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Aguirre NC, Villalba PV, García MN, Filippi CV, Rivas JG, Martínez MC, Acuña CV, López AJ, López JA, Pathauer P, Palazzini D, Harrand L, Oberschelp J, Marcó MA, Cisneros EF, Carreras R, Martins Alves AM, Rodrigues JC, Hopp HE, Grattapaglia D, Cappa EP, Paniego NB, Marcucci Poltri SN. Comparison of ddRADseq and EUChip60K SNP genotyping systems for population genetics and genomic selection in Eucalyptus dunnii (Maiden). Front Genet 2024; 15:1361418. [PMID: 38606359 PMCID: PMC11008695 DOI: 10.3389/fgene.2024.1361418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 02/19/2024] [Indexed: 04/13/2024] Open
Abstract
Eucalyptus dunnii is one of the most important Eucalyptus species for short-fiber pulp production in regions where other species of the genus are affected by poor soil and climatic conditions. In this context, E. dunnii holds promise as a resource to address and adapt to the challenges of climate change. Despite its rapid growth and favorable wood properties for solid wood products, the advancement of its improvement remains in its early stages. In this work, we evaluated the performance of two single nucleotide polymorphism, (SNP), genotyping methods for population genetics analysis and Genomic Selection in E. dunnii. Double digest restriction-site associated DNA sequencing (ddRADseq) was compared with the EUChip60K array in 308 individuals from a provenance-progeny trial. The compared SNP set included 8,011 and 19,008 informative SNPs distributed along the 11 chromosomes, respectively. Although the two datasets differed in the percentage of missing data, genome coverage, minor allele frequency and estimated genetic diversity parameters, they revealed a similar genetic structure, showing two subpopulations with little differentiation between them, and low linkage disequilibrium. GS analyses were performed for eleven traits using Genomic Best Linear Unbiased Prediction (GBLUP) and a conventional pedigree-based model (ABLUP). Regardless of the SNP dataset, the predictive ability (PA) of GBLUP was better than that of ABLUP for six traits (Cellulose content, Total and Ethanolic extractives, Total and Klason lignin content and Syringyl and Guaiacyl lignin monomer ratio). When contrasting the SNP datasets used to estimate PAs, the GBLUP-EUChip60K model gave higher and significant PA values for six traits, meanwhile, the values estimated using ddRADseq gave higher values for three other traits. The PAs correlated positively with narrow sense heritabilities, with the highest correlations shown by the ABLUP and GBLUP-EUChip60K. The two genotyping methods, ddRADseq and EUChip60K, are generally comparable for population genetics and genomic prediction, demonstrating the utility of the former when subjected to rigorous SNP filtering. The results of this study provide a basis for future whole-genome studies using ddRADseq in non-model forest species for which SNP arrays have not yet been developed.
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Affiliation(s)
| | | | - Martín Nahuel García
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Carla Valeria Filippi
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
- Laboratorio de Bioquímica, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Juan Gabriel Rivas
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - María Carolina Martínez
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Cintia Vanesa Acuña
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Augusto J. López
- Estación Experimental Agropecuaria de Bella Vista, Instituto Nacional de Tecnología Agropecuaria, Bella Vista, Argentina
| | - Juan Adolfo López
- Estación Experimental Agropecuaria de Bella Vista, Instituto Nacional de Tecnología Agropecuaria, Bella Vista, Argentina
| | - Pablo Pathauer
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
| | - Dino Palazzini
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
| | - Leonel Harrand
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Javier Oberschelp
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Martín Alberto Marcó
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Esteban Felipe Cisneros
- Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero (UNSE), Santiago del Estero, Argentina
| | - Rocío Carreras
- Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero (UNSE), Santiago del Estero, Argentina
| | - Ana Maria Martins Alves
- Centro de Estudos Florestais e Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal
| | - José Carlos Rodrigues
- Centro de Estudos Florestais e Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal
| | - H. Esteban Hopp
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Dario Grattapaglia
- Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Recursos Genéticos e Biotecnologia, Brasilia, Brazil
| | - Eduardo Pablo Cappa
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Norma Beatriz Paniego
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
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Cairns KM, Crowther MS, Parker HG, Ostrander EA, Letnic M. Genome-wide variant analyses reveal new patterns of admixture and population structure in Australian dingoes. Mol Ecol 2023; 32:4133-4150. [PMID: 37246949 PMCID: PMC10524503 DOI: 10.1111/mec.16998] [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: 10/10/2022] [Revised: 04/29/2023] [Accepted: 05/05/2023] [Indexed: 05/30/2023]
Abstract
Admixture between species is a cause for concern in wildlife management. Canids are particularly vulnerable to interspecific hybridisation, and genetic admixture has shaped their evolutionary history. Microsatellite DNA testing, relying on a small number of genetic markers and geographically restricted reference populations, has identified extensive domestic dog admixture in Australian dingoes and driven conservation management policy. But there exists a concern that geographic variation in dingo genotypes could confound ancestry analyses that use a small number of genetic markers. Here, we apply genome-wide single-nucleotide polymorphism (SNP) genotyping to a set of 402 wild and captive dingoes collected from across Australia and then carry out comparisons to domestic dogs. We then perform ancestry modelling and biogeographic analyses to characterise population structure in dingoes and investigate the extent of admixture between dingoes and dogs in different regions of the continent. We show that there are at least five distinct dingo populations across Australia. We observed limited evidence of dog admixture in wild dingoes. Our work challenges previous reports regarding the occurrence and extent of dog admixture in dingoes, as our ancestry analyses show that previous assessments severely overestimate the degree of domestic dog admixture in dingo populations, particularly in south-eastern Australia. These findings strongly support the use of genome-wide SNP genotyping as a refined method for wildlife managers and policymakers to assess and inform dingo management policy and legislation moving forwards.
