학술논문

Molecular Characterization of Jatropha curcas Resources and Identification of Population-Specific Markers
Document Type
Academic Journal
Source
BioEnergy Research. March 2012, Vol. 5 Issue 1, p215, 10 p.
Subject
Single nucleotide polymorphisms -- Genetic aspects
Petroleum, energy and mining industries
Genetic aspects
Language
English
ISSN
1939-1234
Abstract
Jatropha curcas L. is cited as one of the best candidates for future oil and biodiesel production. It is widespread in many tropical and subtropical countries but has not yet received much genetic improvement. The objective of this study was to collect Jatropha germplasm and characterize it with molecular markers. A total of 64 genotypes, collected from seven geographic locations on two continents, were analyzed with 32 simple sequence repeat and two candidate gene-specific primers (ISPJ-1 gene and Curcin-P2 gene promoter). In general, markers were found to be highly conserved, and many (40%) were monomorphic in the studied populations. Polymorphic primers, which amplified population-specific fragments, were identified. The polymorphic information content of the polymorphic markers ranged from 0.03 to 0.47. Genetic similarity analysis identified two distinct groups at 0.73 DICE similarity coefficient. Group I included germplasm collected from the islands of Cuba and Cape Verde, and group II consisted of Brazil, Mozambique, and Senegal populations. Island genotypes were found to be very distinct compared to their mainland counterparts. Sequencing of monomorphic fragments identified single nucleotide polymorphism (SNP) between these two groups. High-resolution melting analysis of the SNP in the Jcps9 locus further confirmed the two gene pools. Sequencing of polymorphic fragments of the Jc03 locus identified a deletion in a (GT).sub.4 repeat motif in the genotypes in group II. Several population-specific microsatellites and SNP markers have been recognized. The distinct Jatropha genotypes and the population-specific molecular markers identified in this study will be valuable resources in breeding programs.
Author(s): Anna Ricci [sup.1], Konstantin Chekhovskiy [sup.2], Perumal Azhaguvel [sup.2], Emidio Albertini [sup.1], Mario Falcinelli [sup.1], Malay Saha [sup.2] Author Affiliations: (1) grid.9027.c, 0000000417573630, Department of Applied Biology, University of [...]