AI Article Synopsis

  • * Chrysanthemum morifolium faces challenges in genetic analysis and breeding due to its autohexaploid nature and high genome heterogeneity, prompting the development of a more manageable model strain called Gojo-0 from the diploid C. seticuspe.
  • * Gojo-0 is advantageous for genetic studies and breeding as it allows for the isolation of mutants and easier genome analysis, enabling further research and genetic improvements in chrysanthemum cultivars.

Article Abstract

Asteraceae is the largest family of angiosperms, comprising approximately 24,000 species. Molecular genetic studies of Asteraceae are essential for understanding plant diversity. Chrysanthemum morifolium is the most industrially important ornamental species in Asteraceae. Most cultivars of C. morifolium are autohexaploid and self-incompatible. These properties are major obstacles to the genetic analysis and modern breeding of C. morifolium. Furthermore, high genome heterogeneity complicates molecular biological analyses. In this study, we developed a model strain in the genus Chrysanthemum. C. seticuspe is a diploid species with a similar flowering property and morphology to C. morifolium and can be subjected to Agrobacterium-mediated transformation. We isolated a natural self-compatible mutant of C. seticuspe and established a pure line through repeated selfing and selection. The resultant strain, named Gojo-0, was favorable for genetic analyses, including isolation of natural and induced mutants, and facilitated molecular biological analysis, including whole genome sequencing, owing to the simplicity and homogeneity of its genome. Interspecific hybridization with Chrysanthemum species was possible, enabling molecular genetic analysis of natural interspecific variations. The accumulation of research results and resources using Gojo-0 as a platform is expected to promote molecular genetic studies on the genus Chrysanthemum and the genetic improvement of chrysanthemum cultivars.

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Source
http://dx.doi.org/10.1016/j.plantsci.2019.110174DOI Listing

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