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PubMed2006

JEDA: Joint entropy diversity analysis. An information-theoretic method for choosing diverse and representative subsets from combinatorial libraries.

The joint entropy-based diversity analysis (JEDA) program is a new method of selecting representative subsets of compounds from combinatorial libraries. Similar to other cell-based diversity analyses, a set of chemical descriptors is used to partition the chemical space of a library of compounds; however, unlike other metrics for choosing a compound from each partition, a Shannon-entropy based scoring function implemented in a probabilistic search algorithm determines a representative subset of compounds. This approach enables the selection of compounds that are not only diverse but that also represent the densities of chemical space occupied by the original chemical library. Additionally, JEDA permits the user to define the size of the subset that the chemist wishes to create so that restrictions on time and chemical reagents can be considered. Subsets created from a chemical library by JEDA are compared to subsets obtained using other partition-based diversity analyses, namely principal components analysis and median partitioning, on a combinatorial library derived from the Comprehensive Medical Chemistry Dataset.

Chemistry, Pharmaceutical↗

PubMed2004

Computational techniques for diversity analysis and compound classification.

Molecular similarity and diversity analysis has played a significant role in computer-aided drug discovery for more than a decade. Compound classification methods have also become increasingly important for the design and organization of compound databases and in silico screening. Here we review these related methodologies and discuss selected applications.

Cluster Analysis↗

PubMed2004

[Genetic diversity analysis of brown cotton and green cotton].

Genetic diversity analysis of brown cotton Xincai 1 and Xincai 2 and green cotton Xincai 3 and Xincai 4 and other 47 color cottons was conducted by the random amplified polymorphism DNA (RAPD) techniques, using 6 random primers. Cluster and similarity analysis of these cottons showed that the differences in genetic relationship and similarity among the brown cottons, green cottons and brown-green cottons are not remarkable. The results also reflect that the genetic bases of the brown and green cottons are narrow, and they are at the same genetic diversity level. These results are probably due to the same basic germplasms, the same breeding aims and the similar breeding approaches.

Cluster Analysis↗

PubMed1997

Computational approaches for combinatorial library design and molecular diversity analysis.

New approaches for combinatorial library design and molecular diversity analysis have been developed by extending previous work from the fields of quantitative structure-activity relationship, computational chemistry, and chemical information. Recent work has begun to address design efficiency and validation of descriptors for combinatorial library design.

Chemistry, Organic↗

PubMed2006

MolDIA: XML based system of molecular diversity analysis towards virtual screening and QSPR.

In this paper a new chemoinformatics tool for Molecular Diversity Analysis (MolDIA) is introduced. The objective of this system is the analysis of molecular similarity and diversity through the treatment of structural and physicochemical information. Current needs for chemical databases include the analysis, the management and the retrieval of chemical information. The implementation of eXtended Markup Languages (XML) is proposed as a basis for representing and structuring the chemical information contained in data structures and databases. The adequate descriptor vector and related physicochemical properties have been defined and constructed. The benefits of XML in chemoinformatics are discussed, as well as, the applications of this system in a virtual screening environment.

Computational Biology↗

PubMed2005

Development of ESTs from chickpea roots and their use in diversity analysis of the Cicer genus.

