
doi: 10.1111/nph.13150
pmid: 25385325
Summary Genetic maps are key tools in genetic research as they constitute the framework for many applications, such as quantitative trait locus analysis, and support the assembly of genome sequences. The resequencing of the two parents of a cross between Eucalyptus urophylla and Eucalyptus grandis was used to design a single nucleotide polymorphism (SNP) array of 6000 markers evenly distributed along the E. grandis genome. The genotyping of 1025 offspring enabled the construction of two high‐resolution genetic maps containing 1832 and 1773 markers with an average marker interval of 0.45 and 0.5 cM for E. grandis and E. urophylla, respectively. The comparison between genetic maps and the reference genome highlighted 85% of collinear regions. A total of 43 noncollinear regions and 13 nonsynthetic regions were detected and corrected in the new genome assembly. This improved version contains 4943 scaffolds totalling 691.3 Mb of which 88.6% were captured by the 11 chromosomes. The mapping data were also used to investigate the effect of population size and number of markers on linkage mapping accuracy. This study provides the most reliable linkage maps for Eucalyptus and version 2.0 of the E. grandis genome.
carte génétique, http://aims.fao.org/aos/agrovoc/c_3707, http://aims.fao.org/aos/agrovoc/c_24002, [SDV]Life Sciences [q-bio], [MATH] Mathematics [math], 630, Ecological applications, F30 - Génétique et amélioration des plantes, polymorphisme génétique, dimension, locus des caractères quantitatifs, [MATH]Mathematics [math], http://aims.fao.org/aos/agrovoc/c_3224, http://aims.fao.org/aos/agrovoc/c_2693, Plant biology, Eucalyptus, Genome, http://aims.fao.org/aos/agrovoc/c_24030, http://aims.fao.org/aos/agrovoc/c_24031, http://aims.fao.org/aos/agrovoc/c_27583, Chromosome Mapping, Single Nucleotide, Biological Sciences, Physical Chromosome Mapping, [SDV] Life Sciences [q-bio], Climate change impacts and adaptation, http://aims.fao.org/aos/agrovoc/c_2283, genetic mapping, Sequence Analysis, Genome, Plant, http://aims.fao.org/aos/agrovoc/c_2683, Eucalyptus grandis, Genetic Markers, 570, Genotype, single nucleotide polymorphism (SNP) array, Plant Biology & Botany, marqueur génétique, [INFO] Computer Science [cs], Polymorphism, Single Nucleotide, Synteny, Genetics, [INFO]Computer Science [cs], http://aims.fao.org/aos/agrovoc/c_26492, Polymorphism, http://aims.fao.org/aos/agrovoc/c_37974, Agricultural and Veterinary Sciences, génome, Plant, DNA, Sequence Analysis, DNA, Eucalyptus urophylla, séquence nucléotidique, hybride, K10 - Production forestière, Sample Size, genome assembly, Generic health relevance, segregation distortion
carte génétique, http://aims.fao.org/aos/agrovoc/c_3707, http://aims.fao.org/aos/agrovoc/c_24002, [SDV]Life Sciences [q-bio], [MATH] Mathematics [math], 630, Ecological applications, F30 - Génétique et amélioration des plantes, polymorphisme génétique, dimension, locus des caractères quantitatifs, [MATH]Mathematics [math], http://aims.fao.org/aos/agrovoc/c_3224, http://aims.fao.org/aos/agrovoc/c_2693, Plant biology, Eucalyptus, Genome, http://aims.fao.org/aos/agrovoc/c_24030, http://aims.fao.org/aos/agrovoc/c_24031, http://aims.fao.org/aos/agrovoc/c_27583, Chromosome Mapping, Single Nucleotide, Biological Sciences, Physical Chromosome Mapping, [SDV] Life Sciences [q-bio], Climate change impacts and adaptation, http://aims.fao.org/aos/agrovoc/c_2283, genetic mapping, Sequence Analysis, Genome, Plant, http://aims.fao.org/aos/agrovoc/c_2683, Eucalyptus grandis, Genetic Markers, 570, Genotype, single nucleotide polymorphism (SNP) array, Plant Biology & Botany, marqueur génétique, [INFO] Computer Science [cs], Polymorphism, Single Nucleotide, Synteny, Genetics, [INFO]Computer Science [cs], http://aims.fao.org/aos/agrovoc/c_26492, Polymorphism, http://aims.fao.org/aos/agrovoc/c_37974, Agricultural and Veterinary Sciences, génome, Plant, DNA, Sequence Analysis, DNA, Eucalyptus urophylla, séquence nucléotidique, hybride, K10 - Production forestière, Sample Size, genome assembly, Generic health relevance, segregation distortion
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