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Affiliation(s)
- Kylie M. Cairns
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Mathew S. Crowther
- School of Life and Environmental Sciences, University of Sydney, New South Wales 2006, Australia
| | - Heidi G. Parker
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Elaine A. Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Mike Letnic
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
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Omondi SF, Githae EW, Khasa DP. Long-distance gene flow in Acacia senegal: Hope for disturbed and fragmented populations. Ecol Evol 2023; 13:e10292. [PMID: 37449018 PMCID: PMC10337015 DOI: 10.1002/ece3.10292] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 06/23/2023] [Accepted: 06/29/2023] [Indexed: 07/18/2023] Open
Abstract
Even though pollen and seed dispersals are some of the important factors that determine tree species survival across landscapes, gene dispersal data of important tropical dryland tree species such as Acacia senegal that are undergoing various population disturbances remain scarce. Understanding patterns of gene dispersal in these ecosystems is important for conservation, landscape restoration and tree improvement. We investigated pollen and seed mediated gene flow in two A. senegal populations of contrasting state (less disturbed and heavily undisturbed) using nine microsatellites and 128 genotyping-by-sequencing single nucleotide polymorphism (SNPs) multilocus genotypes of two growth stages (juvenile and adult trees) and their spatial locations. We performed parentage assignments using likelihood approach and undertook spatial genetic structure (SGS) analyses for the two growth stages through correlation among kinship coefficients and geographical distances between pair of individuals. The SNPs showed higher resolving power and assignment rates than microsatellites; however, a combination of the two marker-types improved the assignment rate and provided robust parentage assessments. We found evidence of long-distance (up to 210 m) pollination events for both populations; however, the majority of seed dispersal was found closer to the putative maternal parent. On average, parentage analysis showed high amounts of pollen (40%) and seed (20%) immigration in both populations. Significant positive SGS was found only for the adult cohorts in the less disturbed population for distance classes 20 and 40 m, indicating historical short-distance seed dispersals. Our results suggest long-distance gene flow within the species and we recommend conservation of remnant and isolated populations or individual trees to promote genetic connectivity.
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Affiliation(s)
- Stephen F. Omondi
- Department of Forest Genetics and Tree ImprovementKenya Forestry Research InstituteNairobiKenya
| | | | - Damase P. Khasa
- Centre for Forest Research and Institute for Systems and Integrative BiologyUniversité LavalSainte‐FoyQuébecCanada
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Wei Y, He S, Wang J, Fan P, He Y, Hu K, Chen Y, Zhou G, Zhong D, Zheng X. Genome-wide SNPs reveal novel patterns of spatial genetic structure in Aedes albopictus (Diptera Culicidae) population in China. Front Public Health 2022; 10:1028026. [PMID: 36438226 PMCID: PMC9685676 DOI: 10.3389/fpubh.2022.1028026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/28/2022] [Indexed: 11/11/2022] Open
Abstract
Introduction Since the second half of the 20th century, Aedes albopictus, a vector for more than 20 arboviruses, has spread worldwide. Aedes albopictus is the main vector of infectious diseases transmitted by Aedes mosquitoes in China, and it has caused concerns regarding public health. A comprehensive understanding of the spatial genetic structure of this vector species at a genomic level is essential for effective vector control and the prevention of vector-borne diseases. Methods During 2016-2018, adult female Ae. albopictus mosquitoes were collected from eight different geographical locations across China. Restriction site-associated DNA sequencing (RAD-seq) was used for high-throughput identification of single nucleotide polymorphisms (SNPs) and genotyping of the Ae. albopictus population. The spatial genetic structure was analyzed and compared to those exhibited by mitochondrial cytochrome c oxidase subunit 1 (cox1) and microsatellites in the Ae. albopictus population. Results A total of 9,103 genome-wide SNP loci in 101 specimens and 32 haplotypes of cox1 in 231 specimens were identified in the samples from eight locations in China. Principal component analysis revealed that samples from Lingshui and Zhanjiang were more genetically different than those from the other locations. The SNPs provided a better resolution and stronger signals for novel spatial population genetic structures than those from the cox1 data and a set of previously genotyped microsatellites. The fixation indexes from the SNP dataset showed shallow but significant genetic differentiation in the population. The Mantel test indicated a positive correlation between genetic distance and geographical distance. However, the asymmetric gene flow was detected among the populations, and it was higher from south to north and west to east than in the opposite directions. Conclusions The genome-wide SNPs revealed seven gene pools and fine spatial genetic structure of the Ae. albopictus population in China. The RAD-seq approach has great potential to increase our understanding of the spatial dynamics of population spread and establishment, which will help us to design new strategies for controlling vectors and mosquito-borne diseases.
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Affiliation(s)
- Yong Wei
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China,Clinical Laboratory, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Song He
- Clinical Laboratory, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China
| | - Jiatian Wang
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Peiyang Fan
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yulan He
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ke Hu
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yulan Chen
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Guofa Zhou
- Program in Public Health, College of Health Sciences, University of California, Irvine, Irvine, CA, United States
| | - Daibin Zhong
- Program in Public Health, College of Health Sciences, University of California, Irvine, Irvine, CA, United States
| | - Xueli Zheng
- Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, China,*Correspondence: Xueli Zheng
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Martins FB, Moraes ACL, Aono AH, Ferreira RCU, Chiari L, Simeão RM, Barrios SCL, Santos MF, Jank L, do Valle CB, Vigna BBZ, de Souza AP. A Semi-Automated SNP-Based Approach for Contaminant Identification in Biparental Polyploid Populations of Tropical Forage Grasses. FRONTIERS IN PLANT SCIENCE 2021; 12:737919. [PMID: 34745171 PMCID: PMC8569613 DOI: 10.3389/fpls.2021.737919] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/20/2021] [Indexed: 06/13/2023]
Abstract
Artificial hybridization plays a fundamental role in plant breeding programs since it generates new genotypic combinations that can result in desirable phenotypes. Depending on the species and mode of reproduction, controlled crosses may be challenging, and contaminating individuals can be introduced accidentally. In this context, the identification of such contaminants is important to avoid compromising further selection cycles, as well as genetic and genomic studies. The main objective of this work was to propose an automated multivariate methodology for the detection and classification of putative contaminants, including apomictic clones (ACs), self-fertilized individuals, half-siblings (HSs), and full contaminants (FCs), in biparental polyploid progenies of tropical forage grasses. We established a pipeline to identify contaminants in genotyping-by-sequencing (GBS) data encoded as allele dosages of single nucleotide polymorphism (SNP) markers by integrating principal component analysis (PCA), genotypic analysis (GA) measures based on Mendelian segregation, and clustering analysis (CA). The combination of these methods allowed for the correct identification of all contaminants in all simulated progenies and the detection of putative contaminants in three real progenies of tropical forage grasses, providing an easy and promising methodology for the identification of contaminants in biparental progenies of tetraploid and hexaploid species. The proposed pipeline was made available through the polyCID Shiny app and can be easily coupled with traditional genetic approaches, such as linkage map construction, thereby increasing the efficiency of breeding programs.
