Theoretical and Applied Genetics

, Volume 130, Issue 6, pp 1099–1112 | Cite as

Molecular diversity of sunflower populations maintained as genetic resources is affected by multiplication processes and breeding for major traits

  • Brigitte Mangin
  • Nicolas Pouilly
  • Marie-Claude Boniface
  • Nicolas B. Langlade
  • Patrick Vincourt
  • Felicity Vear
  • Stéphane MuñosEmail author
Original Article


Key message

SNP genotyping of 114 cultivated sunflower populations showed that the multiplication process and the main traits selected during breeding of sunflower cultivars drove molecular diversity of the populations.


The molecular diversity in a set of 114 cultivated sunflower populations was studied by single-nucleotide polymorphism genotyping. These populations were chosen as representative of the 400 entries in the INRA collection received or developed between 1962 and 2011 and made up of land races, open-pollinated varieties, and breeding pools. Mean allele number varied from 1.07 to 1.90. Intra-population variability was slightly reduced according to the number of multiplications since entry but some entries were probably largely homozygous when received. A principal component analysis was used to study inter-population variability. The first 3 axes accounted for 17% of total intra-population variability. The first axis was significantly correlated with seed oil content, more closely than just the distinction between oil and confectionary types. The second axis was related to the presence or absence of restorer genes and the third axis to flowering date and possibly to adaptation to different climates. Our results provide arguments highlighting the effect of the maintenance process on the within population genetic variability as well as on the impact of breeding for major agronomic traits on the between population variability of the collection. Propositions are made to improve sunflower population maintenance procedures to keep maximum genetic variability for future breeding.


Linkage Group Inbred Line Simple Sequence Repeat Marker Population Projection Restorer Gene 
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.



This work (Heliadiv project) was financially supported by PROMOSOL and INRA.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

122_2017_2872_MOESM1_ESM.pdf (106 kb)
Supplementary material 1 (PDF 106 KB)
122_2017_2872_MOESM2_ESM.xlsx (61 kb)
Supplementary material 2 (XLSX 61 KB)


