Development of single nucleotide polymorphism markers in the large and complex rubber tree genome using next-generation sequence data |
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Authors: | Livia?Moura?de?Souza Guilherme?Toledo-Silva Claudio?Benicio?Cardoso-Silva Carla?Cristina?da?Silva Isabela?Aparecida?de Araujo?Andreotti Andre?Ricardo?Oliveira?Conson Camila?Campos?Mantello Vincent?Le?Guen Email author" target="_blank">Anete?Pereira?de?SouzaEmail author |
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Institution: | 1.Molecular Biology and Genetic Engineering Center (CBMEG),University of Campinas (UNICAMP),Campinas,Brazil;2.Department of Biochemistry,Federal University of Santa Catarina,Florianópolis,Brazil;3.UMR AGAP,Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD),Montpellier,France;4.Department of Plant Biology, Biology Institute,University of Campinas (UNICAMP),Campinas,Brazil |
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Abstract: | The development of single nucleotide polymorphism (SNP) markers provides the opportunity to improve many areas of plant breeding and population genetics. Unfortunately, for species such as the rubber tree (Hevea brasiliensis), the use of next-generation sequencing for genomic SNP discovery is very difficult because of the large genome size and the abundance of repeated sequences. Access to a set of validated SNP markers is a significant advantage for rubber researchers who wish to apply SNPs in scientific research. Here, we performed genomic sequencing of H. brasiliensis and generated 10,993,648 short reads, which were assembled into 10,071 contigs (N50 = 3078) by a de novo assembly strategy. A total of 2446 contigs presented no hits in the current H. brasiliensis genome assembly and may therefore be considered novel genomic sequences of rubber tree. A total of 143 putative polymorphic positions were selected, gene annotations were available for 58.7 % of the markers, and all of the sequences could be anchored to the released H. brasiliensis genome. These SNPs were validated in eight genotypes of H. brasiliensis and 15 F1 plants from a mapping population, resulting in 30 (20.9 %) positions correctly classified. The analysis revealed key candidate genes responsible for defence mechanisms and provided markers for further genetic improvement of Hevea in breeding programmes. |
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