilton Mwema MbindaDepartment of Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes inhabiting the banana rhizosphere are varied and mediate essential functions that enhance plant growth and increase crop productivity. Their abundance in soil habitats is a potential indicator of soil health and quality. Despite the well-known benefits of rhizosphere microorganisms in banana cultivation, their genomic and functional diversity remains largely unexplored within smallholder agroecosystems. In this study, we characterized the community composition and functional potential of bacteria in banana rhizospheric soils from Gituamba, Mangu and Ngenda constituencies in Kiambu County, Kenya. Using Illumina Novaseq sequencing, we analyzed 16S rRNA gene amplicons and shotgun metagenomic profiles to explore these microbial communities. Variations of soil physicochemical parameters across the study sites were assessed. The parameters varied across the sites, with soils in Gituamba and Ngenda depicting better soil fertility characteristics than Mangu. Amplicon sequencing profiles revealed higher bacterial diversity in Gituamba compared to Mangu, while the single sample from Ngenda exhibited moderate diversity. The dominant phyla across the study sites were

Indexed as

bacteriabanana rhizospheremetagenomicssoil physicochemical propertiessustainable agriculture

Identifiers

PMID40520380
PMCPMC12162901

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.