Hiroe Sakai

Large-scale development of expressed sequence tag-derived simple sequence repeat markers and diversity analysis in Arachis spp.

Large-scale development of expressed sequence tag simple sequence repeat (EST-SSR) markers was performed in peanut (Arachis hypogaea L.) to obtain more informative genetic markers. A total of 10,102 potential non-redundant EST sequences, including 3,445 contigs and 6,657 singletons, were generated from cDNA libraries of the gynophore, roots, leaves and seedlings. A total of 3,187 primer pairs were designed on flanking regions of SSRs, some of which allowed one and two base mismatches. Among the 3,187 markers generated, 2,540 (80%) were trinucleotide repeats, 302 (9%) were dinucleotide repeats, and 345 (11%) were tetranucleotide repeats. Pre-polymorphic analyses of 24 Arachis accessions were performed using 10% polyacrylamide gels. A total of 1,571 EST-SSR markers showing clear polymorphisms were selected for further polymorphic analysis with a Fluoro-fragment Analyzer. The 16 Arachis accessions examined included cultivated peanut varieties as well as diploid species with the A or B genome. Altogether 1,281 (81.5%) of the 1,571 markers were polymorphic among the 16 accessions, and 366 (23.3%) were polymorphic among the 12 cultivated varieties. Diversity analysis was performed and the genotypes of all 16 Arachis accessions showed similarity coefficients ranging from 0.37 to 0.97.

Structural characterization of copia- type retrotransposons leads to insights into the marker development in a biofuel crop, Jatropha curcas L.

BackgroundRecently, Jatropha curcas L. has attracted worldwide attention for its potential as a source of biodiesel. However, most DNA markers have demonstrated high levels of genetic similarity among and within jatropha populations around the globe. Despite promising features of copia-type retrotransposons as ideal genetic tools for gene tagging, mutagenesis, and marker-assisted selection, they have not been characterized in the jatropha genome yet. Here, we examined the diversity, evolution, and genome-wide organization of copia-type retrotransposons in the Asian, African, and Mesoamerican accessions of jatropha, then introduced a retrotransposon-based marker for this biofuel crop.ResultsIn total, 157 PCR fragments that were amplified using the degenerate primers for the reverse transcriptase (RT) domain of copia-type retroelements were sequenced and aligned to construct the neighbor-joining tree. Phylogenetic analysis demonstrated that isolated copia RT sequences were classified into ten families, which were then grouped into three lineages. An in-depth study of the jatropha genome for the RT sequences of each family led to the characterization of full consensus sequences of the jatropha copia-type families. Estimated copy numbers of target sequences were largely different among families, as was presence of genes within 5 kb flanking regions for each family. Five copia-type families were as appealing candidates for the development of DNA marker systems. A candidate marker from family Jc7 was particularly capable of detecting genetic variation among different jatropha accessions. Fluorescence in situ hybridization (FISH) to metaphase chromosomes reveals that copia-type retrotransposons are scattered across chromosomes mainly located in the distal part regions.ConclusionThis is the first report on genome-wide analysis and the cytogenetic mapping of copia-type retrotransposons of jatropha, leading to the discovery of families bearing high potential as DNA markers. Distinct dynamics of individual copia-type families, feasibility of a retrotransposon-based insertion polymorphism marker system in examining genetic variability, and approaches for the development of breeding strategies in jatropha using copia-type retrotransposons are discussed.

Genome Structure of Jatropha curcas L.

The recent progress in DNA sequencing technology has allowed us to acquire information on the structures of whole genomes of various agronomically important plants in a relatively short period of time. In order to understand the genetic systems carried by Jatropha curcas and to accelerate the process of molecular breeding, comprehensive analyses of genes and the genome of this plant have been conducted using both conventional and advanced technologies, and a large quantity of sequence data has been accumulated. The latest draft sequence of the genome of J. curcas is 297 Mb long, and is presumed to cover 99 % of the gene space, with an average GC content of 33.8 %. By combining with the transcriptome information, a total of 30,203 protein-encoding genes, in addition to the 17,575 transposon-related genes and 2,124 putative pseudogenes, were assigned to the genome. Information on the genomic sequences and genes is available at http://www.kazusa.or.jp/jatropha/.

Genetic Tracing of Jatropha curcas L. from Its Mesoamerican Origin to the World

Jatropha curcas L. (Jatropha), a shrub species of the family Euphorbiaceae, has been recognized as a promising biofuel plant for reducing greenhouse gas emissions. However, recent attempts at commercial cultivation in Africa and Asia have failed because of low productivity. It is important to elucidate genetic diversity and relationship in worldwide Jatropha genetic resources for breeding of better commercial cultivars. Here, genetic diversity was analyzed by using 246 accessions from Mesoamerica, Africa and Asia, based on 59 simple sequence repeat markers and eight retrotransposon-based insertion polymorphism markers. We found that central Chiapas of Mexico possesses the most diverse genetic resources, and the Chiapas Central Depression could be the center of origin. We identified three genetic groups in Mesoamerica, whose distribution revealed a distinct geographic cline. One of them consists mainly of accessions from central Chiapas. This suggests that it represents the original genetic group. We found two Veracruz accessions in another group, whose ancestors might be shipped from Port of Veracruz to the Old World, to be the source of all African and Asian Jatropha. Our results suggest the human selection that caused low productivity in Africa and Asia, and also breeding strategies to improve African and Asian Jatropha. Cultivars improved in the productivity will contribute to expand mass commercial cultivation of Jatropha in Africa and Asia to increase biofuel production, and finally will support in the battle against the climate change.