Peanut variety identification is essential for protecting the intellectual property rights of researchers, ensuring quality management for producers, and safeguarding the interests of seed production stakeholders. In this research, we developed a molecular marker set for peanut variety identification using single nucleotide polymorphism (SNP) markers. We used genotyping data and selection procedures, including decision tree and optimal combination selection, to identify a minimal set of informative SNP sites. These SNPs were then converted into Kompetitive allele-specific PCR (KASP) markers. We selected a subset of 14 informative SNPs from a pool of 22 candidate markers, representing the minimum number of combinations required to distinguish cultivars. SNPs obtained from the microarrays were converted to KASP markers and then evaluated across 51 peanut varieties. The developed marker set, which consists of a minimal number of markers, is expected to be a rapid and cost-effective tool for peanut variety identification.
Quantification of potato glycoalkaloids (PGA) exerting toxicity to humans has some limits if applied to potato breeding populations on a large scale due to its high cost and time consumption. The aim of this study was to investigate key genes involved in PGA biosynthesis and their tuber expression patterns in two potato cultivars, Atlantic with low PGA content (18.6 mg/100g FW) and Haryoung with high PGA content (40.1 mg/100g FW), and to test the utility of these PGA gene transcript levels as selectable markers in potato breeding program. Pot grown potato plants of both ‘Atlantic’ and ‘Haryoung’ were exposed to drought stress where the transcript accumulation of 3-hydroxy-3-methylglutaryl coenzyme A reductase 1 (
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