#14 Linkage and QTL mapping analysis in autopolyploids species скачать в хорошем качестве

#14 Linkage and QTL mapping analysis in autopolyploids species

Today's episode explains linkage and QTL mapping analysis in autopolyploid species, which are plants with more than two sets of chromosomes from the same ancestral source. We detail the methodology for genetic data analysis in plant breeding, covering topics like molecular markers, genotyping techniques (including NGS-based and non-NGS-based methods like mass spectrometry and chip arrays), and genotype calling. It further discusses linkage analysis to construct genetic maps by estimating recombination frequencies, often utilizing Hidden Markov Models (HMM) for noisy data. Finally, the we explore Quantitative Trait Loci (QTL) mapping, applying fixed-effect and random-effect models to identify genomic regions associated with specific traits, demonstrating how QTL contribute to phenotypic variation, as exemplified by dry matter content in sweetpotato.