Evidence map›Paper›PMID 42296170›Full record

ArticlePloS one2026

16S rRNA-based metagenomics insights into the microbial diversity and functional attributes of soils from the rhizosphere of selected C4 crops of farms in Mpumalanga and Limpopo provinces, South Africa.

Mamonokane Olga Diale-Makhongela, Tiisetso Mpai, Francina Lebogang Bopape, Prudence Mtsweni, Adeola Salawu-Rotimi, Nemera Geleta Shargie, Abe Shegro Gerrano, Liesl Morey, Bongani Kubheka, Ahmed Idris Hassen

Abstract read
In one paragraph

Article in PloS one, 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

10 authors.

Mamonokane Olga Diale-MakhongelaAgricultural Research Council, Plant Health and Protection (ARC-PHP), Queenwood, Pretoria, South Africa.
Tiisetso MpaiAgricultural Research Council, Plant Health and Protection (ARC-PHP), Queenwood, Pretoria, South Africa.
Francina Lebogang BopapeAgricultural Research Council, Plant Health and Protection (ARC-PHP), Queenwood, Pretoria, South Africa.
Prudence MtsweniAgricultural Research Council, Plant Health and Protection (ARC-PHP), Queenwood, Pretoria, South Africa.
Adeola Salawu-RotimiInqaba Biotechnological Industries, Muckleneuk, Pretoria, South Africa.
Nemera Geleta ShargieAgricultural Research Council - Grain Crops, Potchefstroom, South Africa.
Abe Shegro GerranoAgricultural Research Council - Vegetables, Industrial and Medicinal Plants, Pretoria, South Africa.ORCID https://orcid.org/0000-0001-7472-8246
Liesl MoreyAgricultural Research Council, Biometry Unit, Central Office, Hatfield, Pretoria, South Africa.
Bongani KubhekaAgricultural Research Council, Plant Health and Protection (ARC-PHP), Queenwood, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-7219-4604
Ahmed Idris HassenAgricultural Research Council, Plant Health and Protection (ARC-PHP), Queenwood, Pretoria, South Africa.ORCID https://orcid.org/0000-0001-6925-9166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rhizosphere serves as a hub for a variety of microorganisms that are highly beneficial to crop production and improvement of soil health. However, intensive farming practices including utilization of agrochemicals can cause a decline in microbial diversity that could severely compromise soil health and crop productivity. Here we investigated the taxonomic abundance and functional diversity of the microbial communities of sorghum and pearl millet rhizosphere soil samples from sixteen farms in Mpumalanga and Limpopo Provinces of South Africa. Soil samples were collected at the rhizosphere of sorghum and pearl millet crops and pooled into 34 samples. The soil samples were used for 16S rRNA amplicon sequencing analysis, soil physicochemical properties, and community-level physiological profiles. The results indicated that carbon utilization was highest in the majority of soil samples from Jane Furse, which also demonstrated greater microbial richness. The 16S rRNA amplicon sequencing analysis provides insight into the relative abundance of soil microbial communities, where at phylum level Planctomycetes, Proteobacteria, and Actinobacteria were the most predominant in all farms, but their relative abundances varied. Our results revealed that physicochemical properties could affect microbial abundance and diversity. The distance-based redundancy analysis (dbRDA) explained 46.8% of the variation in the soil bacterial community structure, with Mn, Fe, NO₃⁻-N, and Ca identified as the key soil physicochemical variables shaping community composition. Thus, this study may contribute to advancing sustainable agricultural practices by providing baseline data that may inform future bioinoculant development.

Indexed as

Crops, AgriculturalMetagenomicsRhizosphereRNA, Ribosomal, 16SSoil MicrobiologyBacteriaBiodiversityCarbonFarmsPennisetumPhylogenySoilSorghumSouth AfricaCarbonRNA, Ribosomal, 16SSoil

Identifiers

PMID42296170
PMCPMC13268165

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LicenceCC BY
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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.