7443

6949

كارشناسي ارشد

بيوتكنولوژي كشاورزي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي

1391

دوازده، 57ص.: مصور، جدول

ص.ع. به فارسي و انگليسي

مجيد طالبي

حسين زينلي

19/10/91

بدرالدين ابراهيم سيد طباطبائي

1396/09/22

كتابنامه

كشاورزي

مهندسي كشاورزي

ID6949

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Assessment of Genetic Diversity in Rosa damascena Mil Using Chloroplast Microsatellite and SRAP Markers Mohamadraeza Raesi Mohamadraisi63@yahoo com Date of submission September 18 2012 Departmant of Agricultural Biotechnogy Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi 1 M Talebi Assist Prof Supervisor mtalebi@cc iut ac irAbstractDamask rose Rosa damascena Mill Rosaceae is one of the oldest rose species and important species as a sourceof rose oil and rose water grown in Iran At present this plant is cultivated throughout the world for ornamental medicinal culinary and fragrance purposes Genetic variation of this species can help breeders to conducting thebreeding programs Molecular markers with capability to appear cytoplasmic inheritance and targeting of codingsequences can help to classi cation of R damascena genotypes So in this study we used two molecular markers included SRAP marker as a simple reliable entire throughput of genome and targeting of coding sequences andchloroplast simple sequence repeat cpSSR marker as a codominat reproducible and cytoplasmic inheritancemarker for evaluation of genetic diversity among 44 R damascena genotypes collected from different regions ofIran Genomic DNA was extracted from fresh leaf samples and PCR analysis performed following the measurementof qualify and quantify of extracted DNA Selected primers of SRAP were amplified 246 bands of which 203 76 were polymorphic The mean of polymorphism information content PIC was estimated for 0 3 indicating SRAP asa suitable marker system for evaluation of genetic variation among R damascena genotypes Cluster analysis usingNeighbor Joining method was grouped some genotypes from same region as a same cluster which showedcompatibility of these genotypes to climate of regions Principal coordinate analysis PCoA of SRAP data showedthat sum of first three PCs could be represented 26 75 of the total variation therefore the cluster analysis is thebest method for evaluation of genetic diversity among R damascena genotypes Based on the AMOVA results thesignificant differences area observed among geographical groups Fst 0 09 P 0 001 with a fairly gene flow Among 25 primer pairs used in cpSSR analysis 13 primers were amplified polymorphic bands with a number of twoalleles per primer The mean of PIC the average values of Nei s gene diversity and Shannon s information indexwere 0 1 0 16 and 0 28 respectively Dendrogram constructed using Jaccard s similarity coefficient and UPGMAmethod in cpSSR data was divided the genotypes into three main groups The results of principal componentanalysis PCA were showed that the first three components accounted for 61 74 of the total variation indicatingthat both of PCA and clustering method can be appropriate to study of the cpSSR data In addition the data obtainedfrom SRAP and cpSSR markers were combined and the dendrogram was plotted by UPGMA method Thisdendrogram clustered the genotypes in separate groups as well as SRAP result It can be concluded that SRAP is aneffective marker system in compared to cpSSR for studying genetic diversity and relationships among R damascenagenotypes and the results from SRAP marker were more corresponded to geographical distribution of R damascenagenotypes in Iran Key words Rosa damascena Genetic variation SRAP cpSSR Iran

مجيد طالبي

حسين زينلي

بدرالدين ابراهيم سيد طباطبائي