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Theoretical and Applied Genetics

, Volume 127, Issue 8, pp 1783–1794 | Cite as

Next-generation sequencing based genotyping, cytometry and phenotyping for understanding diversity and evolution of guinea yams

  • Gezahegn Girma
  • Katie E. Hyma
  • Robert Asiedu
  • Sharon E. Mitchell
  • Melaku Gedil
  • Charles Spillane
Original Paper

Abstract

Key message

Genotyping by sequencing (GBS) is used to understand the origin and domestication of guinea yams, including the contribution of wild relatives and polyploidy events to the cultivated guinea yams.

Abstract

Patterns of genetic diversity within and between two cultivated guinea yams (Dioscorea rotundata and D. cayenensis) and five wild relatives (D. praehensilis, D. mangenotiana, D. abyssinica, D. togoensis and D. burkilliana) were investigated using next-generation sequencing (genotyping by sequencing, GBS). Additionally, the two cultivated species were assessed for intra-specific morphological and ploidy variation. In guinea yams, ploidy level is correlated with species identity. Using flow cytometry a single ploidy level was inferred across D. cayenensis (3x, N = 21), D. praehensilis (2x, N = 7), and D. mangenotiana (3x, N = 5) accessions, whereas both diploid and triploid (or aneuploid) accessions were present in D. rotundata (N = 11 and N = 32, respectively). Multi-dimensional scaling and maximum parsimony analyses of 2,215 SNPs revealed that wild guinea yam populations form discrete genetic groupings according to species. D. togoensis and D. burkilliana were most distant from the two cultivated yam species, whereas D. abyssinica, D. mangenotiana, and D. praehensilis were closest to cultivated yams. In contrast, cultivated species were genetically less clearly defined at the intra-specific level. While D. cayenensis formed a single genetic group, D. rotundata comprised three separate groups consisting of; (1) a set of diploid individuals genetically similar to D. praehensilis, (2) a set of diploid individuals genetically similar to D. cayenensis, and (3) a set of triploid individuals. The current study demonstrates the utility of GBS for assessing yam genomic diversity. Combined with morphological and biological data, GBS provides a powerful tool for testing hypotheses regarding the evolution, domestication and breeding of guinea yams.

Keywords

Switchgrass Ploidy Level Wild Relative Single Nucleotide Polymorphism Locus Single Nucleotide Polymorphism Calling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The CGIAR Research Program on Roots, Tubers and Bananas funded this research. Prof. Alexander Dansi provided materials from Benin. Prof. Michael Abberton and Dr. Marc Deletre reviewed the manuscript. GG acknowledges support from the Netherlands Ministry of Foreign Affairs, and PhD fee waiver from the National University of Ireland Galway. CS acknowledges support from Science Foundation Ireland (SFI).

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

122_2014_2339_MOESM1_ESM.docx (20 kb)
Supplementary material 1 (DOCX 21 kb)
122_2014_2339_MOESM2_ESM.pdf (539 kb)
Supplementary material 2 (PDF 538 kb)
122_2014_2339_MOESM3_ESM.pdf (264 kb)
Supplementary material 3 (PDF 263 kb)
122_2014_2339_MOESM4_ESM.docx (89 kb)
Supplementary material 4 (DOCX 89 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Gezahegn Girma
    • 1
    • 2
  • Katie E. Hyma
    • 3
    • 4
  • Robert Asiedu
    • 1
  • Sharon E. Mitchell
    • 3
  • Melaku Gedil
    • 1
  • Charles Spillane
    • 2
  1. 1.International Institute of Tropical Agriculture (IITA)IbadanNigeria
  2. 2.Genetics and Biotechnology Lab, Plant and AgriBiosciences Research Centre (PABC), School of Natural SciencesNational University of Ireland GalwayGalwayIreland
  3. 3.Institute for Genomic DiversityCornell UniversityIthacaUSA
  4. 4.Bioinformatics FacilityCornell UniversityIthacaUSA

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