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Development of sequence-specific PCR markers associated with a polygenic controlled trait for marker-assisted selection using a modified selective genotyping strategy: a case study on anthracnose disease resistance in white lupin (Lupinus albus L.)

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Abstract

Selection for anthracnose disease resistance is one of the top priorities in white lupin (Lupinus albus) breeding programs. A cross was made between a landrace P27174 (resistant to anthracnose) and a cultivar Kiev Mutant (susceptible). The progeny was advanced to F8 recombinant inbred lines (RILs). Disease tests on the RIL population from field trials over 2 years indicated that the disease resistance in P27174 was polygenic controlled. A modified selective genotyping strategy was applied in the development of molecular markers linked to quantitative loci conferring anthracnose diseases resistance. Eight individual plants representing high level of anthracnose resistance (HR), eight plants representing susceptibility (S), together with eight lines representing medium level of anthracnose resistance (MR), were subjected to DNA fingerprinting by Microsatellite-anchored Fragment Length Polymorphisms (MFLP). Six MFLP polymorphisms, which had the banding pattern matching the HR plants and the S plants, were identified as candidate markers linked to quantitative loci conferring anthracnose resistance. The six candidate MFLP markers were delineated into three groups based on their banding variation on the eight MR plants. One candidate MFLP marker each from the three groups was selected, cloned, sequenced, and converted into co-dominant, sequence-specific PCR markers. These three markers, designated as WANR1, WANR2 and WANR3, were tested on a segregating population containing 189 F8 RILs. The disease phenotyping data and the marker genotyping data on the F8 RILs were merged and analysed by the JMP software using the ‘fit-model’ function, which revealed that 71% of the phenotypic variation was controlled by genetic factors, while the other 29% of the phenotypic variation was due to environmental factors and environment × genotype interactions. On individual marker basis, marker WANR1 conditioned 39% of phenotypic variations of anthracnose resistance, followed by marker WANR2 with 8%, and WANR3 with 12%. Further analysis showed that WANR2 and WANR3 were on the same linkage group with a genetic distance of 15.3 cM. The combination of the two markers WANR1 and WANR3 explained 51% out from the 71% of the genetic controlled variations for disease resistance, indicating that the two QTLs working additively for anthracnose disease resistance. A simulation of marker-assisted selection on the F8 RIL population using the two markers WANR1 and WANR3 identified 42 out of the 189 RILs being homozygous for resistance-allele bands for both markers, and 41 of them showed disease severity below 3.0 on the 1 (highly resistant) to 5 (susceptible) scale. The two markers WANR1 and WANR3 have now been implemented for marker-assisted selection for anthracnose resistance in the L. albus breeding program in Australia.

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References

  • Adhikari KN, Buirchell BJ, Thomas GJ, Sweetingham MW, Yang H (2009) Identification of anthracnose resistance in Lupinus albus L. and its transfer from landraces to modern cultivars. Crop Pasture Sci 60:472–479

    Article  Google Scholar 

  • Ayoub M, Mather DE (2002) Effectiveness of selective genotyping for detection of quantitative trait loci: an analysis of grain and malt quality traits in three barley populations. Genome 45:1116–1124

    Article  CAS  PubMed  Google Scholar 

  • Bernachi D, Beck-Bunn T, Eshed Y, Lopez J, Petiard V, Uhig J, Zamir D, Tanksley S (1998) Advanced backcross QTL analysis in tomato. I. Identification of QTLs for traits of agronomic importance from Lycopersicon hirsutum. Theor Appl Genet 97:381–397

    Article  Google Scholar 

  • Campbell BT, Baenziger PS, Gill KS, Eskridge KM, Budak H, Erayman M, Dweikat I, Yen Y (2003) Identification of QTLs and environmental interactions associated with agronomic traits on chromosome 3A of wheat. Crop Sci 43:1493–1505

