Abstract
Background The Cucurbita genus contains important economic crops in the world, while limited molecular markers have been developed in the past years. Simple sequence repeats (SSR) markers are powerful tools for the study of genetic mapping construction, genetic diversity analysis and genome wide association. The availability of pumpkin genome information has made it possible to analyze SSRs in genome wide across three Cucurbita species. Results In this paper, based on the whole genome sequences, 34,375 SSR loci were found in C. moschata, 30,577 SSR loci were found in C. maxima and 38,104 SSR loci were found in C. pepo. C. pepo has the maximum density of SSRs with an average of 145 SSR/Mb. In general, the frequency in total SSR loci decreased with the increase of the motif length, dinucleotide motifs were the most common motifs in the three species, and for the same repeat types, the SSR frequency decreased sharply with the increase of the repeat number. Most of those SSR loci were suitable for marker development (84.75% in C. moscata, 94.53% in C. maxima and 95.09% in C. pepo). Based on those markers, we compared and analyzed the cross-species SSR markers between C. pepo and other Cucurbitaceae species by silico-PCR. Using these cross-species primers, the high collinear relationships between C. pepo and the other two species were detected, respectively. Furthermore, the application of SSR markers in genetic diversity analysis was tested in C. pepo, the results showed that they were good tools to be used in genetic diversity analysis. Conclusion In this study, the genome wide SSR markers were detected from three Cucurbita species, and some of their applications were proved by comparative genomics and genetic diversity analysis. The large number of genome-wide SSR markers and crossspecies markers would promote the basic and applied studies of Cucurbita species, such as gene mapping, QTLs mapping, comparative genomics and marker-assisted breeding.
Genome wide characterization of simple sequence repeats in watermelon genome and their application in comparative mapping and genetic diversity analysis
