2015
DOI: 10.3390/ijms160716669
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Structural Variation (SV) Markers in the Basidiomycete Volvariella volvacea and Their Application in the Construction of a Genetic Map

Abstract: Molecular markers and genetic maps are useful tools in genetic studies. Novel molecular markers and their applications have been developed in recent years. With the recent advancements in sequencing technology, the genomic sequences of an increasingly great number of fungi have become available. A novel type of molecular marker was developed to construct the first reported linkage map of the edible and economically important basidiomycete Volvariella volvacea by using 104 structural variation (SV) markers that… Show more

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Cited by 4 publications
(6 citation statements)
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“…Recent identification of SV markers for PYd15 and PYd21 ( Wang et al 2015 ) enabled analysis of homo- and heterokaryosity with a higher resolution. Twenty-four different SV markers of 10 independent linkage groups were selected to analyze 105 SSIs of heterokaryon H1521, together with MAT-A loci specific primers for A1 and A2 mating types ( Table S4 ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Recent identification of SV markers for PYd15 and PYd21 ( Wang et al 2015 ) enabled analysis of homo- and heterokaryosity with a higher resolution. Twenty-four different SV markers of 10 independent linkage groups were selected to analyze 105 SSIs of heterokaryon H1521, together with MAT-A loci specific primers for A1 and A2 mating types ( Table S4 ).…”
Section: Resultsmentioning
confidence: 99%
“…Mating of homokaryons was confirmed by PCR on genomic DNA of crossed strains (see above) using MAT-A -specific markers ( Table S1B ). Sequence-characterized amplified regions (SCAR) and structural variation (SV) markers for analysis of single spore isolates were described by Wang et al (2015) .…”
Section: Methodsmentioning
confidence: 99%
“…Wang et al . (2015) developed 104 SV markers and constructed a linkage map for the basidiomycete Volvariella volvacea . In this study, we developed 195 SV markers for DXWR.…”
Section: Discussionmentioning
confidence: 99%
“…If the direction or distance is abnormal, then the region might has SVs. Abnormal pair-end alignments were further analysed by clustering and compared with previously defined SVs (Wang et al, 2015). The SVs were detected using the SOAPsv program as described by Li et al (2011), with support from at least three abnormal paired-end reads.…”
Section: Methodsmentioning
confidence: 99%
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