    CAS  Google Scholar 

  • Chin ECL, Senior ML, Smith JSC (1996) Maize simple repetitive DNA sequences: abundance and allele variation. Genome 39:866–873

    Article  CAS  PubMed  Google Scholar 

  • Eagles HA, Bariana HS, Ogbonnaya FC, Rebetzke GJ, Hollamby GJ, Henry RJ, Henschke PH, Carter M (2001) Implementation of markers in Australian wheat breeding. Aust J Agric Res 52:1349–1356

    Article  CAS  Google Scholar 

  • Echt CS, May-Marquardt P, Hseih M, Zahorchak R (1996) Characterisation of microsatellite markers in eastern white pine. Genome 39:1102–1108

    Article  CAS  PubMed  Google Scholar 

  • Foolad MR, Stoltz T, Dervinis C, Rodriguez RL, Jones RA (1997) Mapping QTLs conferring salt tolerance during germination in tomato by selective genotyping. Mol Breed 3:269–277

    Article  CAS  Google Scholar 

  • Gladstones JS (1970) Lupins as crop plants. Field Crop Abstr 23:123–148

    Google Scholar 

  • Gondran J, Bournoville R, Duthion C (1994) Identification of diseases, pests and physical constraints in white lupin. Institut National de la recherche Agronomique, Versailles 48 pp

    Google Scholar 

  • Guo RX, Sun DF, Tan ZN, Rong DF, Li CD (2006) Two recessive genes controlling thermophotoperiod-sensitive male sterility in wheat. Theor Appl Genet 112:1271–1276

    Article  CAS  PubMed  Google Scholar 

  • Hnetkovsky N, Chang SJC, Doubler TW, Gibson PT, Lightfoot DA (1996) Genetic mapping of loci underlying field resistance to soybean sudden death syndrome (SDS). Crop Sci 36:393–400

    Article  CAS  Google Scholar 

  • Knapp SJ, Bridges WC (1990) Using molecular markers to estimate quantitative trait locus parameters: power and genetic variances for unreplicated and replicated progeny. Genetics 126:769–777

    CAS  PubMed  Google Scholar 

  • Konieczny A, Ausubel FM (1993) A procedure for mapping Arabidopsis mutations using co-dominant ecotype specific PCR-based markers. Plant J 4:403–410

    Article  CAS  PubMed  Google Scholar 

  • Kosambi DD (1944) The estimation of map distance from recombination values. Ann Eugen 12:172–175

    Google Scholar 

  • Kurlovich BS (2002) Genetics of lupins. In: Kurlovich BS (ed) Lupins: geography, classification, genetic resources and breeding. Intan, St. Petersburg, Russia. ISBN 5-86741-034-X

  • Manly KF, Cudmore RH Jr, Meer JM (2001) MapManager QTX, cross-platform software for genetic mapping. Mamm Genome 12:930–932

    Article  CAS  PubMed  Google Scholar 

  • Navabi A, Mather DE, Bernier J, Spaner DM, Atlin GN (2009) QTL detection with bidirectional and unidirectional selective genotyping: marker-based and trait-based analyses. Theor Appl Genet 118:347–358

    Article  PubMed  Google Scholar 

  • Nirenberg HI, Feiler U, Hagedorn G (2002) Description of Colletotrichum lupini comb. Nov. in modern terms. Mycologia 94:307–320

    Article  Google Scholar 

  • Paulitz TC, Atlin G, Gray AB (1995) First report of Colletotrichum gloeosporioides on lupine in Canada. Plant Dis 79:319

    Google Scholar 

  • Phan HTT, Ellwood SR, Adhikari K, Nelson MN, Oliver RP (2007) The first genetic and comparative map of white lupin (Lupinus albus L.): identification of QTLs for anthracnose resistance and flowering time, and a locus for alkaloid content. DNA Res 14:59–70

    Article  CAS  PubMed  Google Scholar 

  • Sreenivasaprasad S, Mills PR, Brown AE (1994) Nucleotide sequence of the rDNA spacer 1 enables identification of isolates of Colletotrichum as C. acutatum. Mycol Res 98:186–188

