Literature DB >> 18391235

Evaluation of codon bias perspectives in phage therapy of Mycobacterium tuberculosis by multivariate analysis.

Ashutosh Ranjan1, Ambrish Sharan Vidyarthi, Raju Poddar.   

Abstract

To reveal the relative synonymous codon usage and base composition variation in bacteriophages, six mycobacteriophages were used as a model system here and both parameters in these phages and their host bacteria, Mycobacterium tuberculosis, have been determined and compared. As expected for GC-rich genomes, there are predominantly G and C ending codons in all 6 phages. Both N_{c} plot and correspondence analysis on relative synonymous codon usage indicate that mutation bias and translation selection influences codon usage variation in the 6 phages. Further analysis indicates that among 6 Mycobacterium phages Che9c, Bxz1 and TM4 may be extremely virulent in nature as most of their genes have high translation efficiency. Based on our data we suggest that the genes of above three phages are expressed rapidly by host's translation machinery. The information might be used to select the extremely virulent Mycobacterium tuberculosis phages suitable for phage therapy.

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Year:  2007        PMID: 18391235

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  9 in total

1.  Comparative study on factors influencing the codon and amino acid usage in Lactobacillus sakei 23K and 13 other lactobacilli.

Authors:  Kinshuk Chandra Nayak
Journal:  Mol Biol Rep       Date:  2011-05-07       Impact factor: 2.316

2.  Synonymous codon usage analysis of thirty two mycobacteriophage genomes.

Authors:  Sameer Hassan; Vasantha Mahalingam; Vanaja Kumar
Journal:  Adv Bioinformatics       Date:  2010-02-01

3.  Synonymous codon usage in forty staphylococcal phages identifies the factors controlling codon usage variation and the phages suitable for phage therapy.

Authors:  Arghya Kamal Bishal; Soumya Saha; Keya Sau
Journal:  Bioinformation       Date:  2012-12-08

4.  Phage therapy as a renewed therapeutic approach to mycobacterial infections: a comprehensive review.

Authors:  Taher Azimi; Mehrdad Mosadegh; Mohammad Javad Nasiri; Sahar Sabour; Samira Karimaei; Ahmad Nasser
Journal:  Infect Drug Resist       Date:  2019-09-17       Impact factor: 4.003

5.  Comparison of correspondence analysis methods for synonymous codon usage in bacteria.

Authors:  Haruo Suzuki; Celeste J Brown; Larry J Forney; Eva M Top
Journal:  DNA Res       Date:  2008-10-21       Impact factor: 4.458

6.  Study of codon bias perspective of fungal xylanase gene by multivariate analysis.

Authors:  Smriti Shrivastava; Raju Poddar; Pratyoosh Shukla; Kunal Mukhopadhyay
Journal:  Bioinformation       Date:  2009-07-27

7.  Differential codon adaptation between dsDNA and ssDNA phages in Escherichia coli.

Authors:  Shivapriya Chithambaram; Ramanandan Prabhakaran; Xuhua Xia
Journal:  Mol Biol Evol       Date:  2014-02-27       Impact factor: 16.240

8.  The effect of mutation and selection on codon adaptation in Escherichia coli bacteriophage.

Authors:  Shivapriya Chithambaram; Ramanandan Prabhakaran; Xuhua Xia
Journal:  Genetics       Date:  2014-02-28       Impact factor: 4.562

9.  The Dynamic Codon Biaser: calculating prokaryotic codon usage biases.

Authors:  Brian Dehlinger; Jared Jurss; Karson Lychuk; Catherine Putonti
Journal:  Microb Genom       Date:  2021-10
  9 in total

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