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The Calvin Benson cycle in bacteria: New insights from systems biology
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Systems Biology.ORCID iD: 0000-0003-1899-7649
2024 (English)In: Seminars in Cell and Developmental Biology, ISSN 1084-9521, E-ISSN 1096-3634, Vol. 155, p. 71-83Article, review/survey (Refereed) Published
Abstract [en]

The Calvin Benson cycle in phototrophic and chemolithoautotrophic bacteria has ecological and biotechnological importance, which has motivated study of its regulation. I review recent advances in our understanding of how the Calvin Benson cycle is regulated in bacteria and the technologies used to elucidate regulation and modify it, and highlight differences between and photoautotrophic and chemolithoautotrophic models. Systems biology studies have shown that in oxygenic phototrophic bacteria, Calvin Benson cycle enzymes are extensively regulated at post-transcriptional and post-translational levels, with multiple enzyme activities connected to cellular redox status through thioredoxin. In chemolithoautotrophic bacteria, regulation is primarily at the transcriptional level, with effector metabolites transducing cell status, though new methods should now allow facile, proteome-wide exploration of biochemical regulation in these models. A biotechnological objective is to enhance CO2 fixation in the cycle and partition that carbon to a product of interest. Flux control of CO2 fixation is distributed over multiple enzymes, and attempts to modulate gene Calvin cycle gene expression show a robust homeostatic regulation of growth rate, though the synthesis rates of products can be significantly increased. Therefore, de-regulation of cycle enzymes through protein engineering may be necessary to increase fluxes. Non-canonical Calvin Benson cycles, if implemented with synthetic biology, could have reduced energy demand and enzyme loading, thus increasing the attractiveness of these bacteria for industrial applications.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 155, p. 71-83
National Category
Biochemistry Molecular Biology
Identifiers
URN: urn:nbn:se:kth:diva-340866DOI: 10.1016/j.semcdb.2023.03.007ISI: 001109744900001PubMedID: 37002131Scopus ID: 2-s2.0-85151259504OAI: oai:DiVA.org:kth-340866DiVA, id: diva2:1819853
Note

QC 20231215

Available from: 2023-12-15 Created: 2023-12-15 Last updated: 2025-02-20Bibliographically approved

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Hudson, Elton P.

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