BACKGROUND: Chickpea is a major crop in many drier regions of the world where it is an important protein-rich food and an increasingly valuable traded commodity. The wild annual Cicer species are known to possess unique sources of resistance to pests and diseases, and tolerance to environmental stresses. However, there has been limited utilization of these wild species by chickpea breeding programs due to interspecific crossing barriers and deleterious linkage drag. Molecular genetic diversity analysis may help predict which accessions are most likely to produce fertile progeny when crossed with chickpea cultivars. While, trait-markers may provide an effective tool for breaking linkage drag. Although SSR markers are the assay of choice for marker-assisted selection of specific traits in conventional breeding populations, they may not provide reliable estimates of interspecific diversity, and may lose selective power in backcross programs based on interspecific introgressions. Thus, we have pursued the development of gene-based markers to resolve these problems and to provide candidate gene markers for QTL mapping of important agronomic traits. RESULTS: An EST library was constructed after subtractive suppressive hybridization (SSH) of root tissue from two very closely related chickpea genotypes (Cicer arietinum). A total of 106 EST-based markers were designed from 477 sequences with functional annotations and these were tested on C. arietinum. Forty-four EST markers were polymorphic when screened across nine Cicer species (including the cultigen). Parsimony and PCoA analysis of the resultant EST-marker dataset indicated that most accessions cluster in accordance with the previously defined classification of primary (C. arietinum, C. echinospermum and C. reticulatum), secondary (C. pinnatifidum, C. bijugum and C. judaicum), and tertiary (C. yamashitae, C. chrossanicum and C. cuneatum) gene-pools. A large proportion of EST alleles (45%) were only present in one or two of the accessions tested whilst the others were represented in up to twelve of the accessions tested. CONCLUSION: Gene-based markers have proven to be effective tools for diversity analysis in Cicer and EST diversity analysis may be useful in identifying promising candidates for interspecific hybridization programs. The EST markers generated in this study have detected high levels of polymorphism amongst both common and rare alleles. This suggests that they would be useful for allele-mining of germplasm collections for identification of candidate accessions in the search for new sources of resistance to pests / diseases, and tolerance to abiotic stresses.

Biomarkers↗

PubMed2006

Genetic diversity analysis of traditional and improved Indonesian rice (Oryza sativa L.) germplasm using microsatellite markers.

The archipelago of Indonesia has a long history of rice production across a broad range of rice-growing environments resulting in a diverse array of local Indonesian rice varieties. Although some have been incorporated into modern breeding programs, the vast majority of these landraces remain untapped. To better understand this rich source of genetic diversity we have characterized 330 rice accessions, including 246 Indonesian landraces and 63 Indonesian improved cultivars, using 30 fluorescently-labeled microsatellite markers. The landraces were selected across 21 provinces and include representatives of the classical subpopulations of cere, bulu, and gundil rices. A total of 394 alleles were detected at the 30 simple sequence repeat loci, with an average number of 13 alleles per locus across all accessions, and an average polymorphism information content value of 0.66. Genetic diversity analysis characterized the Indonesian landraces as 68% indica and 32% tropical japonica, with an indica gene diversity of 0.53 and a tropical japonica gene diversity of 0.56, and a Fst of 0.38 between the two groups. All of the improved varieties sampled were indica, and had an average gene diversity of 0.46. A set of high quality Indonesian varieties, including Rojolele, formed a separate cluster within the tropical japonicas. This germplasm presents a valuable source of diversity for future breeding and association mapping efforts.

Chromosomes, Plant↗

PubMed2006

Extraction of inhibitor-free metagenomic DNA from polluted sediments, compatible with molecular diversity analysis using adsorption and ion-exchange treatments.

PCR inhibitor-free metagenomic DNA of high quality and high yield was extracted from highly polluted sediments using a simple remediation strategy of adsorption and ion-exchange chromatography. Extraction procedure was optimized with series of steps, which involved gentle mechanical lysis, treatment with powdered activated charcoal (PAC) and ion-exchange chromatography with amberlite resin. Quality of the extracted DNA for molecular diversity analysis was tested by amplifying bacterial 16S rDNA (16S rRNA gene) with eubacterial specific universal primers (8f and 1492r), cloning of the amplified 16S rDNA and ARDRA (amplified rDNA restriction analysis) of the 16S rDNA clones. The presence of discrete differences in ARDRA banding profiles provided evidence for expediency of the DNA extraction protocol in molecular diversity studies. A comparison of the optimized protocol with commercial Ultraclean Soil DNA isolation kit suggested that method described in this report would be more efficient in removing metallic and organic inhibitors, from polluted sediment samples.

Adsorption↗

PubMed2004

Functional gene diversity analysis in BTEX contaminated soils by means of PCR-SSCP DNA fingerprinting: comparative diversity assessment against bacterial isolates and PCR-DNA clone libraries.

