Analysis And Identification Of Molecular Marker Associated With Fiber Length Of Betula Platyphylla

The Betula platyphylla is pioneer and excellent short cycle broad-leaved pulp tree innortheast and inner-Mongolia region. Because the fiber length is the main factor for paperquality, the hereinafter study was done in this paper to accelerate the progress of new varietyfor long fiber pulp B.platyphylla.After measurement and analysis fiber length trait (FLT) and distributing trait of 538individuals from nature B.platyphylla population in maoershan experiment forestry centre and200 individuals from nature B.platyphylla population in harerbin experiment forestry centre,the FLT is the model quantity trait suit to study using marker analysis, moreover the 100individuals from maoershan and 50 from harerbin were selected to be analyzed by moleculemarker.After the factors affecting the B.platyphylla leave DNA extraction were studied by thenumbers, the method adapt to extraction DNA from B.platyphylla leave with abundant amylaseand other secondary chemicals was put forward. The high quality DNA could be extracted bythis method which included these processes: the material whetted washes 2～3 by STE andCTAB in normal temperature, the first centrifugal force and time reduce to 6080g 5rain, theprecipitator change over to ethanol.The steady RAPD system was established. After Multiple-factor Regression analysis theRAPD molecular and fiber length, the 6 strip RAPD molecular having notable correlation withfiber length were received and all translated into SCAR which can be used to assistant selectbreeding. These SCARS could identify 79% long fiber individuals and 88% short fiberindividuals. SCAR-R16 could identify as high as 92% long fiber individuals and only identify4% short fiber individuals, which was the maximal distinguishing ability among 6 SCAR.The steady ISSR system was established. After Multiple-factor Regression analysis theISSR molecular and fiber length, the 4 strip ISSR molecular having notable correlation withfiber length were received and all translated into SCAR which can be used to assistant selectbreeding. Three SCARS could identify 84% long fiber individuals and 80% short fiberindividuals. SCAR-I32 could identify as high as 92% long fiber individuals and only identify4% short fiber individuals, which was the maximal distinguishing ability among 3 long SCAR.The short SCAR could identify 80% short fiber individuals and 16% long fiber individuals.The steady AFLP system was established. After Multiple-factor Regression analysis theAFLP molecular and fiber length, the 7 strip AFLP molecular having notable correlation withfiber length were received and all translated into SCAR which can be used to assistant selectbreeding. These SCARS could identify 84% long fiber individuals and 80% short fiber individuals averagely. SCAR-A_5/2 could identify as high as 96% long fiber individuals and onlyidentify 8% short fiber individuals, which was the maximal distinguishing ability among 7SCARs.