A smart RBS library and its prediction model for robust and accurate fine-tuning of gene expression in Bacillus species.
Metab Eng
; 81: 1-9, 2024 Jan.
Article
en En
| MEDLINE
| ID: mdl-37951459
ABSTRACT
Bacillus species, such as Bacillus subtilis and Bacillus licheniformis, are important industrial bacteria. However, there is a lack of standardized and predictable genetic tools for convenient and reproducible assembly of genetic modules in Bacillus species to realize their full potential. In this study, we constructed a Ribosome Binding Site (RBS) library in B. licheniformis, which provides incremental regulation of expression levels over a 104-fold range. Additionally, we developed a model to quantify the resulting translation rates. We successfully demonstrated the robust expression of various target genes using the RBS library and showed that the model accurately predicts the translation rates of arbitrary coding genes. Importantly, we also extended the use of the RBS library and prediction model to B. subtilis, B. thuringiensis, and B. amyloliquefacie. The versatility of the RBS library and its prediction model enables quantification of biological behavior, facilitating reliable forward engineering of gene expression.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Bacillus
Idioma:
En
Revista:
Metab Eng
Asunto de la revista:
ENGENHARIA BIOMEDICA
/
METABOLISMO
Año:
2024
Tipo del documento:
Article