DNA fingerprinting studies of some wheat (Triticum aestivum L.) genotypes using random amplified polymorphic DNA (RAPD) analysis (original) (raw)
Related papers
2009
Twelve wheat genotypes developed through hybridization programme were screened for genetic diversity through RAPD marker. A total of 102 loci were amplified with 14 primers out of which 91 (89.2%) were polymorphic and only 11(10.8%) were monomorphic. Fragments size ranged from 142bp-5.3kb and fragments produced by various primers ranged from 1-11 with an average of 7.1 fragments per primer. The highest number of loci (13) was amplified with primer A-10, while the lowest number (1) with primer B-10. Results revealed that variety SARC-1, PKV-1600 and Chakwal-86 contain a specific segment of 478 bp while SARC-1 contains another specific segment of 957 bp amplified with primer A-07. Genetically most similar genotypes were SARC-1 and Chakwal-86 (70%) while most dissimilar genotypes were Sarsabz and PKV-1600 (33%). On the basis of results achieved, the varieties could be divided into 3 groups, Kiran-95, Marvi-2000 and Sarsabz in one group, Bhitai, ESW-9525, Inqilab-91, Khirman and Abadgar-93 clustered in second group and SARC-1, Chakwal-86, PKV-1600 and CM 24/87 in the third group.
South African Journal of Botany, 2006
The genetic variation and relationships among 277 individual plants from 10 wheat genotypes were evaluated using RAPD markers. A total of 190 DNA fragments was generated by 25 random primers, with an average of 7.6 easily detectable fragments per primer. Of these, 84 fragments (44.64%) were polymorphic among the 10 genotypes. Several RAPD marker bands showed unique patterns of mean frequency that differed among the wheat germplasm groups. Within-population genetic variation ranged from 83% to 93% of the total. The greatest similarity was observed between Marghila-99 and Marvee-2000, whereas the local variety 8670-3 showed the lowest similarity with the exotic types. RAPD analysis can be used for the characterization and grouping of wheat genotypes. These results will be helpful in future wheat breeding programs.
Assessment of genetic diversity in bread wheat (Triticum aestivum L.) using RAPD markers
Journal of Applied and Natural Science, 2017
The present study aimed to evaluate the genetic diversity of 10 wheat cultivars by Random Amplified Polymorphic DNA (RAPD) marker. The genomic DNA of 10 wheat genotypes were amplified with 10 RAPD primers that produced 53 amplified band, out of which 23 band were polymorphic (43.39%). The number of fragment amplified per primer ranged from 4 to 9. Primer A01 generated maximum number of amplified band, out of which 5 band were polymorphic. Cluster analysis of wheat genotypes were based on UPGMA method. Cluster analysis of 10 wheat genotypes were classified in to two main group; single variety AKW 1071 was placed in first group and rest 9 variety were placed in second group. The pair wise similarity values ranged from 0.58% to 100% and showed that cultivars Raj-3765 and K-7903 were the closest with highest similarity value (100%), while genotypes AKW 1071 and K9006 showed minimum similarity value (62%). The present study indicated the presence of high genetic diversity among wheat cultivars, which could be used for the developing core collection of wheat germplasm for breeding purpose.
Genetic Analysis and RAPD Polymorphism in Wheat (Triticum aestivum L.) Genotypes
Assessment of genotype diversity was studied using released and in pipeline genotypes of wheat, of these 22 were released and 14 were in pipeline. Genetic diversity among 36 wheat genotypes was studied using Random amplified polymorphic DNA (RAPD) analysis. 21 RAPD primers (RPI primers) were used for screening 36 wheat genotypes from which 2,868 fragments were amplified. It was observed that 63.3% bands were polymorphic and 36.4% were monomorphic. The percent of polymorphic bands in banding pattern was calculated and it was highest in RPI-22 (81.3%) while lowest was recorded in RPI-2 (33.8%) and highest PIC value was observed in RPI-22 and RPI-25 (0.88) while lowest in RPI-7 (0.70). Maximum fragments were produced in RPI-1 (200) and minimum in RPI-7 (82). In banding pattern some unique bands were seen, total 7 unique bands were observed. Genetic relationship between wheat genotypes was determined on the basis of Jackard IJ pair wise similarity coefficient values (Similarity coefficient values ranged from 0.09 to 0.99) and dendrogram was generated by UPGMA (Unweighted Pair Group Method with Arithmetic Mean) cluster analysis using dice's similarity matrix through NT-SYS pc software. From dendrogram 5 solitary and 8 clusters were revealed. From above analysis average coefficient values were revealed and highest (0.99) was observed between WSM-175.1 and WSM-163 genotypes while HD-2781 and NIAW-34 represent lowest average similarity coefficient value (0.09). The maximum similarity percentage i.e. 99% was found between WSM-175.1 and WSM-163 and the minimum similarity i.e. 09% was found between HD-2781 and NIAW-34.
