Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.04.11.648403

Global analysis of the cold-shock response in the model antibiotic producing actinomycete, Streptomyces coelicolor A3(2)

Abstract

Cold-shock adaptation is essential for the survival of soil-dwelling sessile streptomycetes exposed to fluctuating environmental temperatures, yet the precise regulatory mechanisms underlying this response remain poorly understood. Here, we investigated the global transcriptional and translational responses of the model actinomycete, Streptomyces coelicolor A3(2), to cold-shock using integrated RNA-seq and polysome profiling. Cold-shock treatment in minimal liquid medium triggered significant transcriptional changes in 811 genes. Notably, three operons, encoding a CspA homologue, a DEAD-box helicase, and a cystathionine-{beta}-synthase (CBS) domain-containing protein and/or a protein of unknown function (SCO5921-SCO5918, SCO4684-SCO4686, and SCO3731-SCO3733) were identified as central players of the cold-shock response, exhibiting up to 2,000-fold transcriptional induction. Systems-level transcriptomic analysis further revealed the cold-shock induced activation of pathways associated with gluconeogenesis, coenzyme A metabolism, phenylacetate degradation, lipid raft remodelling, and extracellular functions, pointing to extensive metabolic reprogramming coordinated with membrane adaptation during cold acclimation. Polysome profiling unveiled strong translational potentiation of operonic genes downstream from the promoter proximal cspA homologue genes, a process potentially mediated by RNA secondary structures that overlap ribosome binding sites (RBSs). The pronounced induction of DEAD-box RNA helicases and CspA RNA chaperones is presumed to reflect their critical requirement for resolving excessive nucleic acid secondary structures inherent to the high G+C content genome of Streptomyces (>73% G+C), including the RBS-masking stem-loops within their own operons. Together, this study provides a comprehensive, system-level understanding of cold-shock adaptation in Streptomyces, highlighting a multi-layered regulatory architecture that couples metabolic reprogramming with RNA structure-dependent translational control to mitigate thermal stress. IMPORTANCEThis study characterizes the cold-shock response of the model actinomycete, S. coelicolor A3(2), for the first time at both the transcriptome and translatome levels. Combined with a machine-learning based iModulon framework, our findings provide critical insights on both metabolic adaptation and multi-layered regulatory mechanisms, including transcriptional networks and RNA structure-dependent translational control. Beyond advancing our fundamental understanding of cold acclimation in Streptomyces, we identified several putative cis-acting regulatory elements within the intergenic regions between the primary cold-shock genes (SCO4684 and SCO5921) and their downstream DEAD-box helicase-encoding genes. These regulatory elements, coupled with the exceptionally robust transcriptional and translational induction of the core cold-shock operons, significantly expands the synthetic biology toolkit for Streptomyces. Ultimately, these molecular components hold substantial potential for exploitation in optimizing and manipulating cryptic antibiotic biosynthetic gene clusters within this bacterial genus of considerable industrial importance.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Evans, R. T., Bucca, G., Hesketh, A., Smith, C. P.. 2025-04-15. Global analysis of the cold-shock response in the model antibiotic producing actinomycete, Streptomyces coelicolor A3(2). https://doi.org/10.1101/2025.04.11.648403

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Longitudinal miRNA-mRNA Profiling Reveals Network Reorganization in Preeclampsia