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Affiliation(s)
- Felipe Bitencourt Martins
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), São Paulo, Brazil
| | - Aline Costa Lima Moraes
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), São Paulo, Brazil
| | - Alexandre Hild Aono
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), São Paulo, Brazil
| | | | - Lucimara Chiari
- Embrapa Gado de Corte, Brazilian Agricultural Research Corporation, Campo Grande, Brazil
| | - Rosangela Maria Simeão
- Embrapa Gado de Corte, Brazilian Agricultural Research Corporation, Campo Grande, Brazil
| | | | | | - Liana Jank
- Embrapa Gado de Corte, Brazilian Agricultural Research Corporation, Campo Grande, Brazil
| | | | | | - Anete Pereira de Souza
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), São Paulo, Brazil
- Department of Plant Biology, Biology Institute, University of Campinas (UNICAMP), São Paulo, Brazil
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Pincot DDA, Ledda M, Feldmann MJ, Hardigan MA, Poorten TJ, Runcie DE, Heffelfinger C, Dellaporta SL, Cole GS, Knapp SJ. Social network analysis of the genealogy of strawberry: retracing the wild roots of heirloom and modern cultivars. G3-GENES GENOMES GENETICS 2021; 11:6117203. [PMID: 33772307 PMCID: PMC8022721 DOI: 10.1093/g3journal/jkab015] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 12/12/2020] [Indexed: 01/22/2023]
Abstract
The widely recounted story of the origin of cultivated strawberry (Fragaria × ananassa) oversimplifies the complex interspecific hybrid ancestry of the highly admixed populations from which heirloom and modern cultivars have emerged. To develop deeper insights into the three-century-long domestication history of strawberry, we reconstructed the genealogy as deeply as possible—pedigree records were assembled for 8,851 individuals, including 2,656 cultivars developed since 1775. The parents of individuals with unverified or missing pedigree records were accurately identified by applying an exclusion analysis to array-genotyped single-nucleotide polymorphisms. We identified 187 wild octoploid and 1,171 F. × ananassa founders in the genealogy, from the earliest hybrids to modern cultivars. The pedigree networks for cultivated strawberry are exceedingly complex labyrinths of ancestral interconnections formed by diverse hybrid ancestry, directional selection, migration, admixture, bottlenecks, overlapping generations, and recurrent hybridization with common ancestors that have unequally contributed allelic diversity to heirloom and modern cultivars. Fifteen to 333 ancestors were predicted to have transmitted 90% of the alleles found in country-, region-, and continent-specific populations. Using parent–offspring edges in the global pedigree network, we found that selection cycle lengths over the past 200 years of breeding have been extraordinarily long (16.0-16.9 years/generation), but decreased to a present-day range of 6.0-10.0 years/generation. Our analyses uncovered conspicuous differences in the ancestry and structure of North American and European populations, and shed light on forces that have shaped phenotypic diversity in F. × ananassa.
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Affiliation(s)
- Dominique D A Pincot
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
| | - Mirko Ledda
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
| | - Mitchell J Feldmann
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
| | - Michael A Hardigan
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
| | - Thomas J Poorten
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
| | - Daniel E Runcie
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
| | - Christopher Heffelfinger
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA
| | - Stephen L Dellaporta
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA
| | - Glenn S Cole
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
| | - Steven J Knapp
- Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
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Norman PE, Paterne AA, Danquah A, Tongoona PB, Danquah EY, De Koeyer D, Ikeogu UN, Asiedu R, Asfaw A. Paternity Assignment in White Guinea Yam ( Dioscorea Rotundata) Half-Sib Progenies from Polycross Mating Design Using SNP Markers. PLANTS 2020; 9:plants9040527. [PMID: 32325826 PMCID: PMC7238154 DOI: 10.3390/plants9040527] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 04/16/2020] [Accepted: 04/16/2020] [Indexed: 12/02/2022]
Abstract
White Guinea yam is mostly a dioecious outcrossing crop with male and female flowers produced on distinct plants. Fertile parents produce high fruit set in an open pollination polycross block, which is a cost-effective and convenient way of generating variability in yam breeding. However, the pollen parent of progeny from polycross mating is usually unknown. This study aimed to determine paternity in white Guinea yam half-sib progenies from polycross mating design. A total of 394 half-sib progenies from random open pollination involving nine female and three male parents was genotyped with 6602 SNP markers from DArTSeq platform to recover full pedigree. A higher proportion of expected heterozygosity, allelic richness, and evenness were observed in the half-sib progenies. A complete pedigree was established for all progenies from two families (TDr1685 and TDr1688) with 100% accuracy, while in the remaining families, paternity was assigned successfully only for 56 to 98% of the progenies. Our results indicated unequal paternal contribution under natural open pollination in yam, suggesting unequal pollen migrations or gene flow among the crossing parents. A total of 3.8% of progenies lacking paternal identity due to foreign pollen contamination outside the polycross block was observed. This study established the efficient determination of parental reconstruction and allelic contributions in the white Guinea yam half-sib progenies generated from open pollination polycross using SNP markers. Findings are useful for parental reconstruction, accurate dissection of the genetic effects, and selection in white Guinea yam breeding program utilizing polycross mating design.
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Affiliation(s)
- Prince E. Norman
- Sierra Leone Agricultural Research Institute, Tower Hill, Freetown PMB 1313, Sierra Leone
- International Institute of Tropical Agriculture, Ibadan PMB 5320, Nigeria; (A.A.P.); (R.A.); (A.A.)
- West Africa Centre for Crop Improvement, College of Basic and Applied Sciences, University of Ghana, Legon PMB LG 30, Ghana; (A.D.); (P.B.T.); (E.Y.D.)
