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Linkage and association mapping for two major traits used in the maritime pine breeding program: height growth and stem straightness
- Source :
- Plos One 11 (11), 21 p.. (2016), PLoS ONE, PLoS ONE, 11(11), PLoS ONE, Public Library of Science, 2016, 11 (11), 21 p. ⟨10.1371/journal.pone.0165323⟩, PLoS ONE 11 (2016) 11, PLoS ONE, Vol 11, Iss 11, p e0165323 (2016)
- Publication Year :
- 2016
-
Abstract
- International audience; Background Increasing our understanding of the genetic architecture of complex traits, through analyses of genotype-phenotype associations and of the genes/polymorphisms accounting for trait variation, is crucial, to improve the integration of molecular markers into forest tree breeding. In this study, two full-sib families and one breeding population of maritime pine were used to identify quantitative trait loci (QTLs) for height growth and stem straightness, through linkage analysis (LA) and linkage disequilibrium (LD) mapping approaches. Results The populations used for LA consisted of two unrelated three-generation full-sib families (n = 197 and n = 477). These populations were assessed for height growth or stem straightness and genotyped for 248 and 217 markers, respectively. The population used for LD mapping consisted of 661 founders of the first and second generations of the breeding program. This population was phenotyped for the same traits and genotyped for 2,498 single-nucleotide polymorphism (SNP) markers corresponding to 1,652 gene loci. The gene-based reference genetic map of maritime pine was used to localize and compare the QTLs detected by the two approaches, for both traits. LA identified three QTLs for stem straightness and two QTLs for height growth. The LD study yielded seven significant associations (P ≤ 0.001): four for stem straightness and three for height growth. No colocalisation was found between QTLs identified by LA and SNPs detected by LD mapping for the same trait. Conclusions This study provides the first comparison of LA and LD mapping approaches in maritime pine, highlighting the complementary nature of these two approaches for deciphering the genetic architecture of two mandatory traits of the breeding program.
- Subjects :
- 0301 basic medicine
Linkage disequilibrium
Heredity
Genetic Linkage
[SDV]Life Sciences [q-bio]
lcsh:Medicine
Trees
analyse de liaison
Association mapping
lcsh:Science
Genetics
education.field_of_study
Multidisciplinary
pinus pinaster
qtl
Phylogenetic Analysis
Plants
PE&RC
Biometris
Plant Production Systems
architecture génétique
marqueur moléculaire
Research Article
Genotyping
Breeding program
DNA, Plant
Population
Quantitative Trait Loci
Quantitative trait locus
Biology
Research and Analysis Methods
Polymorphism, Single Nucleotide
03 medical and health sciences
Gene mapping
Life Science
education
Molecular Biology Techniques
Linkage Mapping
Molecular Biology
Genetic Association Studies
Molecular Biology Assays and Analysis Techniques
lcsh:R
Gene Mapping
Organisms
Correction
Biology and Life Sciences
15. Life on land
Pinus
Genetic architecture
Plant Breeding
030104 developmental biology
Genetic Loci
Plantaardige Productiesystemen
Tree breeding
lcsh:Q
Pines
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Database :
- OpenAIRE
- Journal :
- Plos One 11 (11), 21 p.. (2016), PLoS ONE, PLoS ONE, 11(11), PLoS ONE, Public Library of Science, 2016, 11 (11), 21 p. ⟨10.1371/journal.pone.0165323⟩, PLoS ONE 11 (2016) 11, PLoS ONE, Vol 11, Iss 11, p e0165323 (2016)
- Accession number :
- edsair.doi.dedup.....99bf734c3d00858bbd34817a4c7747c3
- Full Text :
- https://doi.org/10.1371/journal.pone.0165323⟩