Molecular diversity and genetic structure of modern and traditional landrace cultivars of wheat (Triticum aestivum L.)
Harsh Raman A D E , B. J. Stodart A E , Colin Cavanagh B , M. Mackay C , Matthew Morell B , Andrew Milgate A E and Peter Martin A EA EH Graham Centre for Agricultural Innovation, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia.
B CSIRO Food Futures Flagship, Division of Plant Industry, Canberra, ACT 2601, Australia.
C Australian Winter Cereals Collection, Tamworth Agricultural Institute, Tamworth, NSW 2340, Australia.
D Corresponding author. Email: harsh.raman@industry.nsw.gov.au
E The EH Graham Centre for Agricultural Innovation is an alliance between the Industry and Investment NSW and Charles Sturt University, Wagga Wagga, Australia.
Crop and Pasture Science 61(3) 222-229 https://doi.org/10.1071/CP09093
Submitted: 20 March 2009 Accepted: 13 December 2009 Published: 9 March 2010
Abstract
Wheat is one of the most important cereal crops of the world. In order to achieve continued genetic gain in wheat improvement programs, an assessment and utilisation of genetic diversity in a wide range of germplasm are required. The Australian Winter Cereal Collection (AWCC, Tamworth) holds over 33 000 accessions of wheat. In this study, we scanned the genome of 1057 accessions of hexaploid common wheat (Triticum aestivum L.) originating from different geographic regions of the world, with 178 polymorphic DArT™ markers. These accessions comprised modern cultivars (MCs), advanced breeding lines (BLs), and landrace cultivars (LCs). Our results indicate that the LCs had higher polymorphic information content (PIC values) than the MCs and BLs. Cluster and principal coordinate analysis based on genetic distance matrices enabled classification of the 1057 accessions into 12 subgroups. The structure of subgroups appeared to be geographically determined and was generally consistent with pedigrees. Molecular analyses revealed that LCs have unique alleles compared with MCs and BLs, which may be useful for the genetic improvement of wheat.
Additional keywords: genetic diversity, germplasm, DArT.
Acknowledgments
We thank Mr Greg Grimes, curator of the AWCC collection, for supplying seed. This research was supported by funding from the BioFirst Initiative of the NSW Government, the Australian Winter Cereal Molecular Marker Program (project DAN72), I&I NSW, and CSIRO Plant Industry, Canberra.
Ahmad M
(2002) Assessment of genomic diversity among wheat genotypes as determined by simple sequence repeats. Genome 45, 646–651.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Akbari M,
Wenzl P,
Caig V,
Carling J,
Xia L,
Yang S,
Uszynski G,
Mohler V,
Lehmensiek A,
Kuchel H,
Hayden MJ,
Howes N,
Sharp P,
Vaughan P,
Rathmell B,
Huttner E, Kilian A
(2006) Diversity arrays technology (DArT) for high-throughput profiling of the hexaploid wheat genome. Theoretical and Applied Genetics 113, 1409–1420.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Bertin P,
Grégoire D,
Massart S, de Froidmont D
(2001) Genetic diversity among European cultivated spelt revealed by microsatellites. Theoretical and Applied Genetics 102, 148–156.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Caballero L,
Martín LM, Alvarez JB
(2004) Genetic variability of the low- molecular-weight glutenin subunits in spelt wheat (Triticum aestivum ssp. spelta L. em Thell.). Theoretical and Applied Genetics 108, 914–919.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Chen HB,
Martin JM,
Lavin M, Talbert LE
(1994) Genetic diversity in hard red spring wheat based on sequence tagged site PCR markers. Crop Science 34, 1628–1632.
|
CAS |
Clarke KR
(1993) Non-parametric multivariate analysis of changes in community structure. Australian Journal of Ecology 18, 117–143.
| Crossref | GoogleScholarGoogle Scholar |
De Riek J,
Calsyn E,
Everaert I,
Van Bockstaele E, De Loose M
(2001) AFLP based alternatives for the assessment of distinctness, uniformity and stability of sugarbeet varieties. Theoretical and Applied Genetics 103, 1254–1265.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
DeLacy IH,
Skovmand B, Huerta J
(2000) Characterization of Mexican wheat landraces using agronomically useful attributes. Genetic Resources and Crop Evolution 47, 591–602.
