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Simões ASB, Borges MM, Grazina L, Nunes J. Stone Pine ( Pinus pinea L.) High-Added-Value Genetics: An Overview. Genes (Basel) 2024; 15:84. [PMID: 38254973 PMCID: PMC10815827 DOI: 10.3390/genes15010084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Stone pine (Pinus pinea L.) has received limited attention in terms of genetic research. However, genomic techniques hold promise for decoding the stone pine genome and contributing to developing a more resilient bioeconomy. Retrotransposon and specific genetic markers are effective tools for determining population-specific genomic diversity. Studies on the transcriptome and proteome have identified differentially expressed genes PAS1, CLV1, ATAF1, and ACBF involved in shoot bud formation. The stone pine proteome shows variation among populations and shows the industrial potential of the enzyme pinosylvin. Microsatellite studies have revealed low levels of polymorphism and a unique genetic diversity in stone pine, which may contribute to its environmental adaptation. Transcriptomic and proteomic analyses uncover the genetic and molecular responses of stone pine to fungal infections and nematode infestations, elucidating the defense activation, gene regulation, and the potential role of terpenes in pathogen resistance. Transcriptomics associated with carbohydrate metabolism, dehydrins, and transcription factors show promise as targets for improving stone pine's drought stress response and water retention capabilities. Stone pine presents itself as an important model tree for studying climate change adaptation due to its characteristics. While knowledge gaps exist, stone pine's genetic resources hold significant potential, and ongoing advancements in techniques offer prospects for future exploration.
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Affiliation(s)
- Ana Sofia B. Simões
- Association BLC3–Technology and Innovation Campus, Centre Bio R&D Unit, Rua Nossa Senhora da Conceição 2, Lagares da Beira, 3405-155 Oliveira do Hospital, Portugal; (M.M.B.); (L.G.); (J.N.)
| | - Margarida Machado Borges
- Association BLC3–Technology and Innovation Campus, Centre Bio R&D Unit, Rua Nossa Senhora da Conceição 2, Lagares da Beira, 3405-155 Oliveira do Hospital, Portugal; (M.M.B.); (L.G.); (J.N.)
| | - Liliana Grazina
- Association BLC3–Technology and Innovation Campus, Centre Bio R&D Unit, Rua Nossa Senhora da Conceição 2, Lagares da Beira, 3405-155 Oliveira do Hospital, Portugal; (M.M.B.); (L.G.); (J.N.)
| | - João Nunes
- Association BLC3–Technology and Innovation Campus, Centre Bio R&D Unit, Rua Nossa Senhora da Conceição 2, Lagares da Beira, 3405-155 Oliveira do Hospital, Portugal; (M.M.B.); (L.G.); (J.N.)
- BLC3 Evolution Lda, 3405-155 Oliveira do Hospital, Portugal
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Freeman JS, Slavov GT, Butler JB, Frickey T, Graham NJ, Klápště J, Lee J, Telfer EJ, Wilcox P, Dungey HS. High density linkage maps, genetic architecture, and genomic prediction of growth and wood properties in Pinus radiata. BMC Genomics 2022; 23:731. [PMID: 36307760 PMCID: PMC9617409 DOI: 10.1186/s12864-022-08950-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 10/10/2022] [Indexed: 11/19/2022] Open
Abstract
Background The growing availability of genomic resources in radiata pine paves the way for significant advances in fundamental and applied genomic research. We constructed robust high-density linkage maps based on exome-capture genotyping in two F1 populations, and used these populations to perform quantitative trait locus (QTL) scans, genomic prediction and quantitative analyses of genetic architecture for key traits targeted by tree improvement programmes. Results Our mapping approach used probabilistic error correction of the marker data, followed by an iterative approach based on stringent parameters. This approach proved highly effective in producing high-density maps with robust marker orders and realistic map lengths (1285–4674 markers per map, with sizes ranging from c. 1643–2292 cM, and mean marker intervals of 0.7–2.1 cM). Colinearity was high between parental linkage maps, although there was evidence for a large chromosomal rearrangement (affecting ~ 90 cM) in one of the parental maps. In total, 28 QTL were detected for growth (stem diameter) and wood properties (wood density and fibre properties measured by Silviscan) in the QTL discovery population, with 1–3 QTL of small to moderate effect size detected per trait in each parental map. Four of these QTL were validated in a second, unrelated F1 population. Results from genomic prediction and analyses of genetic architecture were consistent with those from QTL scans, with wood properties generally having moderate to high genomic heritabilities and predictive abilities, as well as somewhat less complex genetic architectures, compared to growth traits. Conclusions Despite the economic importance of radiata pine as a plantation forest tree, robust high-density linkage maps constructed from reproducible, sequence-anchored markers have not been published to date. The maps produced in this study will be a valuable resource for several applications, including the selection of marker panels for genomic prediction and anchoring a recently completed de novo whole genome assembly. We also provide the first map-based evidence for a large genomic rearrangement in radiata pine. Finally, results from our QTL scans, genomic prediction, and genetic architecture analyses are informative about the genomic basis of variation in important phenotypic traits. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08950-6.
