| 1 | AFLP Fingerprinting and Genetic Diversity of Main Sweetpotato Varieties in China显示文摘AFLP fingerprinting of the 98 main sweetpotato varieties planted in China has been constructed. Using 17 AFLP primer combinations which were selected from 1 208 primer combinations and generated the most amounts of polymorphic bands, AFLP analysis of the 98 main sweetpotato varieties gave a total of 410 clear polymorphic bands with an average of 24.12 polymorphic bands per primer combination. Each one of the 98 sweetpotato varieties could be clearly distinguished by EcoR I-cta/Mse I-ggc primer combination which generated the most polymorphic bands. AFLP-based genetic distance ranged from 0.0546 to 0.5709 with an average of 0.3799. The dendrogram based on AFLP markers indicated that sweetpotato varieties coming from the same regions or having same parents were clustered in the same groups. Analysis of molecular variance (AMOVA) revealed greater variations within regions (94.08%) than among regions (5.92%). Thus, the genetic variations mainly existed within regions, while the variations among regions were very low in the tested sweetpotato varieties. Significant genetic variations existed between 'Northern'and 'Southern'sweetpotato varieties when Yangtze River was used as the dividing line. | LIU De-gao ZHAO Ning ZHAI Hong YU Xiao-xia JIE Qin WANG Lian-jun HE Shao-zhen LIUQing-chang | 2012 | Journal of Integrative Agriculture2012，11，9： | 9 |
| 2 | Identification of Porphyra lines using computerized DNA fingerprinting显示文摘RAPD (Randomly Amplified Polymorphic DNA) analysis was performed with filaments of 15 Porphyra lines representing four important groups (P. yezoensis, P. haitanensis, P. katadai var. Hemiphylla and P. digospermatangia). Eight stable and repeatable RAPD bands amplified with two primers, OPN-02 and OPJ-18, were selected for the construction of DNA fingerprinting. The RAPD results were scored based on the presence or absence of each of the 8 bands and then converted to computer language expressed with two digitals, 1 and 0, which represented the presence (numbered as 1) or absence (numbered as 0) of each band, respectively. Based on these results, a model DNA fingerprint and a computerized DNA fingerprint were constructed. In the constructed DNA fingerprint, each Porphyra line has its unique fingerprinting pattern and can be easily distinguished from each other. Later, a software, named as PhGI, was designed based on this DNA fingerprinting. It can be used in practical Porphyra line identification. | WangBin, Jia Jianhang, Shi Jinfeng, Chen Yihua, JinDemin, Xu Pu, Mei Junxue, Weng Manli 1. Institute of Genetics, Chinese Academy of Sciences, Beijing 100101 (E-mail: mlweng@genetics. ac. cn), China 2. Jiangsu Marine Fishery Institute, Nan | 2001 | Acta Oceanologica Sinica2001，20，3： | 7 |
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