Molecular marker technologies are undergoing a transition from largely serial assays measuring DNA fragment sizes to hybridization-based technologies with high multiplexing levels. Diversity Arrays Technology (DArT) is a hybridization-based technology that is increasingly being adopted by barley researchers. There is a need to integrate the information generated by DArT with previous data produced with gel-based marker technologies.
Soil microbial communities are responsible for important physiological and metabolic processes. In the last decade soil microorganisms have been frequently analysed by cultivation-independent techniques because only a minority of the natural microbial communities are accessible by cultivation. Cultivation-independent community analyses have revolutionized our understanding of soil microbial diversity and population dynamics.
A genetic linkage mapping study was conducted in 93 doubled-haploid lines derived from a cross between Triticum aestivum L. em. Thell ‘Arina’ and a Norwegian spring wheat breeding line, NK93604, using diversity arrays technology (DArT), amplified fragment length polymorphism (AFLP), and simple sequence repeat (SSR) markers. The objective of this study was to understand the distribution, redundancy, and segregation distortion of DArT markers in comparison with AFLP and SSR markers. The map contains a total of 624 markers with 189DArTs, 165 AFLPs and 270 SSRs, and spans 2595.5 cM.
Diversity Arrays Technology (DArT) is a microarray-based DNA marker technique for genome-wide discovery and genotyping of genetic variation. DArT allows simultaneous scoring of hundreds of restriction site based polymorphisms between genotypes and does not require DNA sequence information or site-specific oligonucleotides. This paper demonstrates the potential of DArT for genetic mapping by validating the quality and molecular basis of the markers, using the model plant Arabidopsis thaliana.
Understanding the distribution of genetic diversity within and among individuals, populations, species and gene pools is crucial for the efficient management of germplasm collections. Molecular markers are playing an increasing role in germplasm characterization, yet their broad application is limited by the availability of markers, the costs and the low throughput of existing technologies.
Development of improved Eucalyptus genotypes involves the routine identification of breeding stock and superior clones. Currently, microsatellites and random amplified polymorphic DNA markers are the most widely used DNA-based techniques for fingerprinting of these trees. While these techniques have provided rapid and powerful fingerprinting assays, they are constrained by their reliance on gel or capillary electrophoresis, and therefore, relatively low throughput of fragment analysis.
Diversity Arrays Technology (DArT) can detect and type DNA variation at several hundred genomic loci in parallel without relying on sequence information. Here we show that it can be effectively applied to genetic mapping and diversity analyses of barley, a species with a 5,000-Mbp genome. We tested several complexity reduction methods and selected two that generated the most polymorphic genomic representations. Arrays containing individual fragments from these representations generated DArT fingerprints with a genotype call rate of 98.0% and a scoring reproducibility of at least 99.8%. The fingerprints grouped barley lines according to known genetic relationships. To validate the Mendelian behavior of DArT markers, we constructed a genetic map for a cross between cultivars Steptoe and Morex. Nearly all polymorphic array features could be incorporated into one of seven linkage groups (98.8%). The resulting map comprised ≈385 unique DArT markers and spanned 1,137 centimorgans. A comparison with the restriction fragment length polymorphism-based framework map indicated that the quality of the DArT map was equivalent, if not superior, to that of the framework map. These results highlight the potential of DArT as a generic technique for genome profiling in the context of molecular breeding and genomics.
Although 50 years have passed since the structure of DNA was deciphered (1), the study of DNA variation emerged as a field of scientific endeavor only in the last 25 years. Two groups of technologies were developing in parallel from the very beginning: DNA sequencing and molecular markers. DNA sequencing technology developed quickly from proof of concept (2, 3) to an automated process (4), enabling the field of genomics. Molecular marker technologies progressed rapidly as well. Based on the Southern blot technique (5), Botstein et al. (6) developed the restriction fragment length polymorphism (RFLP) technique as a method for creating genetic linkage maps.
Development of the PCR technique spawned two important molecular marker techniques: amplified fragment length polymorphism (AFLP) (7) and simple sequence repeats (8). Thousands of studies using molecular markers in plants, including hundreds in barley, have been published but are not referenced because of space limitations.
DNA sequencing and molecular marker technologies started to merge when the accumulated sequence data began to yield information on sequence variation among different accessions of the same species. It was soon noted that single-nucleotide polymorphism (SNP) is the most abundant marker type, promising nearly unlimited supply of markers (9). Many alternatives were developed for the SNP assay (primer extension, selective ligation) and the platform to type assays in high throughput (DNA chip, printed and self-assembling arrays, matrix-assisted laser desorption ionization/time-of-flight mass spectroscopy) (10–14).
For humans and a limited number of model organisms, the throughput of SNP assays has increased impressively, and assay costs have decreased correspondingly. Yet discovering sequence polymorphism in nonmodel species is difficult, which is particularly true for many crops with limited resources and often complex, polyploid genomes. We have developed Diversity Arrays Technology (DArT) to enable whole-genome profiling of such crops without the need of sequence information. DArT is based on microarray hybridizations that detect the presence versus absence of individual fragments in genomic representations as described by Jaccoud et al. (15).
For our initial proof-of-concept study, we selected a species with a simple genome (rice) and used AFLP-like complexity reduction methods to generate genomic representations (15). Here we apply a non-AFLP version of DArT to barley, a species with a complex genome nearly twice as large as the human genome and 13 times larger than that of rice (16). We show that DArT can be used to effectively create a medium-density genetic map, a result that points to its potential as a generic technique for high-throughput genome profiling of plants.
Population genomics has the potential to improve studies of evolutionary genetics, molecular ecology and conservation biology, by facilitating the identification of adaptive molecular variation and by improving the estimation of important parameters such as population size, migration rates and phylogenetic relationships. There has been much excitement in the recent literature about the identification of adaptive molecular variation using the population-genomic approach. However, the most useful contribution of the genomics model to population genetics will be improving inferences about population demography and evolutionary history.
In this paper we focus on two technologies that appear to be suited for whole-genome profiling: SNP and DArT. Sequencing accomplishments in several model species have shown that the value of sequencing is limited without comprehensive information about genome diversity.
Here we present the successful application of the microarray technology platform to the analysis of DNA polymorphisms. Using the rice genome as a model, we demonstrate the potential of a high-throughput genome analysis method called Diversity Arrays Technology, DArT. In the format presented here the technology is assaying for the presence (or amount) of specific DNA fragment in a representation derived from the total genomic DNA of an organism or a population of organisms.