|
The large seaweed kelp has high economic value, is widely used in food processing, pharmaceutical and chemical industries. Since the 1950s, kelp commercial cultivation, has become China's important economic seaweed After half a century of development, the highest in the world in terms of area under cultivation and aquaculture production. Although the AFLP technique have been some reports in the kelp, but relative to the size and extent of the research still lags behind in higher plants, and other molecular markers in kelp progress is slow, the number of markers such as SSR still less can not meet the kelp more complex genetic structure of the genome analysis. Through this experiment further study AFLP technology in algae, development applicable to the kelp AFLP experimental methods and to study the applicability of AFLP Genetic analysis of seaweed farming, and look forward to a rich kelp number of markers. In addition, the expectations of AFLP technique to genetic diversity and relationship to explore China's five main kelp cultivar identification and assessment of their breeding seedlings, provide technical data for further kelp genetics and breeding. In this study, AFLP marker analysis of genetic diversity and relationship of China's five major seaweed farming groups. Selective primers were detected by 11 to 197 sites. At the population level, the proportion of polymorphic loci (P), genetic diversity (H) and Shannon index (I) in the three sea populations (P: 38.58%; H: 0.1580; I: 0.2291), and in Wing Fok populations the lowest (P: 22.84%; H: 0.0840; I: 0.1233). All populations, the value of P, H and I, respectively, 64.47%, 0.2136 and 0.3232, respectively. Low genetic diversity between five seaweed farming groups, the interspecific lower genetic diversity have reached most of the locus highly inbred homozygous state. Constructing phylogenetic trees based on individual genetic similarity matrix data by the unweighted group average method (UPGMA) Figure can these five breeding groups clustered into three categories, collected from the sea in the South, even complex II, Fujian Wing Fok genetic distance and Ellen Bay from the north,. AMOVA analysis showed that 45.53% of the genetic variation among populations and 54.47% within populations. The coefficient of genetic differentiation GST value is 0.3917, FST value of 0.4553, gene flow (Nm) was 0.3882, indicating that the five seaweed farming groups have significant genetic differences.
|