No abstract

Sorghum is one of the most important food and feed cereal crops and has been gaining industrial importance in recent years for its biofuel, nutraceutical and antioxidant values. A genetic profile variation study was undertaken for the accumulation of phytochemicals in 61 diverse sorghum accessions differing in their growth habitat and grain color through non-targeted Gas Chromatography–Mass Spectrometry (GC-MS/MS) analysis. Mass Spectrometry–Data Independent AnaLysis (MS-DIAL) and MetaboAnalyst identified 221 metabolites belonging to 27 different phytochemicals. Tropical and temperate sorghums were distinct in their metabolic profiles with minimum overlaps, and 51 different metabolites were crucial in differentiating the two groups. Temperate sorghums had the ability to accumulate more of phenolic acids, phytosterols, flavonoids, carotenoids, and tropical sorghums for stress-related amino acids, sugars and fatty acids. Grain-color-based Partial Least Square–Discriminant Analysis (PLS-DA) analysis identified 94 Variable Importance in Projections (VIP) metabolites containing majority of flavonoids, phenylpropanoids and phytosterols. This study identified two sorghum lines (IS 7748 and IS 14861) with rich amounts of antioxidants (catechins and epicatechins) belonging to the group of condensed tannins that otherwise do not accumulate commonly in sorghum. Out of 13 metabolic pathways identified, flavonoid biosynthesis showed the highest expression. This study provided new opportunities for developing biofortified sorghum with enhanced nutraceutical and therapeutics through molecular breeding and metabolic engineering.

No abstract

No abstract

No abstract

Aim: The present study aimed at measuring the genetic diversity of a set of 219 sorghum accessions differing in their grain colour. Methodology: About 219 diverse sorghum lines differing in their grain colour were obtained from National Bureau of Plant Genetics Resources (NBPGR), New Delhi and genotyped using 17 SSR markers. Polymorphism information content (PIC) and allele frequency were determined using PowerMarker V3.25. Clustering and factorial analysis were performed using DARwin 6.0. GenAlex version 6.5 was used to perform Principal Coordinates Analysis (PCoA) and AMOVA. Diversity analysis was performed by using Darwin. Results: Genotyping of 219 sorghum accessions using 17 SSR markers produced a total of 399 alleles with an average PIC value of 0.85 and gene diversity of 0.87. Highest allele frequency was observed for the marker, Xtxp 265 whereas highest major allele frequency was observed in 196 accessions for the marker, Xtxp 278. Diversity analysis divided the 219 accessions into three clusters (1, 2 and 3) and genotypes belonging to same geographical origin were found to be clustered together. Interpretation: SSR marker based genetic diversity analysis grouped 219 sorghum accessions into three clusters. Grouping and clustering of accessions was mostly based on the geographical origins with some exceptions which may be due to cross hybridisation of accessions between countries paving a way for cross gene flow.

No abstract

No abstract