Developments in molecular biology based techniques have led to rapid and reliable tools to characterize microbial community structures and to monitor their dynamics under in situ conditions. However, there has been a distinct lack of emphasis on monitoring the functional diversity in the environment. Genes encoding catechol 2,3-dioxygenases (C23O), as key enzymes of various aerobic aromatic degradation pathways, were used as functional targets to assess the catabolic gene diversity in differentially BTEX contaminated environments by polymerase chain reaction-single-strand conformation polymorphism (PCR-SSCP). Site specific PCR-SSCP fingerprints were obtained, showing that gene diversity experienced shifts correlated to temporal changes and levels of contamination. PCR-SSCP enabled the recovery of predominant gene polymorphs, and results closely matched with the information retrieved from random sequencing of PCR-DNA clone libraries. A new method for isolating strains capable of growing on BTEX compounds was developed to diminish preselection or enrichment bias and to assess the function of predominant gene polymorphs. C23O abundance in isolates correlated with the levels of BTEX pollution in the soil samples analysed. Isolates harbouring C23O genes, identical to the gene polymorph predominant in all contaminated sites analysed, showed an unexpected benzene but not toluene mineralizing phenotype whereas isolates harbouring a C23O gene variant differing by a single point mutation and observed in highly polluted sites only, were capable, among some other isolates, to mineralize benzene and toluene, indicating a catabolically determined sharing of carbon sources on-site. The PCR-SSCP technique is thus a powerful tool for assessing the diversity of functional genes and the identification of predominant gene polymorphs in environmental samples as a prerequisite to understand the functioning of microbial communities.

DNA Fingerprinting↗

PubMed2026

Genetic Diversity Analysis of Red Fox Populations (Vulpes vulpes L., 1758) in Natural and Anthropogenic Isolation.

This study presents a comparative analysis of the genetic structure and diversity of three red fox (Vulpes vulpes L.) populations representing different microevolutionary scenarios: panmixia (free-ranging Belarusian foxes), geographic isolation (free-ranging Scottish foxes), and anthropogenic selection (farm-bred foxes). Using a validated set of STR markers, multivariate statistical analysis was conducted to assess the genetic structure and the degree of genetic erosion across the studied groups. The wild red fox population in Belarus has been shown to maintain a state close to panmixia (PHWE = 0.090), characterized by a high effective population size (Ne = 694) and high allelic diversity. The island population from Scotland exhibits moderate gene pool depletion (Ne = 75.9) and a pronounced heterozygote deficiency (FIS = 0.18). Critical genetic erosion, which was characterized by a minimal effective population size (Ne = 60.2) and allelic fixation, was detected in the farm-bred group. The genetic distance between farm-bred and wild foxes (FST = 0.279; p = 0.001) reflects both the phylogeographic divergence between the Nearctic ancestors of farmed lineages and Palearctic wild populations, and the consequences of prolonged anthropogenic isolation, genetic drift, and selective breeding. These data indicate that artificial isolation and the impacts of genetic drift and targeted selection lead to a substantial depletion of the species' adaptive potential.

Animals↗

PubMed2005

Investigation of the microbial ecology of intertidal hot springs by using diversity analysis of 16S rRNA and chitinase genes.

The microbial diversity of intertidal hot springs on the seashore of northwest Iceland was examined by combining directed in situ enrichments, artificial support colonization, and mat sampling. Analysis of 16S rRNA genes revealed the presence of clones related to both marine and terrestrial, thermophilic, mesophilic, and psychrophilic microorganisms scattered among 11 bacterial divisions. No archaea were found. The species composition of the enrichments was affected by the length of the hot periods experienced at low tide and was very different from those found in the biomass. A total of 36 chitinase genes were detected by molecular screening of the samples with degenerate primers for glycoside hydrolase family 18. The chitinase gene diversity was at least twofold higher in the enrichment samples than in the controls, indicating that a much higher diversity of hydrolytic genes can be accessed with this approach.

Bacteria↗

PubMed2006

Microsatellite-based diversity analysis and genetic relationships of three Indian sheep breeds.

