Molecular characterization of intra-population variability of Jatropha curcas L. using DNA based molecular markers

Abstract

Jatropha curcas L. (Euphorbiaceae) has acquired a great importance as a renewable source of energy with a number of environmental benefits. Very few attempts were made to understand the extent of genetic diversity of J. curcas germplasm. In the present study, efforts were made to analyze the genetic diversity among the elite germplasms of J. curcas, selected on the basis of their performance in field using random amplified polymorphic DNA (RAPD), amplified fragment length polymorphism (AFLP) and simple sequence repeats (SSR). The plants were selected on the basis of height, canopy circumference, number of seeds per fruit, weight of 100 seeds, seed yield in grams per plant and oil content. Out of 250 RAPD (with 26 primers), 822 AFLP (with 17 primers) and 19 SSR band classes, 141, 346 and 7 were found to be polymorphic, respectively. The percentage polymorphism among the selected germplasms using RAPD, AFLP and SSR was found to be 56.43, 57.9, and 36.84, respectively. The Jaccard's similarity coefficient was found 0.91, 0.90 and 0.91 through RAPD, AFLP and SSR marker systems, respectively. Principle component analysis (PCA) and dendrogarm analysis of genetic relationship among the germplasm using RAPD, AFLP and SSR data showed a good correlation for individual markers. The germplasm JCC-11, 12, 13, 14 and 15 whose yield found to be high were clustered together in dendrogram and PCA analysis though JCC11 is geographically distinct from others. In overall analysis JCC6 (in RAPD), JCC8 (in AFLP) and JCC 6 and JCC10 (in SSR) were found genetically diverse. Characterization of geographically distinct and genetically diverse germplasms with varied yield characters is an important step in marker assisted selection (MAS) and it can be useful for breeding programs and QTL mapping.

High genetic diversity of Jatropha curcas assessed by ISSR

“…The genetic diversity found in the present study was greater than that reported in studies conducted in China (Shen et al, 2010), Malaysia (Sun et al, 2008), India (Mastan et al, 2012), Taiwan (Mavuso et al, 2016), Thailand (Sirisak et al, 2015), and even studies conducted in other germplasm banks in Brazil (Rosado et al, 2010;Grativol et al, 2011;LiraMedeiro et al, 2013;Alves et al, 2013). The genetic diversity among groups analyzed by the Nei's index (1987) was significantly higher (0.12) than that found among Chinese accessions (0.19) as reported by Cai et al (2010).…”

Molecular characterization and genetic diversity ofJatropha curcasL. in Costa Rica

“…Genetic improvement may alleviate this problem; however, characterization of the available germplasm is needed for breeding programs to be efficient (King et al, 2015; Mastan et al, 2012). Over the past decade, J. curcas germplasm has been genetically evaluated in India, China, Brazil, Mexico, Costa Rica and Central America (Avendaño et al, 2015; Basha & Sujatha, 2007; China Plant BOL Group et al, 2011; Montes Osorio et al, 2014; Pecina-Quintero et al, 2014; Rosado et al, 2010; Wen et al, 2010).…”

Genetic variability in Jatropha curcas L. from diallel crossing

“…Lower percentage of polymorphism was obtained by He et al (2007) and Cai et al (2010) using ISSR; however, it was higher than that reported by Machua et al (2011), of 55.33%, using RAPD. Additional information was reported by Mastan et al (2012), who obtained polymorphism of 56.43, 57.9, and 36.84, using RAPD, AFLP, and SSR, respectively. The optimum number of loci for the obtainment of genetic estimation accuracy is 103 polymorphic fragments for a stress of 0.0097, and the optimum correlation (r) is 0.9962.…”