‘Forrest’ Resistance to the Soybean Cyst Nematode Is Bigenic: Saturation Mapping of the Rhg1 and Rhg4 Loci
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Citations
Plant Receptor-Like Serine Threonine Kinases: Roles in Signaling and Plant Defense
A Decade of QTL Mapping for Cyst Nematode Resistance in Soybean
Map-Based Cloning of the Gene Associated With the Soybean Maturity Locus E3
A soybean cyst nematode resistance gene points to a new mechanism of plant resistance to pathogens
Nematode resistance in plants: the battle underground
References
AFLP: a new technique for DNA fingerprinting.
MAPMAKER: An interactive computer package for constructing primary genetic linkage maps of experimental and natural populations
Mapping mendelian factors underlying quantitative traits using rflp linkage maps
Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.
Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines.
Related Papers (5)
A Decade of QTL Mapping for Cyst Nematode Resistance in Soybean
Frequently Asked Questions (13)
Q2. What was used to construct a genetic linkage map?
A population of 100 F5 derived recombinant inbred lines (RILs) from the cross ‘Essex’ (Smith and Camper 1973) × ‘Forrest’ (Hartwig and Epps 1973) was used to construct a genetic linkage map.
Q3. What is the implication of the study?
The implication in breeding cultivars for resistance to SCN is that lines selected solely based on the SCN resistance phenotype in early generations are likely to segregate for susceptible plants in later generations due to heterozygous loci.
Q4. What was used for AFLP and microsatellite analysis?
Soybean genomic DNA used for AFLP and microsatellite analysis was extracted and purified using the Qiagen Plant Easy DNA Extraction Kit (Qiagen, Hilden, Germany).
Q5. What is the phenotypic effect of bulked segregant analysis?
Since the sensitivity of the bulked segregant analysis is limited by the length of the target region (Michelmore et al. 1991), lines carrying a recombination event were included in the pools in order to increased the probability of finding more markers close to the targeted loci.
Q6. What was the recombinant allele for the Essex allele?
To detect genomic regions associated with SCN resistance, the recombinant inbred lines were classified as a Forrest (B) allele or an Essex (A) allele for each marker.
Q7. How many AFLP markers are used in soybean genetic mapping?
Microsatellite genotyping is slow compared to AFLP; the number of loci detected with one AFLP primer combination is 30-fold higher than by one SSR primer set.
Q8. How can the authors estimate the likely positions of QTLs?
Using methods of QTL analysis that can simultaneously account for multiple QTLs (Knapp and Bridges 1990) it is possible to create a model that contains parameters for multiple QTLs and simultaneously estimate the most-likely positions of QTLs within two or more intervals (Knott and Haley 1992).
Q9. How did the interval explain the variation in the SCN FI?
The interval had a peak LOD score of 5.2 and explained about 26% of the total variation in the SCN FI (table 2) in the E × F recombinant inbred line population.
Q10. What was the significance of the interaction between the two loci?
Interaction among loci contributing to SCN resistance in the RILs A two-way analysis of variance detected a significant interaction (P < 0.005) among the two loci contributing most strongly to SCN resistance in this population (table 5).
Q11. What was the AFLP marker associated with resistance to SCN?
The AFLP marker ECCGMAAC417 was strongly associated with resistance to SCN (P = 0.0001, R2 = 26.2) and derived the beneficial allele from Forrest (table 2).
Q12. How many markers were linked to the SCN locus on A2?
Seven markers were linked to the SCN locus on A2, six were derived from co-dominant markers that provided three markers in coupling (fig. 2).
Q13. What was the probability of association of each marker with the trait?
The probability of association of each marker with the trait was determined and a significant association was declared if P < 0.005, to maximize the detection of associations (Lander and Botstein 1989).