Developing market class specific InDel markers from next generation sequence data in Phaseolus vulgaris L.
Open Access
- 13 May 2014
- journal article
- research article
- Published by Frontiers Media SA in Frontiers in Plant Science
- Vol. 5, 185
Abstract
Next generation sequence data provides valuable information and tools for genetic and genomic research and offers new insights useful for marker development. This data is useful for the design of accurate and user-friendly molecular tools. Common bean (Phaseolus vulgaris L.) is a diverse crop in which separate domestication events happened in each gene pool followed by race and market class diversification that has resulted in different morphological characteristics in each commercial market class. This has led to essentially independent breeding programs within each market class which in turn has resulted in limited within market class sequence variation. Sequence data from selected genotypes of five bean market classes (pinto, black, navy, and light and dark red kidney) were used to develop InDel-based markers specific to each market class. Design of the InDel markers was conducted through a combination of assembly, alignment and primer design software using 1.6x to 5.1x coverage of Illumina GAII sequence data for each of the selected genotypes. The procedure we developed for primer design is fast, accurate, less error prone, and higher throughput than when they are designed manually. All InDel markers are easy to run and score with no need for PCR optimization. A total of 2,687 InDel markers distributed across the genome were developed. To highlight their usefulness, they were employed to construct a phylogenetic tree and a genetic map, showing that InDel markers are reliable, simple, and accurate.Keywords
This publication has 73 references indexed in Scilit:
- A collection of INDEL markers for map-based cloning in seven Arabidopsis accessionsJournal of Experimental Botany, 2012
- BLAST+: architecture and applicationsBMC Bioinformatics, 2009
- VarScan: variant detection in massively parallel sequencing of individual and pooled samplesBioinformatics, 2009
- The Sequence Alignment/Map format and SAMtoolsBioinformatics, 2009
- Fast and accurate short read alignment with Burrows–Wheeler transformBioinformatics, 2009
- BatchPrimer3: A high throughput web application for PCR and sequencing primer designBMC Bioinformatics, 2008
- Rapid transcriptome characterization for a nonmodel organism using 454 pyrosequencingMolecular Ecology, 2008
- Velvet: Algorithms for de novo short read assembly using de Bruijn graphsGenome Research, 2008
- Clustal W and Clustal X version 2.0Bioinformatics, 2007
- An Integrated High-density Linkage Map of Soybean with RFLP, SSR, STS, and AFLP Markers Using A Single F2 PopulationDNA Research, 2007