Literature DB >> 33096254

Codon usage signatures in the genus Cryptococcus: A complex interplay of gene expression, translational selection and compositional bias.

Shelly Gupta1, Karan Paul2, Ayan Roy3.   

Abstract

The fungal genus Cryptococcus comprises of several diverse species. The pathogens forming Cryptococcus neoformans/ Cryptococcus gatti species complex are of immense clinical significance owing to the high frequency of infections and deaths globally. Three closely related non-pathogenic species namely, Cryptococcus amylolentus, Cryptococcus wingfieldii and Cryptococcus depauperatus are the non-pathogenic ancestral species from which pathogenic lineages have diverged. In the current study, a comprehensive analysis of factors influencing the codon and amino acid usage bias in six pathogenic and three non-pathogenic species was performed. Our results revealed that though compositional bias played a crucial role, translational selection and gene expression were the key determinants of codon usage variations. Analysis of relative dinucleotide abundance and codon context signatures revealed strict avoidance of TpA dinucleotide across genomes. Multivariate statistical analysis based on codon usage data resulted in discrete clustering of pathogens and non-pathogens which correlated with previous reports on their phylogenetic distribution.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amino acid usage; Codon context variation; Codon usage; Cryptococcus; Relative dinucleotide abundance

Mesh:

Year:  2020        PMID: 33096254     DOI: 10.1016/j.ygeno.2020.10.013

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  2 in total

1.  Codon Usage Bias in Autophagy-Related Gene 13 in Eukaryotes: Uncovering the Genetic Divergence by the Interplay Between Nucleotides and Codon Usages.

Authors:  Yicong Li; Rui Wang; Huihui Wang; Feiyang Pu; Xili Feng; Li Jin; Zhongren Ma; Xiao-Xia Ma
Journal:  Front Cell Infect Microbiol       Date:  2021-11-05       Impact factor: 5.293

2.  Ionizing radiation and chemical oxidant exposure impacts on Cryptococcus neoformans transfer RNAs.

Authors:  Melissa Kelley; Mellie June Paulines; George Yoshida; Ryan Myers; Manasses Jora; Joel P Levoy; Balasubrahmanyam Addepalli; Joshua B Benoit; Patrick A Limbach
Journal:  PLoS One       Date:  2022-03-29       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.