title: Lens culinaris Medik. seed proteome: analysis to identify landrace markers.
abstract: Unlike modern cultivars selected for their growth performances in specific environmental conditions, local landraces have a high genetic variability that is an important resource for plant breeding. Consequent to their high adaptation to different environmental conditions, these landraces may have evolved adaptive gene complexes To promote the survival of endangered lentil landraces, we previously investigated the genetic relationship between two ancient landraces cultivated in the Molise region (Capracotta and Conca Casale, south-central Italy) and widely spread commercial varieties using an integrated approach consisting of morphological, DNA and protein characterization. In the present study, we used a proteomic approach to compare the mature seed proteomes of the Capracotta and Conca Casale lentil landraces. Multivariate analysis of 145 differentially expressed protein spots demonstrated that 52 proteins are required to discriminate among the two landraces. Therefore, these 52 proteins can be considered "landrace markers". The results of this study show that the combination of proteomics and multivariate analysis can be used to identify physiological and/or environmental markers, and is thus a powerful tool that complements the analysis of biodiversity in plant ecotypes.
authors.affiliation: Dipartimento di Bioscienze e Territorio, Università del Molise, 86090 Pesche (Isernia), Italy.
authors.forename: Manuela
authors.initials: M
authors.lastname: Ialicicco
authors.forename: Vincenzo
authors.initials: V
authors.lastname: Viscosi
authors.forename: Simona
authors.initials: S
authors.lastname: Arena
authors.forename: Andrea
authors.initials: A
authors.lastname: Scaloni
authors.forename: Dalila
authors.initials: D
authors.lastname: Trupiano
authors.forename: Mariapina
authors.initials: M
authors.lastname: Rocco
authors.forename: Donato
authors.initials: D
authors.lastname: Chiatante
authors.forename: Gabriella S
authors.initials: GS
authors.lastname: Scippa
mesh_terms: D015415:Biomarkers; D016000:Cluster Analysis; D015180:Electrophoresis, Gel, Two-Dimensional; D027806:Lens Plant / Q000378:metabolism* / Q000502:physiology; D015999:Multivariate Analysis; D010940:Plant Proteins / Q000302:isolation & purification* / Q000378:metabolism; D020543:Proteome; D040901:Proteomics; D012639:Seeds / Q000378:metabolism* / Q000502:physiology; D013045:Species Specificity; D013312:Stress, Physiological
chemical_list: D015415:Biomarkers; D010940:Plant Proteins; D020543:Proteome