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Development and application of microsatellite markers for genomic analysis of papaya

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Abstract

Papaya has a relatively small genome, displays high levels of phenotypic diversity, and is amenable to transformation, making it attractive as a fruit tree model system. The high level of phenotypic diversity seen among papaya cultivars in the field does not correlate with the low levels of genotypic polymorphism thus far elucidated. The highly mutable nature of microsatellites or simple sequence repeats (SSRs) make them potentially powerful markers for distinguishing deoxyribonucleic acid (DNA) polymorphisms between closely related genotypes. Genomic research for papaya has resulted in a significant quantity of sequence data. We mined 28.1 Mb of bacterial artificial chromosomes end sequences, 5.8 Mb of complementary DNA, and 1.6 Mb of random genomic sequences for SSRs. We generated 938 SSR markers and tested for polymorphism among seven varieties that had been used to produce five mapping populations. The level of polymorphism was highest for Kaek Dum × 2H94 with 210 markers, followed by UH928 × SunUp with 194, AU9 × SunUp with 189, UH918 × SunUp with 177, and Kapoho × SunUp displaying the lowest level with 97. Variation in levels of polymorphism, motif predominance, and motif length between the genomic and genic fractions indicated differential selection pressures acting on the microsatellites in these two fractions. The microsatellites developed in this study will greatly assist in the genetic and physical mapping of the papaya genome as well as enhance breeders’ ability to improve the crop.

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Acknowledgments

We thank Taesik Uhm for setting up the programs to manually mine SSRs in the early phase of this project. This project was supported by the USDA Tropical and Subtropical Agriculture Research Program (grant HAW00557G) and a USDA-ARS cooperative agreement (CA 58-3020-8-134) with the Hawaii Agriculture Research Center.

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Authors and Affiliations

  1. Hawaii Agriculture Research Center, Aiea, HI, 96701, USA

    Moriah Eustice, Qingyi Yu & Ray Ming

  2. Department of Molecular Bioscience and Bioengineering, University of Hawaii, Honolulu, HI, 96822, USA

    Moriah Eustice, Chun Wan Lai & Gernot G. Presting

  3. Advanced Studies in Genomics, Proteomics and Bioinformatics, University of Hawaii, Honolulu, HI, 96822, USA

    Shaobin Hou & Maqsudul Alam

  4. W.M. Keck Center for Comparative and Functional Genomics, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA

    Jyothi Thimmapuram & Lei Liu

  5. Pacific Basin Agricultural Research Center, Hilo, HI, 96720, USA

    Paul H. Moore

  6. Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Ray Ming

Authors
  1. Moriah Eustice
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  2. Qingyi Yu
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  3. Chun Wan Lai
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  4. Shaobin Hou
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  5. Jyothi Thimmapuram
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  6. Lei Liu
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  7. Maqsudul Alam
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  8. Paul H. Moore
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  9. Gernot G. Presting
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  10. Ray Ming
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Corresponding author

Correspondence to Ray Ming.

Additional information

Communicated by A. Abbott

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11295_2007_112_MOESM1_ESM.xls

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Eustice, M., Yu, Q., Lai, C.W. et al. Development and application of microsatellite markers for genomic analysis of papaya. Tree Genetics & Genomes 4, 333–341 (2008). https://doi.org/10.1007/s11295-007-0112-2

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  • DOI: https://doi.org/10.1007/s11295-007-0112-2

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