First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.)

Author:

Tan Chen1,Zhang Haimei1,Chen Haidong1,Guan Miaotian1,Zhu Zhenzhi1,Cao Xueying1,Ge Xianhong2,Zhu Bo1,Chen Daozong1

Affiliation:

1. College of Life Sciences, Gannan Normal University, Ganzhou 341000, China

2. College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 431700, China

Abstract

Stock (Matthiola incana (L.) R. Br.) is a famous annual ornamental plant with important ornamental and economic value. The lack of DNA molecular markers has limited genetic analysis, genome evolution, and marker-assisted selective breeding studies of M. incana. Therefore, more DNA markers are needed to support the further elucidation of the biology and genetics of M. incana. In this study, a high-quality genome of M. incana was initially assembled and a set of effective SSR primers was developed at the whole-genome level using genome data. A total of 45,612 loci of SSRs were identified; the di-nucleotide motifs were the most abundant (77.35%). In total, 43,540 primer pairs were designed, of which 300 were randomly selected for PCR validation, and as the success rate for amplification. In addition, 22 polymorphic SSR markers were used to analyze the genetic diversity of 40 stock varieties. Clustering analysis showed that all varieties could be divided into two clusters with a genetic distance of 0.68, which were highly consistent with their flower shape (potted or cut type). Moreover, we have verified that these SSR markers are effective and transferable within the Brassicaceae family. In this study, potential SSR molecular markers were successfully developed for 40 M. incana varieties using whole genome analysis, providing an important genetic tool for theoretical and applied research on M. incana.

Funder

Scientific Research Project of Education Department of Jiangxi Province

Natural Science Foundation of Jiangxi Province

Publisher

MDPI AG

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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