Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-27T07:48:13.277Z Has data issue: false hasContentIssue false

A panel of elite accessions of durum wheat (Triticum durum Desf.) suitable for association mapping studies

Published online by Cambridge University Press:  12 February 2007

Marco Maccaferri
Affiliation:
Department of Agroenvironmental Science and Technology, University of Bologna, Bologna, Italy
Maria Corinna Sanguineti
Affiliation:
Department of Agroenvironmental Science and Technology, University of Bologna, Bologna, Italy
Vincenzo Natoli
Affiliation:
Department of Agroenvironmental Science and Technology, University of Bologna, Bologna, Italy
José Luis Araus Ortega
Affiliation:
Departament de Biologia Vegetal, Universitat de Barcelona, Barcelona, Spain
Moncef Ben Salem
Affiliation:
Tunisian National Institute of Agronomic Research, Tunis, Tunisia
Jordi Bort
Affiliation:
Departament de Biologia Vegetal, Universitat de Barcelona, Barcelona, Spain
Cynda Chenenaoui
Affiliation:
Tunisian National Institute of Agronomic Research, Tunis, Tunisia
Enzo De Ambrogio
Affiliation:
Società Produttori Sementi Bologna, Divisione Ricerca, Argelato (BO), Italy
Luis Garcia del Moral
Affiliation:
Dpto. Fisiologia Vegetal, University of Granada, Granada, Spain
Andrea De Montis
Affiliation:
Società Produttori Sementi Bologna, Divisione Ricerca, Argelato (BO), Italy
Ahmed El-Ahmed
Affiliation:
Plant Protection Department, Aleppo University, Aleppo, Syria
Fouad Maalouf
Affiliation:
Department of Plant Breeding, Lebanese Agricultural Research Institute, Bekaa, Lebanon
Hassan Machlab
Affiliation:
Department of Plant Breeding, Lebanese Agricultural Research Institute, Bekaa, Lebanon
Mark Moragues
Affiliation:
Area de Conreus Extensius Centre Udl-IRTA, Lleida, Spain
Jihan Motawaj
Affiliation:
ICARDA, Aleppo, Syria
Miloudi Nachit
Affiliation:
ICARDA, Aleppo, Syria
Nasserlehaq Nserallah
Affiliation:
CRRA-INRA, Settat, Morocco
Hassan Ouabbou
Affiliation:
CRRA-INRA, Settat, Morocco
Conxita Royo
Affiliation:
Area de Conreus Extensius Centre Udl-IRTA, Lleida, Spain
Roberto Tuberosa*
Affiliation:
Department of Agroenvironmental Science and Technology, University of Bologna, Bologna, Italy
*
*Corresponding author. E-mail:roberto.tuberosa@unibo.it

Abstract

The effectiveness of association mapping (AM) based on linkage disequilibrium (LD) is currently being tested in a number of crops. An important prerequisite for the application of AM is the availability of collections of accessions with a suitable level of genetic variation for target traits and with limited spurious LD due to the presence of population structure. Herein, the results of a genome-wide molecular characterization of a collection of elite durum wheat accessions well-adapted to Mediterranean environments are presented. Ninety-seven highly polymorphic simple sequence repeats and 166 amplified fragment length polymorphism markers were used to characterize 189 durum accessions, mainly cultivars and advanced breeding lines. Genome-wide significant and sizeable LD indices at a centimorgan scale were observed, while LD mainly decayed within 10 cM. On the other hand, effects due to spurious LD were notably lower than those previously observed in a durum wheat collection sampling durum gene pools of more diverse origin. These results, coupled with the high level of genetic variability detected for a number of important morpho-physiological traits and their high heritability, indicate the suitability of this collection for AM studies targeting agronomically important traits.