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Tan B, Ingvarsson PK. Integrating genome-wide association mapping of additive and dominance genetic effects to improve genomic prediction accuracy in Eucalyptus. THE PLANT GENOME 2022; 15:e20208. [PMID: 35441826 DOI: 10.1002/tpg2.20208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/16/2022] [Indexed: 06/14/2023]
Abstract
Genome-wide association studies (GWAS) is a powerful and widely used approach to decipher the genetic control of complex traits. Still, a significant challenge for dissecting quantitative traits in forest trees is statistical power. This study uses a population consisting of 1,123 samples derived from two successive generations of crosses between Eucalyptus grandis (W. Hill) and E. urophylla (S.T. Blake). All samples have been phenotyped for growth and wood property traits and genotyped using the EuChip60K chip, yielding 37,832 informative single nucleotide polymorphisms (SNPs). We use multi-locus GWAS models to assess additive and dominance effects to identify markers associated with growth and wood property traits in the eucalypt hybrids. Additive and dominance association models identified 78 and 82 significant SNPs across all traits, respectively, which captured between 39 and 86% of the genomic-based heritability. We also used SNPs identified from the GWAS and SNPs using less stringent significance thresholds to evaluate predictive abilities in a genomic selection framework. Genomic selection models based on the top 1% SNPs captured a substantially greater proportion of the genetic variance of traits compared with when we used all SNPs for model training. The prediction ability of estimated breeding values improved significantly for all traits when using either the top 1% SNPs or SNPs identified using a relaxed p value threshold (p < 10-3 ). This study also highlights the added value of incorporating dominance effects for identifying genomic regions controlling growth traits in trees. Moreover, integrating GWAS results into genomic selection method provides enhanced power relative to discrete associations for identifying genomic variation potentially valuable for forest tree breeding.
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Affiliation(s)
- Biyue Tan
- Umeå Plant Science Centre, Dep. of Ecology and Environmental Science, Umeå Univ., Umeå, SE-90187, Sweden
- Stora Enso AB, Nacka, SE-131 04, Sweden
| | - Pär K Ingvarsson
- Linnean Centre for Plant Biology, Dep. of Plant Biology, Uppsala BioCenter, Swedish Univ. of Agricultural Sciences, Uppsala, SE-750 07, Sweden
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Hurel A, de Miguel M, Dutech C, Desprez‐Loustau M, Plomion C, Rodríguez‐Quilón I, Cyrille A, Guzman T, Alía R, González‐Martínez SC, Budde KB. Genetic basis of growth, spring phenology, and susceptibility to biotic stressors in maritime pine. Evol Appl 2021; 14:2750-2772. [PMID: 34950227 PMCID: PMC8674897 DOI: 10.1111/eva.13309] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 10/03/2021] [Indexed: 11/30/2022] Open
Abstract
Forest ecosystems are increasingly challenged by extreme events, for example, drought, storms, pest attacks, and fungal pathogen outbreaks, causing severe ecological and economic losses. Understanding the genetic basis of adaptive traits in tree species is of key importance to preserve forest ecosystems, as genetic variation in a trait (i.e., heritability) determines its potential for human-mediated or evolutionary change. Maritime pine (Pinus pinaster Aiton), a conifer widely distributed in southwestern Europe and northwestern Africa, grows under contrasted environmental conditions promoting local adaptation. Genetic variation at adaptive phenotypes, including height, spring phenology, and susceptibility to two fungal pathogens (Diplodia sapinea and Armillaria ostoyae) and an insect pest (Thaumetopoea pityocampa), was assessed in a range-wide clonal common garden of maritime pine. Broad-sense heritability was significant for height (0.219), spring phenology (0.165-0.310), and pathogen susceptibility (necrosis length caused by D. sapinea, 0.152; and by A. ostoyae, 0.021, measured on inoculated, excised branches under controlled conditions), but not for pine processionary moth incidence in the common garden. The correlations of trait variation among populations revealed contrasting trends for pathogen susceptibility to D. sapinea and A. ostoyae with respect to height. Taller trees showed longer necrosis length caused by D. sapinea while shorter trees were more affected by A. ostoyae. Moreover, maritime pine populations from areas with high summer temperatures and frequent droughts were less susceptible to D. sapinea but more susceptible to A. ostoyae. Finally, an association study using 4227 genome-wide SNPs revealed several loci significantly associated with each trait (range of 3-26), including a possibly disease-induced translation initiation factor, eIF-5, associated with needle discoloration caused by D. sapinea. This study provides important insights to develop genetic conservation and breeding strategies integrating species responses to biotic stressors.
