A Strong Effect of AT Mutational Bias on Amino Acid Usage in Buchnera is Mitigated at High-Expression Genes

2002 ◽  
Vol 19 (9) ◽  
pp. 1575-1584 ◽  
Author(s):  
Carmen Palacios ◽  
Jennifer J. Wernegreen
Microbiology ◽  
2003 ◽  
Vol 149 (9) ◽  
pp. 2585-2596 ◽  
Author(s):  
Joshua T. Herbeck ◽  
Dennis P. Wall ◽  
Jennifer J. Wernegreen

Wigglesworthia glossinidia brevipalpis, the obligate bacterial endosymbiont of the tsetse fly Glossina brevipalpis, is characterized by extreme genome reduction and AT nucleotide composition bias. Here, multivariate statistical analyses are used to test the hypothesis that mutational bias and genetic drift shape synonymous codon usage and amino acid usage of Wigglesworthia. The results show that synonymous codon usage patterns vary little across the genome and do not distinguish genes of putative high and low expression levels, thus indicating a lack of translational selection. Extreme AT composition bias across the genome also drives relative amino acid usage, but predicted high-expression genes (ribosomal proteins and chaperonins) use GC-rich amino acids more frequently than do low-expression genes. The levels and configuration of amino acid differences between Wigglesworthia and Escherichia coli were compared to test the hypothesis that the relatively GC-rich amino acid profiles of high-expression genes reflect greater amino acid conservation at these loci. This hypothesis is supported by reduced levels of protein divergence at predicted high-expression Wigglesworthia genes and similar configurations of amino acid changes across expression categories. Combined, the results suggest that codon and amino acid usage in the Wigglesworthia genome reflect a strong AT mutational bias and elevated levels of genetic drift, consistent with expected effects of an endosymbiotic lifestyle and repeated population bottlenecks. However, these impacts of mutation and drift are apparently attenuated by selection on amino acid composition at high-expression genes.


Genetics ◽  
2003 ◽  
Vol 164 (4) ◽  
pp. 1291-1303 ◽  
Author(s):  
Hiroshi Akashi

AbstractThe primary structures of peptides may be adapted for efficient synthesis as well as proper function. Here, the Saccharomyces cerevisiae genome sequence, DNA microarray expression data, tRNA gene numbers, and functional categorizations of proteins are employed to determine whether the amino acid composition of peptides reflects natural selection to optimize the speed and accuracy of translation. Strong relationships between synonymous codon usage bias and estimates of transcript abundance suggest that DNA array data serve as adequate predictors of translation rates. Amino acid usage also shows striking relationships with expression levels. Stronger correlations between tRNA concentrations and amino acid abundances among highly expressed proteins than among less abundant proteins support adaptation of both tRNA abundances and amino acid usage to enhance the speed and accuracy of protein synthesis. Natural selection for efficient synthesis appears to also favor shorter proteins as a function of their expression levels. Comparisons restricted to proteins within functional classes are employed to control for differences in amino acid composition and protein size that reflect differences in the functional requirements of proteins expressed at different levels.


Author(s):  
Ashley M Buckle ◽  
Malcolm Buckle

In addition to the canonical loss-of-function mutations, mutations in proteins may additionally result in gain-of-function through the binary activation of cryptic ‘structural capacitance elements’. Our previous bioinformatic analysis allowed us to propose a new mechanism of protein evolution - structural capacitance – that arises via the generation of new elements of microstructure upon mutations that cause a disorder-to-order (DO) transition in previously disordered regions of proteins. Here we propose that the DO transition is a necessary follow-on from expected early codon-anticodon and tRNA acceptor stem-amino acid usage, via the accumulation of structural capacitance elements - reservoirs of disorder in proteins. We develop this argument further to posit that structural capacitance is an inherent consequence of the evolution of the genetic code.


Gene ◽  
2003 ◽  
Vol 311 ◽  
pp. 35-42 ◽  
Author(s):  
Rickard Sandberg ◽  
Carl-Ivar Bränden ◽  
Ingemar Ernberg ◽  
Joakim Cöster

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e110381 ◽  
Author(s):  
Yousheng Rao ◽  
Zhangfeng Wang ◽  
Xuewen Chai ◽  
Qinghua Nie ◽  
Xiquan Zhang
Keyword(s):  

1991 ◽  
Vol 19 (22) ◽  
pp. 6119-6122 ◽  
Author(s):  
Fumiaki Yamao ◽  
Yoshiki Andachi ◽  
Akira Muto ◽  
Toshimichi Ikemura ◽  
Syozo Osawa

1989 ◽  
Vol 65 (4) ◽  
pp. 73-75 ◽  
Author(s):  
Fumiaki YAMAO ◽  
Yoshiki ANDACHI ◽  
Akira MUTO ◽  
Toshimichi IKEMURA ◽  
Syozo OSAWA

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