Characterization of Wheat Genotypes Using Randomly Amplified Polymorphic Dna Markers
Pak. J. Bot, 2012
Genomic DNA from the genotypes Khyber-87, Saleem 2000, Suleman-96, Pir Sabak-2004, Pir Sabak-2005, NRL-0320, NRL–0517, RAS-II, Tatara, RAS-I, Bathoor, Fakhare Sarhad, Bakhtawar-94, Inqilab-91, Haider-2002, Noshera-96, and Auqab-2000 was amplified using RAPD primers. Loci of 100-1400 bp sizes were amplified and on average 3.51 loci per genotype were amplified. Average genetic diversity using the twelve RAPD primers ranged from 30-90%. Phylogenetic relationship among the wheat genotypes was ...
2020
The importance of grain cultivation especially wheat is obvious in terms of providing human and animal food and its impact on the economy of human societies. The reduction of genetic diversity in cultivars prevents increasing yields in line with rising demand and consumption. Therefore, it is necessary to improve the compatibility of them and increase their genetic extent. In the current, the genetic diversity of Iranian wheat genotypes was investigated at the DNA level using RAPD and ISSR markers. 17 RAPD primers and 16 ISSR primers generated 86 (86/99= %86.86) and 56 (56/64= %57.5) polymorphic bands respectively. The cluster analysis based on UPGMA and dendrogram plotted using NTSYSpc 2.02 software revealed three main clusters. The highest genetic distance was between CD-89-2 and CD-89-7 genotypes and the minimum genetic distance was between CD-89-2 and CD-89-3 genotypes. Based on Nei's genetic distance matrix, the mean number of effective bands, the Shannon index, and polymor...
2019
Wheat is qualitatively a vital source of macromolecule, energy and fiber for human nutrition since decades hence, used as a staple food grain for community and as well a major source of fodder for animal feeding. Assessment of genetic diversity using molecular markers is used for characterization of different genotypes with reliable and authentic results. RAPD is a PCR based molecular technique for identification of genetic variability in similar genotypes. It usually preferred for the initiation of this kind of work as this technique is simple, versatile and relatively inexpensive. 35 amplified bands were obtained using 6 RAPD primers, in which (54.29%) were polymorphic and (45.71%) was monomorphic. Total amplified bands varied in between 5 to 7 with an average of 5.83 bands/primer. Average PIC value was 0.143 with ranging from 0.036 to 0.296. The lowest and the highest PIC value were recorded for primer OPA 14 and OPA 05, respectively. UPGMA cluster constructed from RAPD analysis clubbed the 10 wheat genotypes into three major clusters I, II and III and I was further divided in sub clusters IA and IB. The eager knowledge of genetic diversity is used to diagnose genetic programme and beneficial for future crop improvement.
