Gene expression levels influence amino acid usage and evolutionary rates in 
endosymbiotic bacteria

Schaber, Jörg; Rispe, Claude; Wernegreen, Jennifer; Buness, Andreas; Delmotte, François; Silva, Francisco J.; Moya, Andrés

doi:10.1016/j.gene.2005.04.003

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

Gene expression levels influence amino acid usage and evolutionary rates in endosymbiotic bacteria

MPS-Authors

Schaber, Jörg
Max Planck Society;

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

Schaber et al. - Gene.pdf
(全文テキスト（全般）), 257KB

付随資料 (公開)

There is no public supplementary material available

引用

Schaber, J., Rispe, C., Wernegreen, J., Buness, A., Delmotte, F., Silva, F. J., & Moya, A. (2005). Gene expression levels influence amino acid usage and evolutionary rates in endosymbiotic bacteria. Gene, 352, 109-17. doi:10.1016/j.gene.2005.04.003.

引用: https://hdl.handle.net/11858/00-001M-0000-0010-862B-0

要旨

Most endosymbiotic bacteria have extremely reduced genomes, accelerated evolutionary rates, and strong AT base compositional bias thought to reflect reduced efficacy of selection and increased mutational pressure. Here, we present a comparative study of evolutionary forces shaping five fully sequenced bacterial endosymbionts of insects. The results of this study were three-fold: (i) Stronger conservation of high expression genes at not just nonsynonymous, but also synonymous, sites. (ii) Variation in amino acid usage strongly correlates with GC content and expression level of genes. This pattern is largely explained by greater conservation of high expression genes, leading to their higher GC content. However, we also found indication of selection favoring GC-rich amino acids that contrasts with former studies. (iii) Although the specific nutritional requirements of the insect host are known to affect gene content of endosymbionts, we found no detectable influence on substitution rates, amino acid usage, or codon usage of bacterial genes involved in host nutrition.