Metabolic systems biology and multi-omics of cyanobacteria: Perspectives and future directions.
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| Title: | Metabolic systems biology and multi-omics of cyanobacteria: Perspectives and future directions. |
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| Authors: | Pathania, Ruchi1 (AUTHOR), Srivastava, Amit1,2 (AUTHOR), Srivastava, Shireesh1,3 (AUTHOR), Shukla, Pratyoosh1,4,5 (AUTHOR) pratyoosh.shukla@gmail.com |
| Source: | Bioresource Technology. Jan2022, Vol. 343, pN.PAG-N.PAG. 1p. |
| Subjects: | Systems biology, Atmospheric carbon dioxide, Metabolomics, Metabolic flux analysis, Metabolic models, Genetic regulation, Synthetic biology |
| Abstract: | [Display omitted] • Various techniques for understanding cyanobacterial metabolism are reviewed here. • Integration of multi-omics data with metabolic models are discussed. • Various applications of metabolic systems biology and multi-omics are presented. Cyanobacteria are oxygenic photoautotrophs whose metabolism contains key biochemical pathways to fix atmospheric CO 2 and synthesize various metabolites. The development of bioengineering tools has enabled the manipulation of cyanobacterial chassis to produce various valuable bioproducts photosynthetically. However, effective utilization of cyanobacteria as photosynthetic cell factories needs a detailed understanding of their metabolism and its interaction with other cellular processes. Implementing systems and synthetic biology tools has generated a wealth of information on various metabolic pathways. However, to design effective engineering strategies for further improvement in growth, photosynthetic efficiency, and enhanced production of target biochemicals, in-depth knowledge of their carbon/nitrogen metabolism, pathway fluxe distribution, genetic regulation and integrative analyses are necessary. In this review, we discuss the recent advances in the development of genome-scale metabolic models (GSMMs), omics analyses (metabolomics, transcriptomics, proteomics, fluxomics), and integrative modeling approaches to showcase the current understanding of cyanobacterial metabolism. [ABSTRACT FROM AUTHOR] |
| Copyright of Bioresource Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 153660179 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Metabolic systems biology and multi-omics of cyanobacteria: Perspectives and future directions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pathania%2C+Ruchi%22">Pathania, Ruchi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Srivastava%2C+Amit%22">Srivastava, Amit</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Srivastava%2C+Shireesh%22">Srivastava, Shireesh</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shukla%2C+Pratyoosh%22">Shukla, Pratyoosh</searchLink><relatesTo>1,4,5</relatesTo> (AUTHOR)<i> pratyoosh.shukla@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Bioresource+Technology%22">Bioresource Technology</searchLink>. Jan2022, Vol. 343, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Systems+biology%22">Systems biology</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+carbon+dioxide%22">Atmospheric carbon dioxide</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolomics%22">Metabolomics</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolic+flux+analysis%22">Metabolic flux analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolic+models%22">Metabolic models</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+regulation%22">Genetic regulation</searchLink><br /><searchLink fieldCode="DE" term="%22Synthetic+biology%22">Synthetic biology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: [Display omitted] • Various techniques for understanding cyanobacterial metabolism are reviewed here. • Integration of multi-omics data with metabolic models are discussed. • Various applications of metabolic systems biology and multi-omics are presented. Cyanobacteria are oxygenic photoautotrophs whose metabolism contains key biochemical pathways to fix atmospheric CO 2 and synthesize various metabolites. The development of bioengineering tools has enabled the manipulation of cyanobacterial chassis to produce various valuable bioproducts photosynthetically. However, effective utilization of cyanobacteria as photosynthetic cell factories needs a detailed understanding of their metabolism and its interaction with other cellular processes. Implementing systems and synthetic biology tools has generated a wealth of information on various metabolic pathways. However, to design effective engineering strategies for further improvement in growth, photosynthetic efficiency, and enhanced production of target biochemicals, in-depth knowledge of their carbon/nitrogen metabolism, pathway fluxe distribution, genetic regulation and integrative analyses are necessary. In this review, we discuss the recent advances in the development of genome-scale metabolic models (GSMMs), omics analyses (metabolomics, transcriptomics, proteomics, fluxomics), and integrative modeling approaches to showcase the current understanding of cyanobacterial metabolism. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Bioresource Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.biortech.2021.126007 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Systems biology Type: general – SubjectFull: Atmospheric carbon dioxide Type: general – SubjectFull: Metabolomics Type: general – SubjectFull: Metabolic flux analysis Type: general – SubjectFull: Metabolic models Type: general – SubjectFull: Genetic regulation Type: general – SubjectFull: Synthetic biology Type: general Titles: – TitleFull: Metabolic systems biology and multi-omics of cyanobacteria: Perspectives and future directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pathania, Ruchi – PersonEntity: Name: NameFull: Srivastava, Amit – PersonEntity: Name: NameFull: Srivastava, Shireesh – PersonEntity: Name: NameFull: Shukla, Pratyoosh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 09608524 Numbering: – Type: volume Value: 343 Titles: – TitleFull: Bioresource Technology Type: main |
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