ArticleBiotechnology for biofuels2015
Quantitative proteomics analysis of an ethanol- and a lactate-producing mutant strain of Synechocystis sp. PCC6803.
Article in Biotechnology for biofuels, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 42 citations in OpenAlex.
- Heterologous Lactate Synthesis inApplied and environmental microbiology · 2022Article
- Expression and activity of heterologous hydroxyisocaproate dehydrogenases inEngineering microbiology · 2022Article
- CyanoOmicsDB: an integrated omics database for functional genomic analysis of cyanobacteria.Nucleic acids research · 2022Article
- Comparison of alternative integration sites in the chromosome and the native plasmids of the cyanobacterium Synechocystis sp. PCC 6803 in respect to expression efficiency and copy number.Microbial cell factories · 2021Article
- Impact of RNase E and RNase J on Global mRNA Metabolism in the CyanobacteriumFrontiers in microbiology · 2020Article
- State-of-the-Art Genetic Modalities to Engineer Cyanobacteria for Sustainable Biosynthesis of Biofuel and Fine-Chemicals to Meet Bio-Economy Challenges.Life (Basel, Switzerland) · 2019Review
- On the use of oxygenic photosynthesis for the sustainable production of commodity chemicals.Physiologia plantarum · 2019Article
- Comparative Targeted Proteomics of the Central Metabolism and Photosystems in SigE Mutant Strains ofMolecules (Basel, Switzerland) · 2018Article
- Evaluation of the ethanol tolerance for wild and mutantBiotechnology reports (Amsterdam, Netherlands) · 2018Article
- Proteomic and metabolomic analysis of the cellular biomarkers related to inhibitors tolerance inBiotechnology for biofuels · 2018Article
- Cyanobacteria as Chassis for Industrial Biotechnology: Progress and Prospects.Life (Basel, Switzerland) · 2016Review
- Proteomic and metabolomic analyses reveal metabolic responses to 3-hydroxypropionic acid synthesized internally in cyanobacteriumBiotechnology for biofuels · 2016Article
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8 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed at exploring the molecular physiological consequences of a major redirection of carbon flow in so-called cyanobacterial cell factories: quantitative whole-cell proteomics analyses were carried out on two (14)N-labelled Synechocystis mutant strains, relative to their (15)N-labelled wild-type counterpart. Each mutant strain overproduced one specific commodity product, i.e. ethanol or lactic acid, to such an extent that the majority of the incoming CO2 in the organism was directly converted into the product.
resultsIn total, 267 proteins have been identified with a significantly up- or down-regulated expression level. In the ethanol-producing mutant, which had the highest relative direct flux of carbon-to-product (>65%), significant up-regulation of several components involved in the initial stages of CO2 fixation for cellular metabolism was detected. Also a general decrease in abundance of the protein synthesizing machinery of the cells and a specific induction of an oxidative stress response were observed in this mutant. In the lactic acid overproducing mutant, that expresses part of the heterologous l-lactate dehydrogenase from a self-replicating plasmid, specific activation of two CRISPR associated proteins, encoded on the endogenous pSYSA plasmid, was observed. RT-qPCR was used to measure, of nine of the genes identified in the proteomics studies, also the adjustment of the corresponding mRNA level.
conclusionThe most striking adjustments detected in the proteome of the engineered cells were dependent on the specific product formed, with, e.g. more stress caused by lactic acid- than by ethanol production. Up-regulation of the total capacity for CO2 fixation in the ethanol-producing strain was due to hierarchical- rather than metabolic regulation. Furthermore, plasmid-based expression of heterologous gene(s) may induce genetic instability. For selected, limited, number of genes a striking correlation between the respective mRNA- and the corresponding protein expression level was observed, suggesting that for the expression of these genes regulation takes place primarily at the level of gene transcription.
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