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Genome-Scale Metabolic Model of a Microbial Cell Factory (Brevibacillus thermoruber 423) with Multi-Industry Potentials for Exopolysaccharide Production

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dc.contributor.authorTOKSOY ÖNER, EBRU
dc.contributor.authorsYildiz, Songul Yasar; Nikerel, Emrah; Oner, Ebru Toksoy
dc.date.accessioned2022-03-12T22:38:32Z
dc.date.available2022-03-12T22:38:32Z
dc.date.issued2019
dc.description.abstractBrevibacillus thermoruber 423 is a thermophilic bacterium capable of producing high levels of exopolysaccharide (EPS) that has broad applications in nutrition, feed, cosmetics, pharmaceutical, and chemical industries, not to mention in health and bionanotechnology sectors. EPS is a natural, nontoxic, and biodegradable polymer of sugar residues and plays pivotal roles in cell-to-cell interactions, adhesion, biofilm formation, and protection of cell against environmental extremes. This bacterium is a thermophilic EPS producer while exceeding other thermophilic producers by virtue of high level of polymer synthesis. Recently, B. thermoruber 423 was noted for relevance to multiple industry sectors because of its capacity to use xylose, and produce EPS, isoprenoids, ethanol/butanol, lipases, proteases, cellulase, and glucoamylase enzymes as well as its resistance to arsenic. A key step in understanding EPS production with a systems-based approach is the knowledge of microbial genome sequence. To speed biotechnology and industrial applications, this study reports on a genome-scale metabolic model (GSMM) of B. thermoruber 423, constructed using the recently available high-quality genome sequence that we have subsequently validated using physiological data on batch growth and EPS production on seven different carbon sources. The model developed contains 1454 reactions (of which 1127 are assigned an enzyme commission number) and 1410 metabolites from 925 genes. This GSMM offers the promise to enable and accelerate further systems biology and industrial scale studies, not to mention the ability to calculate metabolic flux distribution in large networks and multiomic data integration.
dc.identifier.doi10.1089/omi.2019.0028
dc.identifier.eissn1557-8100
dc.identifier.issn1536-2310
dc.identifier.pubmed30932743
dc.identifier.urihttps://hdl.handle.net/11424/235660
dc.identifier.wosWOS:000462877200001
dc.language.isoeng
dc.publisherMARY ANN LIEBERT, INC
dc.relation.ispartofOMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectgenome-scale metabolic model
dc.subjectpharmaceutical industry
dc.subjectfood industry
dc.subjectexopolysaccharide
dc.subjectthermophilic bacteria
dc.subjectbionanotechnology industry
dc.subjectCONSTRAINT-BASED MODELS
dc.subjectFLUX BALANCE ANALYSIS
dc.subjectQUANTITATIVE PREDICTION
dc.subjectSYSTEMS BIOLOGY
dc.subjectRECONSTRUCTION
dc.subjectNETWORKS
dc.subjectOMICS
dc.titleGenome-Scale Metabolic Model of a Microbial Cell Factory (Brevibacillus thermoruber 423) with Multi-Industry Potentials for Exopolysaccharide Production
dc.typearticle
dspace.entity.typePublication
local.avesis.idf2fdbb74-f6f9-4022-9e5a-b93a37f3e514
local.import.packageSS17
local.indexed.atWOS
local.indexed.atSCOPUS
local.indexed.atPUBMED
local.journal.numberofpages10
local.journal.quartileQ2
oaire.citation.endPage246
oaire.citation.issue4
oaire.citation.startPage237
oaire.citation.titleOMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
oaire.citation.volume23
relation.isAuthorOfPublication6118e9e4-a58e-429b-bbec-4f73a3089a2b
relation.isAuthorOfPublication.latestForDiscovery6118e9e4-a58e-429b-bbec-4f73a3089a2b

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