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Analysis of genetic diversity in Ganoderma population with a novel molecular marker SRAP.

Genetic marker technology designed to detect naturally occurring polymorphisms at the DNA level had become an invaluable and revolutionizing tool for both applied and basic studies of fungi. To eliminate the confusion on the taxonomy of Ganoderma strains, in this study, a collection of 31 accessions representative of morphotypes and some unclassified types was used for analyzing molecular diversity using a novel molecular marker sequence-related amplified polymorphism (SRAP). This collection included commercial cultivars and wild varieties that represented the great diversification of types from different countries and regions. The experimental results showed that 50 out of 95 combinations of primers turned out to be polymorphic, and 85 polymorphism bands were obtained using six combinations. Based on the appearances of markers, the genetic similarity coefficients were calculated, and genetic variations were observed (0 approximately 1) among the 31 different Ganoderma strains. The group of Ganoderma lucidum showed significant differences from the group of Ganoderma sinense. Moreover, G. lucidum in China was also different from G. lucidum in Yugoslavia. At the same time, cluster analysis successfully categorized these 31 Ganoderma strains into five groups. These results revealed the genetic diversity of Ganoderma strains and their correlation with geographic environments. It also suggested SRAP marker could be used in the taxonomic analysis of fungi. To our knowledge, this is the first application of SRAP marker on the systematics of Ganoderma strains within basidiomycetes.

Ganoderma↗

Analysis of fungal diversity in the wheat rhizosphere by sequencing of cloned PCR-amplified genes encoding 18S rRNA and temperature gradient gel electrophoresis.

Like bacteria, fungi play an important role in the soil ecosystem. As only a small fraction of the fungi present in soil can be cultured, conventional microbiological techniques yield only limited information on the composition and dynamics of fungal communities in soil. DNA-based methods do not depend on the culturability of microorganisms, and therefore they offer an attractive alternative for the study of complex fungal community structures. For this purpose, we designed various PCR primers that allow the specific amplification of fungal 18S-ribosomal-DNA (rDNA) sequences, even in the presence of nonfungal 18S rDNA. DNA was extracted from the wheat rhizosphere, and 18S rDNA gene banks were constructed in Escherichia coli by cloning PCR products generated with primer pairs EF4-EF3 (1. 4 kb) and EF4-fung5 (0.5 kb). Fragments of 0.5 kb from the cloned inserts were sequenced and compared to known rDNA sequences. Sequences from all major fungal taxa were amplified by using both primer pairs. As predicted by computer analysis, primer pair EF4-EF3 appeared slightly biased to amplify Basidiomycota and Zygomycota, whereas EF4-fung5 amplified mainly Ascomycota. The 61 clones that were sequenced matched the sequences of 24 different species in the Ribosomal Database Project (RDP) database. Similarity values ranged from 0.676 to 1. Temperature gradient gel electrophoresis (TGGE) analysis of the fungal community in the wheat rhizosphere of a microcosm experiment was carried out after amplification of total DNA with both primer pairs. This resulted in reproducible, distinctive fingerprints, confirming the difference in amplification specificity. Clear banding patterns were obtained with soil and rhizosphere samples by using both primer sets in combination. By comparing the electrophoretic mobility of community fingerprint bands to that of the bands obtained with separate clones, some could be tentatively identified. While 18S-rDNA sequences do not always provide the taxonomic resolution to identify fungal species and strains, they do provide information on the diversity and dynamics of groups of related species in environmental samples with sufficient resolution to produce discrete bands which can be separated by TGGE. This combination of 18S-rDNA PCR amplification and TGGE community analysis should allow study of the diversity, composition, and dynamics of the fungal community in bulk soil and in the rhizosphere.

DNA Primers↗

A python based automated computational framework to classify and comparative genomics analysis of the global diversity of chili leaf curl virus (ChiLCV) strains to understand virus host interactions.

