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Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms
Author(s) -
John Bowers,
Savithri U. Nambeesan,
Jonathan Corbi,
Michael S. Barker,
Loren H. Rieseberg,
Steven J. Knapp,
John M. Burke
Publication year - 2012
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0051360
Subject(s) - biology , genetics , sunflower , genome , population , helianthus annuus , quantitative trait locus , gene mapping , candidate gene , computational biology , gene , chromosome , agronomy , demography , sociology
The development of ultra-dense genetic maps has the potential to facilitate detailed comparative genomic analyses and whole genome sequence assemblies. Here we describe the use of a custom Affymetrix GeneChip containing nearly 2.4 million features (25 bp sequences) targeting 86,023 unigenes from sunflower ( Helianthus annuus L.) and related species to test for single-feature polymorphisms (SFPs) in a recombinant inbred line (RIL) mapping population derived from a cross between confectionery and oilseed sunflower lines (RHA280×RHA801). We then employed an existing genetic map derived from this same population to rigorously filter out low quality data and place 67,486 features corresponding to 22,481 unigenes on the sunflower genetic map. The resulting map contains a substantial fraction of all sunflower genes and will thus facilitate a number of downstream applications, including genome assembly and the identification of candidate genes underlying QTL or traits of interest.

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