July 19, 2019  |  

Precision methylome characterization of Mycobacterium tuberculosis complex (MTBC) using PacBio single-molecule real-time (SMRT) technology.

Authors: Zhu, Lingxiang and Zhong, Jun and Jia, Xinmiao and Liu, Guan and Kang, Yu and Dong, Mengxing and Zhang, Xiuli and Li, Qian and Yue, Liya and Li, Cuidan and Fu, Jing and Xiao, Jingfa and Yan, Jiangwei and Zhang, Bing and Lei, Meng and Chen, Suting and Lv, Lingna and Zhu, Baoli and Huang, Hairong and Chen, Fei

Tuberculosis (TB) remains one of the most common infectious diseases caused by Mycobacterium tuberculosis complex (MTBC). To panoramically analyze MTBC's genomic methylation, we completed the genomes of 12 MTBC strains (Mycobacterium bovis; M. bovis BCG; M. microti; M. africanum; M. tuberculosis H37Rv; H37Ra; and 6 M. tuberculosis clinical isolates) belonging to different lineages and characterized their methylomes using single-molecule real-time (SMRT) technology. We identified three (m6)A sequence motifs and their corresponding methyltransferase (MTase) genes, including the reported mamA, hsdM and a newly discovered mamB. We also experimentally verified the methylated motifs and functions of HsdM and MamB. Our analysis indicated the MTase activities varied between 12 strains due to mutations/deletions. Furthermore, through measuring 'the methylated-motif-site ratio' and 'the methylated-read ratio', we explored the methylation status of each modified site and sequence-read to obtain the 'precision methylome' of the MTBC strains, which enabled intricate analysis of MTase activity at whole-genome scale. Most unmodified sites overlapped with transcription-factor binding-regions, which might protect these sites from methylation. Overall, our findings show enormous potential for the SMRT platform to investigate the precise character of methylome, and significantly enhance our understanding of the function of DNA MTase.© The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Journal: Nucleic acids research
DOI: 10.1093/nar/gkv1498
Year: 2016

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