Type
Research Article
Copyright
Copyright © NIAB 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Breseghello, F and Sorrells, ME (2006) Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars. Genetics 172: 11651177.CrossRefGoogle ScholarPubMed
Buckler, ES 4th and Thornsberry, JM (2002) Plant molecular diversity and applications to genomics. Current Opinion in Plant Biology 5: 107111CrossRefGoogle Scholar
Falush, D, Stephens, M and Pritchard, JK (2004) Inference of population structure: extensions to linked loci and correlated allele frequencies. Genetics 164: 15671587.CrossRefGoogle Scholar
Farnir, F, Coppieters, W, Arranz, JJ, Berzi, P, Cambisano, N, Grisart, B, Karim, L, Marcq, F, Moreau, L, Mni, M, Nezer, C, Simon, P, Vanmanshoven, P, Wagenaar, D and Georges, M (2000) Extensive genome-wide linkage disequilibrium in cattle. Genome Research 10: 220227.CrossRefGoogle ScholarPubMed
Flint-Garcia, SA, Thornsberry, JM and Buckler, ES 4th (2003) Structure of linkage disequilibrium in plants. Annual Review of Plant Biology 54: 357374.CrossRefGoogle ScholarPubMed
Flint-Garcia, SA, Thuillet, AC, Yu, J, Pressoir, G, Romero, SM, Mitchell, SE, Doebley, J, Kresovich, S, Goodman, MM and Buckler, ES (2005) Maize association population: a high-resolution platform for quantitative trait locus dissection. Plant Journal 44: 10541064.CrossRefGoogle ScholarPubMed
Gordon, D, Finch, SJ (2005) Factors affecting statistical power in the detection of genetic association. Journal of Clinical Investigations 115: 14081418.CrossRefGoogle ScholarPubMed
Hagenblad, J, Tang, C, Molitor, J, Werner, J, Zhao, K, Zheng, H, Marjoram, P, Weigel, D and Nordborg, M (2004) Haplotype structure and phenotypic associations in the chromosomal regions surrounding two Arabidopsis thaliana flowering time loci. Genetics 168: 16271638.CrossRefGoogle ScholarPubMed
Hardy, OJ and Vekemans, X (2002) SPAGeDi: a versatile computer program to analyse spatial genetic structure at the individual or population levels. Molecular Ecology Notes 2: 618620.CrossRefGoogle Scholar
Jansen, RC, Jannink, JL and Beavis, WD (2003) Mapping quantitative trait loci in plant breeding populations: use of parental haplotype sharing. Crop Science 43: 829834.Google Scholar
Liu, K, Goodman, M, Muse, S, Smith, JS, Buckler, E and Doebley, J (2003) Genetic structure and diversity among maize inbred lines as inferred from DNA microsatellites. Genetics 165: 21172128.CrossRefGoogle ScholarPubMed
Loiselle, BA, Sork, VL, Nason, J and Graham, C (1995) Spatial genetic structure of a tropical understory shrub, Psychotria officinalis ( Rubiaceae). American Journal of Botany 82: 14201425.CrossRefGoogle Scholar
Lu, H and Bernardo, R (2001) Molecular marker diversity of current and historical maize inbreds. Theoretical and Applied Genetics 103: 613617CrossRefGoogle Scholar
Maccaferri, M, Ratti, C, Tuberosa, R, Rubies Autonell, C, Vallega, V and Sanguineti, MC (2005 a) A durum wheat germplasm collection suitable for gene discovery via association mapping. In:Proceedings of the International Symposium on Genomics-based Plant Germplasm Research 4757Beijing, China 25–28 April 2005Google Scholar
Maccaferri, M, Sanguineti, MC, Noli, E and Tuberosa, R (2005 b) Population structure and long-range disequilibrium in a durum wheat elite collection. Molecular Breeding 15: 271290.CrossRefGoogle Scholar
Malysheva-Otto, LV, Ganal, MW and Roder, MS (2006) Analysis of molecular diversity, population structure and linkage disequilibrium in a worldwide survey of cultivated barley germplasm ( Hordeum vulgare L.). BMC Genetics 7: 6 (DOI: 10.1186/1471-2156-7-6).CrossRefGoogle Scholar
Matsuoka, Y, Mitchell, SE, Kresovich, S, Goodman, M and Doebley, J (2002) Microsatellites in Zea —variability, patterns of mutations, and use for evolutionary studies. Theoretical and Applied Genetics 104: 436450.CrossRefGoogle ScholarPubMed