- Correspondence: ; Tel.: +232-76-618-454
| | - Agre A. Paterne
- International Institute of Tropical Agriculture, Ibadan PMB 5320, Nigeria; (A.A.P.); (R.A.); (A.A.)
| | - Agyemang Danquah
- West Africa Centre for Crop Improvement, College of Basic and Applied Sciences, University of Ghana, Legon PMB LG 30, Ghana; (A.D.); (P.B.T.); (E.Y.D.)
| | - Pangirayi B. Tongoona
- West Africa Centre for Crop Improvement, College of Basic and Applied Sciences, University of Ghana, Legon PMB LG 30, Ghana; (A.D.); (P.B.T.); (E.Y.D.)
| | - Eric Y. Danquah
- West Africa Centre for Crop Improvement, College of Basic and Applied Sciences, University of Ghana, Legon PMB LG 30, Ghana; (A.D.); (P.B.T.); (E.Y.D.)
| | - David De Koeyer
- Fredericton Research and Development Centre, Agriculture and Agri-Food Canada, P.O. Box 20280, Fredericton, NB E3B 4Z7, Canada;
| | - Ugochukwu N. Ikeogu
- Integrative Plant Breeding, Cornell University, Ithaca, New York, NY 14850, USA
| | - Robert Asiedu
- International Institute of Tropical Agriculture, Ibadan PMB 5320, Nigeria; (A.A.P.); (R.A.); (A.A.)
| | - Asrat Asfaw
- International Institute of Tropical Agriculture, Ibadan PMB 5320, Nigeria; (A.A.P.); (R.A.); (A.A.)
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Howe GT, Jayawickrama K, Kolpak SE, Kling J, Trappe M, Hipkins V, Ye T, Guida S, Cronn R, Cushman SA, McEvoy S. An Axiom SNP genotyping array for Douglas-fir. BMC Genomics 2020; 21:9. [PMID: 31900111 PMCID: PMC6942338 DOI: 10.1186/s12864-019-6383-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 12/10/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND In forest trees, genetic markers have been used to understand the genetic architecture of natural populations, identify quantitative trait loci, infer gene function, and enhance tree breeding. Recently, new, efficient technologies for genotyping thousands to millions of single nucleotide polymorphisms (SNPs) have finally made large-scale use of genetic markers widely available. These methods will be exceedingly valuable for improving tree breeding and understanding the ecological genetics of Douglas-fir, one of the most economically and ecologically important trees in the world. RESULTS We designed SNP assays for 55,766 potential SNPs that were discovered from previous transcriptome sequencing projects. We tested the array on ~ 2300 related and unrelated coastal Douglas-fir trees (Pseudotsuga menziesii var. menziesii) from Oregon and Washington, and 13 trees of interior Douglas-fir (P. menziesii var. glauca). As many as ~ 28 K SNPs were reliably genotyped and polymorphic, depending on the selected SNP call rate. To increase the number of SNPs and improve genome coverage, we developed protocols to 'rescue' SNPs that did not pass the default Affymetrix quality control criteria (e.g., 97% SNP call rate). Lowering the SNP call rate threshold from 97 to 60% increased the number of successful SNPs from 20,669 to 28,094. We used a subset of 395 unrelated trees to calculate SNP population genetic statistics for coastal Douglas-fir. Over a range of call rate thresholds (97 to 60%), the median call rate for SNPs in Hardy-Weinberg equilibrium ranged from 99.2 to 99.7%, and the median minor allele frequency ranged from 0.198 to 0.233. The successful SNPs also worked well on interior Douglas-fir. CONCLUSIONS Based on the original transcriptome assemblies and comparisons to version 1.0 of the Douglas-fir reference genome, we conclude that these SNPs can be used to genotype about 10 K to 15 K loci. The Axiom genotyping array will serve as an excellent foundation for studying the population genomics of Douglas-fir and for implementing genomic selection. We are currently using the array to construct a linkage map and test genomic selection in a three-generation breeding program for coastal Douglas-fir.
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Affiliation(s)
- Glenn T Howe
- Pacific Northwest Tree Improvement Research Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA.
| | - Keith Jayawickrama
- Northwest Tree Improvement Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | - Scott E Kolpak
- Pacific Northwest Tree Improvement Research Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | - Jennifer Kling
- Pacific Northwest Tree Improvement Research Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | - Matt Trappe
- Northwest Tree Improvement Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | - Valerie Hipkins
- USDA Forest Service, National Forest Genetics Laboratory, Placerville, CA, USA
| | - Terrance Ye
- Northwest Tree Improvement Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | | | - Richard Cronn
- USDA Forest Service, Pacific Northwest Research Station, Corvallis, OR, USA
| | - Samuel A Cushman
- USDA Forest Service, Rocky Mountain Research Station, Flagstaff, AZ, USA
| | - Susan McEvoy
- Pacific Northwest Tree Improvement Research Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
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Muranty H, Denancé C, Feugey L, Crépin JL, Barbier Y, Tartarini S, Ordidge M, Troggio M, Lateur M, Nybom H, Paprstein F, Laurens F, Durel CE. Using whole-genome SNP data to reconstruct a large multi-generation pedigree in apple germplasm. BMC PLANT BIOLOGY 2020; 20:2. [PMID: 31898487 PMCID: PMC6941274 DOI: 10.1186/s12870-019-2171-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 11/27/2019] [Indexed: 05/02/2023]
Abstract
BACKGROUND Apple (Malus x domestica Borkh.) is one of the most important fruit tree crops of temperate areas, with great economic and cultural value. Apple cultivars can be maintained for centuries in plant collections through grafting, and some are thought to date as far back as Roman times. Molecular markers provide a means to reconstruct pedigrees and thus shed light on the recent history of migration and trade of biological materials. The objective of the present study was to identify relationships within a set of over 1400 mostly old apple cultivars using whole-genome SNP data (~ 253 K SNPs) in order to reconstruct pedigrees. RESULTS Using simple exclusion tests, based on counting the number of Mendelian errors, more than one thousand parent-offspring relations and 295 complete parent-offspring families were identified. Additionally, a grandparent couple was identified for the missing parental side of 26 parent-offspring pairings. Among the 407 parent-offspring relations without a second identified parent, 327 could be oriented because one of the individuals was an offspring in a complete family or by using historical data on parentage or date of recording. Parents of emblematic cultivars such as 'Ribston Pippin', 'White Transparent' and 'Braeburn' were identified. The overall pedigree combining all the identified relationships encompassed seven generations and revealed a major impact of two Renaissance cultivars of French and English origin, namely 'Reinette Franche' and 'Margil', and one North-Eastern Europe cultivar from the 1700s, 'Alexander'. On the contrary, several older cultivars, from the Middle Ages or the Roman times, had no, or only single, identifiable offspring in the set of studied accessions. Frequent crosses between cultivars originating from different European regions were identified, especially from the nineteenth century onwards. CONCLUSIONS The availability of over 1400 apple genotypes, previously filtered for genetic uniqueness and providing a broad representation of European germplasm, has been instrumental for the success of this large pedigree reconstruction. It enlightens the history of empirical selection and recent breeding of apple cultivars in Europe and provides insights to speed-up future breeding and selection.
