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Primer choice shapes microbial community interpretation across habitats and informs short-term structured enrichment in environmental and applied systems

Velaz Martín, Marta ORCID iD icon 1; Rießland, Hagen 1; Rabe, Kersten S. ORCID iD icon 1; Niemeyer, Christof M. ORCID iD icon 1
1 Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)

Abstract:

Microbial communities play central roles in ecosystem functioning across natural and engineered environments, yet their accurate characterization remains challenging due to methodological biases in amplicon sequencing. Primer choice can strongly influence taxonomic resolution, diversity estimates, and ecological interpretation. Here, we systematically compared primer performance across multiple ribosomal marker genes (16S, 18S, 28S rRNA, and ITS) and contrasting habitats, including soil, wastewater, and a photobioreactor-derived suspension. Amplicon-based profiles were benchmarked against shotgun metagenomic data. Primer choice significantly affected community composition, diversity metrics, and concordance with metagenomic profiles across all habitats and markers. Although 16S rRNA gene primers targeting the V3 region showed the highest agreement, no primer set fully reconstructed community structure. Applying the best-performing primer to a structured soil enrichment system using MESIF chips revealed rapid divergence from native soil and convergence toward less diverse communities, consistently favoring copiotrophic, surface-associated taxa while characteristic soil taxa declined. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000193697
Veröffentlicht am 01.06.2026
Originalveröffentlichung
DOI: 10.3389/fmicb.2026.1838890
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische Grenzflächen (IBG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1664-302X
KITopen-ID: 1000193697
Erschienen in Frontiers in Microbiology
Verlag Frontiers Media SA
Band 17
Vorab online veröffentlicht am 29.05.2026
Schlagwörter amplicon sequencing, environmental monitoring, metagenomics, microbial community profiling, microbial enrichment, primer bias, soil microbiome
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