Logo image
Back
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.)
Journal article   Peer reviewed

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.)

H. Yang, R. Lin, D. Renshaw, C. Li, K. Adhikari, G. Thomas, B. Buirchell, M. Sweetingham and G. Yan
Molecular Breeding, Vol.25(2), pp.239-249
2010
DOI: https://doi.org/10.1007/s11032-009-9325-4
url
Link to Published Version *Subscription may be requiredView

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.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#13 Climate Action
#15 Life on Land

Source: InCites

Metrics

104 Record Views
28 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
3 Agriculture, Environment & Ecology
3.4 Crop Science
3.4.96 QTL
Web Of Science research areas
Agronomy
Genetics & Heredity
Horticulture
Plant Sciences
ESI research areas
Plant & Animal Science
Logo image