Microbial Bioactives

Microbial Bioactives | Online ISSN 2209-2161
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Microbial Bioactives 5 (2) 1-8 https://doi.org/10.25163/microbbioacts.5210708

Submitted: 20 January 2022 Revised: 12 March 2022  Accepted: 21 March 2022  Published: 23 March 2022 


Abstract

Metagenomic next-generation sequencing (mNGS) has increasingly positioned itself as one of the more promising approaches for broad-spectrum infectious disease diagnostics. Yet the field continues to encounter a surprisingly persistent obstacle: the overwhelming dominance of host-derived nucleic acids within clinical samples. In many specimen types, particularly blood, cerebrospinal fluid, and respiratory aspirates, human DNA can comprise more than 99% of total extracted genetic material, leaving diagnostically relevant microbial reads buried within an immense genomic background. This review explores how the challenge of host DNA depletion intersects with concepts long recognized in environmental microbiology, microbial ecology, and natural-product discovery. Drawing from studies involving Streptomyces bioprospecting, marine microbial symbioses, biosynthetic gene cluster mining, and computational dereplication, the review examines how selective enrichment, sequence-guided discovery, and bioinformatic filtering collectively shape modern metagenomic workflows. Emerging depletion strategies—including differential lysis, enzymatic digestion, density-based separation, and computational host-read removal—are discussed alongside their limitations, particularly regarding viral nucleic acid preservation and interpretative ambiguity. The review further argues that host-associated material may not simply represent analytical contamination but instead reflects biologically dynamic ecological systems that influence microbial adaptation and pathogenicity. Overall, the findings suggest that the future of clinical metagenomics may depend less on sequencing depth alone and more on integrated ecological, computational, and molecular strategies capable of selectively recovering meaningful microbial signals from overwhelmingly complex genomic environments.

Keywords: Clinical metagenomics; Host DNA depletion; Metagenomic next-generation sequencing; Streptomyces; Biosynthetic gene clusters; Bioinformatic dereplication; Microbial dark matter

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