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Affiliation(s)
- Agathe Hurel
- BIOGECO, INRAEUniversity of BordeauxCestasFrance
| | - Marina de Miguel
- BIOGECO, INRAEUniversity of BordeauxCestasFrance
- EGFV, INRAEUniversity of BordeauxVillenave‐d'OrnonFrance
| | - Cyril Dutech
- BIOGECO, INRAEUniversity of BordeauxCestasFrance
| | | | | | | | | | | | | | | | - Katharina B. Budde
- BIOGECO, INRAEUniversity of BordeauxCestasFrance
- Büsgen‐InstituteGeorg‐August University GöttingenGöttingenGermany
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Ahmar S, Ballesta P, Ali M, Mora-Poblete F. Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing. Int J Mol Sci 2021; 22:10583. [PMID: 34638922 PMCID: PMC8508745 DOI: 10.3390/ijms221910583] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 12/23/2022] Open
Abstract
Forest tree breeding efforts have focused mainly on improving traits of economic importance, selecting trees suited to new environments or generating trees that are more resilient to biotic and abiotic stressors. This review describes various methods of forest tree selection assisted by genomics and the main technological challenges and achievements in research at the genomic level. Due to the long rotation time of a forest plantation and the resulting long generation times necessary to complete a breeding cycle, the use of advanced techniques with traditional breeding have been necessary, allowing the use of more precise methods for determining the genetic architecture of traits of interest, such as genome-wide association studies (GWASs) and genomic selection (GS). In this sense, main factors that determine the accuracy of genomic prediction models are also addressed. In turn, the introduction of genome editing opens the door to new possibilities in forest trees and especially clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR/Cas9). It is a highly efficient and effective genome editing technique that has been used to effectively implement targetable changes at specific places in the genome of a forest tree. In this sense, forest trees still lack a transformation method and an inefficient number of genotypes for CRISPR/Cas9. This challenge could be addressed with the use of the newly developing technique GRF-GIF with speed breeding.
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Affiliation(s)
- Sunny Ahmar
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile;
| | - Paulina Ballesta
- The National Fund for Scientific and Technological Development, Av. del Agua 3895, Talca 3460000, Chile
| | - Mohsin Ali
- Department of Forestry and Range Management, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan;
| | - Freddy Mora-Poblete
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile;
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Adoption and Optimization of Genomic Selection To Sustain Breeding for Apricot Fruit Quality. G3-GENES GENOMES GENETICS 2020; 10:4513-4529. [PMID: 33067307 PMCID: PMC7718743 DOI: 10.1534/g3.120.401452] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Genomic selection (GS) is a breeding approach which exploits genome-wide information and whose unprecedented success has shaped several animal and plant breeding schemes through delivering their genetic progress. This is the first study assessing the potential of GS in apricot (Prunus armeniaca) to enhance postharvest fruit quality attributes. Genomic predictions were based on a F1 pseudo-testcross population, comprising 153 individuals with contrasting fruit quality traits. They were phenotyped for physical and biochemical fruit metrics in contrasting climatic conditions over two years. Prediction accuracy (PA) varied from 0.31 for glucose content with the Bayesian LASSO (BL) to 0.78 for ethylene production with RR-BLUP, which yielded the most accurate predictions in comparison to Bayesian models and only 10% out of 61,030 SNPs were sufficient to reach accurate predictions. Useful insights were provided on the genetic architecture of apricot fruit quality whose integration in prediction models improved their performance, notably for traits governed by major QTL. Furthermore, multivariate modeling yielded promising outcomes in terms of PA within training partitions partially phenotyped for target traits. This provides a useful framework for the implementation of indirect selection based on easy-to-measure traits. Thus, we highlighted the main levers to take into account for the implementation of GS for fruit quality in apricot, but also to improve the genetic gain in perennial species.
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Maldonado C, Mora-Poblete F, Contreras-Soto RI, Ahmar S, Chen JT, do Amaral Júnior AT, Scapim CA. Genome-Wide Prediction of Complex Traits in Two Outcrossing Plant Species Through Deep Learning and Bayesian Regularized Neural Network. FRONTIERS IN PLANT SCIENCE 2020; 11:593897. [PMID: 33329658 PMCID: PMC7728740 DOI: 10.3389/fpls.2020.593897] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 10/27/2020] [Indexed: 05/25/2023]
Abstract
Genomic selection models were investigated to predict several complex traits in breeding populations of Zea mays L. and Eucalyptus globulus Labill. For this, the following methods of Machine Learning (ML) were implemented: (i) Deep Learning (DL) and (ii) Bayesian Regularized Neural Network (BRNN) both in combination with different hyperparameters. These ML methods were also compared with Genomic Best Linear Unbiased Prediction (GBLUP) and different Bayesian regression models [Bayes A, Bayes B, Bayes Cπ, Bayesian Ridge Regression, Bayesian LASSO, and Reproducing Kernel Hilbert Space (RKHS)]. DL models, using Rectified Linear Units (as the activation function), had higher predictive ability values, which varied from 0.27 (pilodyn penetration of 6 years old eucalypt trees) to 0.78 (flowering-related traits of maize). Moreover, the larger mini-batch size (100%) had a significantly higher predictive ability for wood-related traits than the smaller mini-batch size (10%). On the other hand, in the BRNN method, the architectures of one and two layers that used only the pureline function showed better results of prediction, with values ranging from 0.21 (pilodyn penetration) to 0.71 (flowering traits). A significant increase in the prediction ability was observed for DL in comparison with other methods of genomic prediction (Bayesian alphabet models, GBLUP, RKHS, and BRNN). Another important finding was the usefulness of DL models (through an iterative algorithm) as an SNP detection strategy for genome-wide association studies. The results of this study confirm the importance of DL for genome-wide analyses and crop/tree improvement strategies, which holds promise for accelerating breeding progress.
