Genetic variability revealed by microsatellite markers in a germplasm collection of Jatropha curcas L. in Brazil: an important plant for biofuels

Abstract

We evaluated the genetic variability of a collection of Jatropha curcas germplasm, represented by 93 accessions, using microsatellite markers. Among the 60 markers tested, five of them detected polymorphisms, with a total of 11 alleles and mean of 2.2 alleles per loci. These five markers enabled the quantification of genetic variability through estimates of expected (He=0.42) and observed (Ho=0.64) heterozygosity, Shannon-Weaver index (H'=0.62), coefficient of inbreeding (ƒ=-0.44) and the formation of 11 clusters. Simultaneously, 14 accessions randomly sampled among the 93 and represented by seven plants each, were analyzed with these same five markers to quantify the within and between variability. Most of the genetic variation (92.58%) was contained within the accessions. These analyses revealed, for the first time, expressive genetic variability to be explored in this collection. The accessions UFVJC 05, 07, 12, 18, and 53 presented expressive variability among them with potential for the constitution of a base population for the breeding program.

WIDE GENETIC VARIABILITY WITHIN AND AMONG FAMILIES IN A GERMPLASM COLLECTION OF Jatropha curcas L. AS REVEALED BY MICROSATELLITE MARKERS

“…The formation of 11 clusters by UPGMA based on Nei's genetic distance matrix shows wide variability among the families of the collection, as previously reported by Freitas et al (2011) andFreitas et al (2016), using morphoagronomic and grain yield data, and by Souza et al (2019) using SSR markers. Most of the accessions evaluated come from the North region of the state of Minas Gerais, corroborating the idea of this region as a secondary center of diversity of the species, as proposed by Dias et al (2012).…”

“…The germplasm collection of J. curcas of UFV was confirmed to have high variability through morpho-agronomic and yield characteristics (Freitas et al, 2011;Freitas et al, 2016) and through microsatellite markers (Souza et al, 2019). However, this last study with microsatellite markers considered only one plant per accession, evaluating only the diversity among 93 accessions.…”

“…The control families are representatives of the genotypes most planted in Brazil. For genetic-molecular evaluation within and among families of the Collection, 28 families considered as most divergent were selected, as reported by Souza et al (2019). It is noteworthy that Souza et al (2019) evaluated the variability among 93 families of this same Collection.…”

“…For genetic-molecular evaluation within and among families of the Collection, 28 families considered as most divergent were selected, as reported by Souza et al (2019). It is noteworthy that Souza et al (2019) evaluated the variability among 93 families of this same Collection. In the present study, each family was represented by seven plants chosen at random among the 16 available, together with three plants from the control families, for a total of 187 plants evaluated.…”

“…Several studies on genetic diversity in J. curcas using SSR markers have been conducted (Sudheer Pamidimarri et al, 2009;Rosado et al, 2010;Wen et al, 2010;Na-ek et al, 2011;Bressan et al, 2012;Pecina-Quintero et al, 2014;Salvador-Figueroa et al, 2014;Alves et al, 2015;Sinha et al, 2015;Santos et al, 2016;Ribeiro et al, 2017;Vásquez-Mayorga et al, 2017;Gangapur et al, 2018;Souza et al, 2019).…”