Dataset Information

Low-copy nuclear markers in Isoetes (Isoetaceae) identified with transcriptomes.

ABSTRACT: Premise of the Study:Few genetic markers provide phylogenetic information in closely related species of Isoëtes (Isoëtaceae). We describe the development of primers for several putative low-copy nuclear markers to resolve the phylogeny of Isoëtes, particularly in the southeastern United States. Methods and Results:We identified regions of interest in Isoëtes transcriptomes based on low-copy genes in other plants. Primers were designed for these regions and tested with 16 taxa of Isoëtes and one species of Lycopodium. Parts of the pgiC, gapC, and IBR3 gene regions show phylogenetic signal within the North American and Mediterranean clades of Isoëtes. Conclusions:Transcriptome data prove useful for identification and primer design of low-copy genes. Three new markers show potential for inferring phylogenies in regional clades of Isoëtes, and possibly across the entire genus.

SUBMITTER: Schafran PW

PROVIDER: S-EPMC5947607 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Low-copy nuclear markers in <i>Isoëtes</i> (Isoëtaceae) identified with transcriptomes.

Schafran Peter W PW Johnson Gabriel G Taylor W Carl WC Zimmer Elizabeth A EA Musselman Lytton J LJ

Applications in plant sciences 20180401 4

<h4>Premise of the study</h4>Few genetic markers provide phylogenetic information in closely related species of <i>Isoëtes</i> (Isoëtaceae). We describe the development of primers for several putative low-copy nuclear markers to resolve the phylogeny of <i>Isoëtes</i>, particularly in the southeastern United States.<h4>Methods and results</h4>We identified regions of interest in <i>Isoëtes</i> transcriptomes based on low-copy genes in other plants. Primers were designed for these regions and tes ...[more]

PMID: 30131884

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Project description:BackgroundMolecular phylogenetic investigations have revolutionized our understanding of the evolutionary history of ferns-the second-most species-rich major group of vascular plants, and the sister clade to seed plants. The general absence of genomic resources available for this important group of plants, however, has resulted in the strong dependence of these studies on plastid data; nuclear or mitochondrial data have been rarely used. In this study, we utilize transcriptome data to design primers for nuclear markers for use in studies of fern evolutionary biology, and demonstrate the utility of these markers across the largest order of ferns, the Polypodiales.Principal findingsWe present 20 novel single-copy nuclear regions, across 10 distinct protein-coding genes: ApPEFP_C, cryptochrome 2, cryptochrome 4, DET1, gapCpSh, IBR3, pgiC, SQD1, TPLATE, and transducin. These loci, individually and in combination, show strong resolving power across the Polypodiales phylogeny, and are readily amplified and sequenced from our genomic DNA test set (from 15 diploid Polypodiales species). For each region, we also present transcriptome alignments of the focal locus and related paralogs-curated broadly across ferns-that will allow researchers to develop their own primer sets for fern taxa outside of the Polypodiales. Analyses of sequence data generated from our genomic DNA test set reveal strong effects of partitioning schemes on support levels and, to a much lesser extent, on topology. A model partitioned by codon position is strongly favored, and analyses of the combined data yield a Polypodiales phylogeny that is well-supported and consistent with earlier studies of this group.ConclusionsThe 20 single-copy regions presented here more than triple the single-copy nuclear regions available for use in ferns. They provide a much-needed opportunity to assess plastid-derived hypotheses of relationships within the ferns, and increase our capacity to explore aspects of fern evolution previously unavailable to scientific investigation.

Dataset Information

Low-copy nuclear markers in Isoetes (Isoetaceae) identified with transcriptomes.

Publications

Low-copy nuclear markers in <i>Isoëtes</i> (Isoëtaceae) identified with transcriptomes.

Similar Datasets

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