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      Genome-wide association study identifies SNP markers and putative candidate genes for terpene traits important for Leptocybe invasa resistance in Eucalyptus grandis

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          Abstract

          Terpenes are an important group of plant specialized metabolites influencing, amongst other functions, defence mechanisms against pests. We used a genome-wide association study to identify single nucleotide polymorphism (SNP) markers and putative candidate genes for terpene traits. We tested 15,387 informative SNP markers derived from genotyping 416 Eucalyptus grandis individuals for association with 3 terpene traits, 1,8-cineole, γ-terpinene, and p-cymene. A multilocus mixed model analysis identified 21 SNP markers for 1,8-cineole on chromosomes 2, 4, 6, 7, 8, 9, 10, and 11, that individually explained 3.0%–8.4% and jointly 42.7% of the phenotypic variation. Association analysis of γ-terpinene found 32 significant SNP markers on chromosomes 1, 2, 4, 5, 6, 9, and 11, explaining 3.4–15.5% and jointly 54.5% of phenotypic variation. For p-cymene, 28 significant SNP markers were identified on chromosomes 1, 2, 3, 5, 6, 7, 10, and 11, explaining 3.4–16.1% of the phenotypic variation and jointly 46.9%. Our results show that variation underlying the 3 terpene traits is influenced by a few minor loci in combination with a few major effect loci, suggesting an oligogenic nature of the traits.

          Most cited references78

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          10 Years of GWAS Discovery: Biology, Function, and Translation.

          Application of the experimental design of genome-wide association studies (GWASs) is now 10 years old (young), and here we review the remarkable range of discoveries it has facilitated in population and complex-trait genetics, the biology of diseases, and translation toward new therapeutics. We predict the likely discoveries in the next 10 years, when GWASs will be based on millions of samples with array data imputed to a large fully sequenced reference panel and on hundreds of thousands of samples with whole-genome sequencing data.
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            An efficient multi-locus mixed model approach for genome-wide association studies in structured populations

            Population structure causes genome-wide linkage disequilibrium between unlinked loci, leading to statistical confounding in genome-wide association studies. Mixed models have been shown to handle the confounding effects of a diffuse background of large numbers of loci of small effect well, but do not always account for loci of larger effect. Here we propose a multi-locus mixed model as a general method for mapping complex traits in structured populations. Simulations suggest that our method outperforms existing methods, in terms of power as well as false discovery rate. We apply our method to human and Arabidopsis thaliana data, identifying novel associations in known candidates as well as evidence for allelic heterogeneity. We also demonstrate how a priori knowledge from an A. thaliana linkage mapping study can be integrated into our method using a Bayesian approach. Our implementation is computationally efficient, making the analysis of large datasets (n > 10000) practicable.
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              Network analysis of the MVA and MEP pathways for isoprenoid synthesis.

              Isoprenoid biosynthesis is essential for all living organisms, and isoprenoids are also of industrial and agricultural interest. All isoprenoids are derived from prenyl diphosphate (prenyl-PP) precursors. Unlike isoprenoid biosynthesis in other living organisms, prenyl-PP, as the precursor of all isoprenoids in plants, is synthesized by two independent pathways: the mevalonate (MVA) pathway in the cytoplasm and the 2-C-methyl-D-erythritol 4-phosphate (MEP) pathway in plastids. This review focuses on progress in our understanding of how the precursors for isoprenoid biosynthesis are synthesized in the two subcellular compartments, how the underlying pathway gene networks are organized and regulated, and how network perturbations impact each pathway and plant development. Because of the wealth of data on isoprenoid biosynthesis, we emphasize research in Arabidopsis thaliana and compare the synthesis of isoprenoid precursor molecules in this model plant with their synthesis in other prokaryotic and eukaryotic organisms.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                G3 (Bethesda)
                Genetics
                g3journal
                G3: Genes|Genomes|Genetics
                Oxford University Press
                2160-1836
                April 2022
                03 February 2022
                03 February 2022
                : 12
                : 4
                : jkac004
                Affiliations
                [1 ] Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria , Pretoria 0028, South Africa
                [2 ] College of Forest Resources and Environmental Science, Michigan Technological University , Houghton, MI 49931-1295, USA
                Author notes
                Corresponding author: Department of Biochemistry, Genetics and Microbiology, Natural and Agricultural Sciences Building, Room No. 6-31, Private Bag X20, University of Pretoria, Hatfield, Pretoria 0028, South Africa. Email: sanushka.naidoo@ 123456up.ac.za
                Author information
                https://orcid.org/0000-0003-0644-5003
                https://orcid.org/0000-0003-1491-3858
                https://orcid.org/0000-0002-0798-3324
                https://orcid.org/0000-0001-5620-5599
                Article
                jkac004
                10.1093/g3journal/jkac004
                8982386
                35134191
                73a682ad-ee06-4477-b9f4-9483d4cee989
                © The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 December 2021
                : 28 November 2021
                : 27 February 2022
                Page count
                Pages: 14
                Funding
                Funded by: Mondi South Africa, Forests Operations;
                Funded by: Department of Science and Innovation (DSI) and Technology Innovation Agency (TIA) of South Africa;
                Funded by: South African National Research Foundation (NRF);
                Award ID: UID105767
                Funded by: Incentive Funding for rated researchers;
                Award ID: UID95807
                Funded by: Forest Molecular Genetics (FMG) Programme at the University of Pretoria;
                Categories
                Investigation
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI01140
                AcademicSubjects/SCI00010
                AcademicSubjects/SCI00960

                Genetics
                eucalyptus grandis,leptocybe invasa,genome-wide association study,terpenes,single nucleotide polymorphism,multilocus mixed model,genomic prediction,genpred,shared data resource

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