Morgante, M and Salamini, F (2003) From plant genomics to breeding practice. Current Opinion in Biotechnology 14: 214219.CrossRefGoogle ScholarPubMed
Nordborg, M, Borevitz, JO, Bergelson, J, Berry, CC, Chory, J, Hagenblad, J, Kreitman, M, Maloof, JN, Noyes, T, Oefner, PJ, Stahl, EA and Weigel, D (2002) The extent of linkage disequilibrium in Arabidopsis thaliana. Nature Genetics 30: 190193.CrossRefGoogle ScholarPubMed
Pritchard, JK and Przeworski, M (2001) Linkage disequilibrium in humans: models and data. American Journal of Human Genetics 69: 114.CrossRefGoogle ScholarPubMed
Pritchard, JK, Stephens, M and Donnelly, P (2000 a) Inference of population structure using multilocus genotype data. Genetics 155: 945959.CrossRefGoogle ScholarPubMed
Pritchard, JK, Stephens, M, Rosenberg, NA and Donnelly, P (2000 b) Association mapping in structured populations. American Journal of Human Genetics 67: 170181.CrossRefGoogle ScholarPubMed
Rafalski, A and Morgante, M (2004) Corn and humans: recombination and linkage disequilibrium in two genomes of similar size. Trends in Genetics 20: 103111.CrossRefGoogle ScholarPubMed
Remington, DL, Thornsberry, JM, Matsuoka, Y, Wilson, LM, Whitt, SR, Doebley, J, Kresovich, S, Goodman, MM and Buckler, ES 4th (2001) Structure of linkage disequilibrium and phenotypic associations in the maize genome. Proceedings of the National Academy of Science USA 98: 1147911484.CrossRefGoogle ScholarPubMed
Röder, MS, Korzun, V, Wendehake, K, Plaschke, J, Tixier, MH, Leroy, P and Ganal, MW (1998) A microsatellite map of wheat. Genetics 149: 20072023.CrossRefGoogle ScholarPubMed
Rohlf, FJ (1997) NTSYS-PC: Numerical Taxonomy and Multivariate Analyses System. New York: Exeter Software.Google Scholar
Saghai-Maroof, MA, Soliman, KM, Jorgensen, RA and Allard, RW (1984) Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. Proceedings of the National Academy of Science USA 81: 80148018.CrossRefGoogle ScholarPubMed
Somers, DJ, Isaac, P and Edwards, KJ (2004) A high density microsatellite consensus map for bread wheat ( Triticum aestivum L.). Theoretical and Applied Genetics 109: 11051114.CrossRefGoogle ScholarPubMed
Sourdille, P, Singh, S, Cadalen, T, Brown-Guedira, GL, Gay, G, Qi, L, Gill, BS, Dufour, P, Murigneux, A and Bernard, M (2004) Microsatellite-based deletion bin system for the establishment of genetic-physical map relationships in wheat ( Triticum aestivum L.). Functional and Integrative Genomics 4: 1225.CrossRefGoogle ScholarPubMed
Varilo, T, Paunio, T, Parker, A, Perola, M, Meyer, J, Terwilliger, JD and Peltonen, L (2003) The interval of linkage disequilibrium (LD) detected with microsatellite and SNP markers in chromosomes of Finnish populations with different histories. Human Molecular Genetics 12: 5159.CrossRefGoogle ScholarPubMed
Varshney, RK, Graner, A and Sorrells, ME (2005) Genomics-assisted breeding for crop improvement. Trends in Plant Science 10: 561562.CrossRefGoogle ScholarPubMed
Vos, P, Hogers, R, Bleeker, M, Reijans, M, Van de Lee, T, Hornes, M, Frijters, A, Pot, J, Peleman, J, Kuiper, M and Zabeau, M (1995) AFLP: a new technique for DNA fingerprinting. Nucleic Acid Research 23: 44074414.CrossRefGoogle ScholarPubMed
Weir, BS (1996) Genetic Data Analysis II. Sunderland, MA: Sinauer AssociatesGoogle Scholar
Yu, J, Pressoir, G, Briggs, WH, Vroh Bi, I, Yamasaki, M, Doebley, JF, McMullen, MD, Gaut, BS, Nielsen, DM, Holland, JB, Kresovich, S and Buckler, ES (2006) A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nature Genetics 38: 203208.CrossRefGoogle ScholarPubMed
Zondervan, KT, Cardon, LR (2004) The complex interplay among factors that influence allelic association. Nature Reviews Genetics 5: 89100.CrossRefGoogle ScholarPubMed