G.M.M. Bredemeijer

Bio: G.M.M. Bredemeijer is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Microsatellite & Amplified fragment length polymorphism. The author has an hindex of 9, co-authored 9 publications receiving 1696 citations.

Reproducibility testing of RAPD, AFLP and SSR markers in plants by a network of European laboratories

Abstract: A number of PCR-based techniques can be used to detect polymorphisms in plants. For their wide-scale usage in germplasm characterisation and breeding it is important that these marker technologies can be exchanged between laboratories, which in turn requires that they can be standardised to yield reproducible results, so that direct collation and comparison of the data are possible. This article describes a network experiment involving several European laboratories, in which the reproducibility of three popular molecular marker techniques was examined: random-amplified fragment length polymorphism (RAPD), amplified fragment length polymorphism (AFLP) and sequence-tagged microsatellites (SSR). For each technique, an optimal system was chosen, which had been standardised and routinely used by one laboratory. This system (genetic screening package) was distributed to different participating laboratories in the network and the results obtained compared with those of the original sender. Different experiences were gained in this exchange experiment with the different techniques. RAPDs proved difficult to reproduce. For AFLPs, a single-band difference was observed in one track, whilst SSR alleles were amplified by all laboratories, but small differences in their sizing were obtained.

Use of short microsatellites from database sequences to generate polymorphisms among Lycopersicon esculentum cultivars and accessions of other Lycopersicon species

Abstract: A search of nearly 2000 sequences from Solanaceae species in the EMBL and Genbank databases yielded 220 microsatellites. Among these were 80 microsatellites from 675 Lycopersicon entries. Dinucleotide repeats, as well as (CAA)n and (TAA)n repeats, were over-represented in non-coding DNA. The other trinucleotide repeats were predominantly found in exonic DNA. PCR analysis of 44 of the microsatellite-containing Lycopersicon loci identified 36 primer pairs that yielded well-scorable fragments, or groups of fragments, in L. esculentum cultivars and accessions of Lycopersicon species. Twenty-nine of these amplified bands that were polymorphic among the four Lycopersicon species. Ten primer pairs generated polymorphic bands among seven tomato cultivars. Upon examining the number of microsatellites and the degree of polymorphisms in relation to the repeat type and motif, the type of DNA the microsatellite resided in, the length of the microsatellite, and the presence of imperfections in the microsatellite, only two significant correlations were found. (i) Imperfect repeats were less polymorphic among species than perfect repeats. (ii) The percentage of loci polymorphic among cultivars increased from 6% for the shortest loci (with eight or less repeat units) to 60% for the group with the longest repeats (12 repeat units or longer). Among the species, however, all length classes contained about 83% polymorphic loci. In general, 2–4 alleles were found for each locus among the samples of the test set. In a few cases, up to eight alleles were found. A combination of these microsatellite loci can therefore be useful in distinguishing cultivars of tomato, which are genetically very closely related to each other.

Construction and analysis of a microsatellite-based database of European wheat varieties

Abstract: A database of 502 recent European wheat varieties, mainly of winter type, was constructed using 19 wheat microsatellites and one secalin-specific marker. All datapoints were generated in at least two laboratories using different techniques for fragment analysis. An overall level of >99.5% accuracy was achieved. The 199 alleles detected allowed discrimination between all of the varieties except duplicates, and varieties derived from identical parents. Approximately 25% of the varieties showed some heterogeneities, with the highest level of heterogeneity in south-eastern European material. The highest genetic diversity and the highest number of rare alleles were found in varieties from southern Europe. The relative allele frequencies varied for most microsatellites in different geographical regions.

Construction and testing of a microsatellite database containing more than 500 tomato varieties

Abstract: The aim of this study was to evaluate the suitability of sequence tagged microsatellite site (STMS) markers for varietal identification and discrimination in tomato. For this purpose, a set of 20 STMS primer pairs was used to construct a database containing the molecular description of the most common varieties (>500) of tomato grown in Europe. The database was built and tested by a consortium of five European laboratories each using a different STMS detection system. In this way, it could be demonstrated that the STMS markers and database were suitable for use in network activities where a common database is being established on a continuing basis with data from different laboratories.

The use of semi-automated fluorescent microsatellite analysis for tomato cultivar identification

Abstract: The objectives of this study were to evaluate the usefulness of a fluorescent-analysis method for genotyping PCR-based tomato microsatellite markers (or STMSs) and to establish the value of these markers to generate unique DNA profiles of tomato cultivars The analyses were performed using forward primers labelled with a fluorochrom and using an ALF express DNA sequencer In general, analysis of the tomato STMSs revealed distinct allelic peaks PCR artefacts like stuttering and differential amplification were observed for several tomato STMS markers, but in most cases these artefacts did not seriously hamper allele designation Comparison of fluorescent and silver-stained allelic profiles revealed a similar distribution of alleles among the test cultivars Sixteen tomato cultivars were DNA-typed for 20 selected STMS markers using the fluorescent approach Length polymorphism among the PCR products was detected with 18 of these markers, yielding gene diversity values from 006 to 074 The number of alleles per microsatellite locus ranged from 2 to 8 As few as four STMSs were sufficient to differentiate between all 16 cultivars, indicating that these markers are especially suitable for a species like tomato which has low levels of variation as detected by other types of markers

A microsatellite map of wheat.

