Metabolomics

Dataset Information

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Seasonal and day/night variations of microbial metabolic functioning in simulated cloud water


ABSTRACT:

Microorganisms maintain metabolic activity in clouds, with recognized impacts on chemical reactivity by contributing to the processing of small organic compounds, radicals and their precursors. However, the conditions in clouds can be highly contrasted (temperature, light, etc), and it remains unknown how these influences microbial metabolism. Here we explored the functioning of microorganisms exposed to typical cloud water conditions through transcriptomics and metabolomics. Mixed cell suspensions of representative microbial isolates from cloud water, composed of a strain of basidiomycetous fungi (Dioszegia hungarica) and three strains of bacteria (Rhodococcus enclensis, Pseudomonas syringae and P. graminis) were prepared in artificial cloud water, and exposed to combined contrasted conditions of temperature (5 vs 17 °C), oxidants (0 vs 250 µM H2O2) and light (dark vs artificial solar light) to mimic cloud conditions during winter night (WN) and summer day (SD). Differential metabolomics and transcriptomics allowed to highlight 25 differently abundant metabolites and 218 differentially expressed genes (DEGs) between these conditions of incubation. In SD: the fungi overexpressed genes of the mitochondrial oxidative phosphorylation chain, fatty acids biosynthesis and succinate assimilation enzymes. the detection by LC-MS of 3 acylcarnitines supports the occurrence of fatty acid transports into the mitochondrion, related with energy production or possibly hydrogen peroxide scavenging. In bacteria, DEGs encoding components of ROS scavenging systems were predominant. In WN: in the yeast, DEGs encoding chaperones, proteins of the ribosome and proteasome were overexpressed, suggesting high protein turnover. For bacteria, protein rescue processes targeting oxidation-sensitive sulphur containing proteins were more expressed, and DL-methionine sulfoxide was detected. Half of the identified bacterial DEG colocalised in 17 clusters suggesting coordinated gene expression. This study demonstrates that eukaryotes and prokaryotes may engage in distinct strategies to survive in clouds depending on environmental conditions.

INSTRUMENT(S): Liquid Chromatography MS - positive - reverse phase

PROVIDER: MTBLS12281 | MetaboLights | 2026-02-12

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
Ec72035.cdf Other
Ec72035_MIX_17C_M3_T0_POS_RB5_1_5032.cdf Other
Ec72036.cdf Other
Ec72036_MIX_17C_M1_T2_POS_RB6_1_5033.cdf Other
Ec72037.cdf Other
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