  1. Arcade A, Falque M, Mangin B, Chardon F, Charcosset A, Joets J (2004) BioMercator: integrating genetic maps and QTL towards discovery of candidate genes. Bioinformatics 20:2324–2326CrossRefPubMedGoogle Scholar
  2. Börner A, Khlestkina EK, Chebotar S, Nagel M, Rehman Arif MA, Neumann K, Kobiljski B, Lohwasser U, Röder MS (2012) Molecular markers in management of ex situ PGR—a case study. J Biosci 37(5):871–877CrossRefPubMedGoogle Scholar
  3. Cadic E, Coque M, Vear F, Grezes-Besset B, Pauquet J, Piquemal J, Lippi Y, Blanchard P, Romestant M, Pouilly N, Rengel D, Gouzy J, Langlade N, Mangin B, Vincourt P (2013) Combined linkage and association mapping of flowering time in Sunflower (Helianthus annuus L.). Theor Appl Genet 126(5):1337–1356CrossRefPubMedGoogle Scholar
  4. Coque M, Mesnildrey S, Romestant M, Grezes-Besset B, Vear F, Langlade NB, Vincourt P (2008) Sunflower lines core collections for association studies and phenomics. In: Proc. 17th ISC, Cordoba, Spain, June 8–12, 2008.
  5. Dallard J, Noël P, Gouesnard B, Boyat A (2000) A network for the management of genetic resources of maize populations in France. Plant Genet Resour Newsl 123:35–40Google Scholar
  6. Deulvot C, Charrel H, Marty A, Jacquin F, Donnadieu C, Lejeune-Hénaut I, Burstin J, Aubert G (2010) Highly-multiplexed SNP genotyping for genetic mapping and germplasm diversity studies in pea. BMC Genomics 11(1):468CrossRefPubMedPubMedCentralGoogle Scholar
  7. Emanuelli F, Lorenzi S, Grzeskowiak L, Catalano V, Stefanini M, Troggio M, Myles S, Martinez-Zapater JM, Zyprian E, Moreira FM, Grando S (2013) Genetic diversity and population structure assessed by SSR and SNP markers in a large germplasm collection of grape. BMC Plant Biol 13:39CrossRefPubMedPubMedCentralGoogle Scholar
  8. Filippi CV, Aguirre N, Rivas JG, Zubrzycki J, Puebla A, Cordes D, Moreno MV, Fusari CM, Alvarez D, Heinz RA, Hopp HE, Paniego NB, Lia VV (2015) Population structure and genetic diversity characterization of a sunflower association mapping population using SSR and SNP markers. BMC Plant Biol 70-014-0:360–360x. doi: 10.1186/s128 Google Scholar
  9. Fjellheim S, Tanhuanpää P, Marum P, Manninen O, Rognli OA (2015) Phenotypic or molecular diversity screening for conservation of genetic resources? An example from a genebank collection of the temperate forage grass timothy. Crop Sci 55:1646–1659CrossRefGoogle Scholar
  10. Gandhi SD, Heesacker AF, Freeman CA, Argyris J, Bradford K, Knapp SJ (2005) The self-incompatibility locus (S) and quantitative trait loci for self-pollination and seed dormancy in sunflower. Theor Appl Genet 111(4):619–629CrossRefPubMedGoogle Scholar
  11. Gentzbittel L, Zhang YX, Vear F, Griveau B, Nicolas P (1994) RFLP studies of genetic relationships among inbred lines of the cultivated sunflower, Helianthus annuus L.: evidence for distinct restorer and maintainer germplasm pools. Theor Appl Genet 89:419–425CrossRefPubMedGoogle Scholar
  12. Gentzbittel L, Mestries E, Mouzeyar S, Mazeyrat F, Badaoui S, Vear F, Tourvieille de Labrouhe D, Nicolas P (1999) A composite map of expressed sequences and phenotypic traits of the sunflower (Helianthus annuus L.) genome. Theor Appl Genet 99:218–234CrossRefGoogle Scholar
  13. Haddadi P, Yazdi-Samadi B, Langlade NB, Naghavi M, Berger M, Kalantari A, Calmon A, Maury P, Vincourt P, Sarrafi A (2010) Genetic control of protein, oil and fatty acids content under partial drought stress and late sowing conditions in sunflower (Helianthus annuus). Afr J Biotechnol 9(40):6768–6782Google Scholar
  14. Hamblin MT, Warburton ML, Buckler ES (2007) Empirical comparison of simple sequence repeats and single nucleotide polymorphisms in assessment of maize diversity and relatedness. PLoS One 2(12):e1367CrossRefPubMedPubMedCentralGoogle Scholar
  15. Heiser CB (1976) The sunflower. Oklahoma University Press, Oklahoma, pp 198Google Scholar
  16. Horne EC, Kumpatla SP, Patterson KA, Gupta M, Thompson SA (2004) Improved high-throughput sunflower and cotton genomic DNA extraction and PCR fidelity. Plant Mol Biol Report 22(1):83–84CrossRefGoogle Scholar
  17. Kane NC, Burke JM, Marek L, Seiler G, Vear F, Baute G, Knapp SJ, Vincourt P, Rieseberg LH (2013) Sunflower genetic, genomic and ecological resources. Mol Ecol Resour 13:10–20CrossRefPubMedGoogle Scholar
  18. Kwok PY (2001) Methods for genotyping single nucleotide polymorphisms. Annu Rev Genomics Hum Genet 2(1):235–258CrossRefPubMedGoogle Scholar