The genetic structure of three Indian sheep breeds from two different geographical locations (Nali, Chokla from north-western arid and semi-arid region; Garole from eastern saline marshy region) of India was investigated by means of 11 ovine-specific microsatellite markers as proposed in FAOs MoDAD programme. Microsatellite analysis revealed high allelic and gene diversity in all the three breeds. Nali sheep showed higher mean number of alleles and gene diversity (6.27 and 0.65) than Chokla (5.63 and 0.64) and Garole (5.63 and 0.59). High within population inbreeding estimates observed in the three breeds (FIS, Chokla = 0.286, Nali = 0.284, Garole = 0.227) reflected deficit of heterozygotes. The overall estimates for F-statistics were significantly (p < 0.05) different from zero. High values of FST (0.183) across all the loci revealed substantial degree of breed differentiation. Based on pair wise FST and Nm between different breeds, Nali and Chokla (FST = 6.62% and Nm = 4.80) were observed to be the closest followed by Garole and Nali (FST = 20.9% and Nm = 1.80), and Garole and Chokla (FST = 21.4% and Nm = 1.71). In addition, genetic distance estimates, phylogeny analysis and individual assignment test used to evaluate interbreed genetic proximity and population structure also revealed substantial genetic differentiation between Garole and the other two Rajasthani (Nali and Chokla) sheep. This divergent status of Garole sheep indicated genetic uniqueness of this breed suggesting higher priority for its conservation.

Animals↗

PubMed2000

Genetic diversity analysis of Rhodothermus reflects geographical origin of the isolates.

The genetic diversity and relationships of 81 Rhodothermus isolates from different geothermal environments in Iceland were examined by analysis of electrophoretically demonstrable allelic variation of 13 genes encoding enzymes. All the enzymes were polymorphic. A total of 71 distinctive multilocus genotypes (electrophoretic types, ETs) were identified. The mean genetic diversity per locus (H1) was 0.586. The relatively high genetic variance observed within Rhodothermus isolates from different locations is most likely the result of genetic changes occurring independently in the locations studied. A high Gst value (0.284) indicates that a considerable part of the variance observed is due to differences between locations. Cluster analysis revealed two major groups of ET clusters diverging at a genetic distance of 0.75, reflecting strongly the geographic origin of isolates. Estimation of the association index (I(A)) indicates that Rhodothermus marinus is a clonal species in which recombination events occur rarely. Partial or whole sequencing of the 16S rRNA genes of Rhodothermus isolates grouping at genetic distance of 0.40 confirmed that all the isolates belonged to the species Rhodothermus marinus. The results of this study confirm that, despite phylogenetic and phenotypic similarity, genetic diversity within Rhodothermus marinus is quite high.

Alleles↗

PubMed2001

DNA extraction from soils: old bias for new microbial diversity analysis methods.

The impact of three different soil DNA extraction methods on bacterial diversity was evaluated using PCR-based 16S ribosomal DNA analysis. DNA extracted directly from three soils showing contrasting physicochemical properties was subjected to amplified ribosomal DNA restriction analysis and ribosomal intergenic spacer analysis (RISA). The obtained RISA patterns revealed clearly that both the phylotype abundance and the composition of the indigenous bacterial community are dependent on the DNA recovery method used. In addition, this effect was also shown in the context of an experimental study aiming to estimate the impact on soil biodiversity of the application of farmyard manure or sewage sludge onto a monoculture of maize for 15 years.

Bacteria↗

PubMed2006

A high degree of HLA disparity arises from limited allelic diversity: analysis of 1775 unrelated bone marrow transplant donor-recipient pairs.

The allelic diversity and associated human leukocyte antigen (HLA) disparity of 1775 bone marrow recipients and their unrelated donors, matched for six of six (1361/1775,77%), five of six (397/1775, 22%), or four of six (17/1775, 1%) HLA-A, -B, -DR antigens, were retrospectively evaluated. The comprehensive HLA analysis included the class I (A, B, C) and II (DRB1, DQA1, DQB1, DPA1, DPB1) loci. Most (>66%) of the predominantly Caucasian study population carried one or two of five to seven common alleles at each HLA locus. In spite of this limited diversity, 29% of the six of six antigen-matched transplants carried allele mismatches at HLA-A, -B, and/or -DRB1, and 92% carried at least one allele mismatch at one of the eight HLA loci tested. Of the 968 HLA-A,-B,-DRB1 allele-matched pairs, 89% carried mismatches at other HLA loci, predominantly at DP loci. The substantially greater than expected HLA allelic disparity between donor and recipient suggests extensive haplotypic diversity and underscores the importance of enhancing approaches to mitigate the deleterious effect of HLA mismatches.

