High level of molecular and phenotypic biodiversity in Jatropha curcas from Central America compared to Africa, Asia and South America

The main bottleneck to elevate jatropha (Jatropha curcas L.) from a wild species to a profitable biodiesel crop is the low genetic and phenotypic variation found in different regions of the world, hampering efficient plant breeding for productivity traits. In this study, 182 accessions from Asia (91...

Full description

Saved in:
Bibliographic Details
Published in:BMC plant biology 2014-03, Vol.14 (1), p.77-77
Main Authors: Montes Osorio, Luis Rodolfo, Torres Salvador, Andres Fransisco, Jongschaap, Raymond Elmar Etienne, Azurdia Perez, Cesar Augusto, Berduo Sandoval, Julio Ernesto, Trindade, Luisa Miguel, Visser, Richard Gerardus Franciscus, van Loo, Eibertus Nicolaas
Format: Article
Language:English
Subjects:
aflp
Africa
Amplified Fragment Length Polymorphism Analysis
Asia
Biodiversity
biofuel plant
Cluster Analysis
genetic diversity
germplasm collection
Jatropha
Jatropha - classification
Jatropha - genetics
Jatropha curcas
l. accessions
leaf-area
markers
Microsatellite Repeats - genetics
net assimilation rate
Phylogeny
Plant Proteins - classification
Plant Proteins - genetics
relative growth-rate
South America
variability
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The main bottleneck to elevate jatropha (Jatropha curcas L.) from a wild species to a profitable biodiesel crop is the low genetic and phenotypic variation found in different regions of the world, hampering efficient plant breeding for productivity traits. In this study, 182 accessions from Asia (91), Africa (35), South America (9) and Central America (47) were evaluated at genetic and phenotypic level to find genetic variation and important traits for oilseed production. Genetic variation was assessed with SSR (Simple Sequence Repeat), TRAP (Target Region Amplification Polymorphism) and AFLP (Amplified fragment length polymorphism) techniques. Phenotypic variation included seed morphological characteristics, seed oil content and fatty acid composition and early growth traits. Jaccard's similarity and cluster analysis by UPGM (Unweighted Paired Group Method) with arithmetic mean and PCA (Principle Component Analysis) indicated higher variability in Central American accessions compared to Asian, African and South American accessions. Polymorphism Information Content (PIC) values ranged from 0 to 0.65. In the set of Central American accessions. PIC values were higher than in other regions. Accessions from the Central American population contain alleles that were not found in the accessions from other populations. Analysis of Molecular Variance (AMOVA; P 
ISSN:1471-2229
1471-2229
DOI:10.1186/1471-2229-14-77