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Lautenschlager, Ulrich ; Scheunert, Agnes

LoCoLotive: In silico mining for low‐copy nuclear loci based on target capture probe sets and arbitrary reference genomes

Lautenschlager, Ulrich und Scheunert, Agnes (2023) LoCoLotive: In silico mining for low‐copy nuclear loci based on target capture probe sets and arbitrary reference genomes. Applications in Plant Sciences.

Veröffentlichungsdatum dieses Volltextes: 20 Nov 2023 12:58
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.55049


Zusammenfassung

PremiseUniversal target enrichment probe kits are used to circumvent the individual identification of loci suitable for phylogenetic studies in a given taxon. Under certain circumstances, however, target capture can be inefficient and costly, and lower numbers of marker loci may be sufficient. We therefore propose a computational pipeline that enables the easy identification of a subset of ...

PremiseUniversal target enrichment probe kits are used to circumvent the individual identification of loci suitable for phylogenetic studies in a given taxon. Under certain circumstances, however, target capture can be inefficient and costly, and lower numbers of marker loci may be sufficient. We therefore propose a computational pipeline that enables the easy identification of a subset of promising candidate loci for a taxon of interest. Methods and ResultsTarget sequences used for probe design are filtered based on an assembled reference genome, resulting in presumably intron-containing single-copy loci as present in the reference taxon. The applicability of the proposed approach is demonstrated based on two probe kits (universal and family-specific) in combination with several publicly available reference genomes. ConclusionsGuided by commercial probe kits, LoCoLotive enables fast and cost-efficient marker mining. Its accuracy mainly depends on the quality of the reference genome and its relatedness to the taxa under study.



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Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftApplications in Plant Sciences
Verlag:WILEY
Ort der Veröffentlichung:HOBOKEN
Datum28 Juli 2023
InstitutionenBiologie und Vorklinische Medizin > Institut für Pflanzenwissenschaften > Arbeitsgruppe Evolution und Systematik der Pflanzen (Prof. Dr. Christoph Oberprieler)
Identifikationsnummer
WertTyp
10.1002/aps3.11535DOI
Stichwörter / KeywordsSPECIES NETWORKS; PERFORMANCE; PROGRESS; MAFFT; low-copy loci; marker mining; nuclear marker; probe kit; single-copy loci; target capture; target enrichment
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-550497
Dokumenten-ID55049

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