Literature DB >> 32512206

Mycobacterium lepromatosis genome exhibits unusually high CpG dinucleotide content and selection is key force in shaping codon usage.

Ashok Munjal1, Rekha Khandia2, Kishor K Shende3, Jayashankar Das4.   

Abstract

Mycobacterium lepromatosis was identified as a causative agent for leprosy in the year 2008 in the United States and later more cases were identified in Canada, Singapore, Brazil, and Myanmar. It is known to cause diffuse lepromatosis leprosy among humans. Since it is invasive, the mortality rates are higher in comparison to the M. leprae. At genomic level, there exists 90.9% similarity between M. lepromatosis and M. leprae. Codon usage analysis based on analyses of 228 coding sequences (CDSs) of M. lepromatosis, revealed that the genome is GC rich. Among the total 16 dinucleotides, CpG dinucleotide possesses the highest dinucleotide frequency in M. lepromatosis, that is strikingly an unobvious observation since higher CpG is associated with higher proinflammatory cytokine production and NF-κB activation that eventually leads to high pathogenicity. To evade immune response, CpG content is generally less in pathogens. The unusually high CpG content can be explained by the fact that the nucleotide composition of M. lepromatosis is CG rich. Various forces interplay to shape codon usage pattern of any organism including selection; mutation, nucleotide composition as well as GC biased gene conversion. To understand the interplay between various forces; neutrality, parity, Nc-GC3 (Effective number of codons-GC content at 3rd position of the codon), aromaticity (AROMO) and the general average hydropathicity score (GRAVY) analyses have been carried out. The analyses revealed that selection force is the major contributory force. Along with the selection; mutation, nucleotide composition as well as GC biased gene conversion also play role in shaping codon usage bias in M. lepromatosis. This is the first report on the codon usage in M. lepromatosis.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CAI; Codon usage; Compositional constrains; GC biased gene conversion; Mycobacterium lepromatosis; RSCU

Year:  2020        PMID: 32512206     DOI: 10.1016/j.meegid.2020.104399

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  2 in total

1.  Strong Selectional Forces Fine-Tune CpG Content in Genes Involved in Neurological Disorders as Revealed by Codon Usage Patterns.

Authors:  Rekha Khandia; Anushri Sharma; Taha Alqahtani; Ali M Alqahtani; Yahya I Asiri; Saud Alqahtani; Ahmed M Alharbi; Mohammad Amjad Kamal
Journal:  Front Neurosci       Date:  2022-06-10       Impact factor: 5.152

2.  Codon Usage is Influenced by Compositional Constraints in Genes Associated with Dementia.

Authors:  Taha Alqahtani; Rekha Khandia; Nidhi Puranik; Ali M Alqahtani; Kumarappan Chidambaram; Mohammad Amjad Kamal
Journal:  Front Genet       Date:  2022-08-09       Impact factor: 4.772

  2 in total

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