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Dorfner, Marco ; Ott, Tankred ; Ott, Philipp ; Oberprieler, Christoph

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

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftApplications in Plant Sciences
Verlag:Wiley
Ort der Veröffentlichung:HOBOKEN
Band:10
Nummer des Zeitschriftenheftes oder des Kapitels:3
Seitenbereich:e11484
Datum14 Juni 2022
InstitutionenBiologie und Vorklinische Medizin > Institut für Pflanzenwissenschaften > Arbeitsgruppe Evolution und Systematik der Pflanzen (Prof. Dr. Christoph Oberprieler)
Identifikationsnummer
WertTyp
10.1002/aps3.11484DOI
Stichwörter / KeywordsAFLP; genotyping; Leucanthemum; Nanopore; Senecio
Dewey-Dezimal-Klassifikation500 Naturwissenschaften und Mathematik > 580 Pflanzen (Botanik)
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-531781
Dokumenten-ID53178

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