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PMID: 20964836 Published · epublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

solQTL: a tool for QTL analysis, visualization and linking to genomes at SGN database.

BMC bioinformatics ·Vol. 11 ·2010-10-21 ·Pages 525

Tecle IY, Menda N, Buels RM, van der Knaap E, Mueller LA

Abstract

A common approach to understanding the genetic basis of complex traits is through identification of associated quantitative trait loci (QTL). Fine mapping QTLs requires several generations of backcrosses and analysis of large populations, which is time-consuming and costly effort. Furthermore, as entire genomes are being sequenced and an increasing amount of genetic and expression data are being generated, a challenge remains: linking phenotypic variation to the underlying genomic variation. To identify candidate genes and understand the molecular basis underlying the phenotypic variation of traits, bioinformatic approaches are needed to exploit information such as genetic map, expression and whole genome sequence data of organisms in biological databases. The Sol Genomics Network (SGN, http://solgenomics.net) is a primary repository for phenotypic, genetic, genomic, expression and metabolic data for the Solanaceae family and other related Asterids species and houses a variety of bioinformatics tools. SGN has implemented a new approach to QTL data organization, storage, analysis, and cross-links with other relevant data in internal and external databases. The new QTL module, solQTL, http://solgenomics.net/qtl/, employs a user-friendly web interface for uploading raw phenotype and genotype data to the database, R/QTL mapping software for on-the-fly QTL analysis and algorithms for online visualization and cross-referencing of QTLs to relevant datasets and tools such as the SGN Comparative Map Viewer and Genome Browser. Here, we describe the development of the solQTL module and demonstrate its application. solQTL allows Solanaceae researchers to upload raw genotype and phenotype data to SGN, perform QTL analysis and dynamically cross-link to relevant genetic, expression and genome annotations. Exploration and synthesis of the relevant data is expected to help facilitate identification of candidate genes underlying phenotypic variation and markers more closely linked to QTLs. solQTL is freely available on SGN and can be used in private or public mode.

MeSH Terms
Algorithms Databases, Factual Databases, Genetic Genome, Plant Genomics/methods Phenotype Quantitative Trait Loci/genetics Software Solanaceae/genetics
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Tecle Isaak Y
Boyce Thompson Institute for Plant Research, Tower Rd, Ithaca, NY 14853, USA.
Menda Naama
Buels Robert M
van der Knaap Esther
Mueller Lukas A
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2010-10-21
Epub
2010-00-21
Pages
525
Language
English
Region
England
NLM ID
100965194
PMCID
PMC2984588
Subset
IM
Analysis Services
Analysis Services

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