Classification of rice germplasm. I. Analysis using ALP and PCR-based RFLP

An application of kernel methods to variety identification based on SSR markers genetic fingerprinting

BACKGROUND

In crop production systems, genetic markers are increasingly used to distinguish individuals within a larger population based on their genetic make-up. Supervised approaches cannot be applied directly to genotyping data due to the specific nature of those data which are neither continuous, nor nominal, nor ordinal but only partially ordered. Therefore, a strategy is needed to encode the polymorphism between samples such that known supervised approaches can be applied. Moreover, finding a minimal set of molecular markers that have optimal ability to discriminate, for example, between given groups of varieties, is important as the genotyping process can be costly in terms of laboratory consumables, labor, and time. This feature selection problem also needs special care due to the specific nature of the data used.

RESULTS

An approach encoding SSR polymorphisms in a positive definite kernel is presented, which then allows the usage of any kernel supervised method. The polymorphism between the samples is encoded through the Nei-Li genetic distance, which is shown to define a positive definite kernel between the genotyped samples. Additionally, a greedy feature selection algorithm for selecting SSR marker kits is presented to build economical and efficient prediction models for discrimination. The algorithm is a filter method and outperforms other filter methods adapted to this setting. When combined with kernel linear discriminant analysis or kernel principal component analysis followed by linear discriminant analysis, the approach leads to very satisfactory prediction models.

CONCLUSIONS

The main advantage of the approach is to benefit from a flexible way to encode polymorphisms in a kernel and when combined with a feature selection algorithm resulting in a few specific markers, it leads to accurate and economical identification models based on SSR genotyping.

Evaluation of genome-derived amplicon length polymorphism PCR primers for the genetic evaluation of related strains of Salmonella

AIMS

The intent of this study is to exploit both the genetic diversity and conservation demonstrated between the Salmonella enterica ssp. enterica serovar Typhi CT18 and Salm. enterica ssp. enterica serovar Typhimurium LT2 genomes by utilizing amplicon length polymorphism (ALP) to detect and differentiate various Salmonella strains.

METHODS AND RESULTS

Methods of ALP-PCR analysis were developed based on identifying DNA sequence deletions within highly homologous regions of the Salm. Typhi CT18 and Salm. Typhimurium LT2 genomes. This study describes the application of genome-based ALP-PCR using primer pairs designed to detect genomic differences present within both Salmonella genomes and evaluated against a reference set of Salmonella strains.

CONCLUSIONS

This study defines a collection of primer sequences broadly distributed along the Salmonella genome that can differentiate various Salmonella strains.

SIGNIFICANCE AND IMPACT OF THE STUDY

Genome-based ALP-PCR provides a useful and powerful analytical method to evaluate variability within a group of Salmonella strains independent of serological, phenotypic or other molecular approaches.

Design and evaluation of PCR primers which differentiate Escherichia coli O157:H7 and related serotypes

AIMS

To develop methods to differentiate Escherichia coli O157:H7 and related serotypes by the use of amplicon length polymorphism (ALP) analysis based on identifying DNA sequence deletions within highly homologous regions of three sequenced E. coli strains.

METHODS AND RESULTS

Potential primer locations along the ancestral genomic backbone were identified and evaluated against three sequenced genomes and then applied to a reference set of pathogenic E. coli strains. All 16 primer combinations generated the expected diagnostic fragments as predicted for the E. coli K12 MG1655, O157:H7 EDL933, and O157:H7B Sakai genomes.

CONCLUSIONS

This study defines a collection of primers distributed along the length of the E. coli genome that were applied to ALP analysis methods to successfully differentiate between serotypes of E. coli O157:H7 and other E. coli serotypes.

SIGNIFICANCE AND IMPACT OF THE STUDY

ALP-PCR analysis method was validated as an independent method of classification when compared with that of rep-PCR. The principles underlying ALP analysis can be readily applied for the detection and differentiation of other closely related microbial species because of the abundance of complete DNA sequence data for a large number of microbial genomes.

Grass consensus STS markers: an efficient approach for detecting polymorphism in Lolium

For ryegrass and many forage crops, characterization of varieties is often difficult for two reasons: few of discriminant morphological traits and a great within-varieties variation. Futhermore, few molecular markers are publicly accessible. In this paper we describe two approaches for the development of 42 sequence-tagged-site (STS) markers. Firstly, 14 STS markers were developed from Lolium sequences found in data bases. Secondly, 28 STS markers were developed from sequences found in related species of Gramineae. Out of 42 STS markers developed, 85.8% yielded successfull amplification and 62% revealed a high level of polymorphism with an average of five alleles per locus. The analysis of amplicons reveals a high STS marker specificity, a high conservation in gene structure and a strong intron sequence homology between allelic forms. Moreover, the majority of the STS markers can be considered as "universal markers" because 81% of these STS markers amplified successfully across 20 related grass species. These results permit us to consider the use of these markers in synteny studies.

Sequence-tagged-site (STS) markers of arbitrary genes: development, characterization and analysis of linkage in black spruce

Sequence-tagged-site (STS) markers of arbitrary genes were investigated in black spruce [Picea mariana (Mill.) B.S.P.]. Thirty-nine pairs of PCR primers were used to screen diverse panels of haploid and diploid DNAs for variation that could be detected by standard agarose gel electrophoresis without further manipulation of amplification products. Codominant length polymorphisms were revealed at 15 loci. Three of these loci also had null amplification alleles as did 3 other loci that had no apparent product-length variation. Dominant length polymorphisms were observed at 2 other loci. Alleles of codominant markers differed in size by as little as 1 bp to as much as an estimated 175 bp with nearly all insertions/deletions found in noncoding regions. Polymorphisms at 3 loci involved large (33 bp to at least 114 bp) direct repeats and similar repeats were found in 7 of 51 cDNAs sequenced. Allelic segregation was in accordance with Mendelian inheritance and linkage was detected for 5 of 63 pairwise combinations of loci tested. Codominant STS markers of 12 loci revealed an average heterozygosity of 0.26 and an average of 2.8 alleles in a range-wide sample of 22 trees.