Metabolomics

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The timing of bacterial mesophyll infection shapes the leaf chemical landscape during the interaction


ABSTRACT:

Chemistry in eukaryotic intercellular spaces is shaped by both hosts and symbiotic microorganisms such as bacteria. Pathogenic microorganisms like barley associated Xanthomonas translucens (Xt) swiftly overtake the inner leaf tissue becoming the dominant microbial community member during disease development. The dynamic metabolic changes due to Xt pathogenesis in the mesophyll spaces remain unknown. Genomic group I of Xt consists of 2 barley-infecting lineages: pathovar translucens (Xtt) and pathovar undulosa (Xtu). Xtu and Xtt, although genomically distinct, cause similar water-soaked lesions. To define the metabolic signals associated with inner leaf colonization, we used untargeted metabolomics to characterize Xtu and Xtt metabolism signatures associated with mesophyll growth. We found that mesophyll apoplast fluid from infected tissue yielded a distinct metabolic profile and shift from catabolic to anabolic processes over time compared to water-infiltrated control. The pathways with the most differentially expressed metabolites by time were glycolysis, tricarboxylic acid cycle, sucrose metabolism, pentoses interconversion, amino acids, galactose, and purine metabolism. Hierarchical clustering and principal components analysis showed that metabolic changes were more affected by the time point rather than by the individual colonization of the inner leaves by Xtt compared to Xtu. Overall, in this study, we identified metabolic pathways that explain carbon and nitrogen usage during host-bacterial interactions over time for mesophyll tissue colonization. This foundational research provides initial insights into shared metabolic strategies of inner leaf colonization niche occupation by related but phylogenetically distinct phyllosphere bacteria.

INSTRUMENT(S): Gas Chromatography MS -

SUBMITTER: Veronica Roman-Reyna 

PROVIDER: MTBLS7676 | MetaboLights | 2024-02-01

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS7676 Other
FILES Other
a_MTBLS7676_GC-MS___metabolite_profiling.txt Txt
i_Investigation.txt Txt
m_MTBLS7676_GC-MS___metabolite_profiling_v2_maf.tsv Tabular
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