| Crossref | GoogleScholarGoogle Scholar |
Eujayl I,
Sorrells M,
Baum M,
Wolters P, Powell W
(2001) Assessment of genotypic variation among cultivated durum wheat based on EST-SSRs and genomic SSRs. Euphytica 119, 39–43.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Fu YB,
Peterson G,
Yu JK,
Gao L,
Jia J, Richards K
(2006) Impact of plant breeding on genetic diversity of the Canadian hard red spring wheat germplasm as revealed by EST-derived SSR markers. Theoretical and Applied Genetics 112, 1239–1247.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Guadagnuolo R,
Bianchi DS, Felber F
(2001) Specific genetic markers for wheat, spelt, and four wild relatives: comparison of isozymes, RAPDs, and wheat microsatellites. Genome 44, 610–621.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Hoisington D,
Khairallah M,
Reeves T,
Ribaut J-M,
Skovmand B,
Taba S, Warburton M
(1999) Plant genetic resources: What can they contribute toward increased crop productivity? Proceedings of the National Academy of Sciences of the United States of America 96, 5937–5943.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Huang XQ,
Borner A,
Roder MS, Ganal MW
(2002) Assessing genetic diversity of wheat (Triticum aestivum L.) germplasm using microsatellite markers. Theoretical and Applied Genetics 105, 699–707.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Joshi CP, Nguyen HT
(1993) RAPD (random amplified polymorphic DNA) analysis based intervarietal genetic relationships among hexaploid wheats. Plant Science 93, 95–103.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Kaur N,
Street K,
Mackay M,
Yahiaoui N, Keller B
(2008) Molecular approaches for characterization and use of natural disease in wheat. European Journal of Plant Pathology 121, 387–397.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Kihara H
(1944) Die discovery of the DD-analyser, one of the ancestors of Triticum vulgare (Japanese). Agriculture and Horticulture (Tokyo) 19, 13–14.
Kim HS, Ward RW
(1997) Genetic diversity in Eastern U.S. soft winter wheat (Triticum aestivum L. em. Thell.) based on RFLPs and coefficients of parentage. Theoretical and Applied Genetics 94, 472–479.
| Crossref | GoogleScholarGoogle Scholar |
Kim HS, Ward RW
(2000) Patterns of RFLP based genetic diversity in germplasm pools of common wheat with different geographical or breeding program origins. Euphytica 115, 197–208.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Kolmer JA,
Singh RP,
Garvin DF,
Viccars L,
William HM,
Huerta-Espino J,
Ogbonnaya FC,
Raman H,
Orford S,
Bariana HS, Lagudah ES
(2008) Analysis of the Lr34/Yr18 rust resistance region in wheat germplasm. Crop Science 48, 1841–1852.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Lubbers EL,
Gill KS,
Cox TS, Gill BS
(1991) Variation of molecular markers among geographically diverse accessions of Triticum tauschii. Genome 34, 354–361.
Lynch M, Milligan BG
(1994) Analysis of population genetic structure with RAPD markers. Molecular Ecology 3, 91–99.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Nable RO
(1988) Resistance to boron toxicity amongst several barley and wheat cultivars: a preliminary examination of the resistance mechanism. Plant and Soil 112, 45–52.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Nagaoka T, Ogihara Y
(1997) Applicability of inter simple sequence repeat polymorphisms in wheat for use as DNA markers in comparison to RFLP and RAPD markers. Theoretical and Applied Genetics 94, 597–602.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Nakamura T,
Yamamori M,
Hirano H,
Hidaka S, Nagamine T
(1995) Production of waxy (amylose-free) wheats. Molecular & General Genetics 248, 253–259.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Nei M
(1973) Analysis of genetic diversity in subdivided populations. Proceedings of the National Academy of Sciences of the United States of America 70, 3321–3323.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Ovesná J,
Poláková K, Leišová L
(2002) DNA analyses and their applications in plant breeding. Czech Journal of Genetics and Plant Breeding 38, 29–40.
Paull JG,
Chalmers KJ,
Karakousis A,
Kretschmer JM,
Manning S, Langridge P
(1998) Genetic diversity in Australian wheat varieties and breeding material based on RFLP data. Theoretical and Applied Genetics 96, 435–446.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Plaschke J,
Ganal MW, Röder MS
(1995) Detection of genetic diversity in closely related bread wheat using microsatellite markers. Theoretical and Applied Genetics 91, 1001–1007.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Pritchard JK,
Matthew S, Donnelly P
(2000) Inference of population structure using multilocus genotype data. Genetics 155, 945–959.
|
CAS |
PubMed |
Raman H,
Moroni JS,
Sato K,
Read BJ, Scott BJ
(2002) Identification of AFLP and microsatellite markers linked with an aluminium tolerance gene in barley (Hordeum vulgare L.). Theoretical and Applied Genetics 105, 458–464.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Raman H,
Ryan PR,
Raman R,
Stodart BJ,
Zhang K,
Martin P,
Wood R,
Sasaki T,
Yamamoto Y,
Mackay M,
Hebb DM, Delhaize E
(2008) Analysis of TaALMT1 traces the transmission of aluminum resistance in cultivated common wheat (Triticum aestivum L.). Theoretical and Applied Genetics 116, 343–354.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Raman H,
Zhang K,
Cakir M,
Appels R,
Garvin DF,
Maron LG,
Kochian LV,
Moroni JS,
Raman R,
Imtiaz M,
Drake-Brockman F,
Waters I,
Martin P,
Sasaki T,
Yamamoto Y,
Matsumoto H,
Hebb DM,
Delhaize E, Ryan PR
(2005) Molecular mapping and characterization of ALMT1, the aluminium-tolerance gene of bread wheat (Triticum aestivum L.). Genome 48, 781–791.
