Literature DB >> 10721721

Polypurine.polypyrimidine sequences in complete bacterial genomes: preference for polypurines in protein-coding regions.

S Raghavan1, R Hariharan, S K Brahmachari.   

Abstract

The genomes of Methanococcus jannaschii, Mycoplasma genitalium, Haemophilus influenzae, Archaeoglobus fulgidus, Helicobacter pylori, Treponema pallidum, Borrelia burgdorferri, Rickettsia prowazekeii, Mycobacterium tuberculosis, Methanobacterium thermoautotrophicum, Synechocystis sp. PCC6803, Bacillus subtilis, Chlamydia trachomatis, Pyrococcus horikoshii, Aquifex aeolicus, Mycoplasma pneumoniae and Escherichia coli have been analysed for the presence of polypurine.polypyrimidine tracts, in order to understand their distribution in these genomes. We observed a variation in abundance of such sequences in these bacteria, with the archaeal genomes forming a high-abundance group and the canonical eubacteria forming a low-abundance group. The genomes of M. tuberculosis and A. aeolicus are unique among the organisms analysed here in the abnormal underrepresentation and overrepresentation of polypurine.polypyrimidine, respectively. We also observe a strand bias, i.e., a preferential occurrence of polypurines in coding strands. It varies widely among the bacteria, from the very high bias in M. jannaschii to the slightly inverse bias in the parasitic genomes of T. pallidum and C. trachomatis. The extent of strand bias, however, cannot be explained on the basis of the GC-content of the genome, use of all-purine codons or an excess in the amino acids that are encoded by such codons. The probable causes and effects of this phenomenon are discussed.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10721721     DOI: 10.1016/s0378-1119(99)00505-3

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  4 in total

1.  "Word" preference in the genomic text and genome evolution: different modes of n-tuplet usage in coding and noncoding sequences.

Authors:  Christoforos Nikolaou; Yannis Almirantis
Journal:  J Mol Evol       Date:  2005-07-19       Impact factor: 2.395

2.  Comparative genomics using data mining tools.

Authors:  Tannistha Nandi; Chandrika B-Rao; Srinivasan Ramachandran
Journal:  J Biosci       Date:  2002-02       Impact factor: 1.826

3.  Current awareness on comparative and functional genomics.

Authors: 
Journal:  Yeast       Date:  2000-09-30       Impact factor: 3.239

4.  The over-representation of binary DNA tracts in seven sequenced chromosomes.

Authors:  Gad Yagil
Journal:  BMC Genomics       Date:  2004-03-03       Impact factor: 3.969

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.