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Affiliation(s)
- Carlos Maldonado
- Instituto de Ciencias Agroalimentarias, Animales y Ambientales, Universidad de O’ Higgins, San Fernando, Chile
| | | | - Rodrigo Iván Contreras-Soto
- Instituto de Ciencias Agroalimentarias, Animales y Ambientales, Universidad de O’ Higgins, San Fernando, Chile
| | - Sunny Ahmar
- Institute of Biological Sciences, University of Talca, Talca, Chile
- College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jen-Tsung Chen
- Department of Life Sciences, National University of Kaohsiung, Kaohsiung, Taiwan
| | - Antônio Teixeira do Amaral Júnior
- Laboratory de Melhoramento Genético Veget al., Universidade Estadual do Norte Fluminense Darcy Ribeiro/CCTA, Campos dos Goytacazes, Brazil
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Elfstrand M, Baison J, Lundén K, Zhou L, Vos I, Capador HD, Åslund MS, Chen Z, Chaudhary R, Olson Å, Wu HX, Karlsson B, Stenlid J, García-Gil MR. Association genetics identifies a specifically regulated Norway spruce laccase gene, PaLAC5, linked to Heterobasidion parviporum resistance. PLANT, CELL & ENVIRONMENT 2020; 43:1779-1791. [PMID: 32276288 DOI: 10.1111/pce.13768] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 03/21/2020] [Accepted: 03/28/2020] [Indexed: 06/11/2023]
Abstract
It is important to improve the understanding of the interactions between the trees and pathogens and integrate this knowledge about disease resistance into tree breeding programs. The conifer Norway spruce (Picea abies) is an important species for the forest industry in Europe. Its major pathogen is Heterobasidion parviporum, causing stem and root rot. In this study, we identified 11 Norway spruce QTLs (Quantitative trait loci) that correlate with variation in resistance to H. parviporum in a population of 466 trees by association genetics. Individual QTLs explained between 2.1 and 5.2% of the phenotypic variance. The expression of candidate genes associated with the QTLs was analysed in silico and in response to H. parviporum hypothesizing that (a) candidate genes linked to control of fungal sapwood growth are more commonly expressed in sapwood, and; (b) candidate genes associated with induced defences are respond to H. parviporum inoculation. The Norway spruce laccase PaLAC5 associated with control of lesion length development is likely to be involved in the induced defences. Expression analyses showed that PaLAC5 responds specifically and strongly in close proximity to the H. parviporum inoculation. Thus, PaLAC5 may be associated with the lignosuberized boundary zone formation in bark adjacent to the inoculation site.
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Affiliation(s)
- Malin Elfstrand
- Uppsala Biocentre, Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - John Baison
- Umeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Karl Lundén
- Uppsala Biocentre, Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Linghua Zhou
- Umeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden
| | | | - Hernan Dario Capador
- Uppsala Biocentre, Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Matilda Stein Åslund
- Uppsala Biocentre, Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Zhiqiang Chen
- Umeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Rajiv Chaudhary
- Uppsala Biocentre, Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Åke Olson
- Uppsala Biocentre, Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Harry X Wu
- Umeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden
| | | | - Jan Stenlid
- Uppsala Biocentre, Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - María Rosario García-Gil
- Umeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden
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Hirao T, Matsunaga K, Hirakawa H, Shirasawa K, Isoda K, Mishima K, Tamura M, Watanabe A. Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii). BMC PLANT BIOLOGY 2019; 19:424. [PMID: 31615405 PMCID: PMC6792208 DOI: 10.1186/s12870-019-2045-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 09/20/2019] [Indexed: 05/21/2023]
Abstract
BACKGROUND Pine wilt disease (PWD), which is caused by the pine wood nematode (PWN) Bursaphelenchus xylophilus, is currently the greatest threat to pine forests in Europe and East Asian countries including Japan. Constructing a detailed linkage map of DNA markers and identifying PWD resistance genes/loci lead to improved resistance in Pinus thunbergii, as well as other Pinus species that are also susceptible to PWD. RESULTS A total F1 mapping population of 188 individuals derived from a cross between the PWD-resistant P. thunbergii varieties 'Tanabe 54' (resistant rank 2 to PWD) and 'Tosashimizu 63' (resistant rank 4 to PWD) was inoculated with PWN, and was evaluated for disease symptoms. To perform linkage analysis for PWN resistance, a set of three maps was constructed; two parental maps generated using the integrated two-way pseudo-testcross method, and a consensus map with population-type cross-pollination. The linkage map of 'Tanabe 54' consisted of 167 loci, and covered 14 linkage groups (LGs), with a total genetic distance of 1214.6 cM. The linkage map of 'Tosashimizu 63' consisted of 252 loci, and covered 14 LGs, with a total genetic distance of 1422.1 cM. The integrated consensus map comprised 12 LGs with the basic chromosome number of P. thunbergii, and a total genetic distance of 1403.6 cM. Results from quantitative trait loci (QTL) analysis using phenotype data and linkage maps indicated that PWN resistance is controlled by a single dominant allele, which was derived from the 'Tanabe 54' female parent. This major QTL was located on linkage group 3 and was designated PWD1 for PINE WILT DISEASE 1. CONCLUSIONS The PWD1 locus is a major resistance QTL located on the Pinus consensus LG03 that acts in a dominant manner to confer pine wood nematode resistance. Information from the present study will be useful for P. thunbergii breeding programs to improve resistance to PWD, and also to help identify susceptibility genes in Pinus species.
