Uncovering microbial dynamics in soil: a reproducible metagenomics pipeline for fertilization studies

Abstract Aim Soil microbial communities play pivotal roles in nutrient cycling, soil fertility, and sustainable crop production, yet reproducible metagenomic analyses remain elusive due to methodological inconsistencies, impeding multi-omics integration. This study develops a robust, reproducible Snakemake-based pipeline to elucidate microbial taxonomic and functional shifts in response to diverse fertilization regimes, fostering insights into ecosystem resilience and agricultural sustainability. Methods We engineered a modular Snakemake workflow for automated, scalable processing of soil metagenomes, emphasizing long-read sequencing data. Key modules encompass quality control of long reads, host contaminant removal, taxonomic classification via advanced algorithms, differential abundance analysis, and functional pathway annotation. Applied to soil samples from bio-compost and chemical fertilizer treatments, the pipeline facilitates network modeling and ecological inference, while its design supports seamless extension to transcriptomic and metabolomic layers for holistic soil–plant-microbe investigations. Results Pipeline application unveiled pronounced microbial restructuring: bio-compost amplified diversity in beneficial taxa linked to nitrogen fixation and plant growth promotion, contrasting with chemical fertilizers that favored stress-resistant specialists and altered metabolic profiles toward xenobiotic degradation. Network analyses exposed enhanced cooperative interactions under organic inputs, with functional annotations tying microbial genes to improved nutrient bioavailability and reduced soil degradation, validated across replicated datasets for statistical rigor. Conclusion This standardized pipeline, enhanced by long-read sequencing, enables reproducible soil microbiome exploration, bridging microbial ecology and agricultural applications. It lays a foundation for multi-omics integration, supporting sustainable fertilization strategies and advancing soil health understanding.

Authors

Institutions

Publication Details

Journal
Briefings in Bioinformatics
Published
2025-12-01
DOI
https://doi.org/10.1093/bib/bbaf631.017
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncovering microbial dynamics in soil: a reproducible metagenomics pipeline for fertilization studies

Oussama Souiaï, Alia Benkahla, Dorra Rjaibi
Briefings in Bioinformatics
Microbial Community Ecology and Physiology
article

Uncovering microbial dynamics in soil: a reproducible metagenomics pipeline for fertilization studies

Oussama Souiaï, Alia Benkahla, Dorra Rjaibi
article en

Abstract

Abstract Aim Soil microbial communities play pivotal roles in nutrient cycling, soil fertility, and sustainable crop production, yet reproducible metagenomic analyses remain elusive due to methodological inconsistencies, impeding multi-omics integration. This study develops a robust, reproducible Snakemake-based pipeline to elucidate microbial taxonomic and functional shifts in response to diverse fertilization regimes, fostering insights into ecosystem resilience and agricultural sustainability. Methods We engineered a modular Snakemake workflow for automated, scalable processing of soil metagenomes, emphasizing long-read sequencing data. Key modules encompass quality control of long reads, host contaminant removal, taxonomic classification via advanced algorithms, differential abundance analysis, and functional pathway annotation. Applied to soil samples from bio-compost and chemical fertilizer treatments, the pipeline facilitates network modeling and ecological inference, while its design supports seamless extension to transcriptomic and metabolomic layers for holistic soil–plant-microbe investigations. Results Pipeline application unveiled pronounced microbial restructuring: bio-compost amplified diversity in beneficial taxa linked to nitrogen fixation and plant growth promotion, contrasting with chemical fertilizers that favored stress-resistant specialists and altered metabolic profiles toward xenobiotic degradation. Network analyses exposed enhanced cooperative interactions under organic inputs, with functional annotations tying microbial genes to improved nutrient bioavailability and reduced soil degradation, validated across replicated datasets for statistical rigor. Conclusion This standardized pipeline, enhanced by long-read sequencing, enables reproducible soil microbiome exploration, bridging microbial ecology and agricultural applications. It lays a foundation for multi-omics integration, supporting sustainable fertilization strategies and advancing soil health understanding.

Briefings in BioinformaticsVol. 26(Supplement_1)
Institut Pasteur de Tunis (TN), Tunis El Manar University (TN)
Openalex Percentile: Top 61%
Microbial Community Ecology and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.