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Updated: May 12, 2026

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria
Published on: February 23, 2021
A platform for CRISPRi-seq in Streptomyces albidoflavus
Justin E Clarke1, Tabitha R Faulkner1, Ryan F Seipke1
1Astbury Centre for Structural Molecular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.
None:
Streptomyces produce a multitude of secondary metabolites, which have been exploited in drug discovery campaigns for more than three-quarters of a century. Our understanding of microbial physiology has been revolutionized by genome sequencing and large-scale functional studies. Technology for genome-wide investigations in Streptomyces species, however, has lagged behind that for other bacterial systems, hindering exploitation of unprecedented quantities of genomic data. Here, we develop a platform for en masse clustered regularly interspaced short palindromic repeats interference sequencing (CRISPRi-seq) for Streptomyces spp. By performing CRISPRi-seq with 2,160 unique sgRNAs targeting all operons (432 operons) encoding membrane transporters (629 genes) representing 1.1Mb of the 6.8Mb genome for S. albidoflavus, combined with hit validation, we discovered that only a small proportion (13 of 432 operons, 25 kb) contribute positively to fitness. Our work provides both a first-in-class platform for high-throughput functional genomics and a generalized blueprint for en masse screens in Streptomyces species.
Importance:
Streptomyces bacteria are prolific producers of clinically essential natural products, yet high-throughput tools to systematically interrogate their genomes remain underdeveloped. By establishing a robust CRISPRi-seq platform for en masse functional screening in Streptomyces albidoflavus, our work closes a critical technological gap in Streptomyces functional genomics. Our study not only identifies a small subset of transporter operons essential for fitness but also introduces a scalable, generalizable approach for dissecting gene function. This platform will accelerate systems-level understanding of an industrially and medically important genus.