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Affiliation(s)
- Hélène Muranty
- IRHS, INRA, Agrocampus-Ouest, Université d’Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - Caroline Denancé
- IRHS, INRA, Agrocampus-Ouest, Université d’Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - Laurence Feugey
- IRHS, INRA, Agrocampus-Ouest, Université d’Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - Jean-Luc Crépin
- Les Croqueurs de Pommes du Confluent Ain-Isère-Savoie, Les Avenières, France
| | - Yves Barbier
- Les Croqueurs de Pommes du Confluent Ain-Isère-Savoie, Les Avenières, France
| | - Stefano Tartarini
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Matthew Ordidge
- School of Agriculture, Policy and Development, University of Reading, Whiteknights, Reading, UK
| | - Michela Troggio
- Fondazione Edmund Mach, San Michele all’Adige, Trento, Italy
| | - Marc Lateur
- CRA-W, Centre Wallon de Recherches Agronomiques, Plant Breeding & Biodiversity, Gembloux, Belgium
| | - Hilde Nybom
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Balsgård, Kristianstad, Sweden
| | - Frantisek Paprstein
- RBIPH, Research and Breeding Institute of Pomology Holovousy Ltd., Horice, Czech Republic
| | - François Laurens
- IRHS, INRA, Agrocampus-Ouest, Université d’Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - Charles-Eric Durel
- IRHS, INRA, Agrocampus-Ouest, Université d’Angers, SFR 4207 QuaSaV, Beaucouzé, France
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Li Y, Klápště J, Telfer E, Wilcox P, Graham N, Macdonald L, Dungey HS. Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information. BMC Genomics 2019; 20:1026. [PMID: 31881838 PMCID: PMC6935163 DOI: 10.1186/s12864-019-6420-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 12/22/2019] [Indexed: 12/23/2022] Open
Abstract
Background Non-key traits (NKTs) in radiata pine (Pinus radiata D. Don) refer to traits other than growth, wood density and stiffness, but still of interest to breeders. Branch-cluster frequency, stem straightness, external resin bleeding and internal checking are examples of such traits and are targeted for improvement in radiata pine research programmes. Genomic selection can be conducted before the performance of selection candidates is available so that generation intervals can be reduced. Radiata pine is a species with a long generation interval, which if reduced could significantly increase genetic gain per unit of time. The aim of this study was to evaluate the accuracy and predictive ability of genomic selection and its efficiency over traditional forward selection in radiata pine for the following NKTs: branch-cluster frequency, stem straightness, internal checking, and external resin bleeding. Results Nine hundred and eighty-eight individuals were genotyped using exome capture genotyping by sequencing (GBS) and 67,168 single nucleotide polymorphisms (SNPs) used to develop genomic estimated breeding values (GEBVs) with genomic best linear unbiased prediction (GBLUP). The documented pedigree was corrected using a subset of 704 SNPs. The percentage of trio parentage confirmed was about 49% and about 50% of parents were re-assigned. The accuracy of GEBVs was 0.55–0.75 when using the documented pedigree and 0.61–0.80 when using the SNP-corrected pedigree. A higher percentage of additive genetic variance was explained and a higher predictive ability was observed when using the SNP-corrected pedigree than using the documented pedigree. With the documented pedigree, genomic selection was similar to traditional forward selection when assuming a generation interval of 17 years, but worse than traditional forward selection when assuming a generation interval of 14 years. After the pedigree was corrected, genomic selection led to 37–115% and 13–77% additional genetic gain over traditional forward selection when generation intervals of 17 years and 14 years were assumed, respectively. Conclusion It was concluded that genomic selection with a pedigree corrected by SNP information was an efficient way of improving non-key traits in radiata pine breeding.
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Affiliation(s)
- Yongjun Li
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand. .,Agriclture Victoria, AgriBio Centre, 5 Ring Road, Bundoora, VIC, 3083, Australia.
| | - Jaroslav Klápště
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Emily Telfer
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Phillip Wilcox
- University of Otago, 362 Leith Steet, North Dunedin, Dunedin, 9016, New Zealand
| | - Natalie Graham
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Lucy Macdonald
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Heidi S Dungey
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
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11
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Li Y, Klápště J, Telfer E, Wilcox P, Graham N, Macdonald L, Dungey HS. Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information. BMC Genomics 2019; 20:1026. [PMID: 31881838 DOI: 10.1186/s12864-12019-16420-12868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 12/22/2019] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Non-key traits (NKTs) in radiata pine (Pinus radiata D. Don) refer to traits other than growth, wood density and stiffness, but still of interest to breeders. Branch-cluster frequency, stem straightness, external resin bleeding and internal checking are examples of such traits and are targeted for improvement in radiata pine research programmes. Genomic selection can be conducted before the performance of selection candidates is available so that generation intervals can be reduced. Radiata pine is a species with a long generation interval, which if reduced could significantly increase genetic gain per unit of time. The aim of this study was to evaluate the accuracy and predictive ability of genomic selection and its efficiency over traditional forward selection in radiata pine for the following NKTs: branch-cluster frequency, stem straightness, internal checking, and external resin bleeding. RESULTS Nine hundred and eighty-eight individuals were genotyped using exome capture genotyping by sequencing (GBS) and 67,168 single nucleotide polymorphisms (SNPs) used to develop genomic estimated breeding values (GEBVs) with genomic best linear unbiased prediction (GBLUP). The documented pedigree was corrected using a subset of 704 SNPs. The percentage of trio parentage confirmed was about 49% and about 50% of parents were re-assigned. The accuracy of GEBVs was 0.55-0.75 when using the documented pedigree and 0.61-0.80 when using the SNP-corrected pedigree. A higher percentage of additive genetic variance was explained and a higher predictive ability was observed when using the SNP-corrected pedigree than using the documented pedigree. With the documented pedigree, genomic selection was similar to traditional forward selection when assuming a generation interval of 17 years, but worse than traditional forward selection when assuming a generation interval of 14 years. After the pedigree was corrected, genomic selection led to 37-115% and 13-77% additional genetic gain over traditional forward selection when generation intervals of 17 years and 14 years were assumed, respectively. CONCLUSION It was concluded that genomic selection with a pedigree corrected by SNP information was an efficient way of improving non-key traits in radiata pine breeding.
