Cargando…
Computational metabolic engineering strategies for growth-coupled biofuel production by Synechocystis
Chemical and fuel production by photosynthetic cyanobacteria is a promising technology but to date has not reached competitive rates and titers. Genome-scale metabolic modeling can reveal limitations in cyanobacteria metabolism and guide genetic engineering strategies to increase chemical production...
Autores principales: | Shabestary, Kiyan, Hudson, Elton P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779732/ https://www.ncbi.nlm.nih.gov/pubmed/29468126 http://dx.doi.org/10.1016/j.meteno.2016.07.003 |
Ejemplares similares
-
CRISPR interference screens reveal growth–robustness tradeoffs in Synechocystis sp. PCC 6803 across growth conditions
por: Miao, Rui, et al.
Publicado: (2023) -
Genetic and nutrient modulation of acetyl-CoA levels in Synechocystis for n-butanol production
por: Anfelt, Josefine, et al.
Publicado: (2015) -
Pooled CRISPRi screening of the cyanobacterium Synechocystis sp PCC 6803 for enhanced industrial phenotypes
por: Yao, Lun, et al.
Publicado: (2020) -
Integrated OMICS guided engineering of biofuel butanol-tolerance in photosynthetic Synechocystis sp. PCC 6803
por: Zhu, Hongji, et al.
Publicado: (2013) -
Advances in S. cerevisiae Engineering for Xylose Fermentation and Biofuel Production: Balancing Growth, Metabolism, and Defense
por: Wagner, Ellen R., et al.
Publicado: (2023)