  19. Leclercq P (1969) Une stérilité mâle cytoplasmique chez le tournesol. Ann Amelior Pl 19:99–106Google Scholar
  20. Mandel JR, Dechaine JM, Marek LF, Burke JM (2011) Genetic diversity and population structure in cultivated sunflower and a comparison to its wild progenitor, Helianthus annuus L. Theor Appl Genet 123:693–704CrossRefPubMedGoogle Scholar
  21. Merah O, Langlade N, Alignan M, Roche J, Pouilly N, Lippi Y, Vear F, Cerny M, Bouniols A, Mouloungui Z, Vincourt P (2012) Genetic analysis of phytosterol content in sunflower seeds. Theor Appl Genet 125(8):1589–1601CrossRefPubMedGoogle Scholar
  22. Moreno MV, Nishinakamasu V, Loray MA, Alvarez D, Gieco J, Vicario A, Hopp HE, Heinz RA, Paniego N, Lia VV (2013) Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations. Plant Genet Resour 11:238–249CrossRefGoogle Scholar
  23. Nei M (1973) Estimation of gene diversity in subdivised populations. PNAS 70:3321–3323CrossRefPubMedPubMedCentralGoogle Scholar
  24. Perkel J (2008) SNP genotyping: six technologies that keyed a revolution. Nat Methods 5(5):447–454CrossRefGoogle Scholar
  25. Putt ED (1964) Sunflower breeding in Canada. In: Proc. 1st Int. Sunflower Conference, College Station, Texas, USA, June 17–18, 1964.
  26. Quillet MC, Vear F, Branlard G (1992) The use of isoenzyme polymorphism for identification of sunflower (Helianthus annuus) inbred lines. J Genet Breed 46:295–304Google Scholar
  27. R Core Team (2014) R: a language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria.
  28. Rebourg C, Gouesnard B, Charcosset A (2001) Large scale molecular analysis of traditional European maize populations. Relationships with morphological variation. Heredity 86:574–587CrossRefPubMedGoogle Scholar
  29. Shannon CE, Weaver W (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–423 and 623–656Google Scholar
  30. Singh N, Choudhury DR, Singh AK, Kumar S, Srinivasan K, Tyagi RK, Singh NK, Singh R (2013) Comparison of SSR and SNP markers in estimation of genetic diversity and population structure of Indian rice varieties. PLoS One 8(12):e84136CrossRefPubMedPubMedCentralGoogle Scholar
  31. Tersac M, Blanchard P, Brunel D, Vincourt P (1994) Relations between heterosis and enzymatic polymorphism in populations of cultivated sunflowers (Helianthus annuus L.). Theor Appl Genet 88:49–55CrossRefPubMedGoogle Scholar
  32. Varshney RK, Chabane K, Hendre PS, Aggarwal RK, Graner A (2007) Comparative assessment of EST-SSR, EST-SNP and AFLP markers for evaluation of genetic diversity and conservation of genetic resources using wild, cultivated and elite barleys. Plant Sci 173:638–649CrossRefGoogle Scholar
  33. Vear F (2016) Changes in sunflower breeding over the last fifty years. OCL 23:D202CrossRefGoogle Scholar
  34. Vear F, Gentzbittel L, Philippon J, Mouzeyar S, Mestries E, Roeckel-Drevet P, Tourvieille de Labrouhe D, Nicolas P (1997) The genetics of resistance to five races of downy mildew (Plasmopara halstedii) in sunflower (Helianthus annuus L.). Theor App Genet 95(4):584–589CrossRefGoogle Scholar
  35. Vear F, Cadid E, Vincourt P (2011) Diversity among cultivated sunflower resources and use in breeding. Helia 34:21–30CrossRefGoogle Scholar
  36. Vincourt P, As-sadi F, Bordat A, Langlade NB, Gouzy J, Pouilly N, Lippi Y, Serre F, Godiard L, Tourvieille de labrouhe D, Vear F (2012) Consensus mapping of major resistance genes and independent QTL for quantitative resistance to sunflower downy mildew. Theor Appl Genet 125(5):909–920CrossRefPubMedGoogle Scholar
  37. Warburton ML, Xianchun X, Crossa J, Franco J, Melchinger AE, Frisch M, Bohn M, Hoisington D (2002) Genetic characterization of CIMMYT inbred maize lines and open pollinated populations using large scale fingerprinting methods. Crop Sci 42:1832–1840CrossRefGoogle Scholar
  38. Zimmer DE, Kinman ML (1972) Downy mildew resistane in cultivated sunflower and its inheritance. Crop Sci 12:749–775CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Brigitte Mangin
    • 1
  • Nicolas Pouilly
    • 1
  • Marie-Claude Boniface
    • 1
  • Nicolas B. Langlade
    • 1
  • Patrick Vincourt
    • 1
  • Felicity Vear
    • 2
  • Stéphane Muños
    • 1
    Email author
  1. 1.LIPM, Université de Toulouse, INRA, CNRSCastanet-TolosanFrance
  2. 2.GDEC, INRA, Université Clermont II Blaise PascalClermont-FerrandFrance

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