Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Rapid classification of phenotypic mutants of Arabidopsis via metabolite fingerprinting.

Plant physiology - 1 Apr 2007

Messerli Gaëlle, Partovi Nia Vahid, Trevisan Martine, Kolbe Anna, Schauer Nicolas, Geigenberger Peter, Chen Jychian, Davison Anthony C, Fernie Alisdair R, Zeeman Samuel C

Abstract excerpt

We evaluated the application of gas chromatography-mass spectrometry metabolic fingerprinting to classify forward genetic mutants with similar phenotypes. Mutations affecting distinct metabolic or signaling pathways can result in common phenotypic traits that are used to identify mutants in genetic screens. Measurement of a broad range of metabolites provides information about the underlying processes affected in...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Mutation
Share to Arabidopsis

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Gas Chromatography-Mass Spectrometry

Share to Phenotype

Share to Starch

Source

Open in PubMed Open full text

Identifiers

PMID: 17277092
DOI: 10.1104/pp.106.090795
PMCID: PMC1851843

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Rapid classification of phenotypic mutants of Arabidopsis via metabolite fingerprinting.PMID 17277092Read ↗

Plantmetabolomics.org: mass spectrometry-based Arabidopsis metabolomics--database and tools update.Semantic proximity Read ↗

New connections across pathways and cellular processes: industrialized mutant screening reveals novel associations between diverse phenotypes in Arabidopsis.Semantic proximity Read ↗

Metabolite profiling for plant functional genomics.Semantic proximity Read ↗

Enhancement of plant metabolite fingerprinting by machine learning.Semantic proximity Read ↗

A rapid method to screen for cell-wall mutants using discriminant analysis of Fourier transform infrared spectra.Semantic proximity Read ↗

A trial of phenome analysis using 4000 Ds-insertional mutants in gene-coding regions of Arabidopsis.Semantic proximity Read ↗

Metabolomic Analysis of Natural Variation in Arabidopsis.Semantic proximity Read ↗

An annotated database of Arabidopsis mutants of acyl lipid metabolism.Semantic proximity Read ↗

Classification and identification of Arabidopsis cell wall mutants using Fourier-Transform InfraRed (FT-IR) microspectroscopy.Semantic proximity Read ↗

The genetics of plant metabolism.Semantic proximity Read ↗

Patterns of metabolite changes identified from large-scale gene perturbations in Arabidopsis using a genome-scale metabolic network.Semantic proximity Read ↗

Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.