Objective ISSR Identification of genetic diversity in Aconitum carmichaeli by ISSR marker technique. Methods Genetic diversity between Jiangyou Radix Aconiti Lateralis Preparata and nine wild A. carmichaeli populations was determined by ISSR technique. Results Eight primers were selected to produce highly reproducible ISSR bands. Among 98 amplified bands, 68 showed polymorphism, the percentage of polymorphic bands (PPB) reached to 69.39%. Observed number of alleles (Na), effective number of alleles (Ne), Nei′s gene diversity index (H), and Shannon information index (I) were 1.693 9, 1.371 5, 0.230 8, and 0.353 0, respectively. A DNA profile was discovered with a single primer, ISSR 855, in which each of ten tested populations had its unique patterns and was distinguished from each other. Conclusion ISSR Method is suitable for DNA fingerprinting, identification , and genetic diversity analysis of A. carmichaeli.

Objective To investigate the genotype of M.tuberculosis in He'nan Province.Methods A total of 668 M.tuberculosis clinical strains collected in difference regions of He'nan Province during 2015 were genotyped by two standard methods,including classical 24-locus mycobacterium interspersed repetitive unit variable-number tandem-repeat (MIRU-VNTR) typing and spoligotyping.Results The 668 isolates were divided into 11 clusters and 35 patterns by spoligotyping.Among the 558 Beijing strains,546 were typical Beijing strains and the other 12 were atypical Beijing strains.Among the 110 non-Beijing strains,eight were new strains and the remaining 102 non-Beijing strains were divided into 10 families.There were 76 isolates belonging to T family,including 59 of T1 families,7 of T2 families,and 10 of T3 families.The 668 strains were divided into 550 gene patterns by standard 24-locus VNTR,including 508 un-clustered patterns and 160 clustered into 42 clusters.The largest cluster contained 21 strains,the other clusters contained 2-20 strains.Conclusion Beijing strain is still the most prevalent M.tuberculosis in He'nan Province.