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Affiliation(s)
- Tomonori Hirao
- Forest Bio-research Center, Forestry and Forest Products Research Institute, 3809-1 Ishi, Juo, Hitachi, Ibaraki 319-1301 Japan
| | - Koji Matsunaga
- Kyushu Regional Breeding Office, Forest Tree Breeding Center, Forestry and Forest Products Research Institute, 2320-5 Suya, Goshi, Kumamoto, 860-0081 Japan
| | - Hideki Hirakawa
- Department of Frontier Research, Kazusa DNA Research Institute, Chiba, 292-0818 Japan
| | - Kenta Shirasawa
- Department of Frontier Research, Kazusa DNA Research Institute, Chiba, 292-0818 Japan
| | - Keiya Isoda
- Forest Tree Breeding Center, Forestry and Forest Products Research Institute, 3809-1 Ishi, Juo, Hitachi, Ibaraki 319-1301 Japan
| | - Kentaro Mishima
- Forest Tree Breeding Center, Forestry and Forest Products Research Institute, 3809-1 Ishi, Juo, Hitachi, Ibaraki 319-1301 Japan
| | - Miho Tamura
- Department of Forest Environmental Sciences, Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581 Japan
| | - Atsushi Watanabe
- Department of Forest Environmental Sciences, Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581 Japan
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Ballesta P, Maldonado C, Pérez-Rodríguez P, Mora F. SNP and Haplotype-Based Genomic Selection of Quantitative Traits in Eucalyptus globulus. PLANTS 2019; 8:plants8090331. [PMID: 31492041 PMCID: PMC6783840 DOI: 10.3390/plants8090331] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 09/02/2019] [Accepted: 09/03/2019] [Indexed: 01/02/2023]
Abstract
Eucalyptus globulus (Labill.) is one of the most important cultivated eucalypts in temperate and subtropical regions and has been successfully subjected to intensive breeding. In this study, Bayesian genomic models that include the effects of haplotype and single nucleotide polymorphisms (SNP) were assessed to predict quantitative traits related to wood quality and tree growth in a 6-year-old breeding population. To this end, the following markers were considered: (a) ~14 K SNP markers (SNP), (b) ~3 K haplotypes (HAP), and (c) haplotypes and SNPs that were not assigned to a haplotype (HAP-SNP). Predictive ability values (PA) were dependent on the genomic prediction models and markers. On average, Bayesian ridge regression (BRR) and Bayes C had the highest PA for the majority of traits. Notably, genomic models that included the haplotype effect (either HAP or HAP-SNP) significantly increased the PA of low-heritability traits. For instance, BRR based on HAP had the highest PA (0.58) for stem straightness. Consistently, the heritability estimates from genomic models were higher than the pedigree-based estimates for these traits. The results provide additional perspectives for the implementation of genomic selection in Eucalyptus breeding programs, which could be especially beneficial for improving traits with low heritability.
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Affiliation(s)
- Paulina Ballesta
- Institute of Biological Sciences, University of Talca, 2 Norte 685, Talca 3460000, Chile.
| | - Carlos Maldonado
- Institute of Biological Sciences, University of Talca, 2 Norte 685, Talca 3460000, Chile.
| | - Paulino Pérez-Rodríguez
- Colegio de Postgraduados, Statistics and Computer Sciences, Montecillos, Edo. de México 56230, Mexico.
| | - Freddy Mora
- Institute of Biological Sciences, University of Talca, 2 Norte 685, Talca 3460000, Chile.
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Liu J, Sun Z, Mao X, Gerken H, Wang X, Yang W. Multiomics analysis reveals a distinct mechanism of oleaginousness in the emerging model alga Chromochloris zofingiensis. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 98:745-758. [PMID: 30828893 DOI: 10.1111/tpj.14270] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 12/24/2018] [Accepted: 01/28/2019] [Indexed: 05/03/2023]
Abstract
Chromochloris zofingiensis, featured due to its capability to simultaneously synthesize triacylglycerol (TAG) and astaxanthin, is emerging as a leading candidate alga for production uses. To better understand the oleaginous mechanism of this alga, we conducted a multiomics analysis by systematically integrating time-resolved transcriptomes, lipidomes and metabolomes in response to nitrogen deprivation. The data analysis unraveled the distinct mechanism of TAG accumulation, which involved coordinated stimulation of multiple biological processes including supply of energy and reductants, carbon reallocation from protein and starch, and 'pushing' and 'pulling' carbon to TAG synthesis. Unlike the model alga Chlamydomonas, de novo fatty acid synthesis in C. zofingiensis was promoted, together with enhanced turnover of both glycolipids and phospholipids, supporting the drastic need of acyls for TAG assembly. Moreover, genomewide analysis identified many key functional enzymes and transcription factors that had engineering potential for TAG modulation. Two genes encoding glycerol-3-phosphate acyltransferase (GPAT), the first committed enzyme for TAG assembly, were found in the C. zofingiensis genome; in vivo functional characterization revealed that extrachloroplastic GPAT instead of chloroplastic GPAT played a central role in TAG synthesis. These findings illuminate distinct oleaginousness mechanisms in C. zofingiensis and pave the way towards rational manipulation of this alga to becone an emerging model for trait improvements.