Abstract: Hexaploid bread wheat (Triticum aestivum L. em. Thell) is one of the world's most important crop plants and displays a very low level of intraspecific polymorphism. We report the development of highly polymorphic microsatellite markers using procedures optimized for the large wheat genome. The isolation of microsatellite-containing clones from hypomethylated regions of the wheat genome increased the proportion of useful markers almost twofold. The majority (80%) of primer sets developed are genome-specific and detect only a single locus in one of the three genomes of bread wheat (A, B, or D). Only 20% of the markers detect more than one locus. A total of 279 loci amplified by 230 primer sets were placed onto a genetic framework map composed of RFLPs previously mapped in the reference population of the International Triticeae Mapping Initiative (ITMI) Opata 85 x W7984. Sixty-five microsatellites were mapped at a LOD >2.5, and 214 microsatellites were assigned to the most likely intervals. Ninety-three loci were mapped to the A genome, 115 to the B genome, and 71 to the D genome. The markers are randomly distributed along the linkage map, with clustering in several centromeric regions.

How to track and assess genotyping errors in population genetics studies.

Abstract: Genotyping errors occur when the genotype determined after molecular analysis does not correspond to the real genotype of the individual under consideration. Virtually every genetic data set includes some erroneous genotypes, but genotyping errors remain a taboo subject in population genetics, even though they might greatly bias the final conclusions, especially for studies based on individual identification. Here, we consider four case studies representing a large variety of population genetics investigations differing in their sampling strategies (noninvasive or traditional), in the type of organism studied (plant or animal) and the molecular markers used [microsatellites or amplified fragment length polymorphisms (AFLPs)]. In these data sets, the estimated genotyping error rate ranges from 0.8% for microsatellite loci from bear tissues to 2.6% for AFLP loci from dwarf birch leaves. Main sources of errors were allelic dropouts for microsatellites and differences in peak intensities for AFLPs, but in both cases human factors were non-negligible error generators. Therefore, tracking genotyping errors and identifying their causes are necessary to clean up the data sets and validate the final results according to the precision required. In addition, we propose the outline of a protocol designed to limit and quantify genotyping errors at each step of the genotyping process. In particular, we recommend (i) several efficient precautions to prevent contaminations and technical artefacts; (ii) systematic use of blind samples and automation; (iii) experience and rigor for laboratory work and scoring; and (iv) systematic reporting of the error rate in population genetics studies.

Genotyping errors: causes, consequences and solutions.

Abstract: Although genotyping errors affect most data and can markedly influence the biological conclusions of a study, they are too often neglected. Errors have various causes, but their occurrence and effect can be limited by considering these causes in the production and analysis of the data. Procedures that have been developed for dealing with errors in linkage studies, forensic analyses and non-invasive genotyping should be applied more broadly to any genetic study. We propose a protocol for estimating error rates and recommend that these measures be systemically reported to attest the reliability of published genotyping studies.

AFLP genotyping and fingerprinting

Abstract: Amplified fragment length polymorphisms (AFLPs) are polymerase chain reaction (PCR)-based markers for the rapid screening of genetic diversity. AFLP methods rapidly generate hundreds of highly replicable markers from DNA of any organism; thus, they allow high-resolution genotyping of fingerprinting quality. The time and cost efficiency, replicability and resolution of AFLPs are superior or equal to those of other markers [allozymes, random amplified polymorphic DNA (RAPD), restriction fragment length polymorphism (RFLP), microsatellites], except that AFLP methods primarily generate dominant rather than co-dominant markers. Because of their high replicability and ease of use, AFLP markers have emerged as a major new type of genetic marker with broad application in systematics, pathotyping, population genetics, DNA fingerprinting and quantitative trait loci (QTL) mapping.

Association Mapping of Kernel Size and Milling Quality in Wheat (Triticum aestivum L.) Cultivars

Abstract: Association mapping is a method for detection of gene effects based on linkage disequilibrium (LD) that complements QTL analysis in the development of tools for molecular plant breeding. In this study, association mapping was performed on a selected sample of 95 cultivars of soft winter wheat. Population structure was estimated on the basis of 36 unlinked simple-sequence repeat (SSR) markers. The extent of LD was estimated on chromosomes 2D and part of 5A, relative to the LD observed among unlinked markers. Consistent LD on chromosome 2D was <1 cM, whereas in the centromeric region of 5A, LD extended for ∼5 cM. Association of 62 SSR loci on chromosomes 2D, 5A, and 5B with kernel morphology and milling quality was analyzed through a mixed-effects model, where subpopulation was considered as a random factor and the marker tested was considered as a fixed factor. Permutations were used to adjust the threshold of significance for multiple testing within chromosomes. In agreement with previous QTL analysis, significant markers for kernel size were detected on the three chromosomes tested, and alleles potentially useful for selection were identified. Our results demonstrated that association mapping could complement and enhance previous QTL information for marker-assisted selection.