Chili leaf curl virus (ChiLCV) is a Begomovirus chillicapsici that is one of the most devastating viruses impacted on the production of chili in the world, especially in South Asia. In the present study, we combined high-throughput computational genomics with experimental analysis of global diversity. A workflow was created using automated Python scripts to download, curate and process ChiLCV genomes from public database. About 410 complete ChiLCV genomes download from public databases. Using a phylogenetic approach, these isolates were subdivided into 34 strains, belonging to 10 major clades, showing significant genetic diversity. Geographic analysis revealed that Pakistan (207 isolates) and India (148 isolates) were the main sources of ChiLCV diversity and the remainder of the isolates were from Oman, Bangladesh, Iran, Saudi Arabia and Sri Lanka. Recombination was observed as a major evolutionary force as more than twenty recombination events were detected. Analysis of cis-regulatory elements showed a complex structure of the viral promoter, including multiple binding sites for transcription factors, hormone-response elements, light-responsive elements, and stress-responsive elements, indicating a high number of interactions between viral regulatory elements and host signaling pathways. Pangenome analysis showed the presence of a highly dynamic open pangenome made up of strain-specific orthologous groups (species-specific orthogroups). Experimental inoculation of chili plants was also carried out to assess the biological effects of infection, along with phytochemical, FTIR, HPLC, and qPCR analyses.

Begomovirus↗

Quantitative morphological analysis reveals ultrastructural diversity of amyloid fibrils from alpha-synuclein mutants.

High resolution atomic force microscopy is a powerful tool to characterize nanoscale morphological features of protein amyloid fibrils. Comparison of fibril morphological properties between studies has been hampered by differences in analysis procedures and measurement error determination used by various authors. We describe a fibril morphology analysis method that allows for quantitative comparison of features of amyloid fibrils of any amyloidogenic protein measured by atomic force microscopy. We have used tapping mode atomic force microscopy in liquid to measure the morphology of fibrillar aggregates of human wild-type alpha-synuclein and the disease-related mutants A30P, E46K, and A53T. Analysis of the images shows that fibrillar aggregates formed by E46K alpha-synuclein have a smaller diameter (9.0 +/- 0.8 nm) and periodicity (mode at 55 nm) than fibrils of wild-type alpha-synuclein (height 10.0 +/- 1.1 nm; periodicity has a mode at 65 nm). Fibrils of A30P have smaller diameter still (8.1 +/- 1.2 nm) and show a variety of periodicities. This quantitative analysis procedure enables comparison of the results with existing models for assembly of amyloid fibrils.

Amyloid↗

[Analysis of genetic diversity of Sichuan indigenous chicken breeds using microsatellite markers].

Thirty microsatellite markers with medium or high polymorphisms were selected to detect the genetic diversity of 8 indigenous chicken breeds in Sichuan. According to the allele frequencies of 30 microsatellite sites, mean heterozygosity (H), polymorphism information content (PIC) and DA genetic distances were calculated for each breeds. The results showed that 24 of 30 microsatellite sites were highly polymorphic, so the 24 microsatellite markers were effective markers for analysis of genetic relationship among chicken breeds. The mean heterozygosity of 8 chicken breeds was all over 0.5. The highest was the Luning chicken (0.681), and the lowest was the Jiuyuan Dark chicken. The high diversity of 8 chicken breeds might be caused by the traffic obstruction(geographic isolation). The results of the heterozygosity were consistent with that of PIC. UPGMA tree was completed through analysis of DA genetic distances. Emei Dark chicken, Miyi chicken, Luning chicken and Jiuyuan Dark chicken were the first group: Miyi chicken and Luning chicken were grouped firstly, then Emei Dark chicken were grouped with them in shorter time distances, and Jiuyuan Dark chicken were grouped with them at last. Shimiancao Ke chicken Xingwen Silky chicken and Muchuan Silky were the second group: Xingwen Silky chicken and Muchuan Silky were grouped firstly, and then Shimiancao Ke chicken was grouped with them. Liangshangya Ying chicken had its own branch. The result of UPGM was consistent with the genesis, breeding history, differentiation and location of 8 chicken breeds.

Animals↗

Analysis of genetic diversity and population structure within Florida coconut (Cocos nucifera L.) germplasm using microsatellite DNA, with special emphasis on the Fiji Dwarf cultivar.

