Energy metabolism, oxygen flux, and iron in bacteria: The Mössbauer report

Kosman, Daniel J.

doi:10.1074/jbc.h118.006703

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Most of the intermediate precursors and reducing power generated by central carbon and amino acid metabolism follow the oxidative phosphorylation pathway for ATP synthesis (Daniel, 2019). We detected the complete oxidative phosphorylation pathway (complex I-V) at the protein level and the complex I-, III-, and IV-generated proton gradient using the appropriate substrate (Data Set S2 and Figure 7).…”

Section: Energy Metabolismmentioning

confidence: 99%

“…We detected the complete oxidative phosphorylation pathway (complex I-V) at the protein level and the complex I-, III-, and IV-generated proton gradient using the appropriate substrate (Data Set S2 and Figure 7). The proton gradient generated can be used to create ATP via complex V (Daniel, 2019). Based on the comparative proteomic analysis, the abundance of most enzymes identified in S. pogona, such as NADH dehydrogenase (nouA/C/E/H/J/K/L/M/N, ndh), succinate dehydrogenase (sdhA1/B/B1/C), polyphosphate kinase (ppk), inorganic pyrophosphatase (ppa), and ATP synthase (atpA/C/H), was higher than that in S. spinosa and showed an increased energy production capacity.…”

Section: Energy Metabolismmentioning

confidence: 99%

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Deciphering the Metabolic Pathway Difference Between Saccharopolyspora pogona and Saccharopolyspora spinosa by Comparative Proteomics and Metabonomics

Rang

Yuan

et al. 2020

Front. Microbiol.

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Butenyl-spinosyn, a secondary metabolite produced by Saccharopolyspora pogona, exhibits strong insecticidal activity than spinosyn. However, the low synthesis capacity and unknown metabolic characteristics of butenyl-spinosyn in wild-type S. pogona limit its broad application and metabolic engineering. Here, we showed that S. pogona exhibited increased glucose consumption ability and growth rate compared with S. spinosa, but the production of butenyl-spinosyn was much lower than that of spinosyn. To further elucidate the metabolic mechanism of these different phenotypes, we performed a comparative proteomic and metabolomic study on S. pogona and S. spinosa to identify the change in the abundance levels of proteins and metabolites. We found that the abundance of most proteins and metabolites associated with glucose transport, fatty acid metabolism, tricarboxylic acid cycle, amino acid metabolism, energy metabolism, purine and pyrimidine metabolism, and target product biosynthesis in S. pogona was higher than that in S. spinosa. However, the overall abundance of proteins involved in butenyl-spinosyn biosynthesis was much lower than that of the high-abundance protein chaperonin GroEL, such as the enzymes related to rhamnose synthesis. We speculated that these protein and metabolite abundance changes may be directly responsible for the above phenotypic changes in S. pogona and S. spinosa, especially affecting butenyl-spinosyn biosynthesis. Further studies revealed that the over-expression of the rhamnose synthetic genes and methionine adenosyltransferase gene could effectively improve the production of butenyl-spinosyn by 2.69-and 3.03fold, respectively, confirming the reliability of this conjecture. This work presents the first comparative proteomics and metabolomics study of S. pogona and S. spinosa, providing new insights into the novel links of phenotypic change and metabolic difference between two strains. The result will be valuable in designing strategies to promote the biosynthesis of butenyl-spinosyn by metabolic engineering.

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Section: Energy Metabolismmentioning

confidence: 99%

Section: Energy Metabolismmentioning

confidence: 99%

Deciphering the Metabolic Pathway Difference Between Saccharopolyspora pogona and Saccharopolyspora spinosa by Comparative Proteomics and Metabonomics

Rang

Yuan

et al. 2020

Front. Microbiol.

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“…Besides swarming, iron is also crucial for several other physiologies ( 85 ). We tested a few such phenotypes for their correlations with intracellular iron levels ( SI Appendix , Figs.…”

Section: Discussionmentioning

confidence: 99%

A heritable iron memory enables decision-making in Escherichia coli

Bhattacharyya,

Bhattarai,

Pfannenstiel

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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The importance of memory in bacterial decision-making is relatively unexplored. We show here that a prior experience of swarming is remembered when Escherichia coli encounters a new surface, improving its future swarming efficiency. We conducted >10,000 single-cell swarm assays to discover that cells store memory in the form of cellular iron levels. This “iron” memory preexists in planktonic cells, but the act of swarming reinforces it. A cell with low iron initiates swarming early and is a better swarmer, while the opposite is true for a cell with high iron. The swarming potential of a mother cell, which tracks with its iron memory, is passed down to its fourth-generation daughter cells. This memory is naturally lost by the seventh generation, but artificially manipulating iron levels allows it to persist much longer. A mathematical model with a time-delay component faithfully recreates the observed dynamic interconversions between different swarming potentials. We demonstrate that cellular iron levels also track with biofilm formation and antibiotic tolerance, suggesting that iron memory may impact other physiologies.

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“…Besides swarming, iron is also crucial for several physiologies 58 . We tested a few such phenotypes for their correlations with intracellular iron levels (Fig.…”

Section: Iron Memory Impacts Biofilm Formation and Antibiotic Survivalmentioning

confidence: 99%

Iron Memory inE. coli

Bhattacharyya,

Bhattarai,

Pfannenstiel

et al. 2023

Preprint

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The importance of memory in bacterial decision-making is relatively unexplored. We show here that a prior experience of swarming is remembered when E. coli encounters a new surface, improving its future swarming efficiency. We conducted >10,000 single-cell swarm assays to discover that cells store memory in the form of cellular iron levels. This memory pre-exists in planktonic cells, but the act of swarming reinforces it. A cell with low iron initiates swarming early and is a better swarmer, while the opposite is true for a cell with high iron. The swarming potential of a mother cell, whether low or high, is passed down to its fourth-generation daughter cells. This memory is naturally lost by the seventh generation, but artificially manipulating iron levels allows it to persist much longer. A mathematical model with a time-delay component faithfully recreates the observed dynamic interconversions between different swarming potentials. We also demonstrate that iron memory can integrate multiple stimuli, impacting other bacterial behaviors such as biofilm formation and antibiotic tolerance.

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Energy metabolism, oxygen flux, and iron in bacteria: The Mössbauer report

Cited by 7 publications

References 9 publications

Deciphering the Metabolic Pathway Difference Between Saccharopolyspora pogona and Saccharopolyspora spinosa by Comparative Proteomics and Metabonomics

Deciphering the Metabolic Pathway Difference Between Saccharopolyspora pogona and Saccharopolyspora spinosa by Comparative Proteomics and Metabonomics

A heritable iron memory enables decision-making in Escherichia coli

Iron Memory inE. coli

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