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Affiliation(s)
- Yongjun Li
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand.
- Agriclture Victoria, AgriBio Centre, 5 Ring Road, Bundoora, VIC, 3083, Australia.
| | - Jaroslav Klápště
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Emily Telfer
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Phillip Wilcox
- University of Otago, 362 Leith Steet, North Dunedin, Dunedin, 9016, New Zealand
| | - Natalie Graham
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Lucy Macdonald
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Heidi S Dungey
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
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12
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Telfer E, Graham N, Macdonald L, Li Y, Klápště J, Resende M, Neves LG, Dungey H, Wilcox P. A high-density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata. PLoS One 2019; 14:e0222640. [PMID: 31568509 PMCID: PMC6768539 DOI: 10.1371/journal.pone.0222640] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 09/04/2019] [Indexed: 01/19/2023] Open
Abstract
Development of genome-wide resources for application in genomic selection or genome-wide association studies, in the absence of full reference genomes, present a challenge to the forestry industry, where longer breeding cycles could benefit from the accelerated selection possible through marker-based breeding value predictions. In particular, large conifer megagenomes require a strategy to reduce complexity, whilst ensuring genome-wide coverage is achieved. Using a transcriptome-based reference template, we have successfully developed a high density exome capture genotype-by-sequencing panel for radiata pine (Pinus radiata D.Don), capable of capturing in excess of 80,000 single nucleotide polymorphism (SNP) markers with a minor allele frequency above 0.03 in the population tested. This represents approximately 29,000 gene models from a core set of 48,914 probes. A set of 704 SNP markers capable of pedigree reconstruction and differentiating individual genotypes were tested within two full-sib mapping populations. While as few as 70 markers could reconstruct parentage in almost all cases, the impact of missing genotypes was noticeable in several offspring. Therefore, 60 sets of 110 randomly selected SNP markers were compared for both parentage reconstruction and clone differentiation. The performance in parentage reconstruction showed little variation over 60 iterations. However, there was notable variation in discriminatory power between closely related individuals, indicating a higher density SNP marker panel may be required to elucidate hidden relationships in complex pedigrees.
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Affiliation(s)
- Emily Telfer
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
| | - Natalie Graham
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
| | - Lucy Macdonald
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
| | - Yongjun Li
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
| | - Jaroslav Klápště
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
| | - Marcio Resende
- Horticultural Sciences, University of Florida, Gainesville, FL, United States of America
- RAPiD Genomics LLC, Gainesville, FL, United States of America
| | | | - Heidi Dungey
- New Zealand Forest Research Institute LTD. trading as Scion, Rotorua, New Zealand
| | - Phillip Wilcox
- Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand
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13
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Flanagan SP, Jones AG. The future of parentage analysis: From microsatellites to SNPs and beyond. Mol Ecol 2019; 28:544-567. [PMID: 30575167 DOI: 10.1111/mec.14988] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 11/30/2018] [Accepted: 12/03/2018] [Indexed: 12/14/2022]
Abstract
Parentage analysis is a cornerstone of molecular ecology that has delivered fundamental insights into behaviour, ecology and evolution. Microsatellite markers have long been the king of parentage, their hypervariable nature conferring sufficient power to correctly assign offspring to parents. However, microsatellite markers have seen a sharp decline in use with the rise of next-generation sequencing technologies, especially in the study of population genetics and local adaptation. The time is ripe to review the current state of parentage analysis and see how it stands to be affected by the emergence of next-generation sequencing approaches. We find that single nucleotide polymorphisms (SNPs), the typical next-generation sequencing marker, remain underutilized in parentage analysis but are gaining momentum, with 58 SNP-based parentage analyses published thus far. Many of these papers, particularly the earlier ones, compare the power of SNPs and microsatellites in a parentage context. In virtually every case, SNPs are at least as powerful as microsatellite markers. As few as 100-500 SNPs are sufficient to resolve parentage completely in most situations. We also provide an overview of the analytical programs that are commonly used and compatible with SNP data. As the next-generation parentage enterprise grows, a reliance on likelihood and Bayesian approaches, as opposed to strict exclusion, will become increasingly important. We discuss some of the caveats surrounding the use of next-generation sequencing data for parentage analysis and conclude that the future is bright for this important realm of molecular ecology.
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Affiliation(s)
- Sarah P Flanagan
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Adam G Jones
- Department of Biological Sciences, University of Idaho, Moscow, Idaho
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14
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Grattapaglia D, Silva-Junior OB, Resende RT, Cappa EP, Müller BSF, Tan B, Isik F, Ratcliffe B, El-Kassaby YA. Quantitative Genetics and Genomics Converge to Accelerate Forest Tree Breeding. FRONTIERS IN PLANT SCIENCE 2018; 9:1693. [PMID: 30524463 PMCID: PMC6262028 DOI: 10.3389/fpls.2018.01693] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 10/31/2018] [Indexed: 05/18/2023]
Abstract
Forest tree breeding has been successful at delivering genetically improved material for multiple traits based on recurrent cycles of selection, mating, and testing. However, long breeding cycles, late flowering, variable juvenile-mature correlations, emerging pests and diseases, climate, and market changes, all pose formidable challenges. Genetic dissection approaches such as quantitative trait mapping and association genetics have been fruitless to effectively drive operational marker-assisted selection (MAS) in forest trees, largely because of the complex multifactorial inheritance of most, if not all traits of interest. The convergence of high-throughput genomics and quantitative genetics has established two new paradigms that are changing contemporary tree breeding dogmas. Genomic selection (GS) uses large number of genome-wide markers to predict complex phenotypes. It has the potential to accelerate breeding cycles, increase selection intensity and improve the accuracy of breeding values. Realized genomic relationships matrices, on the other hand, provide innovations in genetic parameters' estimation and breeding approaches by tracking the variation arising from random Mendelian segregation in pedigrees. In light of a recent flow of promising experimental results, here we briefly review the main concepts, analytical tools and remaining challenges that currently underlie the application of genomics data to tree breeding. With easy and cost-effective genotyping, we are now at the brink of extensive adoption of GS in tree breeding. Areas for future GS research include optimizing strategies for updating prediction models, adding validated functional genomics data to improve prediction accuracy, and integrating genomic and multi-environment data for forecasting the performance of genetic material in untested sites or under changing climate scenarios. The buildup of phenotypic and genome-wide data across large-scale breeding populations and advances in computational prediction of discrete genomic features should also provide opportunities to enhance the application of genomics to tree breeding.
