title: Diatomics: toward diatom functional genomics.
abstract: For diatom biologists one of the most interesting research areas over the next years will be in linking mathematical models for pattern formation with information derived from molecular genetic, biochemical, and physiological studies. A major goal of this research is to exploit diatom proficiency in biogenic silica formation to develop strategies for bio-inspired nanofabrication of silicon based materials. Development of high-throughput methods for the functional analysis of diatom genes is a key step toward this goal. In this article we review the different techniques available to investigate gene and protein function in diatoms. Furthermore, to make diatom research as effective as possible the research community must address the question of which diatom species should be developed as a model. Choice of a diatom model organism should be made on the basis of several criteria, such as the ease of genetic manipulation, ecological relevance, or biomineralization capability. Phaeodactylum tricornutum is one of the principal three species that are candidates for such a model. For this species we have accomplished the first large-scale analysis of 12000 expressed sequence tags (ESTs) and have organized it in a queryable database, Phaeodactylum tricornutum database (PtDB). A summary of the functional analysis of this EST collection is presented, and genes of particular interest are highlighted.
authors.affiliation: Laboratory of Molecular Plant Biology, Stazione Zoologica Anton Dohrn, Villa Comunale, I-80121 Naples, Italy.
authors.forename: Anton
authors.initials: A
authors.lastname: Montsant
authors.forename: Uma
authors.initials: U
authors.lastname: Maheswari
authors.forename: Chris
authors.initials: C
authors.lastname: Bowler
authors.forename: Pascal J
authors.initials: PJ
authors.lastname: Lopez
mesh_terms: D002874:Chromosome Mapping; D017377:Diatoms / Q000235:genetics* / Q000378:metabolism*; D005786:Gene Expression Regulation / Q000502:physiology*; D023281:Genomics / Q000379:methods*; D020543:Proteome / Q000235:genetics* / Q000378:metabolism*
chemical_list: D020543:Proteome