Targeted comparative genome analysis and qualitative mapping of a major partial-resistance gene to the soybean cyst nematode View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1996-07

AUTHORS

V. C. Concibido, N. D. Young, D. A. Lange, R. L. Denny, D. Danesh, J. H. Orf

ABSTRACT

A major partial-resistance locus to the soybean cyst nematode (Heterodera glycines Ichinohe; SCN) was identified on linkage group 'G' of soybean [Glycine max (L.) Merr.] using restriction fragment length polymorphisms (RFLPs). This locus explained 51.4% (LOD=10.35) of the total phenotypic variation in disease response in soybean Plant Introduction (PI) 209332, 52.7% (LOD=15.58) in PI 90763, 40.0% (LOD=10.50) in PI 88788, and 28.1% (LOD=6.94) in 'Peking'. Initially, the region around this major resistance locus was poorly populated with DNA markers. To increase marker density in this genomic region, first random, and later targeted, comparative mapping with RFLPs from mungbean [Vigna radiata (L.) R. Wilcz.] and common bean (Phaseolus vulgaris L.) was performed, eventually leading to one RFLP marker every 2.6 centimorgans (cM). Even with this marker density, the inability to resolve SCN disease response into discrete Mendelian categories posed a major limitation to mapping. Thus, qualitative scoring of SCN disease response was carried out in an F5∶6 recombinant inbred population derived from 'Evans'xPI 209332 using a 30% disease index cut-off for resistance. Using the computer program JoinMap, an integrated map of the region of interest was created, placing the SCN resistance locus 4.6 cM from RFLP marker B53 and 2.8 cM from Bng30. This study demonstrates how a combination of molecularmapping strategies, including comparative genome analysis, join mapping, and qualitative scoring of a quantitative trait, potentially provide the necessary tools for high-resolution mapping around a quantitative-trait locus. More... »

PAGES

234-241

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00225751

DOI

http://dx.doi.org/10.1007/bf00225751

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000659679

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24162223


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