Literature DB >> 15130833

Comparison of responses by bacteriophages and bacteria to pressures on the base composition of open reading frames.

James R Mortimer1, Donald R Forsdyke.   

Abstract

Differences in the base composition of genomes can occur because of GC pressure, purine-loading pressure (AG pressure) and RNY pressure, for which there are possible functional explanations, and because of the more abstract pressures exerted by individual bases. The graphical approach of Muto and Osawa was used to analyse how bacteriophages and bacteria balance potentially conflicting pressures on their genomes. Phages generally respond to AG pressure by increasing A while keeping T constant, and by decreasing C while keeping G constant. In contrast, bacteria generally increase both A and T, the former more so, and decrease both G and C, the latter more so. These differences largely occur at third codon positions, which are more responsive than first and second codon positions to AG pressure and GC pressure. Phages respond to AG pressure more in the third codon position than bacteria, whereas bacteria respond more in the first codon position than phages. Conversely, bacteria respond to GC pressure more in the third codon position than phages, whereas phages respond more in the first codon position than bacteria. As GC pressure increases, A is traded for C and AG pressure decreases; first and second codon positions, having more A than T, are most responsive to this negative effect of increased GC pressure; third positions either do not respond (phages) or respond weakly (bacteria). In a set of 48 phage-host pairs, degrees of purine loading were less correlated between phage and host than were GC percentages. These results suggest that pressures on conventional and genome phenotypes operate differentially in phages and bacteria, generating both general differences in base composition and specific differences characteristic of particular phage-host pairs. The reciprocal relationship between GC pressure and AG pressure implies that effects attributed to GC pressure may actually be due to AG pressure, and vice versa.

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Mesh:

Year:  2003        PMID: 15130833

Source DB:  PubMed          Journal:  Appl Bioinformatics        ISSN: 1175-5636


  5 in total

1.  Optimum growth temperature and the base composition of open reading frames in prokaryotes.

Authors:  R J Lambros; J R Mortimer; D R Forsdyke
Journal:  Extremophiles       Date:  2003-08-28       Impact factor: 2.395

2.  Prokaryotes that grow optimally in acid have purine-poor codons in long open reading frames.

Authors:  Feng-Hsu Lin; Donald R Forsdyke
Journal:  Extremophiles       Date:  2006-09-07       Impact factor: 2.395

3.  The CRISPR Spacer Space Is Dominated by Sequences from Species-Specific Mobilomes.

Authors:  Sergey A Shmakov; Vassilii Sitnik; Kira S Makarova; Yuri I Wolf; Konstantin V Severinov; Eugene V Koonin
Journal:  mBio       Date:  2017-09-19       Impact factor: 7.867

Review 4.  Neutralism versus selectionism: Chargaff's second parity rule, revisited.

Authors:  Donald R Forsdyke
Journal:  Genetica       Date:  2021-04-20       Impact factor: 1.633

5.  The Purine Bias of Coding Sequences is Determined by Physicochemical Constraints on Proteins.

Authors:  Miguel Ponce de Leon; Antonio Basilio de Miranda; Fernando Alvarez-Valin; Nicolas Carels
Journal:  Bioinform Biol Insights       Date:  2014-05-20
  5 in total

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