Using 15 simple sequence repeat (SSR) microsatellite DNA loci, we analyzed genetic variation within Cocos nucifera germplasm collections at two locations in south Florida, representing eight cultivars. The loci were also used in a parentage analysis of progeny of the 'Fiji Dwarf' variety at both locations. A total of 67 alleles were detected, with eight the highest number at any one locus. These loci identified 83 of the 110 individual palms. Gene diversity of the 15 loci ranged from 0.778 to 0.223, with a mean of 0.574. 'Fiji Dwarf', 'Malayan Dwarf', 'Green Niño' and 'Red Spicata' cultivars resolve as distinct clusters in a neighbor joining tree using modified Rogers distance, while the tall varieties form two aggregates. The highest gene diversity was found in the tall cultivars (H = 0.583 cumulatively), and the lowest in the 'Malayan Dwarf' (H = 0.202). After the tall coconuts, the 'Fiji Dwarf' was most genetically diverse (H = 0.436), and had the largest number of unique alleles. Genetic identity is highest among the 'Malayan Dwarf' phenotypes, and between the tall varieties. The 'Red Malayan Dwarf' is genetically distinct from the 'Green' and 'Yellow Malayan Dwarf' phenotypes, which cannot be distinguished with the SSR loci used. Off-type 'Malayan Dwarf' phenotypes (putative hybrids with talls) can be identified genotypically. Parentage analyses of 30 'Fiji Dwarf' progeny propagated from five adults surrounded by other cultivars estimate that only 20% of the progeny were out-crossed to the other varieties, while 40-46% were possible selfs. This suggests that a seed-production orchard of the variety maintained at reasonable distance from other varieties, will likely yield only 'Fiji Dwarf' genotypes. Our data are discussed in the context of hypotheses of coconut dissemination around the world.

Alleles↗

Genetic analysis of the diversity in Toxoplasma gondii.

More than 50 different genetic markers are now available for Toxoplasma gondii isolate typing. For most of them, allelic polymorphism is low (2 to 4 alleles). A few markers, more polymorphic, can be used to fingerprint isolates for epidemiological studies. Phylogenetic analysis detects 2 main groups in Toxoplasma population. Group 2 is genetically heterogeneous. From a practical point of view, 3 main types (types I, II and III) are usually considered. Multilocus genotyping is necessary to reveal atypical or recombinant genotypes, more frequent among isolates collected in remote areas or in wild game. Toxoplasma isolates from human toxoplasmosis are mainly from type II (whatever the severity of clinical disease), but type I and atypical genotypes are found only in severe cases of human toxoplasmosis.

Animals↗

Analysis of genetic diversity and sectional relationships in Musa using AFLP markers.

The AFLP technique was used to assess the genetic diversity and sectional relationships in 39 accessions representing the four main sections of the genus Musa. Eight AFLP + 3 primer pairs produced 260 polymorphic bands that were used in cluster and PCO analysis. A wide range of variability was observed among the species within the sections of the genus Musa. AFLP data was useful in separating the different sections of the genus as well as differentiating the different genomic groups of section Eumusa. Section Rhodochlamys ( x = 11) appeared as a distinct entity and clustered closely with the Musa acuminata Colla complex of section Eumusa that has the same basic chromosome number. This relationship is congruent with previous studies. However, unlike previous proposals that questioned the identity of Rhodochlamys as a separate taxonomic unit, PCO analysis of the AFLP data showed that it is a distinct entity. Musa laterita Cheesman ( Rhodochlamys) and Musa schizocarpa Simmonds clustered with the M. acuminata complex suggesting that they may be sources of useful genes for the improvement of the cultivated bananas. Callimusa formed a distinct unit and was closer to Australimusa than to the other sections. Although both sections share the same basic chromosome number of x = 10 these sections are genetically distinct

Journal Article↗

[Analysis of genetic diversity of the mitochondrial DNA in the forensic medical expert identification of individuals].

Spectra of haplotype frequencies were studied for locuses of hypervariable segments 1 and 2 (HVS1 and HVS2), separately for each, and for linked segment HVS1-HVS2. The obtained data were used to determine the values and to evaluate comparatively the discriminating characteristics of the corresponding individualizing systems based on the typing of mtDNA. The system of typing, based on HVS2 (mv = 0.098), was found to possess the least discriminating potential; while the highest information rate is ensured in the analysis of HVS1 (m omega = 0.02) and in the joint analysis of HVS1 and HVS2 (mw = 0.007). The frequency rates of the key haplogroups were estimated within a random sampling of Russian citizens. A random population sampling of Russian citizens was shown not to differ essentially from an ethnically homogeneous population sampling of Russians selected with regard for a genetic diversity and for a spectrum of mitochondrial lines. The results point at the most rational algorithm of examinations in a forensic expert's analysis of mtDNA. The studied sampling can trigger the development of a referential data base designed for conducting, in the Russian Federation, the forensic-medical expert's examinations based on the mtDNA typing.

