dc.contributor.author | Babele, Piyoosh K. | |
dc.contributor.author | Srivastava, Amit | |
dc.contributor.author | Young, Jamey D. | |
dc.date.accessioned | 2024-02-28T11:36:07Z | |
dc.date.available | 2024-02-28T11:36:07Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Babele, P. K., Srivastava, A., & Young, J. D. (2023). Metabolic flux phenotyping of secondary metabolism in cyanobacteria. <i>Trends in Microbiology</i>, <i>31</i>(11), 1118-1130. <a href="https://doi.org/10.1016/j.tim.2023.05.005" target="_blank">https://doi.org/10.1016/j.tim.2023.05.005</a> | |
dc.identifier.other | CONVID_183657345 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/93733 | |
dc.description.abstract | Cyanobacteria generate energy from photosynthesis and produce various secondary metabolites with diverse commercial and pharmaceutical applications. Unique metabolic and regulatory pathways in cyanobacteria present new challenges for researchers to enhance their product yields, titers, and rates. Therefore, further advancements are critically needed to establish cyanobacteria as a preferred bioproduction platform. Metabolic flux analysis (MFA) quantitatively determines the intracellular flows of carbon within complex biochemical networks, which elucidate the control of metabolic pathways by transcriptional, translational, and allosteric regulatory mechanisms. The emerging field of systems metabolic engineering (SME) involves the use of MFA and other omics technologies to guide the rational development of microbial production strains. This review highlights the potential of MFA and SME to optimize the production of cyanobacterial secondary metabolites and discusses the technical challenges that lie ahead. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Elsevier BV | |
dc.relation.ispartofseries | Trends in Microbiology | |
dc.rights | CC BY-NC-ND 4.0 | |
dc.subject.other | secondary metabolism | |
dc.subject.other | secondary metabolites | |
dc.subject.other | systems metabolic engineering | |
dc.subject.other | metabolic flux analysis | |
dc.subject.other | genome-scale metabolic models | |
dc.title | Metabolic flux phenotyping of secondary metabolism in cyanobacteria | |
dc.type | review article | |
dc.identifier.urn | URN:NBN:fi:jyu-202402282205 | |
dc.contributor.laitos | Bio- ja ympäristötieteiden laitos | fi |
dc.contributor.laitos | Department of Biological and Environmental Science | en |
dc.contributor.oppiaine | Nanoscience Center | fi |
dc.contributor.oppiaine | Nanoscience Center | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.type.coar | http://purl.org/coar/resource_type/c_dcae04bc | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 1118-1130 | |
dc.relation.issn | 0966-842X | |
dc.relation.numberinseries | 11 | |
dc.relation.volume | 31 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © 2023 Elsevier Ltd. All rights reserved | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | article | |
dc.subject.yso | aineenvaihduntatuotteet | |
dc.subject.yso | aineenvaihdunta | |
dc.subject.yso | syanobakteerit | |
dc.subject.yso | biotekniikka | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p24583 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3066 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3324 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p2348 | |
dc.rights.url | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.relation.doi | 10.1016/j.tim.2023.05.005 | |
jyx.fundinginformation | This work is supported by a Ramanujan Fellowship (file no. RJF/2020/000043) awarded to P.K.B. by Science and Engineering Research Board (SERB), Department of Science and Technology (DST), New Delhi, India. J.D.Y was supported by the DOE Genomic Science Program under awards DE-SC0018344, DE-SC0019404, DE-SC0019388, and DE-SC0022207. | |
dc.type.okm | A2 | |