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Long‐read genotyping with SLANG (Simple Long‐read loci Assembly of Nanopore data for Genotyping)
Dorfner, Marco
, Ott, Tankred, Ott, Philipp und Oberprieler, Christoph
(2022)
Long‐read genotyping with SLANG (Simple Long‐read loci Assembly of Nanopore data for Genotyping).
Applications in Plant Sciences 10 (3), e11484.
Veröffentlichungsdatum dieses Volltextes: 09 Nov 2022 11:37
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.53178
Zusammenfassung
Premise Most phylogenomic library preparation methods and bioinformatic analysis tools in restriction site-associated DNA sequencing (RADseq)/genotyping-by-sequencing (GBS) studies are designed for use with Illumina data. The lack of alternative bioinformatic pipelines hinders the exploration of long-read multi-locus data from other sequencing platforms. The Simple Long-read loci Assembly of ...
Premise Most phylogenomic library preparation methods and bioinformatic analysis tools in restriction site-associated DNA sequencing (RADseq)/genotyping-by-sequencing (GBS) studies are designed for use with Illumina data. The lack of alternative bioinformatic pipelines hinders the exploration of long-read multi-locus data from other sequencing platforms. The Simple Long-read loci Assembly of Nanopore data for Genotyping (SLANG) pipeline enables locus assembly, orthology estimation, and single-nucleotide polymorphism (SNP) calling using Nanopore-sequenced multi-locus data. Methods and Results Two test libraries (Leucanthemum spp., Senecio spp.; Compositae) were prepared using an amplified fragment length polymorphism (AFLP)-based method to reduce genome complexity, then Nanopore-sequenced, and analyzed with SLANG. We identified 704 and 448 orthologous loci with 12,368 and 10,048 SNPs, respectively. The constructed phylogenetic networks were identical to a GBS network produced using Leucanthemum Illumina data and were consistent with Senecio species circumscriptions based on morphology. Conclusions SLANG identifies orthologous loci and extracts SNPs from long-read multi-locus Nanopore data for phylogenetic inference, population genetics, or phylogeographical studies. Combined with an AFLP-based library preparation, SLANG provides an easily scalable, cost-effective, and affordable alternative to Illumina-based RADseq/GBS procedures.
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Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Applications in Plant Sciences | ||||
| Verlag: | Wiley | ||||
|---|---|---|---|---|---|
| Ort der Veröffentlichung: | HOBOKEN | ||||
| Band: | 10 | ||||
| Nummer des Zeitschriftenheftes oder des Kapitels: | 3 | ||||
| Seitenbereich: | e11484 | ||||
| Datum | 14 Juni 2022 | ||||
| Institutionen | Biologie und Vorklinische Medizin > Institut für Pflanzenwissenschaften > Arbeitsgruppe Evolution und Systematik der Pflanzen (Prof. Dr. Christoph Oberprieler) | ||||
| Identifikationsnummer |
| ||||
| Stichwörter / Keywords | AFLP; genotyping; Leucanthemum; Nanopore; Senecio | ||||
| Dewey-Dezimal-Klassifikation | 500 Naturwissenschaften und Mathematik > 580 Pflanzen (Botanik) | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-531781 | ||||
| Dokumenten-ID | 53178 |
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