DNA, Mitochondrial↗

Routine nasogastric tubes are not required following cystectomy with urinary diversion: a comparative analysis of 430 patients.

PURPOSE: Postoperative nasogastric tube (NGT) use has been shown to increase postoperative morbidity in patients undergoing nonurological abdominal surgery. We examine the omission of NGTs as a method of decreasing postoperative gastrointestinal complications and hospital stay in patients undergoing cystectomy with urinary diversion. MATERIALS AND METHODS: Between January 1983 and December 2001, 430 patients underwent cystectomy with urinary diversion at our institution. We retrospectively compared patients who received postoperative NGTs with those who did not with regard to gastrointestinal recovery time, gastrointestinal complications and hospital stay. RESULTS: After correcting for confounding factors using ANCOVA the time to first bowel sounds, time to first flatus and the duration of hospitalization were shorter in patients not receiving NGTs (p = 0.006, 0.001 and 0.032, respectively). Omitting NGTs did not increase the risk of ileus, bowel obstruction, wound dehiscence, anastomotic leakage or aspiration pneumonia and it did not result in more frequent postoperative NGT placement. CONCLUSIONS: The results of the current study suggest that gastric decompression with NGTs following cystectomy with urinary diversion may prolong gastrointestinal recovery, which may be a factor leading to increased duration of hospitalization. We propose that postoperative NGTs should not be used routinely in the management of cystectomy cases.

Aged↗

Analysis of fungal diversity of grapes by application of temporal temperature gradient gel electrophoresis - potentialities and limits of the method.

AIMS: Fungi could be responsible for several problems in wines but the fungal ecosystem of grapes remains little known. The use of traditional methods does not allow to describe quickly this ecosystem. Therefore, we need to improve the knowledge about these fungi to prevent defects in wine. This study aims at evaluating the potentialities of the temporal temperature gradient gel electrophoresis (TTGE) method to describe the fungal ecosystem of grapes. METHODS AND RESULTS: The internal transcribed spacer (ITS) region was amplified and analysed using TTGE. A reference database of 56 fungal species was set up to evaluate the discrimination power of the method. The database was used for the direct identification of the fungal species present in complex samples. The sensitivity of the method is below 10(4) spores per ml. CONCLUSIONS: This method allows to describe the fungal diversity of grapes, but does not always allow to directly identify all fungal species, because of the taxonomic resolution of the ITS sequences. However, this identification strategy is less time consuming than traditional analysis by cloning and sequencing the bands. SIGNIFICANCE AND IMPACT OF THE STUDY: With this method, it will be possible to compare the fungal species present in different vineyards and to connect the presence of some fungi with particular defects in wine.

DNA, Fungal↗

Group-specific polymerase chain reaction for DNA-based analysis of species diversity and identity in dietary samples.

Unique DNA sequences are present in all species and can be used as biomarkers for the detection of cells from that species. These DNA sequences can most easily be detected using the polymerase chain reaction (PCR), which allows very small quantities of target DNA sequence to be amplified even when the target is mixed with large amounts of nontarget DNA. PCR amplification of DNA markers that are present in a wide range of species has proven very useful for studies of species diversity in environmental samples. The taxonomic range of species to be identified from environmental samples may often need to be restricted to simplify downstream analyses and to ensure that less abundant sequences are amplified. Group-specific PCR primer sets are one means of specifying the range of taxa that produce an amplicon in a PCR. We have developed a range of group-specific PCR primers for studying the prey diversity found in predator stomach contents and scats. These primers, their design and their application to studying prey diversity and identity in predator diet are described.

Animals↗

Analysis of genomic diversity among photosynthetic stem-nodulating rhizobial strains from northeast Argentina.

