Literature DB >> 16315108

Inferring the pattern of spontaneous mutation from the pattern of substitution in unitary pseudogenes of Mycobacterium leprae and a comparison of mutation patterns among distantly related organisms.

Amir Mitchell1, Dan Graur.   

Abstract

The pattern of spontaneous mutation can be inferred from the pattern of substitution in pseudogenes, which are known to be under very weak or no selective constraint. We modified an existing method (Gojobori T, et al., J Mol Evol 18:360, 1982) to infer the pattern of mutation in bacteria by using 569 pseudogenes from Mycobacterium leprae. In Gojobori et al.'s method, the pattern is inferred by using comparisons involving a pseudogene, a conspecific functional paralog, and an outgroup functional ortholog. Because pseudogenes in M. leprae are unitary, we replaced the missing paralogs by functional orthologs from M. tuberculosis. Functional orthologs from Streptomyces coelicolor served as outgroups. We compiled a database consisting of 69,378 inferred mutations. Transitional mutations were found to constitute more than 56% of all mutations. The transitional bias was mainly due to C-->T and G-->A, which were also the most frequent mutations on the leading strand and the only ones that were significantly more frequent than the random expectation. The least frequent mutations on the leading strand were A-->T and T-->A, each with a relative frequency of less than 3%. The mutation pattern was found to differ between the leading and the lagging strands. This asymmetry is thought to be the cause for the typical chirochoric structure of bacterial genomes. The physical distance of the pseudogene from the origin of replication (ori) was found to have almost no effect on the pattern of mutation. A surprising similarity was found between the mutation pattern in M. leprae and previously inferred patterns for such distant taxa as human and Drosophila. The mutation pattern on the leading strand of M. leprae was also found to share some common features with the pattern inferred for the heavy strand of the human mitochondrial genome. These findings indicate that taxon-specific factors may only play secondary roles in determining patterns of mutation.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16315108     DOI: 10.1007/s00239-004-0235-0

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   3.973


  36 in total

1.  Where are the pseudogenes in bacterial genomes?

Authors:  J G Lawrence; R W Hendrix; S Casjens
Journal:  Trends Microbiol       Date:  2001-11       Impact factor: 17.079

2.  Gene expression, amino acid conservation, and hydrophobicity are the main factors shaping codon preferences in Mycobacterium tuberculosis and Mycobacterium leprae.

Authors:  A B de Miranda; F Alvarez-Valin; K Jabbari; W M Degrave; G Bernardi
Journal:  J Mol Evol       Date:  2000-01       Impact factor: 2.395

3.  Strand symmetry of mutation rates in the beta-globin region.

Authors:  M Bulmer
Journal:  J Mol Evol       Date:  1991-10       Impact factor: 2.395

4.  Asymmetric substitution patterns in the two DNA strands of bacteria.

Authors:  J R Lobry
Journal:  Mol Biol Evol       Date:  1996-05       Impact factor: 16.240

5.  Relationships between genomic G+C content, RNA secondary structures, and optimal growth temperature in prokaryotes.

Authors:  N Galtier; J R Lobry
Journal:  J Mol Evol       Date:  1997-06       Impact factor: 2.395

6.  Asymmetries generated by transcription-coupled repair in enterobacterial genes.

Authors:  M P Francino; L Chao; M A Riley; H Ochman
Journal:  Science       Date:  1996-04-05       Impact factor: 47.728

7.  Ongoing evolution of strand composition in bacterial genomes.

Authors:  E P Rocha; A Danchin
Journal:  Mol Biol Evol       Date:  2001-09       Impact factor: 16.240

8.  Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence.

