Analysis Of Genetic Diversity Of Wild Auricularia Auricular Germplasm From Heilongjiang Using Different Molecular Markers

Auricularia auricular (L.) Underw is one of the main species of edible fungi cultivated in China. In recent days, due to the worsening ecological environment and natural disasters, the amount of germplasm of wild Auricularia auricular declined year after year. Therefore, based on collecting and storing wild germplasm of wild Auricularia auricular, analyzing and investigating it is of great significance for protecting wild Auricularia germplasm and breeding both theoretically and practically. In this paper,33 wild strains and 8 cultivated strains from Northeast of China were investigated by analyzing their phenotypic characteristics and DNA molecular markers. The results show that:1 Principal component of 10 phenotypic characteristics in 41 strains were analysed by software SPSS 13.0 and 10 principal components were obtained, in which auricle lengh, auricle width and auricle wet weight of each bag were major effectors for the yield factor.2 The germplasms of 41 strains were analysed by TRAP markers. From 48 primer combinations,12 primer combinations were screened. Cluster analysis showed that the 41 tested strains could be divided into 4 groups at the similarity coefficient level of 0.58. Based on TRAP markers, molecular identification was established by means of Software ID Analysis 1.0. The results showed that the tested strains could be identified by 5 pair.3. Analysis on the genetic diversity of 41 strains and a tremella strain was done by using ITS sequences. Results shown that the 41 Auricularia strains were divided into 3 categories at 99% approval rate, with the tremella strain as an outgroup. The results of this study supported the separation of the Auricularia and the tremella in conventional taxonomy and also supported the separation of the internal species of Auricularia strains.4. The germplasms of 41 strains were analysed by ISSR marker using 10 higher polymorphism primers. Cluster analysis showed that the 41 strains were divided into 6 groups at the similarity coefficient level of 0.64. With software ID Analysis 1.0,4 primers(P4,P5,P6,P7) was needed to to establish the molecular identification of the 41 tested strains.5. The germplasms of 41 strains were analysed by SRAP markers using 9 pairs of higher polymorphism primers. Cluster analysis showed that the 41 strains were divided into 5 groups at the similarity coefficient level of 0.63. Software ID Analysis 1.0 was utilized to establish the molecular identification. The 41 strains could be identified by ME5+EM3 and ME6+EM6 primer combination.