Construction of Specific Fluorescent-labeled SSR Marker Database of Chinese Bayberry (Morella rubra) Varieties
JU Peng-Ju1, ZHU Yi-Fan1, ZHAO Lan1, WANG Guo-Yun2, ZHOU Chao-Chao2, YAN Li-Ju3, CHAI Chun-Yan4, JIAO Yun5, CHEN Jin-Hui6, GUO Xiu-Zhu7, GAO Zhong-Shan1,6,*
1 Institute of Fruit Science, Zhejiang University, Hangzhou 310058, China; 2 Agricultural Technology Extension Service Center of Yuyao City, Yuyao 315400, China; 3 Linhai Specialty Technology Promotion Station, Linhai 317000, China; 4 Cixi Forestry Technology Extension Centre, Cixi 315300, China; 5 Forestry Research Institute, Ningbo Academy of Agricultural Science, Ningbo 315040, China; 6 Yuyao Characteristic Fruit Research Institute, Yuyao 315400, China; 7 Zhejiang Subtropical Crops Research Institute, Wenzhou 325005, China
Abstract：There are abundant germplasm resources of Chinese bayberry (Morella rubra) in China, and most of them are local accessions. Although a large number of SSR molecular markers have been developed based on the whole genome, a unified set of molecular markers for the identification of bayberry germplasm resources has not been established, which hampers the proper management of genetic identities of the germplasm. In this study, based on the developed SSR molecular markers and linkage map location of Chinese bayberry, 2 SSR markers with stable amplicon length and good reproducibility were selected from each linkage group. The fluorescence-labeled primers were used and the amplified fragments were analyzed by DNA sequenator. Then the data was used to construct a molecular marker database and establish unified standard for the identification of Chinese bayberry resources. Afterwards, the genetic distances of every 2 accessions were calculated, and the neighbor-joining (NJ) clustering tree was drawn. The results showed that the amplified fragments of 16 SSR molecular markers were different and could distinguish 109 variety accessions. The geographical sources of the accessions were correlated with the genetic distance to a certain extent. A molecular database containing 109 accessions was established based on 16 SSR markers with 'Biqi', 'Dongkui', 'Dingao' and 'Anhaipianzaosheng' as reference marker of amplicon length. Further selection of 5 SSR molecular markers with high polymorphism information content (PIC) could successfully distinguish 85% (94/109) of Chinese bayberry materials, indicating high identification efficiency. This study provides a more efficient and reliable method and standard for the management of bayberry germplasm resources.
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