Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/42720
Título: | Multi-omics quantification of species variation of Escherichia coli links molecular features with strain phenotypes |
Autor(es): | Monk, Jonathan M. Koza, Anna Campodonico, Miguel A. Machado, Daniel Seoane, Jose Miguel Palsson, Bernhard O. Herrgård, Markus J. Feist, Adam M. |
Palavras-chave: | Metabolic engineering Systems biology Genome-scale modeling Escherichia coli |
Data: | 2016 |
Editora: | Cell Press |
Revista: | Cell Systems |
Citação: | Monk, Jonathan M.; Koza, Anna; Campodonico, Miguel A.; Machado, Daniel; Seoane, Jose Miguel; Palsson, Bernhard O.; Herrgård, Markus J.; Feist, Adam M., Multi-omics quantification of species variation of Escherichia coli links molecular features with strain phenotypes. Cell Systems, 3(3), 238-251, 2016 |
Resumo(s): | Escherichia coli strains are widely used in academic research and biotechnology. New technologies for quantifying strain-specific differences and their underlying contributing factors promise greater understanding of how these differences significantly impact physiology, synthetic biology, metabolic engineering, and process design. Here, we quantified strain-specific differences in seven widely used strains of E. coli (BL21, C, Crooks, DH5a, K-12 MG1655, K-12 W3110, and W) using genomics, phenomics, transcriptomics, and genome-scale modeling. Metabolic physiology and gene expression varied widely with downstream implications for productivity, product yield, and titer. These differences could be linked to differential regulatory structure. Analyzing high-flux reactions and expression of encoding genes resulted in a correlated and quantitative link between these sets, with strain-specific caveats. Integrated modeling revealed that certain strains are better suited to produce given compounds or express desired constructs considering native expression states of pathways that enable high-production phenotypes. This study yields a framework for quantitatively comparing strains in a species with implications for strain selection. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/42720 |
DOI: | 10.1016/j.cels.2016.08.013 |
ISSN: | 2405-4712 |
e-ISSN: | 2405-4712 |
Versão da editora: | http://www.cell.com/cell-systems/home |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
document_45183_1.pdf Acesso restrito! | 4,65 MB | Adobe PDF | Ver/Abrir |