Ognjen Sekulovic, Eric E. Schadt, Supinda Bunyavanich, Elizabeth Webster, Martha Lewis-Sandari, Theodore R. Pak, Harm van Bakel, Frances Wallach, Robert Sebra, Gopi Patel, Aneel K. Aggarwal, Andrew Kasarskis, Rita Tamayo, Gang Fang, Shirish Huprikar, Deena R. Altman, Alex Kim, John W. Ribis, Nathalie E. Zeitouni, Colleen Beckford, Elizabeth M. Garrett, Camille Hamula, Shijia Zhu, Pedro H. Oliveira, Ali Bashir, Edward A. Mead, Marie Touchon, Gintaras Deikus, Irina Oussenko, Dominika Trzilova, Aimee Shen, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Tufts University School of Medicine [Boston], University of North Carolina at Chapel Hill School of Medicine, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Génomique évolutive des Microbes / Microbial Evolutionary Genomics, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), SEMA4, The research was primarily funded by R01 GM114472 (to G.F.) from the National Institutes of Health and Icahn Institute for Genomics and Multiscale Biology. The research was also funded by NIH grants R01 AI119145 (to H.v.B and A.B.), R01 AI22232 (to A.S.), R01 AI107029 (to R.T.) and R35 GM131780 (to A.K.A), a Hirschl Research Scholar award from the Irma T. Hirschl/Monique Weill-Caulier Trust (to G.F.), a Pew Scholar in the Biomedical Sciences grant from the Pew Charitable (to A.S.). G.F. is a Nash Family Research Scholar. A.S. holds an Investigators in the Pathogenesis of Infectious Disease Award from the Burroughs Wellcome Fund. J.W.R was supported by an NIH training grant 5T32GM007310-42. The participation of R. J. Roberts in this project was funded by New England Biolabs. This research was also supported in part through the computational resources and staff expertise provided by the Department of Scientific Computing at the Icahn School of Medicine at Mount Sinai., and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)
Clostridioides (formerly Clostridium) difficile is a leading cause of healthcare-associated infections. Although considerable progress has been made in the understanding of its genome, the epigenome of C. difficile and its functional impact has not been systematically explored. Here, we perform a comprehensive DNA methylome analysis of C. difficile using 36 human isolates and observe a high level of epigenomic diversity. We discovered an orphan DNA methyltransferase with a well-defined specificity, the corresponding gene of which is highly conserved across our dataset and in all of the approximately 300 global C. difficile genomes examined. Inactivation of the methyltransferase gene negatively impacts sporulation, a key step in C. difficile disease transmission, and these results are consistently supported by multiomics data, genetic experiments and a mouse colonization model. Further experimental and transcriptomic analyses suggest that epigenetic regulation is associated with cell length, biofilm formation and host colonization. These findings provide a unique epigenetic dimension to characterize medically relevant biological processes in this important pathogen. This study also provides a set of methods for comparative epigenomics and integrative analysis, which we expect to be broadly applicable to bacterial epigenomic studies. In this work, Fang et al. analyse the epigenetic landscape of Clostridioides difficile and identify a DNA methyltransferase present across C. difficile strains that is required for optimal sporulation and in vivo colonization and disease.