Authors:  S T Cole; R Brosch; J Parkhill; T Garnier; C Churcher; D Harris; S V Gordon; K Eiglmeier; S Gas; C E Barry; F Tekaia; K Badcock; D Basham; D Brown; T Chillingworth; R Connor; R Davies; K Devlin; T Feltwell; S Gentles; N Hamlin; S Holroyd; T Hornsby; K Jagels; A Krogh; J McLean; S Moule; L Murphy; K Oliver; J Osborne; M A Quail; M A Rajandream; J Rogers; S Rutter; K Seeger; J Skelton; R Squares; S Squares; J E Sulston; K Taylor; S Whitehead; B G Barrell
Journal:  Nature       Date:  1998-06-11       Impact factor: 49.962

9.  Organization of the origins of replication of the chromosomes of Mycobacterium smegmatis, Mycobacterium leprae and Mycobacterium tuberculosis and isolation of a functional origin from M. smegmatis.

Authors:  L Salazar; H Fsihi; E de Rossi; G Riccardi; C Rios; S T Cole; H E Takiff
Journal:  Mol Microbiol       Date:  1996-04       Impact factor: 3.501

10.  Relative roles of primary sequence and (G + C)% in determining the hierarchy of frequencies of complementary trinucleotide pairs in DNAs of different species.

Authors:  D R Forsdyke
Journal:  J Mol Evol       Date:  1995-11       Impact factor: 2.395

View more
  9 in total

Review 1.  Measurements of spontaneous rates of mutations in the recent past and the near future.

Authors:  Fyodor A Kondrashov; Alexey S Kondrashov
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

2.  Assessing substitution variation across sites in grass chloroplast DNA.

Authors:  Tian Zheng; Tomoyuki Ichiba; Brian R Morton
Journal:  J Mol Evol       Date:  2007-05-29       Impact factor: 2.395

3.  Methods to Identify and Study the Evolution of Pseudogenes Using a Phylogenetic Approach.

Authors:  Jacques Dainat; Pierre Pontarotti
Journal:  Methods Mol Biol       Date:  2021

4.  Evidence of selection upon genomic GC-content in bacteria.

Authors:  Falk Hildebrand; Axel Meyer; Adam Eyre-Walker
Journal:  PLoS Genet       Date:  2010-09-09       Impact factor: 5.917

5.  Comparative genomic and phylogeographic analysis of Mycobacterium leprae.

Authors:  Marc Monot; Nadine Honoré; Thierry Garnier; Nora Zidane; Diana Sherafi; Alberto Paniz-Mondolfi; Masanori Matsuoka; G Michael Taylor; Helen D Donoghue; Abi Bouwman; Simon Mays; Claire Watson; Diana Lockwood; Ali Khamesipour; Ali Khamispour; Yahya Dowlati; Shen Jianping; Thomas H Rea; Lucio Vera-Cabrera; Mariane M Stefani; Sayera Banu; Murdo Macdonald; Bishwa Raj Sapkota; John S Spencer; Jérôme Thomas; Keith Harshman; Pushpendra Singh; Philippe Busso; Alexandre Gattiker; Jacques Rougemont; Patrick J Brennan; Stewart T Cole
Journal:  Nat Genet       Date:  2009-11-01       Impact factor: 38.330

6.  Evidence that mutation is universally biased towards AT in bacteria.

Authors:  Ruth Hershberg; Dmitri A Petrov
Journal:  PLoS Genet       Date:  2010-09-09       Impact factor: 5.917

7.  GLADX: an automated approach to analyze the lineage-specific loss and pseudogenization of genes.

Authors:  Jacques Dainat; Julien Paganini; Pierre Pontarotti; Philippe Gouret
Journal:  PLoS One       Date:  2012-06-18       Impact factor: 3.240

8.  Separating the effects of mutation and selection in producing DNA skew in bacterial chromosomes.

Authors:  Richard A Morton; Brian R Morton
Journal:  BMC Genomics       Date:  2007-10-12       Impact factor: 3.969

9.  Correlation between bacterial G+C content, genome size and the G+C content of associated plasmids and bacteriophages.

Authors:  Apostolos Almpanis; Martin Swain; Derek Gatherer; Neil McEwan
Journal:  Microb Genom       Date:  2018-04-10
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.