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Identification and QTL mapping of whitefly resistance components in Solanum galapagense

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Abstract

Solanum galapagense is closely related to the cultivated tomato and can show a very good resistance towards whitefly. A segregating population resulting from a cross between the cultivated tomato and a whitefly resistant S. galapagense was created and used for mapping whitefly resistance and related traits, which made it possible to study the genetic basis of the resistance. Quantitative trait loci (QTL) for adult survival co-localized with type IV trichome characteristics (presence, density, gland longevity and gland size). A major QTL (Wf-1) was found for adult survival and trichome characters on Chromosome 2. This QTL explained 54.1 % of the variation in adult survival and 81.5 % of the occurrence of type IV trichomes. A minor QTL (Wf-2) for adult survival and trichome characters was identified on Chromosome 9. The major QTL was confirmed in F3 populations. Comprehensive metabolomics, based on GCMS profiling, revealed that 16 metabolites segregating in the F2 mapping population were associated with Wf-1 and/or Wf-2. Analysis of the 10 most resistant and susceptible F2 genotypes by LCMS showed that several acyl sugars were present in significantly higher concentration in the whitefly resistant genotypes, suggesting a role for these components in the resistance as well. Our results show that whitefly resistance in S. galapagense seems to inherit relatively simple compared to whitefly resistance from other sources and this offers great prospects for resistance breeding as well as elucidating the underlying molecular mechanism(s) of the resistance.

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Acknowledgments

This project was financially supported by Royal Netherlands Academy of Arts and Sciences-KNAW (High Quality Solanaceous Vegetables by Exploration of Natural Biodiversity; INDOSOL, 05-PP-21) and Senter-Novem grant SOM071010. Roland Mumm and Ric de Vos acknowledge additional funding from the Centre for Biosystems Genomics and the Netherlands Metabolomics Centre, which are both part of the Netherlands Genomics Initiative/Netherlands Organization for Scientific Research. We are grateful to Ramadhani Safitri (PT East West Seed Indonesia, Purwakarta, Indonesia) for providing the non-viruliferous B. tabaci for screenings in Indonesia. We thank Roeland Voorrips for advice on statistical analysis. We are also grateful to Greet Steenhuis-Broers, Fien Meijer, Paul Dijkhuis, Martijn van Kaauwen and Koen Pelgrom for their skilful involvement in this research.

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Authors and Affiliations

  1. Research Center for Bioresources and Biotechnology, Bogor Agricultural University, Bogor, 16680, West Java, Indonesia

    Syarifin Firdaus & Ence Darmo Jaya Supena

  2. Wageningen UR Plant Breeding, Wageningen University and Research Centre, PO Box 386, 6700 AJ, Wageningen, The Netherlands

    Syarifin Firdaus, Adriaan W. van Heusden, Richard G. F. Visser & Ben Vosman

  3. PT East West Seed Indonesia (EWSI), Purwakarta, 41181, West Java, Indonesia

    Nurul Hidayati

  4. Plant Research International, Business Unit Bioscience, Wageningen University and Research Centre, PO Box 619, 6700 AP, Wageningen, The Netherlands

    Roland Mumm & Ric C. H. de Vos

  5. Centre for BioSystems Genomics, P.O. Box 98, 6700 AB, Wageningen, The Netherlands

    Roland Mumm & Ric C. H. de Vos

  6. Netherlands Metabolomics Centre, Einsteinweg 55, 2333 CC, Leiden, The Netherlands

    Ric C. H. de Vos

  7. Graduate School Experimental Plant Sciences, Wageningen, The Netherlands

    Syarifin Firdaus

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  1. Syarifin Firdaus
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  2. Adriaan W. van Heusden
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  3. Nurul Hidayati
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  4. Ence Darmo Jaya Supena
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  5. Roland Mumm
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  6. Ric C. H. de Vos
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  7. Richard G. F. Visser
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  8. Ben Vosman
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Correspondence to Adriaan W. van Heusden.

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Communicated by M. Havey.

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Firdaus, S., van Heusden, A.W., Hidayati, N. et al. Identification and QTL mapping of whitefly resistance components in Solanum galapagense . Theor Appl Genet 126, 1487–1501 (2013). https://doi.org/10.1007/s00122-013-2067-z

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