title: Arabidopsis paves the way: genomic and network analyses in crops.
abstract: Arabidopsis genomic and network analyses have facilitated crop research towards the understanding of many biological processes of fundamental importance for agriculture. Genes that were identified through genomic analyses in Arabidopsis have been used to manipulate crop traits such as pathogen resistance, yield, water-use efficiency, and drought tolerance, with the effects being tested in field conditions. The integration of diverse Arabidopsis genome-wide datasets in probabilistic functional networks has been demonstrated as a feasible strategy to associate novel genes with traits of interest, and novel genomic methods continue to be developed. The combination of genome-wide location studies, using ChIP-Seq, with gene expression profiling data is affording a genome-wide view of regulatory networks previously delineated through genetic and molecular analyses, leading to the identification of novel components and of new connections within these networks.
authors.affiliation: Center for Research in Agricultural Genomics CSIC-IRTA-UAB, Barcelona 08034, Spain.
authors.forename: Thilia
authors.initials: T
authors.lastname: Ferrier
authors.forename: José Tomás
authors.initials: JT
authors.lastname: Matus
authors.forename: Jian
authors.initials: J
authors.lastname: Jin
authors.forename: José Luis
authors.initials: JL
authors.lastname: Riechmann
mesh_terms: D017360:Arabidopsis / Q000235:genetics / Q000378:metabolism*; D029681:Arabidopsis Proteins / Q000235:genetics / Q000378:metabolism; D018556:Crops, Agricultural / Q000235:genetics / Q000378:metabolism*; D020869:Gene Expression Profiling; D018506:Gene Expression Regulation, Plant / Q000235:genetics / Q000502:physiology*; D053263:Gene Regulatory Networks
chemical_list: D029681:Arabidopsis Proteins