SNP Array for Genetic Mapping in Maritime Pine
Author Information
Author(s): Chancerel Emilie, Lepoittevin Camille, Le Provost Grégoire, Lin Yao-Cheng, Jaramillo-Correa Juan Pablo, Eckert Andrew J, Wegrzyn Jill L, Zelenika Diana, Boland Anne, Frigerio Jean-Marc, Chaumeil Philippe, Garnier-Géré Pauline, Boury Christophe, Grivet Delphine, González-Martínez Santiago C, Rouzé Pierre, Van de Peer Yves, Neale David B, Cervera Maria T, Kremer Antoine, Plomion Christophe
Primary Institution: INRA, UMR1202 BIOGECO, F-33610 Cestas, France
Hypothesis
Can a highly-multiplexed SNP array be effectively used for genetic mapping in maritime pine?
Conclusion
The GoldenGate assay is effective for high-throughput SNP genotyping in maritime pine, enabling the creation of a consensus genetic map.
Supporting Evidence
- 394 SNPs were available for mapping.
- 287 SNPs were integrated with previously mapped markers.
- A consensus map comprising 357 SNPs from 292 different loci was generated.
Takeaway
Scientists created a special test to look at tiny differences in the genes of maritime pine trees, helping them understand how these trees grow and adapt.
Methodology
A custom GoldenGate assay was designed for 1,536 SNPs, genotyping two maritime pine mapping populations.
Potential Biases
Potential biases may arise from the reliance on specific SNP sources and the mapping populations used.
Limitations
The study's sample size may limit the generalizability of the findings.
Participant Demographics
The study involved two mapping populations: a three-generation outbred pedigree with 201 offspring and a three-generation inbred pedigree with 500 offspring.
Statistical Information
P-Value
2.77 × 10^-6
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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