In Silico Mining and Characterization of High-Quality SNP/Indels in Some Agro-Economically Important Species Belonging to the Family Euphorbiaceae.

(1) Background: To assess the genetic makeup among the agro-economically important members of Euphorbiaceae, the present study was conducted to identify and characterize high-quality single-nucleotide polymorphism (SNP) markers and their comparative distribution in exonic and intronic regions from the publicly available expressed sequence tags (ESTs). (2) Methods: Quality sequences obtained after pre-processing by an EG assembler were assembled into contigs using the CAP3 program at 95% identity; the mining of SNP was performed by QualitySNP; GENSCAN (standalone) was used for detecting the distribution of SNPs in the exonic and intronic regions. (3) Results: A total of 25,432 potential SNPs (pSNP) and 14,351 high-quality SNPs (qSNP), including 2276 indels, were detected from 260,479 EST sequences. The ratio of quality SNP to potential SNP ranged from 0.22 to 0.75. A higher frequency of transitions and transversions was observed more in the exonic than the intronic region, while indels were present more in the intronic region. C↔T (transition) was the most dominant nucleotide substitution, while in transversion, A↔T was the dominant nucleotide substitution, and in indel, A/- was dominant. (4) Conclusions: Detected SNP markers may be useful for linkage mapping; marker-assisted breeding; studying genetic diversity; mapping important phenotypic traits, such as adaptation or oil production; or disease resistance by targeting and screening mutations in important genes.

Mining and comparative survey of EST-SSR markers among members of Euphorbiaceae family.

Euphorbiaceae represents flowering plants family of tropical and sub-tropical region rich in secondary metabolites of economic importance. To understand and assess the genetic makeup among the members, this study was undertaken to characterize and compare SSR markers from publicly available ESTs and GSSs of nine selected species of the family. Mining of SSRs was performed by MISA, primer designing by Primer3, while functional annotation, gene ontology (GO) and enrichment analysis were performed by Blast2GO. A total 12,878 number of SSRs were detected from 101,701 number of EST sequences. SSR density ranged from 1 SSR/3.22 kb to 1 SSR/15.65 kb. A total of 1873 primer pairs were designed for the annotated SSR-Contigs. About 77.07% SSR-ESTs could be assigned a significant match to the protein database. 3037 unique SSR-FDM were assigned and IPR003657 (WRKY Domain) was found to be the most dominant FDM among the members. 1810 unique GO terms obtained were further subjected to enrichment analysis to obtain 513 statistically significant GO terms mapped to the SSR containing ESTs. Most frequent enriched GO terms were, GO:0003824 for molecular function, GO:0006350 for biological process and GO:0005886 for cellular component, justifying the richness of defensive secondary metabolites and phytomedicine within the family. The results from this study provides tangible insight to genetic make-up and distribution of SSRs. Functional annotation corresponded many genes of unknown functions which may be considered as novel genes or genes responsible for stress specific secondary metabolites. Further studies are required to understand stress specific genes accountable for leveraging the synthesis of secondary metabolites.

Association studies of dormancy and cooking quality traits in direct-seeded indica rice.

Association analysis was applied to a panel of accessions of Assam rice (indica) using 98 SSR markers for dormancy-related traits and cooking quality. Analysis of population structure revealed 10 subgroups in the population. The mean r(2) and D' value for all intrachromosomal loci pairs was 0.24 and 0.51, respectively. Linkage disequilibrium between linked markers decreased with distance. Marker-trait associations were investigated using the unified mixed-model approach, considering both population structure (Q) and kinship (K). Genome-wide scanning, detected a total of seven significant marker-trait associations (P < 0.01), with the R(2) values ranging from 12.0 to 18.0%. The significant marker associations were for grain dormancy (RM27 on chromosome 2), α-amylase activity (RM27 and RM234 on chromosomes 2 and 7, respectively), germination (RM27 and RM106 on chromosome 2), amylose (RM282 on chromosome 3) and grain length elongation ratio (RM142 on chromosome 4). The present study revealed the association of marker RM27 with traits like dormancy, α-amylase activity and germination. Simple correlation analysis of these traits revealed that these traits were positively correlated with each other and this marker may be useful for simultaneous improvement of these traits. The study indicates the presence of novel QTLs for a few traits under consideration. The study reveals association of traits like dormancy, α-amylase activity, germination, amylose content, grain length elongation ratio with SSR markers indicating the feasibility of undertaking association analysis in conjunction with germplasm characterization.