    Article  CAS  Google Scholar 

  • Stratton DA (1998) Reaction norm function and QTL-environment interactions for flowering time in Arabidopsis thaliana. Heredity 81:144–155

    Article  PubMed  Google Scholar 

  • Thomas GJ, Sweetingham MW (2004) Cultivar and environment influence the development of lupin anthracnose caused by Colletotrichum lupini. Austral Pl Pathol 33:571–577

    Article  Google Scholar 

  • Vos P, Hogers R, Bleeker M, Reijans M, Lee T, Hornes M, Frijters A, Pot J, Peleman J, Kuiper M, Zabeau M (1995) AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res 23:4407–4414

    Article  CAS  PubMed  Google Scholar 

  • Winghernuehle W, Gustus C, Smith K (2004) Exploiting selective genotyping to study genetic diversity of resistance Fusarium head blight in barley. Theor Appl Genet 109:1160–1168

    Article  CAS  Google Scholar 

  • Witsenboer H, Vogel J, Michelmore RW (1997) Identification, genetic localization, and allelic diversity of selectively amplified microsatellite polymorphic loci in lettuce and wild relatives (Lactuca spp.). Genome 40:923–936

    Article  CAS  PubMed  Google Scholar 

  • Wu R (1996) Quantitative genetic dissection of complex traits. Theor Appl Genet 93:447–457

    Article  CAS  Google Scholar 

  • Yang H, Sweetingham MW (1998) The taxonomy of Colletotrichum isolates associated with lupin anthracnose. Austral J Agric Res 49:1213–1223

    Article  Google Scholar 

  • Yang H, Sweetingham MW, Cowling WA, Smith PMC (2001) DNA fingerprinting based on microsatellite-anchored fragment length polymorphisms, and isolation of sequence-specific PCR markers in lupin (Lupinus angustifolius L.). Mol Breed 7:203–209

    Article  Google Scholar 

  • Yang H, Shankar M, Buirchell BJ, Sweetingham MW, Caminero C, Smith PMC (2002) Development of molecular markers using MFLP linked to a gene conferring resistance to Diaporthe toxica in narrow-leafed lupin (Lupinus angustifolius L.). Theor Appl Genet 105:265–270

    Article  CAS  PubMed  Google Scholar 

  • Yang H, Boersma JG, You M, Buirchell BJ, Sweetingham MW (2004) Development and implementation of a sequence-specific PCR marker linked to a gene conferring resistance to anthracnose disease in narrow-leafed lupin (Lupinus angustifolius L.). Mol Breed 14:145–151

    Article  CAS  Google Scholar 

  • Yang H, Renshaw D, Thomas G, Buirchell B, Sweetingham M (2008) A strategy to develop molecular markers applicable to a wide range of crosses for marker assisted selection in plant breeding: a case study on anthracnose disease resistance in lupin (Lupinus angustifolius L.). Mol Breed 21:473–483

    Article  CAS  Google Scholar 

  • You M, Boersma JG, Buirchell BJ, Sweetingham MW, Siddique KHM, Yang H (2005) A PCR-based molecular marker applicable for marker-assisted selection for anthracnose disease resistance in lupin breeding. Cell Mol Biol Lett 10:123–134

    CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This research was supported by the Grains Research and Development Corporation (GRDC), Australia. We thank Dr. Simon Ellwood for the help in making comparison of our marker results with the results reported in Phan et al. (2007).

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Correspondence to Huaan Yang.

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Yang, H., Lin, R., Renshaw, D. et al. Development of sequence-specific PCR markers associated with a polygenic controlled trait for marker-assisted selection using a modified selective genotyping strategy: a case study on anthracnose disease resistance in white lupin (Lupinus albus L.). Mol Breeding 25, 239–249 (2010). https://doi.org/10.1007/s11032-009-9325-4

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