1988
DOI: 10.1016/0385-6380(88)90105-7
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Isolation and characterization of a stable l-arginine producer from continuous culture broth of Corynebacterium acetoacidophilum

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Cited by 16 publications
(5 citation statements)
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“…1 ab—case 3), e.g. as seen in early chemostat-based studies [ 2 , 55 ]. In addition to changes driven by cell heterogeneities (e.g.…”
Section: Non-genetic and Genetic Heterogeneities Affect Bioprocess Pementioning
confidence: 98%
“…1 ab—case 3), e.g. as seen in early chemostat-based studies [ 2 , 55 ]. In addition to changes driven by cell heterogeneities (e.g.…”
Section: Non-genetic and Genetic Heterogeneities Affect Bioprocess Pementioning
confidence: 98%
“…C. glutamicum arginine producers used for comparative sequence analysis were strains A-27, I-30, and D-77, which were derived through multiple rounds of mutagenesis from wild-type ATCC 13870, ATCC 13032, and KY10025, respectively (2,17). Strain ATCC 13870 was previously classified as Corynebacterium acetoacidophilum, but based on recent molecular taxonomic studies it is currently reclassified in the original species, C. glutamicum (13).…”
Section: Methodsmentioning
confidence: 99%
“…After growth to early stationary phase at 30°C on a rotary shaker, the seed broth was transferred into a 5-liter jar fermentor containing 1,000 ml of RPG1 medium. After the sugar initially added was consumed, a solution containing (per liter) 500 g of glucose, 30 g of (NH 4 2 O, 20 mg of ␤-alanine, 20 mg of nicotinic acid, 20 mg of thiamine-HCl, and 0.2 mg of D-biotin was continuously fed until the total amount of glucose in the medium reached 572 g. The feeding rate of the solution was controlled to maintain the glucose concentration in the medium at a low concentration (below 0.5%). The culture was basically performed with an agitation speed of 800 rpm, with aeration at 2 liter/min, and at 30°C or 38°C.…”
Section: Methodsmentioning
confidence: 99%
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“…Production loads typically arise from metabolic depletions ( 6 ) in addition to toxicities from pathway intermediates and end products ( 7 ). Such production loads can cause declining yields due to genetic instabilities and eventually lead to the complete loss of production, posing substantial challenges to the scale-up of bio-based processes ( 8 10 ) and applicability of continuous fermentations ( 11 , 12 ). Optimization of long-term genetic strain stability is therefore a necessary and research-intensive process toward commercialization of bioprocesses.…”
mentioning
confidence: 99%