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SUMMARY:A Novel Workflow for Deep Metabolome Annotation and Interpretation
  in Lemna minor
DTSTART;VALUE=DATE-TIME:20260929T091500Z
DTEND;VALUE=DATE-TIME:20260929T093000Z
DTSTAMP;VALUE=DATE-TIME:20260916T060944Z
UID:indico-contribution-2897@cern.ch
DESCRIPTION:Speakers: MI ZHANG (RG Assimilate Allocation and NMR (AAN)\, L
 eibniz-Institute of Plant Genetics and Crop Plant Research (IPK))\n*Lemna 
 minor* of the Lemnaceae (aka duckweeds) family is a superior model for inv
 estigating plant-microbe interactions. We designed a project\, which aims 
 to quantify the effects of a synthetic bacterial community across the larg
 est genotype × environmental stress matrix (6\,480 combinations) examined
  in a plant–microbe study to date. Multi-omics (metabolome\, transcripto
 me\, ionome\, and phenome) studies will be applied to understand how micro
 bes affect stress resilience and growth performance of 30 genome-resolved 
 *L. minor* genotypes. In this report\, we present a novel metabolomics wor
 kflow for deep metabolome annotation and interpretation in *L. minor*. The
  workflow integrates complementary LC–MS data processing\, statistical p
 rioritization of biologically relevant features\, multi-layer metabolite a
 nnotation\, confidence-level labeling\, and pathway-based interpretation. 
 Metabolite annotation combines MS/MS spectral library matching\, fragmenta
 tion-based annotation\, and spectral similarity or metabolic relationship-
 based approaches. These results are harmonized into an automated confidenc
 e-ranking system spanning confirmed structures to unknown features. As a c
 ase study\, the workflow was applied to two *L. minor* genotypes with cont
 rasting growth performance. Our analysis detected thousands of metabolic f
 eatures\, including a subset of high-confidence annotations. Initial analy
 ses identified broad metabolic differences between the two model genotypes
  involving amino acid and nitrogen\, phenylpropanoid/flavonoid\, carbon an
 d energy\, lipid\, and pigment-associated metabolism. Although the biologi
 cal interpretation is ongoing\, we can conclude that the novel workflow of
 fers a promising approach to automate deep\, evidence-based metabolome ann
 otation\, as well as providing a flexible foundation for future research i
 nto duckweed metabolomics and the plant-microbiome relationship.\n\nhttps:
 //indico.unina.it/event/117/contributions/2897/
LOCATION:Department of Agricultural Sciences of the University of Napoli F
 ederico II\, Portici\, Italy Sala Cinese
URL:https://indico.unina.it/event/117/contributions/2897/
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