Literature DB >> 22312117

Targeted enrichment strategies for next-generation plant biology.

Richard Cronn1, Brian J Knaus, Aaron Liston, Peter J Maughan, Matthew Parks, John V Syring, Joshua Udall.   

Abstract

PREMISE OF THE STUDY: The dramatic advances offered by modern DNA sequencers continue to redefine the limits of what can be accomplished in comparative plant biology. Even with recent achievements, however, plant genomes present obstacles that can make it difficult to execute large-scale population and phylogenetic studies on next-generation sequencing platforms. Factors like large genome size, extensive variation in the proportion of organellar DNA in total DNA, polyploidy, and gene number/redundancy contribute to these challenges, and they demand flexible targeted enrichment strategies to achieve the desired goals.
METHODS: In this article, we summarize the many available targeted enrichment strategies that can be used to target partial-to-complete organellar genomes, as well as known and anonymous nuclear targets. These methods fall under four categories: PCR-based enrichment, hybridization-based enrichment, restriction enzyme-based enrichment, and enrichment of expressed gene sequences. KEY
RESULTS: Examples of plant-specific applications exist for nearly all methods described. While some methods are well established (e.g., transcriptome sequencing), other promising methods are in their infancy (hybridization enrichment). A direct comparison of methods shows that PCR-based enrichment may be a reasonable strategy for accessing small genomic targets (e.g., ≤50 kbp), but that hybridization and transcriptome sequencing scale more efficiently if larger targets are desired.
CONCLUSIONS: While the benefits of targeted sequencing are greatest in plants with large genomes, nearly all comparative projects can benefit from the improved throughput offered by targeted multiplex DNA sequencing, particularly as the amount of data produced from a single instrument approaches a trillion bases per run.

Mesh:

Substances:

Year:  2012        PMID: 22312117     DOI: 10.3732/ajb.1100356

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


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