bioRxivMicrobiologyPreprint
Dynamics and interplay of gene expression and chromosome organization across a predatory lifecycle
Renske van RaaphorstiD, Fares Osam Yáñez-CunaiD, Corina Pascal, Ngat T. TraniD, Jovana KaljevićiD, Swapnesh PanigrahiiD, Tung B. K. LeiD, Romain KoszuliD, Géraldine LalouxiD
Abstract
The obligate predatory bacterium Bdellovibrio bacteriovorus alternates between a motile attack phase and a growth phase inside another bacterium, during which it undergoes multiple rounds of DNA replication followed by non-binary division and progeny release. How its chromosome is dynamically reorganized across these contrasting states remains unclear. Here, we used synchronized predatory infections combined with time-resolved RNA-seq, Hi-C, ChIP-seq, and quantitative microscopy to map transcriptional activity and chromosome architecture across seven key stages of the predatory lifecycle. We uncover a dramatic shift in nucleoid organization - from an ultra-compact, transcriptionally restricted state in attack-phase cells to a progressively decompacted, ori-centered conformation during intracellular replication. Notably, distinct transcriptional and chromosome folding states not only mark the canonical attack and growth phases, but also critical transitions such as prey invasion, replication onset, and predator division. Temporal gene expression profiles reflect the coordinated regulation of core cellular functions across the predatory cycle. Furthermore, spatial localization of RNA polymerase, ribosomes, DNA-binding proteins, and freely diffusing proteins highlight the tight, cell cycle-dependent coupling between nucleoid compaction, chromosome accessibility, and transcriptional activity. Altogether, our findings reveal the intricate dynamics and coordination of genome folding and gene expression in a complex bacterial cell cycle driven by prey-predator interactions.
- organism: bacteria (other)
- assay: bulk RNA-seq
- assay: Hi-C
- assay: ChIP-seq
- assay: imaging
- research focus: chromatin & epigenetic regulation
- research focus: transcription & RNA processing
- approach: deep learning
- approach: statistical model
- Citations
- 0
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