The genomic diversity among photosynthetic rhizobia from northeast Argentina was assessed. Forty six isolates obtained from naturally occurring stem and root nodules of Aeschynomene rudis plants were analyzed by three molecular typing methods with different levels of taxonomic resolution: repetitive sequence-based PCR (rep-PCR) genomic fingerprinting with BOX and REP primers, amplified 16S rDNA restriction analysis (ARDRA), and 16S-23S rDNA intergenic spacer-restriction fragment length polymorphism (IGS-RFLP) analysis. The in vivo absorption spectra of membranes of strains were similar in the near infrared region with peaks at 870 and 800 nm revealing the presence of light harvesting complex I, bacteriochlorophyll-binding polypeptides (LHI-Bchl complex). After extraction with acetone-methanol the spectra differed in the visible part displaying peaks belonging to canthaxanthin or spirilloxanthin as the main carotenoid complement. The genotypic characterization by rep-PCR revealed a high level of genomic diversity among the isolates and almost all the photosynthetic ones have identical ARDRA patterns and fell into one cluster different from Bradyrhizobium japonicum and Bradyrhizobium elkanii. In the combined analysis of ARDRA and rep-PCR fingerprints, 7 clusters were found including most of the isolates. Five of those contained only photosynthetic isolates; all canthaxanthin-containing strains grouped in one cluster, most of the other photosynthetic isolates were grouped in a second large cluster, while the remaining three clusters contained a few strains. The other two clusters comprising reference strains of B. japonicum and B. elkanii, respectively. The IGS-RFLP analysis produced similar clustering for almost all the strains. The 16S rRNA gene sequence of one representative isolate was determined and the DNA sequence analysis confirmed the position of photosynthetic rhizobia in a distinct phylogenetic group within the Bradyrhizobium rDNA cluster.

Argentina↗

[RAPD analysis for genetic diversity of Chrysanthemum morifolium].

OBJECTIVE: To investigate the genetic diversity of Chrysanthemum morifolium at the level of molecular biology. METHOD: The total genomic DNA was extracted from medicinal chrysanthemums by 2% CTAB method. And the genetic diversity of 22 C. morifolium accessions was tested by RAPD marks. The NTSYS software was used to analyze the marks. RESULT: 26 10-mer arbitrary primers were found to acquire polymophic results. A total of 233 bands were amplified, of which 89.7% bands were found to be polymophic. 8.04 polymophic bands were amplified by each primer on the average. The results of cluster analysis by using UPGMA method showed that all the tested accessions could be differentiated by RAPD marks. CONCLUSION: There actually existed much genetic diversity at the molecular level among the germplasm resources of C. morifolium. RAPD marks could be effective tools to construct DNA fingerprintings of C. morifolium. The differences between the tested chrysanthemums are related to the environments. However, it was affected by genetic facters more significantly.

China↗

Genetic Diversity and Species-Diagnostic Markers of Mud Crabs (Genus Scylla) in Eastern Thailand Determined by RAPD Analysis.

Genetic diversity of three mud crab species, Scylla serrata (Forskål), S. oceanica (Dana), and S. tranquebarica (Fabricius), collected from two locations in eastern Thailand (Chanthaburi and Trat) was examined by randomly amplified polymorphic DNA-polymerase chain reaction (RAPD-PCR). Ninety-one reproducible RAPD fragments, generated by UBC456, UBC457, and YNZ22, were polymorphic. The percentage of polymorphic bands within populations ranged from 47.92% to 77.59%. Species-specific RAPD markers were also observed and used to construct a molecular diagnostic key in these taxa. Large genetic differences between species were found (D(ij) = 0.425 to 0.751), whereas those between populations within each species were much lower (D(ij) = 0.171 to 0.199). The neighbor-joining tree based on genetic distances among pairs of individuals indicated three distinct groups, corresponding to S. serrata, S. oceanica, and S. tranquebarica. No genotypes were shared among these three species. This suggests the absence of genetic exchanges between sympatric mud crab species in eastern Thailand. Therefore, mud crabs in this area should be recognized as three different species rather than a single panmictic species exhibiting different morphs.

Journal Article↗

Comparative analysis of genetic diversity in the mangrove species Avicennia marina (Forsk.) Vierh. (Avicenniaceae) detected by AFLPs and SSRs.

