» Articles » PMID: 17033786

Diversity Arrays Technology (DArT) for High-throughput Profiling of the Hexaploid Wheat Genome

Overview
Publisher Springer
Specialty Genetics
Date 2006 Oct 13
PMID 17033786
Citations 203
Authors
Affiliations
Soon will be listed here.
Abstract

Despite a substantial investment in the development of panels of single nucleotide polymorphism (SNP) markers, the simple sequence repeat (SSR) technology with a limited multiplexing capability remains a standard, even for applications requiring whole-genome information. Diversity arrays technology (DArT) types hundreds to thousands of genomic loci in parallel, as previously demonstrated in a number diploid plant species. Here we show that DArT performs similarly well for the hexaploid genome of bread wheat (Triticum aestivum L.). The methodology previously used to generate DArT fingerprints of barley also generated a large number of high-quality markers in wheat (99.8% allele-calling concordance and approximately 95% call rate). The genetic relationships among bread wheat cultivars revealed by DArT coincided with knowledge generated with other methods, and even closely related cultivars could be distinguished. To verify the Mendelian behaviour of DArT markers, we typed a set of 90 Cranbrook x Halberd doubled haploid lines for which a framework (FW) map comprising a total of 339 SSR, restriction fragment length polymorphism (RFLP) and amplified fragment length polymorphism (AFLP) markers was available. We added an equal number of DArT markers to this data set and also incorporated 71 sequence tagged microsatellite (STM) markers. A comparison of logarithm of the odds (LOD) scores, call rates and the degree of genome coverage indicated that the quality and information content of the DArT data set was comparable to that of the combined SSR/RFLP/AFLP data set of the FW map.

Citing Articles

Identification of SNP and SilicoDArT Markers and Characterization of Their Linked Candidate Genes Associated with Maize Smut Resistance.

Tomkowiak A Int J Mol Sci. 2024; 25(21).

PMID: 39518909 PMC: 11547173. DOI: 10.3390/ijms252111358.


Genomic prediction for rust resistance in pea.

Osuna-Caballero S, Rubiales D, Annicchiarico P, Nazzicari N, Rispail N Front Plant Sci. 2024; 15:1429802.

PMID: 39109067 PMC: 11300365. DOI: 10.3389/fpls.2024.1429802.


Genome-Wide Association Study of Preharvest Sprouting in Wheat.

Yang J, Wang J Methods Mol Biol. 2024; 2830:121-129.

PMID: 38977573 DOI: 10.1007/978-1-0716-3965-8_11.


Novel SNP markers for flowering and seed quality traits in faba bean ( L.): characterization and GWAS of a diversity panel.

Ohm H, Astrand J, Ceplitis A, Bengtsson D, Hammenhag C, Chawade A Front Plant Sci. 2024; 15:1348014.

PMID: 38510437 PMC: 10950902. DOI: 10.3389/fpls.2024.1348014.


Genetic architecture of adult-plant resistance to stripe rust in bread wheat ( L.) association panel.

Atsbeha G, Mekonnen T, Kebede M, Haileselassie T, Goodwin S, Tesfaye K Front Plant Sci. 2023; 14:1256770.

PMID: 38130484 PMC: 10733515. DOI: 10.3389/fpls.2023.1256770.


References
1.
Botstein D, White R, Skolnick M, Davis R . Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet. 1980; 32(3):314-31. PMC: 1686077. View

2.
Bonin A, Bellemain E, Bronken Eidesen P, Pompanon F, Brochmann C, Taberlet P . How to track and assess genotyping errors in population genetics studies. Mol Ecol. 2004; 13(11):3261-73. DOI: 10.1111/j.1365-294X.2004.02346.x. View

3.
van Os H, Stam P, Visser R, van Eck H . RECORD: a novel method for ordering loci on a genetic linkage map. Theor Appl Genet. 2005; 112(1):30-40. DOI: 10.1007/s00122-005-0097-x. View

4.
Pestsova E, Ganal M, Roder M . Isolation and mapping of microsatellite markers specific for the D genome of bread wheat. Genome. 2000; 43(4):689-97. View

5.
Mochida K, Yamazaki Y, Ogihara Y . Discrimination of homoeologous gene expression in hexaploid wheat by SNP analysis of contigs grouped from a large number of expressed sequence tags. Mol Genet Genomics. 2003; 270(5):371-7. DOI: 10.1007/s00438-003-0939-7. View