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To uncover genes involved in the latter process beyond the previously identified key orchestrators encoded by recN and recA, we developed a novel machine learning-assisted high-throughput screening workflow and applied it to nearly 4000 E. coli strains, including the Keio collection\u2019s single-gene deletion strains and additional in-house strains. Conservative validation identified 15 hit strains with impaired DNA supercompaction. While defects in recombinational repair genes were associated with the most severe impairments, our investigation also revealed genes not previously associated with DNA compaction or repair that had milder and more heterogeneous effects on supercompaction, including yaiW, which encodes a membrane-associated protein. Notably, several non-DNA-repair gene deletions affected RecN colocalization with the nucleoid, recN expression, SOS response activity, or survival after CIP exposure, supporting indirect or modulatory roles. Altogether, this work confirms RecN and RecA as primary drivers of DNA supercompaction and demonstrates that high-content imaging combined with machine learning-assisted analysis provides a scalable approach to explore bacterial DNA organization phenotypes and DNA damage responses.<\/jats:p>","DOI":"10.1093\/nar\/gkag573","type":"journal-article","created":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T11:43:50Z","timestamp":1779882230000},"source":"Crossref","is-referenced-by-count":0,"title":["Exploring the genetic landscape of ciprofloxacin-induced DNA supercompaction in\n                    <i>Escherichia coli<\/i>"],"prefix":"10.1093","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7475-4636","authenticated-orcid":false,"given":"Krister","family":"Vikedal","sequence":"first","affiliation":[{"name":"Department of Microbiology, Oslo University Hospital, Rikshospitalet , 0373 Oslo ,","place":["Norway"]},{"name":"Department of Microbiology, University of Oslo , 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