ArticleFrontiers in microbiology2025
Comparative evaluation of sequencing platforms: Pacific Biosciences, Oxford Nanopore Technologies, and Illumina for 16S rRNA-based soil microbiome profiling.
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 11 papers.
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11 citing papers in PubMed.
- Active Human Transposable Elements: Long-Read Sequencing Technologies, Computational Analysis, and Implications for Human Disease.Biomolecules · 2026Review
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- eDNA analysis of yard waste samples reveals taxonomical diversity, sequence database limitations, and consistencies across sequencing platforms.Journal of insect science (Online) · 2026Article
- Choosing Between Short-Read 16S, Full-Length ONT 16S, and Long-Read Shotgun Metagenomics for Soil Microbiome Studies: A Critical Review of the Benchmarking Evidence.Microorganisms · 2026Review
- 16S-Pipeline: A comprehensive web-based platform for end-to-end 16S rRNA amplicon sequencing analysis.Journal of microbiology (Seoul, Korea) · 2026Article
- Taxonomic diversity and functional adaptations indicated by the rhizospheric soil microbiome derived from Turkish wheat fields.Biology open · 2025Article
- Comparison of Different Methods of Molecular Detection ofCurrent issues in molecular biology · 2025Article
- Comparative Meta-Analysis of Long-Read and Short-Read Sequencing for Metagenomic Profiling of the Lower Respiratory Tract Infections.Microorganisms · 2025Review
- Unveiling the Future of Infective Endocarditis Diagnosis: The Transformative Role of Metagenomic Next-Generation Sequencing in Culture-Negative Cases.Journal of epidemiology and global health · 2025Review
- Application and Limitations of 16S rRNA Gene Sequencing for Identifying WHO Priority Pathogenic Gram-Negative Bacilli.Infection and drug resistance · 2025Review
- Impact of DNA extraction techniques and sequencing approaches on microbial community profiling accuracy.Frontiers in microbiomes · 2025Article
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19 authors.
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Abstract
Soil microbiome profiling is crucial for understanding microbial diversity and its roles in ecosystem functioning and agricultural productivity. Recent advancements in high-throughput sequencing, particularly Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT), offer long-read sequencing capabilities that enhance microbial community analysis. In this study, we performed a comparative evaluation of 16S rRNA gene sequencing using Illumina (V4 and V3-V4 regions), PacBio (full-length and trimmed V3-V4/V4 regions), and ONT (full-length) to assess bacterial diversity in soil microbiomes. We analyzed three distinct soil types and applied standardized bioinformatics pipelines tailored to each platform. To ensure comparability, sequencing depth was normalized across platforms (10,000, 20,000, 25,000, and 35,000 reads per sample). Our results demonstrated that ONT and PacBio provided comparable bacterial diversity assessments, with PacBio showing slightly higher efficiency in detecting low-abundance taxa. Despite differences in sequencing accuracy, ONT produced results that closely matched those of PacBio, suggesting that ONT's inherent sequencing errors do not significantly affect the interpretation of well-represented taxa. Our study demonstrated that, regardless of the sequencing technology used and the choice of the target region (full-length 16S rRNA gene or its regions), microbial community analysis ensures clear clustering of samples based on soil type. The only exception is the V4 region, where no soil-type clustering is observed (
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