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Affiliation(s)
- Jin Liu
- Laboratory for Algae Biotechnology & Innovation, College of Engineering, Peking University, Beijing, 100871, China
| | - Zheng Sun
- International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China
| | - Xuemei Mao
- Laboratory for Algae Biotechnology & Innovation, College of Engineering, Peking University, Beijing, 100871, China
| | - Henri Gerken
- School of Sustainable Engineering and the Built Environment, Arizona State University Polytechnic campus, Mesa, AZ, 85212, USA
| | - Xiaofei Wang
- Laboratory for Algae Biotechnology & Innovation, College of Engineering, Peking University, Beijing, 100871, China
| | - Wenqiang Yang
- Photosynthesis Research Center, Key Laboratory of Photobiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
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12
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Calleja-Rodriguez A, Li Z, Hallingbäck HR, Sillanpää MJ, Wu HX, Abrahamsson S, García-Gil MR. Analysis of phenotypic- and Estimated Breeding Values (EBV) to dissect the genetic architecture of complex traits in a Scots pine three-generation pedigree design. J Theor Biol 2019; 462:283-292. [PMID: 30423305 DOI: 10.1016/j.jtbi.2018.11.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 10/17/2018] [Accepted: 11/09/2018] [Indexed: 11/28/2022]
Abstract
In forest tree breeding, family-based Quantitative Trait Loci (QTL) studies are valuable as methods to dissect the complexity of a trait and as a source of candidate genes. In the field of conifer research, our study contributes to the evaluation of phenotypic and predicted breeding values for the identification of QTL linked to complex traits in a three-generation pedigree population in Scots pine (Pinus sylvestris L.). A total of 11 470 open pollinated F2-progeny trees established at three different locations, were measured for growth and adaptive traits. Breeding values were predicted for their 360 mothers, originating from a single cross of two grand-parents. A multilevel LASSO association analysis was conducted to detect QTL using genotypes of the mothers with the corresponding phenotypes and Estimated Breeding Values (EBV). Different levels of genotype-by-environment (G × E) effects among sites at different years, were detected for survival and height. Moderate-to-low narrow sense heritabilities and EBV accuracies were found for all traits and all sites. We identified 18 AFLPs and 12 SNPs to be associated with QTL for one or more traits. 62 QTL were significant with percentages of variance explained ranging from 1.7 to 18.9%. In those cases where the same marker was associated to a phenotypic or an ebvQTL, the ebvQTL always explained higher proportion of the variance, maybe due to the more accurate nature of Estimated Breeding Values (EBV). Two SNP-QTL showed pleiotropic effects for traits related with hardiness, seed, cone and flower production. Furthermore, we detected several QTL with significant effects across multiple ages, which could be considered as strong candidate loci for early selection. The lack of reproducibility of some QTL detected across sites may be due to environmental heterogeneity reflected by the genotype- and QTL-by-environment effects.
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Affiliation(s)
- Ainhoa Calleja-Rodriguez
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden; Skogforsk, Box 3, Sävar SE-91821, Sweden
| | - Zitong Li
- Melbourne Integrative Genomics and School of Mathematics and Statistics, the University of Melbourne, Parkville, Victoria 3010, Australia; Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki FI-00014, Finland
| | - Henrik R Hallingbäck
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden; Department of Plant Biology, Uppsala BioCenter, Linnean Centre for Plant Biology, Swedish University of Agricultural Science, Uppsala SE-75007, Sweden
| | - Mikko J Sillanpää
- Department of Mathematical Sciences and Biocenter Oulu, University of Oulu, Oulu FI-90014, Finland
| | - Harry X Wu
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden
| | | | - Maria Rosario García-Gil
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden.