Avicennia marina is an important mangrove species with a wide geographical and climatic distribution which suggests that large amounts of genetic diversity are available for conservation and breeding programs. In this study we compare the informativeness of AFLPs and SSRs for assessing genetic diversity within and among individuals, populations and subspecies of A. marina in Australia. Our comparison utilized three SSR loci and three AFLP primer sets that were known to be polymorphic, and could be run in a single analysis on a capillary electrophoresis system, using different- colored fluorescent dyes. A total of 120 individuals representing six populations and three subspecies were sampled. At the locus level, SSRs were considerably more variable than AFLPs, with a total of 52 alleles and an average heterozygosity of 0.78. Average heterozygosity for AFLPs was 0.193, but all of the 918 bands scored were polymorphic. Thus, AFLPs were considerably more efficient at revealing polymorphic loci than SSRs despite lower average heterozygosities. SSRs detected more genetic differentiation between populations (19 vs 9%) and subspecies (35 vs 11%) than AFLPs. Principal co-ordinate analysis revealed congruent patterns of genetic relationships at the individual, population and subspecific levels for both data sets. Mantel testing confirmed congruence between AFLP and SSR genetic distances among, but not within, population comparisons, indicating that the markers were segregating independently but that evolutionary groups (populations and subspecies) were similar. Three genetic criteria of importance for defining priorities for ex situ collections or in situ conservation programs (number of alleles, number of locally common alleles and number of private alleles) were correlated between the AFLP and SSR data sets. The congruence between AFLP and SSR data sets suggest that either method, or a combination, is applicable to expanded genetic studies of mangroves. The codominant nature of SSRs makes them ideal for further population-based investigations, such as mating-system analyses, for which the dominant AFLP markers are less well suited. AFLPs may be particularly useful for monitoring propagation programs and identifying duplicates within collections, since a single PCR assay can reveal many loci at once.

Journal Article↗

A multiple-pattern biosequence analysis method for diverse source association mining.

BACKGROUND: In order to understand the intricacy of biomolecules more comprehensively, significant patterns extracted from related data collected from diverse sources must be integrated. These data sources may be local or distributed, possibly with different representation schemes. Often, related data from different sources correspond only with respect to some of their values. METHODS: In biological sequence analysis, a goal is to identify new, previously unknown, relevant patterns, to obtain additional insights into the biomolecule. This is known as a pattern discovery task, rather than a pattern matching task. In this research, we present a method to tackle this problem typically found in molecular sequence analysis when the alignment of the sequences is represented as a relation. In this article, we propose an information measure to select attribute values that reflect multiple patterns of significant interdependence information. Based on these selected values, the patterns are evaluated with data values from other sources. RESULTS: In the experiments, a cancer-suppressor gene known as TP53 (encoding tumour protein p53) is analysed with the mutation records of patients. The experiments identify previously unknown points in the molecule that have patterns negatively associated with the occurrence of cancer. CONCLUSION: Since the evaluated interdependence pattern is a global property of the molecule, we conjecture that the identified points might also be a reflection of the molecule's cancer-suppressor characteristics. The experiments also confirm the usefulness of the proposed method.

Amino Acid Sequence↗

A comparative analysis of genetic diversity in blackgram genotypes using RAPD and ISSR markers.

Random amplified polymorphic DNA (RAPD) and inter-simple sequence repeat (ISSR) markers were used to study the DNA polymorphism in elite blackgram genotypes. A total of 25 random and 16 ISSR primers were used. Amplification of genomic DNA of the 18 genotypes, using RAPD analysis, yielded 104 fragments that could be scored, of which 44 were polymorphic, with an average of 1.8 polymorphic fragments per primer. Number of amplified fragments with random primers ranged from two (OPA-13) to nine (OPK-4) and varied in size from 200 bp to 2,500 bp. Percentage polymorphism ranged from 16.6% (OPK-7) to a maximum of 66.6% (OPE-5, OPH-2, and OPK-8), with an average of 42.7%. The 16 ISSR primers used in the study produced 101 bands across 18 genotypes, of which 55 were polymorphic. The number of amplified bands varied from two (ISSR 858) to ten (ISSR 810), with a size range of 200-2,200 bp. The average numbers of bands per primer and polymorphic bands per primer were 6.3 and 3.4, respectively. Percentage polymorphism ranged from 25% (ISSR 885) to 100% (ISSR 858), with an average percentage polymorphism of 57.5% across all the genotypes. The 3'-anchored primers based on poly(GA) and poly(AG) motifs produced high average polymorphisms of 54.98% and 58.32%, respectively. ISSR markers were more efficient than the RAPD assay, as they detected 57.4% polymorphic DNA markers in Vigna mungo as compared to 42.7% for RAPD markers. The Mantel test between the two Jaccard's similarity matrices gave r=0.32, showing low correlation between RAPD- and ISSR-based similarities. Clustering of genotypes within groups was not similar when RAPD and ISSR derived dendrogram were compared, whereas the pattern of clustering of the genotypes remained more or less the same in ISSR and combined data of RAPD and ISSR.

Cluster Analysis↗