Enrichment of genomic DNA for polymorphism detection in a non-model highly polyploid crop plant

Bundock, Peter C., Casu, Rosanne E. and Henry, Robert J. (2012) Enrichment of genomic DNA for polymorphism detection in a non-model highly polyploid crop plant. Plant Biotechnology Journal, 10 6: 657-667. doi:10.1111/j.1467-7652.2012.00707.x

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Author Bundock, Peter C.
Casu, Rosanne E.
Henry, Robert J.
Title Enrichment of genomic DNA for polymorphism detection in a non-model highly polyploid crop plant
Journal name Plant Biotechnology Journal   Check publisher's open access policy
ISSN 1467-7644
Publication date 2012-08
Sub-type Article (original research)
DOI 10.1111/j.1467-7652.2012.00707.x
Open Access Status
Volume 10
Issue 6
Start page 657
End page 667
Total pages 11
Place of publication Oxford, United Kingdom
Publisher Wiley-Blackwell Publishing
Collection year 2013
Language eng
Formatted abstract
Large polyploid genomes of non-model species remain challenging targets for DNA polymorphism discovery despite the increasing throughput and continued reductions in cost of sequencing with new technologies. For these species especially, there remains a requirement to enrich genomic DNA to discover polymorphisms in regions of interest because of large genome size and to provide the sequence depth to enable estimation of copy number. Various methods of enriching DNA have been utilised, but some recent methods enable the efficient sampling of large regions (e.g. the exome). We have utilised one of these methods, solution-based hybridization (Agilent SureSelect), to capture regions of the genome of two sugarcane genotypes (one Saccharum officinarum and one Saccharum hybrid) based mainly on gene sequences from the close relative Sorghum bicolor. The capture probes span approximately 5.8 megabases (Mb). The enrichment over whole-genome shotgun sequencing was 10–11-fold for the two genotypes tested. This level of enrichment has important consequences for detecting single nucleotide polymorphisms (SNPs) from a single lane of Illumina (Genome Analyzer) sequence reads. The detection of polymorphisms was enabled by the depth of sequence at or near probe sites and enabled the detection of 270 000–280 000 SNPs within each genotype from a single lane of sequence using stringent detection parameters. The SNPs were present in 13 000–16 000 targeted genes, which would enable mapping of a large number of these chosen genes. SNP validation from 454 sequencing and between genotype confirmations gave an 87%–91% validation rate.
Keyword Sugarcane
Next-generation sequencing
Single nucleotide polymorphisms
Second-generation sequencing
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2013 Collection
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Citation counts: TR Web of Science Citation Count  Cited 25 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 28 times in Scopus Article | Citations
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Created: Sat, 01 Sep 2012, 07:42:17 EST by System User on behalf of Qld Alliance for Agriculture and Food Innovation