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13
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Müller BSF, de Almeida Filho JE, Lima BM, Garcia CC, Missiaggia A, Aguiar AM, Takahashi E, Kirst M, Gezan SA, Silva-Junior OB, Neves LG, Grattapaglia D. Independent and Joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations. THE NEW PHYTOLOGIST 2019; 221:818-833. [PMID: 30252143 DOI: 10.1111/nph.15449] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 08/13/2018] [Indexed: 05/18/2023]
Abstract
Genome-wide association studies (GWAS) in plants typically suffer from limited statistical power. An alternative to the logistical and cost challenge of increasing sample sizes is to gain power by meta-analysis using information from independent studies. We carried out GWAS for growth traits with six single-marker models and regional heritability mapping (RHM) in four Eucalyptus breeding populations independently and by Joint-GWAS, using gene and segment-based models, with data for 3373 individuals genotyped with a communal EUChip60KSNP platform. While single-single nucleotide polymorphism (SNP) GWAS hardly detected significant associations at high-stringency in each population, gene-based Joint-GWAS revealed nine genes significantly associated with tree height. Associations detected using single-SNP GWAS, RHM and Joint-GWAS set-based models explained on average 3-20% of the phenotypic variance. Whole-genome regression, conversely, captured 64-89% of the pedigree-based heritability in all populations. Several associations independently detected for the same SNPs in different populations provided unprecedented GWAS validation results in forest trees. Rare and common associations were discovered in eight genes involved in cell wall biosynthesis and lignification. With the increasing adoption of genomic prediction of complex phenotypes using shared SNPs and much larger tree breeding populations, Joint-GWAS approaches should provide increasing power to pinpoint discrete associations potentially useful toward tree breeding and molecular applications.
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Affiliation(s)
- Bárbara S F Müller
- Molecular Biology Program, Cell Biology Department, Biological Sciences Institute, University of Brasília, Campus Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
- EMBRAPA Genetic Resources and Biotechnology - EPqB, Brasília, DF, 70770-910, Brazil
| | - Janeo E de Almeida Filho
- Plant Breeding Laboratory, State University of North Fluminense "Darcy Ribeiro", Campos dos Goytacazes, RJ, 28013-602, Brazil
| | - Bruno M Lima
- FIBRIA S.A. Technology Center, Jacareí, SP, 12340-010, Brazil
| | - Carla C Garcia
- International Paper of Brazil, Rodovia SP 340 KM 171, Mogi Guaçu, SP, 13840-970, Brazil
| | | | | | - Elizabete Takahashi
- Celulose Nipo-Brasileira (CENIBRA) S.A., Belo Oriente, MG, 35196-000, Brazil
| | - Matias Kirst
- School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | - Salvador A Gezan
- School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | - Orzenil B Silva-Junior
- EMBRAPA Genetic Resources and Biotechnology - EPqB, Brasília, DF, 70770-910, Brazil
- Genomic Sciences and Biotechnology Program, SGAN, Catholic University of Brasília, 916 modulo B, Brasília, DF, 70790-160, Brazil
| | | | - Dario Grattapaglia
- Molecular Biology Program, Cell Biology Department, Biological Sciences Institute, University of Brasília, Campus Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
- EMBRAPA Genetic Resources and Biotechnology - EPqB, Brasília, DF, 70770-910, Brazil
- Genomic Sciences and Biotechnology Program, SGAN, Catholic University of Brasília, 916 modulo B, Brasília, DF, 70790-160, Brazil
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14
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Bali S, Robinson BR, Sathuvalli V, Bamberg J, Goyer A. Single Nucleotide Polymorphism (SNP) markers associated with high folate content in wild potato species. PLoS One 2018; 13:e0193415. [PMID: 29474475 PMCID: PMC5825101 DOI: 10.1371/journal.pone.0193415] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 02/09/2018] [Indexed: 11/23/2022] Open
Abstract
Micronutrient deficiency, also known as the hidden hunger, affects over two billion people worldwide. Potato is the third most consumed food crops in the world, and is therefore a fundamental element of food security for millions of people. Increasing the amount of micronutrients in food crop could help alleviate worldwide micronutrient malnutrition. In the present study, we report on the identification of single nucleotide polymorphism (SNP) markers associated with folate, an essential micronutrient in the human diet. A high folate diploid clone Fol 1.6 from the wild potato relative Solanum boliviense (PI 597736) was crossed with a low/medium folate diploid S. tuberosum clone USW4self#3. The resulting F1 progeny was intermated to generate an F2 population, and tubers from 94 F2 individuals were harvested for folate analysis and SNP genotyping using a SolCap 12K Potato SNP array. Folate content in the progeny ranged from 304 to 2,952 ng g-1 dry weight. 6,759 high quality SNPs containing 4,174 (62%) polymorphic and 2,585 (38%) monomorphic SNPs were used to investigate marker-trait association. Association analysis was performed using two different approaches: survey SNP-trait association (SSTA) and SNP-trait association (STA). A total of 497 significant SNPs were identified, 489 by SSTA analysis and 43 by STA analysis. Markers identified by SSTA were located on all twelve chromosomes while those identified by STA were confined to chromosomes 2, 4, and 6. Eighteen of the significant SNPs were located within or in close proximity to folate metabolism-related genes. Forty two SNPs were identical between SSTA and STA analyses. These SNPs have potential to be used in marker-assisted selection for breeding high folate potato varieties.
