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PXD031343

PXD031343 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleImpact of modified atmospheres on growth and metabolism of meat-spoilage relevant Photobacterium spp. as predicted by comparative proteomics
DescriptionModified atmosphere packaging (MAP) is a common strategy to selectively prevent the growth of certain species of meat spoiling bacteria. While studies on the effectiveness of MAP are still scarce on a putative control over the population of photobacteria detected as meat spoilers, they could develop means to enhance safety and quality of raw meat. This study aims to determine the impact on photobacteria of two modified atmospheres: with high oxygen concentration (red and white meats), and free oxygen MAP (white meats and seafood). We have conducted growth experiments of the two main species found on meat, Photobacterium carnosum (P.) and P. phosphoreum, on a meat simulation media under different gas mixtures of nitrogen, oxygen and carbon dioxide representing air-, high oxygen- and vacuum-like conditions with and without carbon dioxide present. Growth was monitored based on optical density, and samples were taken during exponential growth for a comparative proteomic analysis that allowed the determination of the effects of the different gases and their synergy. Growth under air atmosphere appears optimal particularly for P. carnosum, with enhancement of energy metabolism, respiration, oxygen consuming reactions, and a predicted preference for lipids as carbon source. However, all the other atmospheres show some degree of growth reduction. An increase in oxygen concentration leads to an increase in enzymes counteracting oxidative stress for both species, and enhancement of heme utilization and iron-sulfur cluster assembly proteins for P. phosphoreum. Absence of oxygen appears to switch the metabolism towards fermentative pathways, where either ribose (P. phosphoreum), or glycogen (P. carnosum) appear to be the preferred substrates. Additionally, it promotes the use of alternative electron donors/acceptors, mainly formate and nitrate/nitrite. Stress response is manifested as enhanced expression of enzymes able to produce ammonia (e.g. carbonic anhydrase, hydroxylamine reductase) and regulate osmotic stress. Our results suggest that photobacteria do not sense the environmental levels of carbon dioxide but rather adapt to their own anaerobic metabolism. The regulation in presence of carbon dioxide is limited and strain-specific under anaerobic conditions. However, when oxygen at air-like concentration is present together with carbon dioxide the oxidative stress appears enhanced compared to air conditions (very low carbon dioxide), explained if both gases have a synergistic effect. This is further supported by the increase in oxygen concentration in presence of carbon dioxide. The atmosphere is able to fully inhibit P. carnosum, heavily reduce P. phosphoreum growth in vitro and trigger diversification of energy production with higher energetic cost, highlighting the importance of concomitant bacteria for their growth on raw meat under said atmosphere.
HostingRepositoryPRIDE
AnnounceDate2023-05-14
AnnouncementXMLSubmission_2023-05-14_14:52:06.938.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChristinaLudwig
SpeciesList scientific name: Photobacterium carnosum; NCBI TaxID: 2023717; scientific name: Photobacterium phosphoreum; NCBI TaxID: 659;
ModificationListiodoacetamide derivatized residue
InstrumentQ Exactive HF-X
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-01-30 14:32:35ID requested
12022-05-31 02:36:36announced
22023-05-14 14:52:07announced2023-05-14: Updated project metadata.
Publication List
Dataset with its publication pending
Keyword List
ProteomeXchange project tag: EPIC-XS
submitter keyword: proteomics, modified atmosphere packaging (MAP), spoilage, meat,Photobacterium
Contact List
ChristinaLudwig
contact affiliationBavarian Center for Biomolecular Mass Spectrometry (BayBioMS) Technical University Munich (TUM) Gregor-Mendel-Straße 4 85354 Freising
contact emailtina.ludwig@tum.de
lab head
ChristinaLudwig
contact affiliationTU Munich
contact emailtina.ludwig@tum.de
dataset submitter
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