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Abstract Mint oil is a key source of natural flavors with wide industrial applications. Two unbalanced polyploid cultivars named Native (Mentha Spicata L) and Scotch (M. × gracilis Sole) are the main producers of spearmint type oil, which is characterized by high levels of the monoterpenes (−)-carvone and (−)-limonene. These cultivars have been the backbone of spearmint oil production for decades, while breeding and improvement remained largely unexplored, in part, due to sterility in cultivated lines. Here we show that sexual breeding at the diploid level can be leveraged to develop new varieties that produce spearmint type oil, along with the improvement of other important traits. Using field trials and GC-FID oil analysis we characterized plant materials from a public germplasm repository and identified a diploid accession that exhibited 89.5% increase in oil yield, compared to the industry standard, and another that produces spearmint type oil. Spearmint-type oil was present at high frequency in a segregating F2 population (32/160) produced from these two accessions. Field-testing of ten of these F2 lines showed segregation for oil yield and confirmed the production of spearmint-type oil profiles. Two of these lines combined high yield and spearmint-type oil with acceptable analytic and sensory profiles. These results demonstrate that spearmint-type oil can be produced in a diploid background with high yield potential, providing a simpler genetic system for the development of improved spearmint varieties.

Abstract The Targeting Induced Local Lesions in Genomes (TILLING) technology is a reverse genetic strategy broadly applicable to every kind of genome and represents an attractive tool for functional genomic and agronomic applications. It consists of chemical random mutagenesis followed by high-throughput screening of point mutations in targeted genomic regions. Although multiple methods for mutation discovery in amplicons have been described, next-generation sequencing (NGS) is the tool of choice for mutation detection because it quickly allows for the analysis of a large number of amplicons. The aim of the present work was to screen a previously generated sunflower TILLING population and identify alterations in genes involved in several important and complex physiological processes. Twenty-one candidate sunflower genes were chosen as targets for the screening. The TILLING by sequencing strategy allowed us to identify multiple mutations in selected genes and we subsequently validated 16 mutations in 11 different genes through Sanger sequencing. In addition to addressing challenges posed by outcrossing, our detection and validation of mutations in multiple regulatory loci highlights the importance of this sunflower population as a genetic resource.