|
CAS |
PubMed |
Reif JC,
Zhang P,
Dreisigacker S,
Warburton ML,
van Ginkel M,
Hoisington D,
Bohn M, Melchinger AE
(2005) Wheat genetic diversity trends during domestication and breeding. Theoretical and Applied Genetics 110, 859–864.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Röder MS,
Wendehake K,
Korzum V,
Bredemeijer G,
Laborie D,
Bertrand L,
Isaac P,
Rendell S,
Jackson J,
Cooke RJ,
Vosman B, Ganal MW
(2002) Construction and analysis of a microsatellite-based database of European wheat varieties. Theoretical and Applied Genetics 106, 67–73.
| PubMed |
Sasaki T,
Ryan PR,
Delhaize E,
Hebb DM,
Ogihara Y,
Noda K,
Matsumoto H, Yamamoto Y
(2006) Analysis of the sequence upstream of the wheat (Triticum aestivum L.) ALMT1 gene and its relationship to aluminium tolerance. Plant & Cell Physiology 47, 1343–1354.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Sasaki T,
Yamamoto Y,
Ezaki B,
Katsuhara M,
Ahn SJ,
Ryan PR,
Delhaize E, Matsumoto H
(2004) A wheat gene encoding an aluminum-activated malate transporter. The Plant Journal 37, 645–653.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Soleimani VD,
Baum BR, Johnson DA
(2002) AFLP and pedigree-based genetic diversity estimates in modern cultivars of durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.). Theoretical and Applied Genetics 104, 350–357.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Stodart B,
Mackay M, Raman H
(2005) AFLP and SSR markers indicate extensive allelic diversity in landraces of hexaploid wheat (Triticum aestivum L.em.Thell.) in the Australian Winter Cereals Collection. Australian Journal of Agricultural Research 56, 691–697.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Stodart BJ,
Mackay MC, Raman H
(2007a) Assessment of molecular diversity in landraces of bread wheat (Triticum aestivum L.) held in an ex situ collection with Diversity Array Technology (DArT™). Australian Journal of Agricultural Research 58, 1174–1182.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Stodart BJ,
Raman H,
Coombes N, Mackay M
(2007b) Evaluating landraces of bread wheat for tolerance to aluminium under low pH. Genetic Resources and Crop Evolution 54, 759–766.
| Crossref | GoogleScholarGoogle Scholar |
Tanksley SD, McCouch SR
(1997) Seed banks and molecular map: unlocking genetic potential from the wild. Science 277, 1063–1066.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Thornsberry JM,
Goodman MM,
Doebley J,
Stephen K,
Nielsen D, Buckler ES
(2001) Dwarf8 polymorphisms associate with variation in flowering time. Nature Genetics 28, 286–289.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Van Becelaere G,
Lubbers EL,
Paterson AH, Chee PW
(2005) Pedigree- vs. DNA marker-based genetic similarity estimates in cotton. Crop Science 45, 2281–2287.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
van Cutsem P,
du Jardin P,
Boutte C,
Beauwens T,
Jacqmin S, Vekemans X
(2003) Distinction between cultivated and wild chicory gene pools using AFLP markers. Theoretical and Applied Genetics 107, 713–718.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Vavilov N
(1926) Studies on the origin of cultivated plants. Bulletin of Applied Botany and Plant Breeding (Leningrad) 16, 1–248.
Weir BS, Cockerham CC
(1984) Estimating F-statistics for the analysis of population structure. Evolution 38, 1358–1370.
| Crossref | GoogleScholarGoogle Scholar |
Wenguang C,
Hucl P,
Scoles G, Chibbar RN
(1998) Genetic diversity within spelta and macha wheats based on RAPD analysis. Euphytica 104, 181–189.
| Crossref | GoogleScholarGoogle Scholar |
White J,
Law JR,
Mackay I,
Chalmers KJ,
Smith JSC,
Kilian A, Powell W
(2008) The genetic diversity of UK, US and Australian cultivars of Triticum aestivum measured by DArT markers and considered by genome. Theoretical and Applied Genetics 116, 439–453.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Worland AJ
(1986) Gibberellic acid insensitive dwarfing genes in southern European wheats. Euphytica 35, 857–866.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Yu J, Buckler ES
(2006) Genetic association mapping and genome organization of maize. Current Opinion in Biotechnology 17, 155–160.
|
CAS |
PubMed |