Premise of the study: Targeted sequencing using next-generation sequencing (NGS) platforms offers... more 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.
Recent reviews are setting the stage for the use of next-generation sequencing technologies in ph... more Recent reviews are setting the stage for the use of next-generation sequencing technologies in phylogenetic applications. However, the processes for developing new markers for phylogenetic analyses remain difficult to navigate for many researchers in plant systematics. We review several experimental approaches and practical considerations for developing new phylogenetic markers with next-generation sequencing technologies. We also outline a flexible framework for data acquisition that is readily adaptable to the needs of individual researchers and carefully consider cost-related issues that may be of concern to many laboratories in evolutionary biology. The next-generation and targeted sequencing approaches presented here offer considerable savings of time and money over the traditional PCR and Sanger sequencing approaches currently used in plant systematic research, particularly in cases involving large numbers of taxa and phylogenetic markers. Even with a limited research budget, next-generation sequence data can accommodate exploration of biological questions in ways that were not previously possible.
Premise of the study: Targeted sequencing using next-generation sequencing (NGS) platforms offers... more 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.
Recent reviews are setting the stage for the use of next-generation sequencing technologies in ph... more Recent reviews are setting the stage for the use of next-generation sequencing technologies in phylogenetic applications. However, the processes for developing new markers for phylogenetic analyses remain difficult to navigate for many researchers in plant systematics. We review several experimental approaches and practical considerations for developing new phylogenetic markers with next-generation sequencing technologies. We also outline a flexible framework for data acquisition that is readily adaptable to the needs of individual researchers and carefully consider cost-related issues that may be of concern to many laboratories in evolutionary biology. The next-generation and targeted sequencing approaches presented here offer considerable savings of time and money over the traditional PCR and Sanger sequencing approaches currently used in plant systematic research, particularly in cases involving large numbers of taxa and phylogenetic markers. Even with a limited research budget, next-generation sequence data can accommodate exploration of biological questions in ways that were not previously possible.
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Papers by Nicolas Garcia
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.
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.