Tree Genetics & Genomes

, 14:16 | Cite as

Genetics of resistance in apple against Venturia inaequalis (Wint.) Cke

  • Yash P. Khajuria
  • Sanjana Kaul
  • Aijaz A. Wani
  • Manoj K. Dhar
Review
Part of the following topical collections:
  1. Disease Resistance

Abstract

Apple (Malus × domestica) is the third important fruit in terms of production and consumption worldwide. Apple scab caused by Venturia inaequalis is the most devastating disease of apple. In the apple-growing regions, many fungicides are sprayed to control the disease leading to increase in the production cost. Development of scab-resistant cultivars is the long-lasting solution to control the disease. In apples, more than 20 major scab resistance genes have been identified in various cultivars and few wild relatives. Of all these genes, Rvi6 derived from Malus floribunda has been most extensively used in different breeding programs. Gene for gene interactions of these resistance genes with the avirulence genes from V. inaequalis have been understood in many cases. QTL-based polygenic resistance has also been characterized in apple. Nucleotide Binding Site Leucine-Rich Repeats (NBS-LRR) have been identified from the apple genome and many of them have been characterized from the scab resistance region. Molecular markers associated with most of the major scab resistance genes have been identified and their position has been mapped on different linkage groups. Marker-assisted selection (MAS) can be helpful in speeding up and accurately identifying the scab-resistant parents and progeny. Pyramiding of several major resistance genes can be undertaken for more durable resistance against apple scab. The present paper reviews the Malus-Venturia pathosystem, current status of knowledge about scab resistance genes, and their application in breeding against apple scab.

Keywords

Malus domestica Venturia inaequalis Race Apple scab Avirulence Disease resistance genes MAS QTL 

Notes

Acknowledgments

Authors are thankful to DST-SERB and DBT for financial assistance. Thanks are due to Coordinator, Bioinformatics Centre, University of Jammu for providing the necessary facilities. We are highly grateful to anonymous reviewers for critical and detailed comments, which helped us to improve the manuscript.

Compliance with ethical standards

The submission complies with the ethical standards.

Conflict of interest

The authors declare that they have no conflict of interest.

Data archiving statement

The review includes compiled information and has not generated any data which could be submitted to a database.

Supplementary material

11295_2018_1226_MOESM1_ESM.docx (22 kb)
ESM 1 (DOCX 21 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Yash P. Khajuria
    • 1
  • Sanjana Kaul
    • 1
  • Aijaz A. Wani
    • 2
  • Manoj K. Dhar
    • 1
  1. 1.School of BiotechnologyUniversity of JammuJammuIndia
  2. 2.Department of BotanyUniversity of KashmirSrinagarIndia

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