SEEDERS Inc., Daejeon, 34912, Republic of Korea.
National Institute of Crop Science, RDA, Miryang, 50424, Republic of Korea.
Mol Biol Rep. 2019 Aug;46(4):4397-4407. doi: 10.1007/s11033-019-04894-5. Epub 2019 May 31.
Understanding the transition to the reproductive period is important for crop breeding. This information can facilitate the production of novel varieties that are better adapted to local environments or changing climatic conditions. Here, we report the development of a high-density linkage map based on genotyping-by-sequencing (GBS) for the genus perilla. Through GBS library construction and Illumina sequencing of an F population, a total of 9607 single-nucleotide polymorphism (SNP) markers were developed. The ten-group linkage map of 1309.39 cM contained 2518 markers, with an average marker density of 0.56 cM per linkage group (LG). Using this map, a total of six QTLs were identified. These quantitative trait loci (QTLs) are associated with three traits related to flowering time: days to visible flower bud, days to flowering, and days to maturity. Ortholog analysis conducted with known genes involved in the regulation of flowering time among different crop species identified GI, CO and ELF4 as putative perilla orthologs that are closely linked to the QTL regions associated with flowering time. These results provide a foundation that will be useful for future studies of flowering time in perilla using fine mapping, and marker-assisted selection for the development of new varieties of perilla.
了解向生殖期的转变对作物育种很重要。这些信息可以促进生产出更能适应当地环境或不断变化的气候条件的新型品种。在这里，我们报告了基于测序（GBS）的紫苏属高密度连锁图谱的开发。通过 GBS 文库构建和 F 群体的 Illumina 测序，共开发了 9607 个单核苷酸多态性（SNP）标记。包含 2518 个标记的十组连锁图谱，总长度为 1309.39cM，每个连锁群（LG）的平均标记密度为 0.56cM。利用该图谱，共鉴定到 6 个 QTL。这些数量性状位点（QTL）与与开花时间相关的三个性状有关：可见花蕾的天数、开花的天数和成熟的天数。在不同作物物种中与开花时间调控相关的已知基因的同源分析鉴定出 GI、CO 和 ELF4 为与开花时间相关的 QTL 区域紧密连锁的拟紫苏同源物。这些结果为使用精细图谱和标记辅助选择开发紫苏新品种进行紫苏开花时间的后续研究提供了基础。
