Development of Novel Coconut SSR Markers Derived From Genome-Wide Bioinformatics Prediction

Abstract

In the past, simple sequence repeat (SSR) marker development in coconut is achieved through microsatellite probing in bacterial artificial chromosome (BAC) clones or using previously developed SSR markers from closely related genomes. These coconut SSR markers are publicly available in published literatures and online databases; however, the number is quite limited. Here, we used a locally established, coconut genome-wide SSR prediction bioinformatics pipeline to generate a vast amount of coconut SSR markers. A total of 7,139 novel SSR markers were derived from the genome assembly of coconut ‘Catigan Green Dwarf’ (CATD). A subset of the markers, amounting to 131, were selected for synthesis based on motif filtering, contig distribution, product size exclusion, and success of in silico PCR in the CATD genome assembly. OligoAnalyzer-tool was also employed using the following desired parameters: %GC: 40–60%; minimum ΔG value for hairpin loop: -0.3 kcal/mol; minimum ΔG value for self-dimer: -0.9 kcal/mol; and minimum ΔG value for hetero-dimer: -0.9 kcal/mol. We have successfully synthesized, optimized, and amplified 131 novel SSR markers in coconut using ‘Catigan Green Dwarf’ (CATD), ‘Laguna Tall’ (LAGT), ‘West African Tall’ (WAT), and SYNVAR (LAGT x WAT) genotypes. Of the 131 SSR markers, 113 were polymorphic among the analyzed coconut genotypes. The development of novel SSR markers for coconut will serve as a valuable resource for mapping of quantitative trait loci (QTLs), assessment of genetic diversity and population structure, hybridity testing, and other marker-assisted plant breeding applications.