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Identification of candidate genes at the Dp-fl locus conferring resistance against the rosy apple aphid Dysaphis plantaginea
The cultivated apple is susceptible to several pests including the rosy apple aphid (RAA; Dysaphis plantaginea Passerini), control of which is mainly based on chemical treatments. A few cases of resistance to aphids have been described in apple germplasm resources, laying the basis for the developme...
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Published in: | Tree genetics & genomes 2018-02, Vol.14 (1), p.1-11, Article 12 |
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Main Authors: | , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The cultivated apple is susceptible to several pests including the rosy apple aphid (RAA;
Dysaphis plantaginea
Passerini), control of which is mainly based on chemical treatments. A few cases of resistance to aphids have been described in apple germplasm resources, laying the basis for the development of new resistant cultivars by breeding. The cultivar ‘Florina’ is resistant to RAA, and recently, the
Dp-fl
locus responsible for its resistance was mapped on linkage group 8 of the apple genome. In this paper, a chromosome walking approach was performed by using a ‘Florina’ bacterial artificial chromosome (BAC) library. The walking started from the available tightly linked molecular markers flanking the resistance region. Various walking steps were performed in order to identify the minimum tiling path of BAC clones covering the
Dp-fl
region from both the “resistant” and “susceptible” chromosomes of ‘Florina’. A genomic region of about 279 Kb encompassing the
Dp-fl
resistance locus was fully sequenced by the PacBio technology. Through the development of new polymorphic markers, the mapping interval around the resistance locus was narrowed down to a physical region of 95 Kb. The annotation of this sequence resulted in the identification of four candidate genes putatively involved in the RAA resistance response. |
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ISSN: | 1614-2942 1614-2950 |
DOI: | 10.1007/s11295-018-1227-3 |