Electronic Journal of Biotechnology, 2010
Abbreviations: HMW-GS:high molecular weight glutenin subunits LMW: low molecular weight NUWYT: national uniform wheat yield trials PCR: polymerase chain reaction RAPD: random amplified polymorphic DNA SDS-PAGE: sodium dodecyl sulphate polyacrylamide gel electrophoresis Genetic diversity was assessed among 32 advanced wheat breeding lines included in the National Uniform Wheat Yield Trials (2006-07) of Pakistan using molecular (DNA) and biochemical (SDS-PAGE) markers. Of the 72 RAPD primers used for initial screening, 15 were found polymorphic. A total of 140 bands (61.4% polymorphic) were generated by the 15 random decamer primers. Genetic similarity coefficients ranged from 0.81 to 0.94 for rainfed and from 0.70 to 0.93 for the normal seeding date group. Cluster analysis using the unweighted pair group method of arithmetic averages (UPGMA) clustered the 32 advanced wheat breeding lines into one major and three small groups. Maximum level of polymorphism (90%) was observed for the primer OPA-05. Lines N9 *Corresponding author and N11 showed the least genetic similarities (0.70-0.82 and 0.71-0.83, respectively) with rest of the lines studied. Line RF1 had the maximum similarity (0.81-0.94) with other lines. Wheat lines included in the normal seeding date were relatively distantly related than those in the rainfed group. Seed storage protein analysis produced 19 subunits ranging from 29-120KDa. Similarity coefficients ranged from 0.53 to 1.0 for the normal seeding date and from 0.47 to 1.0 for the rainfed group. High molecular weight subunits (particularly 120KDa) showed greater polymorphism than the lower molecular weight subunits. Narrow genetic base was observed in wheat lines included in the rainfed group. DNA fingerprinting of advanced breeding lines may help to avoid release of varieties with narrow genetic base in the future. Ahmed, M.F. et al. FUFA, H.; BAENZIGER, P.S.; BEECHER, B.S.; DWEIKAT, I.; GRAYBOSCH, R.A. and ESKRIDGE, K.M. Comparison of phenotypic and molecular markerbased classifications of hard red winter wheat cultivars. CHO, Yong G.; YOON, Ung H. and EUN, Moo Y. A rapid DNA extraction method for RFLP and PCR analysis from a single dry seed. Plant Molecular Biology Report, 1998, vol. 16, no. 1, p. 1-9. LAEMMLI, U.K. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature, August 1970, vol. 227, p. 680-685. LANGRIDGE, P.; LAGUDAH, E.S.; HOLTON, T.A.; APPELS, R.; SHARP. P.J. and CHALMERS, K.J. Trends in genetic and genome analyses in wheat: a review.
Detection of DNA sequence polymorphisms among wheat varieties
Theoretical and Applied Genetics, 1992
A DNA marker detection strategy that allows the rapid, efficient resolution of high levels of polymorphism among closely related lines of common wheat (Triticum aestivum) has been developed to circumvent the apparent lack of restriction fragment length polymorphism in many important self-pollinated crop species. The technique of randomly amplified polymorphic DNA (RAPD) was combined with a denaturing gradient gel electrophoresis system (DGGE) to explore DNA sequence polymorphisms among different genotypes of wheat. Of the 65 primer combinations used for the polymerase chain reaction (PCR) amplifications, over 38% of them produced readily detectable and reproducible DNA polymorphisms between a spring wheat line, SO852, and a winter wheat variety, ‘Clark’. A high level of polymorphism was observed among a number of commercial varieties and breeding lines of wheat. This procedure was also used to detect polymorphisms in a recombinant inbred population to test the feasibility of its application in genome mapping. This DNA polymorphism detection system provides an opportunity for pedigree analysis and fingerprinting of developed wheat lines as well as construction of a high density genetic map of wheat. Without the need for 32P and sophisticated DNA extraction procedures, this approach should make it feasible to utilize marker-based selection in a plant breeding program.
Potravinarstvo, 2019
Wheat (Triticum aestivum L.) is the most important and strategic cereal crop in Egypt and has many bread wheat varieties. Seventeen Egyptian bread wheat varieties used in this study with a set of sixteen wheat microsatellite markers to examine their utility in detecting DNA polymorphism, estimating genetic diversity and identifying genotypes. A total of 190 alleles were detected at 16 loci using 16 microsatellite primer pairs. The number of allele per locus ranged from 8 to 20, with an average of 11.875. The polymorphic information content (PIC) and marker index (MI) average values were 0.8669, 0.8530 respectively. The (GA) n microsatellites were the highest polymorphic (20 alleles). The Jaccard's Coefficient for genetic similarity was ranged from 0.524 to 0.109 with average of 0.375. A dendrogram was prepared based on similarity matrix using UPGMA algorithm, divided the cultivars into two major clusters. The results proved the microsatellite markers utility in detecting polymorphism due to the discrimination of cultivars and estimating genetic diversity.