Proteomics

Dataset Information

0

Comparative proteomics of meat-spoiling bacteria predicts drivers for their coexistence on modified atmosphere packaged meat


ABSTRACT: Oxygen and carbon dioxide are common protective gases used in modified atmosphere packaging (MAP) of meat. Within the package, they selectively suppress members of the spoilage microbiome, reshaping it to adapted species concomitantly growing upon MAP. Thus, this species must exhibit adaptation mechanisms to withstand the inhibitory effect of carbon dioxide and oxygen, and cope with selective nutrition on MAP meat. In order to uncover these mechanisms, the typical representative meat-spoiling bacteria Brochothrix (B.) thermosphacta TMW2.2101 and four lactic acid bacteria (LAB) Carnobacterium (C.) divergens TMW2.1577, C. maltaromaticum TMW2.1581, Leuconostoc (L.) gelidum subsp. gelidum TMW2.1618 and L. gelidum subsp. gasicomitatum TMW2.1619 were grown in a meat simulation medium under a controlled, sterile environment, aerated constantly with either air, 100%_N2, 30%_CO2/70%_O2 or 30%_CO2/70%_N2. Growth dynamics were monitored and a label-free quantitative mass spectrometric approach was employed to determine changes within the bacterial proteomes in response to the different gas atmospheres. Revealed bacterial tolerance to modified atmospheres (MA) comprise two possible scenarios: Either bacteria were intrinsically adapted to MA, exhibiting no proteomic regulation of enzymes (L. gelidum subsp. gelidum and gasicomitatum) or, tolerance was provided by varying specific metabolic adaptation (B. thermosphacta, C. divergens, C. maltaromaticum). In detail, metabolic adaptation mechanisms to oxygen comprised an enhanced oxidative stress reduction response, adjustment of the pyruvate metabolism and catabolic oxygen consuming reactions. Adaptation to carbon dioxide was characterized by an upregulation of proteins involved in intracellular pH homeostasis, maintenance of osmotic balance and alteration of the fatty acid composition of the cell membrane. We furthermore predict species-specific strategies for different and preferential carbon source utilization enabling a non-competitive coexistence on meat and resulting in a synergistic spoilage. We conclude that a gas atmosphere containing 30%_CO2/70%_O2 has no inhibitory effect on the analyzed prominent meat-spoiling bacteria whereas 30%_CO2/70%_N2 predictively inhibits C. divergens TMW21577 and B. thermosphacta TMW2.2101 but not the other three species. This gives a mechanistically explanation of their acknowledged status as typical spoilage organisms on packaged meats.

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Leuconostoc Gelidum Subsp. Gelidum Carnobacterium Divergens Brochothrix Thermosphacta Carnobacterium Maltaromaticum Leuconostoc Gelidum Subsp. Gasicomitatum

TISSUE(S): Bacterial Protein

SUBMITTER: Christina Ludwig  

LAB HEAD: Christina Ludwig

PROVIDER: PXD016382 | Pride | 2020-02-05

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
B.thermosphacta.zip Other
BBM_142_P100_02_SAK_001.raw Raw
BBM_142_P100_02_SAK_002.raw Raw
BBM_142_P100_02_SAK_003.raw Raw
BBM_142_P100_02_SAK_004.raw Raw
Items per page:
1 - 5 of 71
altmetric image

Publications

Comparative Proteomics of Meat Spoilage Bacteria Predicts Drivers for Their Coexistence on Modified Atmosphere Packaged Meat.

Kolbeck Sandra S   Ludwig Christina C   Meng Chen C   Hilgarth Maik M   Vogel Rudi F RF  

Frontiers in microbiology 20200214


Besides intrinsic and extrinsic factors such as antagonism for organic substrates or temperature, the storage atmosphere of meat has a high influence on the development of its initial microbiota. Specific modified atmospheres (MAs) selectively suppress growth of aerobic and anaerobic bacteria, thus reshaping the initial microbiota. As some microorganisms are more tolerant to MA, they overgrow competitors and produce metabolites that cause rejection of the product. In order to elucidate responses  ...[more]

Similar Datasets

2022-05-31 | PXD031343 | Pride
2019-02-22 | PXD012823 | Pride
2022-05-20 | PXD031995 | Pride
2016-01-04 | E-GEOD-69743 | biostudies-arrayexpress
| PRJNA603661 | ENA
2021-09-10 | PXD023961 | Pride
2014-01-27 | E-GEOD-37176 | biostudies-arrayexpress
2014-10-08 | E-GEOD-61514 | biostudies-arrayexpress
2011-02-01 | E-GEOD-25220 | biostudies-arrayexpress
2022-02-23 | PXD012112 | Pride