A new method for RAPD primers selection based on primer bias in nucleotide sequence data

A soft computing tool for species classification and prediction of glucomannan content in Amorphophallus genus

The proposed work aims at designing a classification system for automatic identification of A. muelleri species, grown as a potential cash crop in many Asian countries, from the DNA fingerprints of Amorphophallus genus. Four sets of 48 DNA fingerprints belonging to 37 species of the Amorphophallus genus, developed with the help of four different primers are considered for the experiment, with an objective to identify only the fingerprints of the species of interest. A second experimental setup deals with the automatic classification of species containing high amounts of glucomannan from the same set of DNA fingerprints of the Amorphophallus genus. For each set of 48 DNA fingerprints generated with a specific primer, the DNA fingerprints are preprocessed to extract a 42 dimensional feature vector which is used to generate a k-Nearest Neighbor based classifier based on the Leave One Out Cross Validation protocol. Final classification based on outputs from individual classifiers constructed with respect to the four different primers is performed according to a n-star consensus strategy. The n-star consensus predicts species A. muelleri with cent per cent accuracy while it predicts species containing glucomannan with a more modest accuracy of 81.25%.

Direct assessment of viral diversity in soils by random PCR amplification of polymorphic DNA

Viruses are the most abundant and diverse biological entities within soils, yet their ecological impact is largely unknown. Defining how soil viral communities change with perturbation or across environments will contribute to understanding the larger ecological significance of soil viruses. A new approach to examining the composition of soil viral communities based on random PCR amplification of polymorphic DNA (RAPD-PCR) was developed. A key methodological improvement was the use of viral metagenomic sequence data for the design of RAPD-PCR primers. This metagenomically informed approach to primer design enabled the optimization of RAPD-PCR sensitivity for examining changes in soil viral communities. Initial application of RAPD-PCR viral fingerprinting to soil viral communities demonstrated that the composition of autochthonous soil viral assemblages noticeably changed over a distance of meters along a transect of Antarctic soils and across soils subjected to different land uses. For Antarctic soils, viral assemblages segregated upslope from the edge of dry valley lakes. In the case of temperate soils at the Kellogg Biological Station, viral communities clustered according to land use treatment. In both environments, soil viral communities changed along with environmental factors known to shape the composition of bacterial host communities. Overall, this work demonstrates that RAPD-PCR fingerprinting is an inexpensive, high-throughput means for addressing first-order questions of viral community dynamics within environmental samples and thus fills a methodological gap between narrow single-gene approaches and comprehensive shotgun metagenomic sequencing for the analysis of viral community diversity.

In Silico RAPD Priming Sites in Expressed Sequences and iSCAR Markers for Oil Palm

RAPD is a simple dominant marker system widely used in biology. Effectiveness of RAPD can be improved by selecting and redesigning primers whose priming sites occur in target sequence(s) of gene or organism at optimum distance. We developed software that uses sequences of random decamer primers and nucleotide sequence(s) as two input files. It locates the priming sites in input sequences and generates output files listing frequency and distance between priming sites. When the priming sites of a single primer occur more than once in a sequence with a distance of 200 to 2000 bp, the software also designs pairs of iSCAR primers. An input of 387 RAPD primers and 42,432 expressed sequences of oil palm are used as test. Wet-lab PCR results from a publication that used the same set of primers were compared with software output on priming sites. In the test sequences of oil palm covering 1.4% of genome, we found that at least 60% the primers chosen using software are sure of giving PCR amplification. We designed 641 iSCAR primers suitable for amplification of oil palm DNA. The software successfully predicted 92% (67 out of 73) of published polymorphic RAPD primers in oil palm.