title: Unraveling plant metabolism by EST analysis.
abstract: Large-scale single-pass sequencing of cDNAs prepared from specific plant species or tissues has evolved as an inexpensive and efficient gene-discovery tool that can be used to identify novel cDNAs encoding enzymes of specific plant metabolic pathways. Collections of expressed sequence tags from metabolically active tissues can provide quantitative estimates of gene expression levels and thus are being exploited to unravel plant metabolic and regulatory networks.
authors.affiliation: Department of Botany and Plant Pathology, Michigan State University, East Lansing 48823, USA. ohlrogge@pilot.msu.edu
authors.forename: J
authors.initials: J
authors.lastname: Ohlrogge
authors.forename: C
authors.initials: C
authors.lastname: Benning
mesh_terms: D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling; D018506:Gene Expression Regulation, Plant; D010944:Plants / Q000235:genetics / Q000378:metabolism*