TY - JOUR T1 - Computational Elucidation of self-organization of <em>E. coli</em> chromosome underlying HI-C data JF - bioRxiv DO - 10.1101/2020.06.29.178194 SP - 2020.06.29.178194 AU - Abdul Wasim AU - Ankit Gupta AU - Jagannath Mondal Y1 - 2020/01/01 UR - http://biorxiv.org/content/early/2020/06/29/2020.06.29.178194.abstract N2 - The chromosome of archetypal bacteria E. coli is riddled with multifaceted complexity and its multiscale organization is slowly getting recognised. The emergence of chromosome conformation capture techniques and super-resolution microscopy are providing newer ways to explore chromosome organisation, chromosome dynamics and its effect on gene expression. Here we combine a beads-on-a-spring polymer model and recently reported high-resolution Hi-C data of E. coli chromosome to develop a comprehensive model of E. coli chromosome at 5 kbp resolution. The Hi-C data-integrated chromosome model elucidates a self-organised structure of E. coli chromosome into multiple macrodomains within ring-like architecture, with oriC loci located at the mid-cell position. The model also predicts that a majority of the genetic loci are linearly organised, except Ter macrodomain. The distance profiles, extracted from the model are in quantitative agreement with data from FISH and DNA-recombination assay experiments. Additionally, a genome-wide fine-grained radius of gyration map captures multiple chromosomal interaction domains (CIDs) and identifies the location of rrn operons. Finally, via a mutation-based analysis, the model quantifies the role of multiple nucleotide-associated proteins (NAPs) like HU, Fis and MatP in controlling the chromosome architecture.Competing Interest StatementThe authors have declared no competing interest. ER -