Evidence map›Paper›PMID 41053880›Full record

ArticleEnvironmental microbiome2025

Deciphering the influence of fertilization systems on the Allium ampeloprasum rhizosphere microbial diversity and community structure through a shotgun metagenomics profiling approach.

Oluwaseun Emmanuel Shittu, Ben Jesuorsemwen Enagbonma, Olubukola Oluranti Babalola

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Article in Environmental microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Oluwaseun Emmanuel ShittuFood Security and Safety Focus Area, Faculty of Natural and Agricultural Sciences, North-West University, Private Mail Bag X2046, Mmabatho, 2735, South Africa.ORCID http://orcid.org/0009-0003-6388-5387
Ben Jesuorsemwen EnagbonmaFood Security and Safety Focus Area, Faculty of Natural and Agricultural Sciences, North-West University, Private Mail Bag X2046, Mmabatho, 2735, South Africa.ORCID http://orcid.org/0000-0002-4699-5061
Olubukola Oluranti BabalolaFood Security and Safety Focus Area, Faculty of Natural and Agricultural Sciences, North-West University, Private Mail Bag X2046, Mmabatho, 2735, South Africa. olubukola.babalola@nwu.ac.za.ORCID http://orcid.org/0000-0003-4344-1909

Funding

ICGEB, Italy CRP/ZAF22-03)South African National Research Foundation NRF
6 · The paper itself

Abstract

backgroundChemical fertilizer application in agriculture over the years has been a vital instrument to boost agricultural yields and soil fertility, but has threatened the diversity of the rhizosphere microbiomes in the soil. However, knowledge about the impacts of biofertilizers (BF) as well as chemical fertilizers (CF) on Allium ampeloprasum rhizosphere's microbiomes is still limited. Hence, this study investigated the metagenomic profiling of A. ampeloprasum rhizosphere under different fertilization systems and in bulk soils, to obtain a depiction of their associated microbial diversity and community structure, which will inform best agricultural practices.

methodThe entire DNA sample was mined from soil samples taken from an independent uncultivated bulk soil and the rhizosphere of A. ampeloprasum treated with chemical and biofertilizer and subjected to shotgun metagenomics sequencing.

resultsThe taxonomic analysis of our metagenome unveiled that while all soil samples exhibited similar core microbial phyla, Bacteroidota and Verrucomicrobiota were exclusive to the biofertilizer (G2) plot. Actinobacteria and Pseudomonadota (Proteobacteria) were predominant in the biofertilizer plot (G2), chemical fertilizer (G1), and bulk soil (G3) plots, respectively. Genera such as Dyadobacter, Verrucomicrobium, Streptomyces, and Haliangium were exclusively detected in the biofertilizer plot (G2). Alpha diversity analysis showed that G2 harboured the most diverse microbial community, followed by G3, with the lowest diversity found in the G1 plot, highlighting the importance of biofertilizer in increasing microbial diversity. The observed differences in the microbial diversity and community structure are highly linked to the nature of fertilizer applied and the distinct physicochemical parameters of the three plots. However, redundancy analysis subsequently highlighted total nitrogen and carbon as the key environmental influencers impacting the microbial community structure and composition.

conclusionThis study underscores the potential of biofertilizers in boosting the rhizosphere microbial diversity, improving soil health, and offer a sustainable alternative to chemical fertilizers, thereby supporting long-term agricultural sustainability and resilience in food production systems.

Indexed as

FertilizersFood securityLeekRhizosphere microbiomeShotgun sequencingSynthetic fertilizer

Identifiers

PMID41053880
PMCPMC12502447

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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.