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Using next‐generation sequencing approaches to isolate simple sequence repeat (SSR) loci in the plant sciences
Author(s) -
Zalapa Juan E.,
Cuevas Hugo,
Zhu Huayu,
Steffan Shawn,
Senalik Douglas,
Zeldin Eric,
McCown Brent,
Harbut Rebecca,
Simon Philipp
Publication year - 2012
Publication title -
american journal of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.218
H-Index - 151
eISSN - 1537-2197
pISSN - 0002-9122
DOI - 10.3732/ajb.1100394
Subject(s) - microsatellite , biology , dna sequencing , genotyping , massive parallel sequencing , computational biology , genome , genetics , identification (biology) , genotype , gene , allele , botany
The application of next‐generation sequencing (NGS) technologies for the development of simple sequence repeat (SSR) or microsatellite loci for genetic research in the botanical sciences is described. Microsatellite markers are one of the most informative and versatile DNA‐based markers used in plant genetic research, but their development has traditionally been a difficult and costly process. NGS technologies allow the efficient identification of large numbers of microsatellites at a fraction of the cost and effort of traditional approaches. The major advantage of NGS methods is their ability to produce large amounts of sequence data from which to isolate and develop numerous genome‐wide and gene‐based microsatellite loci. The two major NGS technologies with emergent application in SSR isolation are 454 and Illumina. A review is provided of several recent studies demonstrating the efficient use of 454 and Illumina technologies for the discovery of microsatellites in plants. Additionally, important aspects during NGS isolation and development of microsatellites are discussed, including the use of computational tools and high‐throughput genotyping methods. A data set of microsatellite loci in the plastome and mitochondriome of cranberry ( Vaccinium macrocarpon Ait.) is provided to illustrate a successful application of 454 sequencing for SSR discovery. In the future, NGS technologies will massively increase the number of SSRs and other genetic markers available to conduct genetic research in understudied but economically important crops such as cranberry.