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Affiliation(s)
- Sapinder Bali
- Hermiston Agricultural Research and Extension Center, Oregon State University, Hermiston, OR, United States of America
| | - Bruce R. Robinson
- Hermiston Agricultural Research and Extension Center, Oregon State University, Hermiston, OR, United States of America
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR, United States of America
| | - Vidyasagar Sathuvalli
- Hermiston Agricultural Research and Extension Center, Oregon State University, Hermiston, OR, United States of America
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR, United States of America
| | - John Bamberg
- USDA/Agricultural Research Service, US Potato Genebank, Sturgeon Bay, WI, United States of America
| | - Aymeric Goyer
- Hermiston Agricultural Research and Extension Center, Oregon State University, Hermiston, OR, United States of America
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States of America
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15
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Lesur I, Alexandre H, Boury C, Chancerel E, Plomion C, Kremer A. Development of Target Sequence Capture and Estimation of Genomic Relatedness in a Mixed Oak Stand. FRONTIERS IN PLANT SCIENCE 2018; 9:996. [PMID: 30057586 PMCID: PMC6053538 DOI: 10.3389/fpls.2018.00996] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 06/19/2018] [Indexed: 05/19/2023]
Abstract
Anticipating the evolutionary responses of long-lived organisms, such as trees, to environmental changes, requires the assessment of genetic variation of adaptive traits in natural populations. To this end, high-density markers are needed to calculate genomic relatedness between individuals allowing to estimate the genetic variance of traits in wild populations. We designed a targeted capture-based, next-generation sequencing assay based on the highly heterozygous pedunculate oak (Quercus robur) reference genome, for the sequencing of 3 Mb of genic and intergenic regions. Using a mixed stand of 293 Q. robur and Q. petraea genotypes we successfully captured over 97% of the target sequences, corresponding to 0.39% of the oak genome, with sufficient depth (97×) for the detection of about 190,000 SNPs evenly spread over the targeted regions. We validated the technique by evaluating its reproducibility, and comparing the genomic relatedness of trees with their known pedigree relationship. We explored the use of the technique on other related species and highlighted the advantages and limitations of this approach. We found that 92.07% of target sequences in Q. suber and 70.36% of sequences in Fagus sylvatica were captured. We used this SNP resource to estimate genetic relatedness in the mixed oak stand. Mean pairwise genetic relatedness was low within each species with a few values exceeding 0.25 (half-sibs) or 0.5 (full-sibs). Finally, we applied the technique to a long-standing issue in population genetics of trees regarding the relationship between inbreeding and components of fitness. We found very weak signals for inbreeding depression for reproductive success and no signal for growth within both species.
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Affiliation(s)
- Isabelle Lesur
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
- HelixVenture, Mérignac, France
- *Correspondence: Isabelle Lesur,
| | - Hermine Alexandre
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
| | - Christophe Boury
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
| | - Emilie Chancerel
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
| | - Christophe Plomion
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
| | - Antoine Kremer
- INRA, UMR 1202, Biodiversité Gènes et Communautés, Université Bordeaux, Pessac, France
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16
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Müller BSF, Neves LG, de Almeida Filho JE, Resende MFR, Muñoz PR, Dos Santos PET, Filho EP, Kirst M, Grattapaglia D. Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. BMC Genomics 2017; 18:524. [PMID: 28693539 PMCID: PMC5504793 DOI: 10.1186/s12864-017-3920-2] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 07/03/2017] [Indexed: 02/05/2023] Open
Abstract
Background The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000–10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range historical linkage disequilibrium (LD) was likely captured for E. pellita. A GWAS identified only one significant association for volume growth in E. pellita, illustrating the fact that while genome-wide regression is able to account for large proportions of the heritability, very little or none of it is captured into significant associations using GWAS in breeding populations of the size evaluated in this study. Conclusions This study provides further experimental data supporting positive prospects of using genome-wide data to capture large proportions of trait heritability and predict growth traits in trees with accuracies equal or better than those attainable by phenotypic selection. Additionally, our results document the superiority of the whole-genome regression approach in accounting for large proportions of the heritability of complex traits such as growth in contrast to the limited value of the local GWAS approach toward breeding applications in forest trees. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3920-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bárbara S F Müller
- Cell Biology Department, Molecular Biology Program, Biological Sciences Institute, University of Brasília, Campus Darcy Ribeiro, Brasília, DF, 70910-900, Brazil.,EMBRAPA Genetic Resources and Biotechnology, Estação Parque Biológico, Brasília, DF, 70770-910, Brazil.,Forest Genomics Laboratory, School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | | | - Janeo E de Almeida Filho
- Forest Genomics Laboratory, School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | | | - Patricio R Muñoz
- Agronomy Department, University of Florida, Gainesville, FL, 32611, USA
| | | | | | - Matias Kirst
- Forest Genomics Laboratory, School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | - Dario Grattapaglia
- Cell Biology Department, Molecular Biology Program, Biological Sciences Institute, University of Brasília, Campus Darcy Ribeiro, Brasília, DF, 70910-900, Brazil. .,EMBRAPA Genetic Resources and Biotechnology, Estação Parque Biológico, Brasília, DF, 70770-910, Brazil.
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17
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Correction: Linkage and Association Mapping for Two Major Traits Used in the Maritime Pine Breeding Program: Height Growth and Stem Straightness. PLoS One 2017; 12:e0171439. [PMID: 28135319 PMCID: PMC5279804 DOI: 10.1371/journal.pone.0171439] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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