Published February 2, 2009 | Version v1
Journal article Open

QTL Mapping in New Arabidopsis thaliana Advanced Intercross-Recombinant Inbred Lines

Description

Even when phenotypic differences are large between natural or domesticated strains, the underlying genetic basis is often complex, and causal genomic regions need to be identified by quantitative trait locus (QTL) mapping. Unfortunately, QTL positions typically have large confidence intervals, which can, for example, lead to one QTL being masked by another, when two closely linked loci are detected as a single QTL. One strategy to increase the power of precisely localizing small effect QTL, is the use of an intercross approach before inbreeding to produce Advanced Intercross RILs (AI-RILs).

We present two new AI-RIL populations of Arabidopsis thaliana genotyped with an average intermarker distance of 600 kb. The advanced intercrossing design led to expansion of the genetic map in the two populations, which contain recombination events corresponding to 50 kb/cM in an F2 population. We used the AI-RILs to map QTL for light response and flowering time, and to identify segregation distortion in one of the AI-RIL populations due to a negative epistatic interaction between two genomic regions.

The two new AI-RIL populations, EstC and KendC, derived from crosses of Columbia (Col) to Estland (Est-1) and Kendallville (Kend-L) provide an excellent resource for high precision QTL mapping. Moreover, because they have been genotyped with over 100 common markers, they are also excellent material for comparative QTL mapping.

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Additional details

Identifiers

DOI
10.1371/journal.pone.0004318
Other
oai:uchicago.tind.io:7985

Funding

National Institutes of Health
F23-GM65032-1
European Molecular Biology Organization
Long-Term Fellowship
National Institutes of Health
GM62932
ERA-NET Plant Genomics
ARABRAS
Deutsche Forschungsgemeinschaft
Gottfried Wilhelm Leibniz Award
Howard Hughes Medical Institute
Gottfried Wilhelm Leibniz Award
Max Planck Society
Gottfried Wilhelm Leibniz Award

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Ecology and Evolution