Evolutionary design of multiple genes encoding the same protein
Author(s) -
Goro Terai,
Satoshi Kamegai,
Akito Taneda,
Kiyoshi Asai
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx030
Subject(s) - gene , genome , computer science , computational biology , encoding (memory) , set (abstract data type) , codon usage bias , organism , coding (social sciences) , biology , genetics , programming language , artificial intelligence , mathematics , statistics
Enhancing expression levels of a target protein is an important goal in synthetic biology. A widely used strategy is to integrate multiple copies of genes encoding a target protein into a host organism genome. Integrating highly similar sequences, however, can induce homologous recombination between them, resulting in the ultimate reduction of the number of integrated genes.
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