AUTHOR=Ravi Samathmika , Campagna Giovanni , Della Lucia Maria Cristina , Broccanello Chiara , Bertoldo Giovanni , Chiodi Claudia , Maretto Laura , Moro Matteo , Eslami Azam Sadat , Srinivasan Subhashini , Squartini Andrea , Concheri Giuseppe , Stevanato Piergiorgio TITLE=SNP Alleles Associated With Low Bolting Tendency in Sugar Beet JOURNAL=Frontiers in Plant Science VOLUME=12 YEAR=2021 URL=https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2021.693285 DOI=10.3389/fpls.2021.693285 ISSN=1664-462X ABSTRACT=

The identification of efficient molecular markers related to low bolting tendency is a priority in sugar beet (Beta vulgaris L.) breeding. This study aimed to identify SNP markers associated with low bolting tendency by establishing a genome-wide association study. An elaborate 3-year field trial comprising 13 sugar beet lines identified L14 as the one exhibiting the lowest bolting tendency along with an increased survival rate after autumnal sowing. For SNP discovery following phenotyping, contrasting phenotypes of 24 non-bolting and 15 bolting plants of the L14 line were sequenced by restriction site-associated DNA sequencing (RAD-seq). An association model was established with a set of 10,924 RAD-based single nucleotide polymorphism (SNP) markers. The allelic status of the most significantly associated SNPs ranked based on their differential allelic status between contrasting phenotypes (p < 0.01) was confirmed on three different validation datasets comprising diverse sugar beet lines and varieties adopting a range of SNP detection technologies. This study has led to the identification of SNP_36780842 and SNP_48607347 linked to low bolting tendency and can be used for marker-assisted breeding and selection in sugar beet.