Abstract

Clivia is a genus of great horticultural importance and has been widely cultivated as ornamental plants in all over the world. In order to assess the phylogenetic relationships and genetic diversity of the wild Clivia species and cultivars, we isolated AC-enriched repeats using FIASCO from a single clone each of C. miniata Regel. and Clivia nobilis Lindl. Of the fourteen repeats, 10 were polymorphic and 4 were monomorphic. The polymorphic marker loci were characterized using 61 Clivia accessions. The number of alleles ranged from two to six, observed heterozygosity ranged from 0.04 to 1.00 and expected heterozygosity ranged from 0.04 to 0.83. These microsatellite marker loci provide tools for future studies of Clivia species and cultivars.

Highlights

  • IntroductionTo gain a better understanding of the phylogenetic relationships within the genus Clivia, several previous studies have constructed the phylogenies of Clivia using RAPD markers and DNA sequences [7–9]

  • The genus Clivia Lindl. belongs to the family Amaryllidaceae and includes six diploid species (2n = 2x = 22) primarily distributed in southern Africa [1–3]

  • C. nobilis (CN68, CN89 and CN106) producing clear amplicons of the expected size were selected for the following experiment, and the other primer pairs which amplified multi-bands were abandoned in this study

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Summary

Introduction

To gain a better understanding of the phylogenetic relationships within the genus Clivia, several previous studies have constructed the phylogenies of Clivia using RAPD markers and DNA sequences [7–9]. The results of these studies provide us fundamental insight into the systematic relationships among the six congeneric species. These wild Clivia species were usually used as genetic resources for the interspecific cross-breeding [5,10–12]. These microsatellite primers provide us a valuable resource to evaluate the phylogenetic relationships and genetic diversity of wild Clivia species and cultivars

Results and Discussion
Isolation of Microsatellite Markers
Detection of Polymorphism and Data Analysis
F: AACAGCAGGAAATTAGGGAG
Conclusions

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