Alleles↗

PubMed2003

Use of alignment-free molecular descriptors in diversity analysis and optimal sampling of molecular libraries.

The selection of a sample of diverse compounds is a common strategy for exploring large molecular libraries. However, the success of such approach depends on the selection of relevant molecular descriptors and the use of appropriate sampling methods. In the context of pharmaceutical research, the molecular descriptors should be based on physicochemical properties related with the pharmacological behaviour of the compounds. In this sense, the alignment-free GRIND and VolSurf molecular descriptors are promising candidates since they have been successfully used in the modelling of both pharmacodynamic and pharmacokinetic properties of drugs. This work describes the use of such descriptors in the diversity sampling of a library of primary amines and compares the results with those obtained in a previous study that used quantum-mechanical descriptors. As in the previous work, principal component (PC) analysis was applied to reduce the dimensionality and remove redundant information of the original descriptors, and the compounds were sampled on the basis of k-means clustering on the space of the selected PCs. The results of the present study show that VolSurf and GRIND provide similar quality sampling regarding global features of the molecules such as hydrophilicity, however the topology of the compounds is considered differently. The similarity between particular compounds strongly depends on the original descriptors used. However all the sample selections done in the PC space after k-means clustering provide the same apparent diversity in comparison to the whole dataset. The results indicate that there is no best set of descriptors on a diversity basis. The selection of descriptors must be based on the drug features to be investigated.

Combinatorial Chemistry Techniques↗

PubMed2003

[Genetic diversity analysis of Chinese stylo anthracnose pathogens using random amplified polymorphic DNA].

Genetic diversity of 43 Colletotrichum gloeosporioides isolates from stylo in China were analyzed using random amplified polymorphic DNA (RAPD) with eight arbitrary 10-base oligonucleotide primers compared with 276 isolates from other countries including two of Colletotrichum cutaturn based on a wide survey and disease sample collection. The results showed a good DNA polymorphism between isolates. The amplified fragments were between 0.3-2.8 kb. Chinese isolates were grouped in clusters II, III and VI with the majority in cluster VI based on six clusters of isolates from South America, the centre of origin of Stylosanthes genus. The genetic variation in the Chinese pathogen population was very limited compared with that in South America, the centre of host-pathogen diversity. The results also showed that a genetic variation in Chinese population of Colletotrichum gloeosporioides existed, though this variation was less significant. Isolates grouped by geographic origin and host species or genotypes indicated isolates from different host species or genotypes had their own parasitic specialization on genetic basis and pathogens from different countries evolved in their own way relatively.

China↗

PubMed2005

RT-PCR-RFLP for genetic diversity analysis of Tunisian Grapevine fanleaf virus isolates in their natural host plants.

Genetic diversity was characterized in 20 isolates of Grapevine fanleaf virus (GFLV) recovered from naturally infected grapevine plants (Vitis vinifera) in the North of Tunisia. Viral RNAs were isolated by oligoprobe capture, and a 605 bp fragment containing a part of the viral coat protein gene was amplified by RT-PCR. Sequence variation among isolates was characterized by restriction fragment length polymorphism (RFLP) analysis and confirmed by sequencing. The GFLV infections are found as a complex mixture of closely related genomes. In further studies, RFLP analyses of virus isolates using AluI showed that GFLV populations in Tunisian vineyards consist of two restrictotypes corresponding to distinct sub-populations Sp1 and Sp2. The relative field distribution of these sub-populations showed that Sp2 was more abundant. Individual genomes were recovered by cloning the RT-PCR products. The sequences were found to vary from each other by as much as 11%. Cloning from mixed infections showed that Sp2 are also predominant.

Genetic Variation↗