Study on Genetic Diversity of Caragana Korshinskii Kom.
|School||China Agricultural University|
|Keywords||Caragana children Phenotypic diversity Allozyme AFLP markers Genetic Diversity|
According to China Caragana children (Caragana korshinskii Kom.) Resource distribution on the Inner Mongolia Plateau and the Loess Plateau of 10 Caragana children in natural populations (Inner Mongolia Etuoke populations, Hangjinqi populations, Dongsheng home group, Shanxi pianguan populations, bend populations, populations Shenmu in Shaanxi Province, Yulin populations, Jingbian populations, given edge populations) Address line sampling, analysis of the 10 populations of leaves, pods, seeds, etc. 11 indicators phenotypic diversity, allozyme diversity, and DNA diversity, and three different levels of genetic diversity were compared and evaluated. The main results are as follows: (1) the findings of phenotypic diversity: Caragana children regardless of phenotypic traits among populations or within populations have shown significant or very significant difference, 11 the average phenotypic differentiation factor 0.195, ie, the average population accounted for 80.5% of the phenotypic variation, indicating that populations within the phenotypic variation is Caragana child's primary sources of variation, diversity within populations is higher than the diversity among populations . Caragana children phenotypic traits and geographic ecological factors partial correlation analysis showed that the phenotypic traits and geographic ecological factors is not high. Principal component analysis and discriminant analysis showed that grain weight, pod width, leaf length of these three traits is caused by Caragana children phenotypic variation of the main factors. Integrated cluster analysis and principal component analysis, 10 Caragana child population can be divided into four categories. (2) allozyme genetic diversity studies: the use of seven enzyme systems of 11 loci analyzed, were found in 19 alleles, of which eight polymorphic loci (72.7%), three of monomorphic loci. Caragana children both in the kind of level (A = 1.727, A e = 1.533, P = 72.7%, H e = 0.292, H o < / sub> = 0.425), or at the population level (A = 1.618, A e = 1.470, P = 61.8%, H o = 0.408, H e = 0.263) were higher genetic diversity. Coefficient of genetic differentiation among populations was 0.14, or 86% of the genetic diversity within populations distributed. Populations of gene flow between a certain gene flow (N m ) is 1.5. Cluster analysis and principal component analysis results will be 10 Caragana child populations are divided into three categories, geographic distance between populations and genetic distance correlation is not significant. (3) AFLP molecular marker studies: extracted by SDS method AFLP analysis in line with higher quality Caragana child DNA. Caragana children established good AFLP reaction procedure, the process comprising: Mse I and EcoR I to 200ng/μl template DNA was digested; in the total volume of 20μl under conditions EcoR I pre-amplification primer system includes (50ng/μl) 0.6μl, Mse I primers (50ng/μl) 0.6μl, 10 x PCR Buffer 2μl, MgCl 2 (25mM) 1.2μl, dNTP (2.5mM) 0.16μl, Taq enzyme (5U/μl) 0.12μl; selective amplification system includes EcoR I primer (50ng/μl) 0.8μl, Mse I primers (50ng/μl) 0.8μl, 10 x PCRBuffer 2μl, MgCl 2 (25mM ) 1.2μ, dNTP (2.5mM) 0.18μl, Taq enzyme (5U/μl) 0.2μ. Genetic diversity analysis showed that both kinds of Caragana child level (P = 93.9%, H = 0.3168, I = 0.477) or at the population level (P = 69.5%, H = 0.244, I = 0.365) have shown a higher genetic diversity. Caragana children with the genetic diversity of latitude and annual temperature parameters showed a significant or very significant correlation. Based on genetic differentiation coefficient (Csr) and analysis of molecular variance (AMOVA) showed that the genetic diversity Caragana children mainly in populations within 77.8 percent. Populations of gene flow between certain, N m = 1.7. Integrated cluster analysis and principal component analysis, 10 Caragana child population can be divided into two categories, namely Inner Mongolia Plateau and the Loess Plateau group group. Geographic distance among populations and genetic distance correlation was significant.