Application of large-scale sequencing to marker discovery in plants

Henry, Robert J., Edwards, Mark, Waters, Daniel L. E., Krishnan, S. Gopala, Bundock, Peter, Sexton, Timothy R., Masouleh, Ardashir K., Nock, Catherine J. and Pattemore, Julie (2012) Application of large-scale sequencing to marker discovery in plants. Journal of Biosciences, 37 5: 829-841. doi:10.1007/s12038-012-9253-z

Author Henry, Robert J.
Edwards, Mark
Waters, Daniel L. E.
Krishnan, S. Gopala
Bundock, Peter
Sexton, Timothy R.
Masouleh, Ardashir K.
Nock, Catherine J.
Pattemore, Julie
Title Application of large-scale sequencing to marker discovery in plants
Journal name Journal of Biosciences   Check publisher's open access policy
ISSN 0250-5991
Publication date 2012
Sub-type Article (original research)
DOI 10.1007/s12038-012-9253-z
Open Access Status DOI
Volume 37
Issue 5
Start page 829
End page 841
Total pages 13
Place of publication Bangalore, Karnataka India
Publisher Indian Academy of Sciences
Collection year 2013
Language eng
Formatted abstract
Advances in DNA sequencing provide tools for efficient large-scale discovery of markers for use in plants. Discovery options include large-scale amplicon sequencing, transcriptome sequencing, gene-enriched genome sequencing and
whole genome sequencing. Examples of each of these approaches and their potential to generate molecular markers for specific applications have been described. Sequencing the whole genome of parents identifies all the polymorphisms
available for analysis in their progeny. Sequencing PCR amplicons of sets of candidate genes from DNA bulks can be used to define the available variation in these genes that might be exploited in a population or germplasm collection. Sequencing of the transcriptomes of genotypes varying for the trait of interest may identify genes with patterns of expression that could explain the phenotypic variation. Sequencing genomic DNA enriched for genes by hybridization with probes for all or some of the known genes simplifies sequencing and analysis of differences in gene sequences between large numbers of genotypes and genes especially when working with complex genomes. Examples of application of the above-mentioned techniques have been described.
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 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 16 times in Scopus Article | Citations
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Created: Fri, 28 Sep 2012, 13:33:27 EST by Annie Morley on behalf of Qld Alliance for Agriculture and Food Innovation