Journal
APPLICATIONS IN PLANT SCIENCES
Volume 3, Issue 4, Pages -Publisher
WILEY
DOI: 10.3732/apps.1400115
Keywords
data mining; introns; marker development; next-generation sequencing; phylogenetics; single-copy nuclear genes; transcriptomes
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Funding
- National Science Foundation (NSF) [IOS-0922742]
- NSF Doctoral Dissertation Improvement grant [DEB-1310839, DEB-1210671]
- David Burpee Endowment (Bucknell University)
- Division Of Environmental Biology
- Direct For Biological Sciences [1310839] Funding Source: National Science Foundation
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Premise of the study: Targeted sequencing using next-generation sequencing (NGS) platforms offers enormous potential for plant systematics by enabling economical acquisition of multilocus data sets that can resolve difficult phylogenetic problems. However, because discovery of single-copy nuclear (SCN) loci from NGS data requires both bioinformatics skills and access to high-performance computing resources, the application of NGS data has been limited. Methods and Results: We developed MarkerMiner 1.0, a fully automated, open-access bioinformatic workflow and application for discovery of SCN loci in angiosperms. Our new tool identified as many as 1993 SCN loci from transcriptomic data sampled as part of four independent test cases representing marker development projects at different phylogenetic scales. Conclusions: MarkerMiner is an easy-to-use and effective tool for discovery of putative SCN loci. It can be run locally or via the Web, and its tabular and alignment outputs facilitate efficient downstream assessments of phylogenetic utility, locus selection, intron-exon boundary prediction, and primer or probe development.
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