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Affiliation(s)
- Dario Grattapaglia
- EMBRAPA Recursos Genéticos e BiotecnologiaBrasília, Brazil
- Programa de Ciências Genômicas e BiotecnologiaUniversidade Católica de Brasília, Brasília, Brazil
- Departamento de Biologia CelularUniversidade de Brasília, Brasília, Brazil
- Department of Forestry and Environmental Resources, North Carolina State UniversityRaleigh, NC, United States
| | - Orzenil B. Silva-Junior
- EMBRAPA Recursos Genéticos e BiotecnologiaBrasília, Brazil
- Programa de Ciências Genômicas e BiotecnologiaUniversidade Católica de Brasília, Brasília, Brazil
| | | | - Eduardo P. Cappa
- Centro de Investigación de Recursos Naturales, Instituto de Recursos BiológicosINTA, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y TécnicasBuenos Aires, Argentina
| | - Bárbara S. F. Müller
- EMBRAPA Recursos Genéticos e BiotecnologiaBrasília, Brazil
- Departamento de Biologia CelularUniversidade de Brasília, Brasília, Brazil
| | - Biyue Tan
- Biomaterials DivisionStora Enso AB, Stockholm, Sweden
| | - Fikret Isik
- Department of Forestry and Environmental Resources, North Carolina State UniversityRaleigh, NC, United States
| | - Blaise Ratcliffe
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British ColumbiaVancouver, BC, Canada
| | - Yousry A. El-Kassaby
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British ColumbiaVancouver, BC, Canada
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15
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Dungey HS, Dash JP, Pont D, Clinton PW, Watt MS, Telfer EJ. Phenotyping Whole Forests Will Help to Track Genetic Performance. TRENDS IN PLANT SCIENCE 2018; 23:854-864. [PMID: 30217472 DOI: 10.1016/j.tplants.2018.08.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 08/07/2018] [Accepted: 08/10/2018] [Indexed: 06/08/2023]
Abstract
Phenotyping is the accurate and precise physical description of organisms. Accurate and quantitative phenotyping underpins the delivery of benefits from genetic improvement programs in agriculture. In forest trees, phenotyping at an equivalent precision has been impossible because trees and forests are large, long-lived, and highly variable. These facts have restricted the delivery of genetic gains in forestry compared to other agricultural sectors. We describe a landscape-scale phenotyping platform that integrates remote sensing, spatial information systems, and genomics to facilitate the delivery of greater gains enabling forestry to catch up with other sectors. Combining remote sensing at a range of spatial and temporal scales with genomics will ultimately impact on tree breeding globally.
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Affiliation(s)
- Heidi S Dungey
- Scion, 49 Sala Street, Rotorua, 3020, New Zealand; www.scionresearch.com/about-us/about-scion/our-people/people/forest-science/heidi-dungey.
| | | | - David Pont
- Scion, 49 Sala Street, Rotorua, 3020, New Zealand
| | - Peter W Clinton
- Scion, 10 Kyle Street, Riccarton, Christchurch 8011, New Zealand
| | - Michael S Watt
- Scion, 10 Kyle Street, Riccarton, Christchurch 8011, New Zealand
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16
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Suontama M, Klápště J, Telfer E, Graham N, Stovold T, Low C, McKinley R, Dungey H. Efficiency of genomic prediction across two Eucalyptus nitens seed orchards with different selection histories. Heredity (Edinb) 2018; 122:370-379. [PMID: 29980794 PMCID: PMC6460750 DOI: 10.1038/s41437-018-0119-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 06/11/2018] [Accepted: 06/12/2018] [Indexed: 11/09/2022] Open
Abstract
Genomic selection is expected to enhance the genetic improvement of forest tree species by providing more accurate estimates of breeding values through marker-based relationship matrices compared with pedigree-based methodologies. When adequately robust genomic prediction models are available, an additional increase in genetic gains can be made possible with the shortening of the breeding cycle through elimination of the progeny testing phase and early selection of parental candidates. The potential of genomic selection was investigated in an advanced Eucalyptus nitens breeding population focused on improvement for solid wood production. A high-density SNP chip (EUChip60K) was used to genotype 691 individuals in the breeding population, which represented two seed orchards with different selection histories. Phenotypic records for growth and form traits at age six, and for wood quality traits at age seven were available to build genomic prediction models using GBLUP, which were compared to the traditional pedigree-based alternative using BLUP. GBLUP demonstrated that breeding value accuracy would be improved and substantial increases in genetic gains towards solid wood production would be achieved. Cross-validation within and across two different seed orchards indicated that genomic predictions would likely benefit in terms of higher predictive accuracy from increasing the size of the training data sets through higher relatedness and better utilization of LD.
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Affiliation(s)
- Mari Suontama
- Scion (The New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3046, New Zealand.
