Literature DB >> 26780102

Genetic diversity, population structure and association analysis in cut chrysanthemum (Chrysanthemum morifolium Ramat.).

Pirui Li1, Fei Zhang1, Sumei Chen1, Jiafu Jiang1, Haibin Wang1, Jiangshuo Su1, Weimin Fang1, Zhiyong Guan1, Fadi Chen2.   

Abstract

Characterizing the genetic diversity present in a working set of plant germplasm can contribute to its effective management and genetic improvement. The cut flower chrysanthemum (Chrysanthemum morifolium Ramat.) is an economically important ornamental species. With the repeated germplasm exchange and intensive breeding activities, it remains a major task in genetic research. The purpose of the present study was to characterize the genetic diversity and the population structure of a worldwide collection of 159 varieties, and to apply an association mapping approach to identify DNA-based markers linked to five plant architecture traits and six inflorescence traits. The genotyping demonstrated that there was no lack of genetic diversity in the collection and that pair-wise kinship values were relatively low. The clustering based on a Bayesian model of population structure did not reflect known variation in either provenance or inflorescence type. A principal coordinate analysis was, however, able to discriminate most of the varieties according to both of these criteria. About 1 in 100 marker pairs exhibited a degree of linkage disequilibrium. The association analysis identified a number of markers putatively linked to one or more of the traits. Some of these associations were robust over two seasons. The findings provide an in-depth understanding of genetic diversity and population structure present in cut flower chrysanthemum varieties, and an insight into the genetic control of plant architecture and inflorescence-related traits.

Entities:  

Keywords:  Association analysis; Chrysanthemum; Linkage disequilibrium; Molecular marker; Population structure

Mesh:

Year:  2016        PMID: 26780102     DOI: 10.1007/s00438-016-1166-3

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


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