Evidence map›Paper›PMID 42602225›Full record

ArticleFrontiers in microbiology2026

Leveraging soil microbiome diversity for the management of highly virulent

Ilham Laadsi, Mostafa Abdelrahman, Mauricio Ulloa, Mohamed Fokar, Timothy O Jobe

Abstract read
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Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ilham Laadsi *Center for Biotechnology and Genomics, Texas Tech University, Lubbock, TX, United States.
Mostafa Abdelrahman *Institute for One Health and Innovation, Texas Tech University, Lubbock, TX, United States.
Mauricio UlloaCropping Systems Research Lab, Plant Stress and Germplasm Development Research, United States Department of Agriculture-Agricultural Research Service, Plains Area, Lubbock, TX, United States.
Mohamed FokarCenter for Biotechnology and Genomics, Texas Tech University, Lubbock, TX, United States.
Timothy O JobeCenter for Biotechnology and Genomics, Texas Tech University, Lubbock, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cotton ( Methods: To understand the relationships among soil properties, fungal communities, and disease incidence, we examined the elemental composition and fungal microbiome of five cotton fields in the lower valley of El Paso, Texas region, having varying levels of Fusarium wilt incidence. Comparisons between high Fusarium wilt incidence fields (F1, F2, and F5) and low Fusarium wilt incidence fields (F3 and F4) were performed. Metabarcoding analyses identified marked differences in fungal community composition and diversity between the fields. Results: Alpha diversity metrics indicated higher fungal diversity and evenness in the low Fusarium wilt incidence field F4, suggesting that high fungal diversity contributes to decreased disease incidence. In contrast, high Fusarium wilt incidence fields (F1, F2, and F5) exhibited lower diversity, indicative of a less resilient fungal ecosystem. Beta diversity analyses further confirmed the distinct fungal community composition between soils with contrasting Fusarium wilt incidence. Taxonomic profiling showed that the low Fusarium wilt incidence field F4 harbored beneficial fungal taxa, including Discussion: These findings underscore the crucial role of fungal diversity and soil chemical composition in influencing the incidence of Fusarium wilt in cotton. Soils with low Fusarium wilt incidence, characterized by diverse and complex fungal communities, may suppress the establishment and proliferation of pathogens. Our results provide insights for developing targeted soil management practices and enhancing cotton resilience, essential for developing sustainable disease management strategies and breeding resistant cultivars.

Indexed as

cottonfungal biomeFusarium oxysporum f. sp. vasinfectumFusarium wiltsoil microbiome

Identifiers

PMID42602225
PMCPMC13473403

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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.