| | - Jaroslav Klápště
- Scion (The New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3046, New Zealand
| | - Emily Telfer
- Scion (The New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3046, New Zealand
| | - Natalie Graham
- Scion (The New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3046, New Zealand
| | - Toby Stovold
- Scion (The New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3046, New Zealand
| | - Charlie Low
- Scion (The New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3046, New Zealand
| | - Russell McKinley
- Scion (The New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3046, New Zealand
| | - Heidi Dungey
- Scion (The New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3046, New Zealand
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17
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Klápště J, Suontama M, Telfer E, Graham N, Low C, Stovold T, McKinley R, Dungey H. Exploration of genetic architecture through sib-ship reconstruction in advanced breeding population of Eucalyptus nitens. PLoS One 2017; 12:e0185137. [PMID: 28938023 PMCID: PMC5609769 DOI: 10.1371/journal.pone.0185137] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 09/05/2017] [Indexed: 11/19/2022] Open
Abstract
Accurate inference of relatedness between individuals in breeding population contributes to the precision of genetic parameter estimates, effectiveness of inbreeding management and the amount of genetic progress delivered from breeding programs. Pedigree reconstruction has been proven to be an efficient tool to correct pedigree errors and recover hidden relatedness in open pollinated progeny tests but the method can be limited by the lack of parental genotypes and the high proportion of alien pollen from outside the breeding population. Our study investigates the efficiency of sib-ship reconstruction in an advanced breeding population of Eucalyptus nitens with only partially tracked pedigree. The sib-ship reconstruction allowed the identification of selfs (4% of the sample) and the exploration of their potential effect on inbreeding depression in the traits studied. We detected signs of inbreeding depression in diameter at breast height and growth strain while no indications were observed in wood density, wood stiffness and tangential air-dry shrinkage. After the application of a corrected sib-ship relationship matrix, additive genetic variance and heritability were observed to increase where signs of inbreeding depression were initially detected. Conversely, the same genetic parameters for traits that appeared to be free of inbreeding depression decreased in size. It therefore appeared that greater genetic variance may be due, at least in part, to contributions from inbreeding in these studied populations rather than a removal of inbreeding as is traditionally thought.
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Affiliation(s)
- Jaroslav Klápště
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, 3046 Rotorua, New Zealand
- * E-mail:
| | - Mari Suontama
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, 3046 Rotorua, New Zealand
| | - Emily Telfer
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, 3046 Rotorua, New Zealand
| | - Natalie Graham
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, 3046 Rotorua, New Zealand
| | - Charlie Low
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, 3046 Rotorua, New Zealand
| | - Toby Stovold
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, 3046 Rotorua, New Zealand
| | - Russel McKinley
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, 3046 Rotorua, New Zealand
| | - Heidi Dungey
- Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, 3046 Rotorua, New Zealand
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Evaluation of efficiency of controlled pollination based parentage analysis in a Larix gmelinii var. principis-rupprechtii Mayr. seed orchard. PLoS One 2017; 12:e0176483. [PMID: 28448554 PMCID: PMC5407790 DOI: 10.1371/journal.pone.0176483] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 04/11/2017] [Indexed: 11/19/2022] Open
Abstract
Controlled pollination (CP) is an important tool for breeding programs to improve seed quality, as it rapidly generates desirable genotypes and maximizes genetic gains. However, few studies have evaluated the success rate of CP, especially in Larix gmelinii var. principis-rupprechtii Mayr. seed orchards. In this study, we estimated the rate of correct parentage in 257 CP progeny in an L. gmelinii var. principis-rupprechtii seed orchard from ten candidate parents using 13 microsatellites. The parentage exclusion probabilities of all combined loci in the single parent and parent pair tests were > 0.99, which was sufficient to distinguish the relatedness of the sampled individuals. Comparing the maximum likelihood-based parentage analysis results with breeding records revealed that the percentages of correctly identified maternal and paternal parents were 22.6% and 35.0% at 95% CL, respectively, suggestive of parent mislabeling and pollen contamination in the CP population. We conducted a pedigree reconstruction by identifying the expected parents and assigned maternity, paternity, and parent pairs to 176 (68.5%), 199 (77.4%), and 132 (51.4%) progeny, respectively. This study provides a reference for future selection of elite genotypes for commercial production. To increase the efficiency of CP, molecular markers should be used to correctly identify individuals in seed orchards before conducting CP.
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Campos M, Conn JE, Alonso DP, Vinetz JM, Emerson KJ, Ribolla PEM. Microgeographical structure in the major Neotropical malaria vector Anopheles darlingi using microsatellites and SNP markers. Parasit Vectors 2017; 10:76. [PMID: 28193289 PMCID: PMC5307779 DOI: 10.1186/s13071-017-2014-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2016] [Accepted: 01/31/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In recent decades, throughout the Amazon Basin, landscape modification contributing to profound ecological change has proceeded at an unprecedented rate. Deforestation that accompanies human activities can significantly change aspects of anopheline biology, though this may be site-specific. Such local changes in anopheline biology could have a great impact on malaria transmission. The aim of this study was to investigate population genetics of the main malaria vector in Brazil, Anopheles darlingi, from a microgeographical perspective. METHODS Microsatellites and ddRADseq-derived single nucleotide polymorphisms (SNPs) were used to assess levels of population genetic structuring among mosquito populations from two ecologically distinctive agricultural settlements (~60 km apart) and a population from a distant (~700 km) urban setting in the western Amazon region of Brazil. RESULTS Significant microgeographical population differentiation was observed among Anopheles darlingi populations via both model- and non-model-based analysis only with the SNP dataset. Microsatellites detected moderate differentiation at the greatest distances, but were unable to differentiate populations from the two agricultural settlements. Both markers showed low polymorphism levels in the most human impacted sites. CONCLUSIONS At a microgeographical scale, signatures of genetic heterogeneity and population divergence were evident in Anopheles darlingi, possibly related to local environmental anthropic modification. This divergence was observed only when using high coverage SNP markers.
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Affiliation(s)
- Melina Campos
- Biotechnology Institute (IBTEC) & Biosciences Institute at Botucatu (IBB), Sao Paulo State University (UNESP), Sao Paulo, Brazil
| | - Jan E Conn
- Department of Biomedical Sciences, School of Public Health, University at Albany (State University of New York), Albany, NY, USA.,New York State Department of Health, Wadsworth Center, Albany, NY, USA
| | - Diego Peres Alonso
- Biotechnology Institute (IBTEC) & Biosciences Institute at Botucatu (IBB), Sao Paulo State University (UNESP), Sao Paulo, Brazil
| | - Joseph M Vinetz
- Division of Infectious Diseases, Department of Medicine, University of California, La Jolla, San Diego, CA, USA.,Instituto de Medicina Tropical "Alexander von Humboldt," and Departamento de Ciencias Celulares y Moleculares, Laboratorio de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Kevin J Emerson
- Biology Department, St. Mary's College of Maryland, St. Mary's City, MD, USA
| | - Paulo Eduardo Martins Ribolla
- Biotechnology Institute (IBTEC) & Biosciences Institute at Botucatu (IBB), Sao Paulo State University (UNESP), Sao Paulo, Brazil.
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