Evidence map›Paper›PMID 21205322›Full record

ArticleBMC genomics2011

Construction and application for QTL analysis of a Restriction Site Associated DNA (RAD) linkage map in barley.

Yada Chutimanitsakun, Rick W Nipper, Alfonso Cuesta-Marcos, Luis Cistué, Ann Corey, Tanya Filichkina, Eric A Johnson, Patrick M Hayes

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Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers.

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145citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

145 citing papers in PubMed.

  1. Article
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  4. Genome-Wide Association Study of Preharvest Sprouting in Wheat.Methods in molecular biology (Clifton, N.J.) · 2024
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  9. An FPlants (Basel, Switzerland) · 2021
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85 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yada ChutimanitsakunCrop and Soil Science Department, Oregon State University, Corvallis, Oregon, USA.
Rick W Nipper
Alfonso Cuesta-Marcos
Luis Cistué
Ann Corey
Tanya Filichkina
Eric A Johnson
Patrick M Hayes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLinkage maps are an integral resource for dissection of complex genetic traits in plant and animal species. Canonical map construction follows a well-established workflow: an initial discovery phase where genetic markers are mined from a small pool of individuals, followed by genotyping of selected mapping populations using sets of marker panels. A newly developed sequence-based marker technology, Restriction site Associated DNA (RAD), enables synchronous single nucleotide polymorphism (SNP) marker discovery and genotyping using massively parallel sequencing. The objective of this research was to assess the utility of RAD markers for linkage map construction, employing barley as a model system. Using the published high density EST-based SNP map in the Oregon Wolfe Barley (OWB) mapping population as a reference, we created a RAD map using a limited set of prior markers to establish linakge group identity, integrated the RAD and prior data, and used both maps for detection of quantitative trait loci (QTL).

resultsUsing the RAD protocol in tandem with the Illumina sequence by synthesis platform, a total of 530 SNP markers were identified from initial scans of the OWB parental inbred lines--the "dominant" and "recessive" marker stocks--and scored in a 93 member doubled haploid (DH) mapping population. RAD sequence data from the structured population was converted into allele genotypes from which a genetic map was constructed. The assembled RAD-only map consists of 445 markers with an average interval length of 5 cM, while an integrated map includes 463 RAD loci and 2383 prior markers. Sequenced RAD markers are distributed across all seven chromosomes, with polymorphic loci emanating from both coding and noncoding regions in the Hordeum genome. Total map lengths are comparable and the order of common markers is identical in both maps. The same large-effect QTL for reproductive fitness traits were detected with both maps and the majority of these QTL were coincident with a dwarfing gene (ZEO) and the VRS1 gene, which determines the two-row and six-row germplasm groups of barley.

conclusionsWe demonstrate how sequenced RAD markers can be leveraged to produce high quality linkage maps for detection of single gene loci and QTLs. By combining SNP discovery and genotyping into parallel sequencing events, RAD markers should be a useful molecular breeding tool for a range of crop species. Expected improvements in cost and throughput of second and third-generation sequencing technologies will enable more powerful applications of the sequenced RAD marker system, including improvements in de novo genome assembly, development of ultra-high density genetic maps and association mapping.

Indexed as

Quantitative Trait LociChromosome MappingExpressed Sequence TagsGenome, PlantHordeumPolymorphism, Single Nucleotide

Identifiers

PMID21205322
PMCPMC3023751

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.