Literature DB >> 30941752

Quantitative analysis and assessment of base composition asymmetry and gene orientation bias in bacterial genomes.

Chun-Lan Quan1, Feng Gao1,2,3.   

Abstract

Base composition asymmetry and gene orientation bias are two common genomic structures in bacterial genomes. Here, correlation coefficients between nucleotide disparities and coding sequence (CDS) skew have been calculated, which provides insights into their relationship from an individual genome perspective. Consequently, we find GC and RY disparities correlate significantly with CDS skew, since around 60% of the bacterial genomes under study have correlation coefficients > 0.9. Then, we present a model for quantitative assessment of nucleotide disparity and CDS skew in which a numerical index R2 is used for evaluation. We find that skew curves with higher R2 perform better on the prediction of replication origins in bacteria.
© 2019 Federation of European Biochemical Societies.

Keywords:  base composition asymmetry; correlation coefficient; gene orientation bias; the Z-curve method

Year:  2019        PMID: 30941752     DOI: 10.1002/1873-3468.13374

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  2 in total

1.  Comprehensive Analysis of Replication Origins in Saccharomyces cerevisiae Genomes.

Authors:  Dan Wang; Feng Gao
Journal:  Front Microbiol       Date:  2019-09-13       Impact factor: 5.640

2.  SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids.

Authors:  Bert Hubert
Journal:  Sci Data       Date:  2022-03-22       Impact factor: 6.444

  2 in total

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