Background: Preeclampsia (PE) is a leading cause of maternal and perinatal morbidity. Temporal dynamics of molecular dysregulation across pregnancy remain poorly understood. We performed longitudinal RNA sequencing of maternal whole blood to characterize miRNA-mRNA regulatory network evolution in PE. Methods: Whole-blood samples from early (M1: 10-18 weeks) and late pregnancy (M2: 32-38 weeks) were analyzed from 43 PE cases and 106 normotensive controls, including 109 paired samples (36 PE cases, 73 controls). Differential expression, temporal classification, pathway enrichment, and miRNA-mRNA network integration were performed. Placental expression support was assessed using internal RNA-seq and public databases. Key miRNA-mRNA interactions were experimentally validated in HTR-8/SVneo trophoblast cells. Results: PE exhibited marked temporal reorganization of miRNA-mRNA networks, with strongly opposing temporal effect sizes across overlapping miRNA and mRNA features (Spearman {rho} = -0.82, P < 0.0001). PI3K/AKT/mTORC1 signaling showed biphasic reversal (NES = +1.46, FDR = 0.028 at M1; NES = -1.64, FDR = 0.025 at M2), and heme-metabolism programs showed progressive suppression (2.1-fold NES intensification; FDR < 0.05 at both timepoints). Network analysis identified 29 high-confidence biphasic miRNA-mRNA pairs, including convergent targeting of ADGRA2 by three miRNAs and HSD17B1 by three miRNAs. miR-101-3p overexpression reduced DEPP1 mRNA (~40%) and protein (~26%) in trophoblast cells (P < 0.01), supporting a FOXO-DEPP1 axis. Blood-derived pairs showed pathway convergence with placental VGLL3-centered programs (PI3K/AKT, FOXO, TGF-{beta}, trophoblast differentiation). Conclusions: PE is associated with predominantly stage-specific or biphasic miRNA-mRNA network reorganization, with PI3K/AKT/mTORC1 dynamic remodeling and progressive heme-metabolism suppression. These findings support gestational-age-specific biomarker development and identify regulatory axes, including miR-101-3p [->] DEPP1, for mechanistic investigation.

genomics↗

MicroDUET: a dual-headed genomic foundation model for pathogen surveillance

Pathogen genomic surveillance works from raw reads, assembled genomes and alignments, representations that are slow and costly to compare at scale. Compact embeddings from genomic language models offer an alternative, but surveillance requires resolving both evolutionary ancestry (phylogeny) and phenotypic capability (function) - which need not co-vary. Here we present MicroDUET, which adapts a 26.6-million-parameter ProkBERT backbone with two 3.5-million-parameter adapter heads: a phylogeny head trained contrastively on genome windows from the same microbes, and a function head trained to identify genes across taxa. On held-out retrieval benchmarks, the phylogeny head returned the correct species for 80.3% and 66.6% of cellular and viral queries, and the function head the correct gene family for 97.3% and 97.2%, reaching 74.4% accuracy on an independent antimicrobial resistance-class benchmark. Across all three benchmarks MicroDUET outranked 17 other genomic encoders. Without training on lineage, clade or drug-susceptibility tasks, MicroDUET identified Mycobacterium tuberculosis and mpox virus lineages and clades (0.965, 0.975 accuracy), discriminated rifampicin resistance without lineage adjustment (AUROC 0.985), and retrospectively identified an emerging mpox lineage as anomalous (AUROC 0.974). MicroDUET operates 10^3 - 10^4 times faster than single-threaded sequence-based alignments. MicroDUET therefore provides a compact, reusable representation for scalable pathogen surveillance and sequence triage.

genomics↗

A chromosome-level genome assembly of northern dragonhead, Dracocephalum ruyschiana L., 1753

We present a chromosome-level genome assembly for the vascular plant northern dragonhead, Dracocephalum ruyschiana. The assembly comprises two pseudo-haplotypes, hap1 and hap2, of 661 Mb and 681 Mb, with 93.6% and 92.5%, respectively, scaffolded into seven chromosomes each - in line with the known karyotype. Assembly quality was high, with conserved single-copy ortholog completeness scores of 97.9% and 97.8%, combined k-mer completeness of 98.1%, and 38,141 and 38,617 annotated protein-coding genes for hap1 and hap2, respectively. This assembly provides a high-quality genomic resource for future research and conservation of northern dragonhead, as well as the endangered northern dragonhead sap beetle, which depends on the plant for reproduction and whose genome assembly is described in a complementary genome note.

genomics↗