2023
DOI: 10.1017/s1479262123000552
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Population genetic variation of microsatellite markers developed for Siberian fir (Abies sibirica Ledeb.) and European silver fir (Abies alba Mill.) using whole genome sequencing data

Natalia V. Oreshkova,
Eugenia I. Bondar,
Vadim V. Sharov
et al.

Abstract: The article presents the results of the search for microsatellite or simple sequence repeat (SSR) loci with tri-, tetra-, penta- and hexanucleotide tandem repeat motifs in the draft de novo assembly of the Siberian fir (Abies sibirica Ledeb.) genome and the development of convenient relatively highly and moderately polymorphic markers that can be easily genotyped even by simple gel electrophoresis. In total, 64 pairs of oligonucleotide polymerase chain reaction (PCR) primers for 32 detected microsatellite loci… Show more

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“…NGS techniques have simplified the identification and characterization of microsatellites, establishing them as valuable markers in ecology and evolution for non-model species [64,65]. NGS techniques enabled the reliable discovery of microsatellite markers, a usual method for the description of de novo microsatellites applied in recent studies [66][67][68][69][70]. In this study, we successfully characterized new loci and mitochondrial genomes while performing optimization and cross-species validation of multiplex assays in four species of supralittoral Ochthebius.…”
Section: Discussionmentioning
confidence: 99%
“…NGS techniques have simplified the identification and characterization of microsatellites, establishing them as valuable markers in ecology and evolution for non-model species [64,65]. NGS techniques enabled the reliable discovery of microsatellite markers, a usual method for the description of de novo microsatellites applied in recent studies [66][67][68][69][70]. In this study, we successfully characterized new loci and mitochondrial genomes while performing optimization and cross-species validation of multiplex assays in four species of supralittoral Ochthebius.…”
Section: Discussionmentioning
confidence: 99%