Dataset Information

Metallosphaera cuprina cultivation on sulfur or yeast extract

ABSTRACT: By using heterotrophic proteome as reference, 169 proteins were found to change their abundance during autotrophic growth. The up-regulated proteins indicated that M. cuprina fixed CO2 through the previously identified 3-HB-CoA/4-HB-CoA cycle and obtained energy by oxidation of elemental sulfur as energy source under autotrophic growth. Enzymes/proteins involved in semi- and non-phosphorylating Entner-Doudoroff (ED) pathway were down-regulated. We also found that some transporter proteins changed their abundances, suggest that they were likely playing pivotal roles for growth under the respective conditions.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Metallosphaera

SUBMITTER: Ansgar Poetsch

LAB HEAD: Ansgar Poetsch

PROVIDER: PXD000676 | Pride | 2022-02-22

REPOSITORIES: Pride

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Publications

Resolution of carbon metabolism and sulfur-oxidation pathways of Metallosphaera cuprina Ar-4 via comparative proteomics.

Jiang Cheng-Ying CY Liu Li-Jun LJ Guo Xu X You Xiao-Yan XY Liu Shuang-Jiang SJ Poetsch Ansgar A

Journal of proteomics 20140714

Metallosphaera cuprina is able to grow either heterotrophically on organics or autotrophically on CO2 with reduced sulfur compounds as electron donor. These traits endowed the species desirable for application in biomining. In order to obtain a global overview of physiological adaptations on the proteome level, proteomes of cytoplasmic and membrane fractions from cells grown autotrophically on CO2 plus sulfur or heterotrophically on yeast extract were compared. 169 proteins were found to change ...[more]

PMID: 25034824

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Project description:The trophic condition related proteomes of an oxygenic photosynthetic cyanobacterium Synechocystis sp. PCC 6803 (glucose tolerant strain) were analyzed to get further insights into the metabolic traits governing the early exponential growth under photoautotrophic, mixotrophic and heterotrophic conditions. The cells were grown under constant light autotrophically (AT) in low (air-level) CO2 (ATLC) and in high CO2 (ATHC), mixotrophically (MT) in low (air-level) CO2 in the presence of glucose (MTLC) and heterotrophically in low (air-level) CO2 in the presence of glucose and only 10 min exposure to light every 24 hours (Light-Activated Heterotrophic Growth; LAHGLC). The proteomes of ATHC, MTLC and LAHGLC differed substantially from that of ATLC, particularly by downregulation of the inducible carbon concentrating mechanisms (CCM) and photorespiration related enzymes. On the contrary, under carbon-rich conditions (ATHC, MTLC, LAHGLC) the cells accumulated respiratory NAD(P)H dehydrogenase I complexes in the thylakoid membrane. In glucose supplemented cultures (MTLC, LAHGLC) a distinct NDH-2 protein, NdbA, additionally accumulated in the thylakoid membrane whilst the plasma membrane localized NdbC and ARTO decreased in abundance. The light-harvesting proteins together with the photosystem I and II subunits were uniquely depleted under LAHGLC condition, accumulated under ATHC and in MTLC remained at the level of the reference ATLC condition. The accumulation of P-transporters was unique, revealing only minor differences between ATLC and ATHC but strong up-regulation in MTLC and down-regulation in LAHGLC. This likely implies that MTLC stores energy surplus in the highly energetic bonds of polyphosphate polymer that can be used under unfavorable growth conditions. It is concluded that the rigor of cell growth in MTLC condition results to a great extent from high intracellular inorganic carbon conditions created upon glucose breakdown and release of CO2, beside the direct utilization of glucose-derived carbon skeletons for growth. This combination provides the MTLC cultures with excellent conditions for growth that often exceeds that of the mere photoautotrophic growth at high CO2.

Dataset Information

Metallosphaera cuprina cultivation on sulfur or yeast extract

Publications

Resolution of carbon metabolism and sulfur-oxidation pathways of Metallosphaera cuprina Ar-4 via comparative proteomics.

Similar Datasets

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