1
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Tsai SH, Chang PY, Wen YH, Lin WT, Hsu FP, Chen DP. Screening of single nucleotide polymorphisms within HLA region related to hematopoietic stem cell transplantation using MassARRAY technology. Sci Rep 2023; 13:5913. [PMID: 37041193 PMCID: PMC10090154 DOI: 10.1038/s41598-023-33149-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 04/07/2023] [Indexed: 04/13/2023] Open
Abstract
A growing number of studies showed that single nucleotide polymorphisms (SNPs) in the human leukocyte antigen (HLA)-related genes were associated with the outcome of hematopoietic stem cell transplantation (HSCT). Thus, other SNPs located nearby the classical HLA genes must be considered in HSCT. We evaluated the clinical feasibility of MassARRAY by comparing to Sanger sequencing. The PCR amplicons with each one of the 17 loci that were related to the outcomes of HSCT published by our previous study were transferred onto a SpectroCHIP Array for genotyping by mass spectrometry. The sensitivity of MassARRAY was 97.9% (614/627) and the specificity was 100% (1281/1281), where the positive predictive value (PPV) was 100% (614/614) and the negative predictive value (NPV) was 99.0% (1281/1294). MassARRAY is high-throughput, which can accurately analyze multiple SNPs at the same time. Based on these properties, we proposed that it could be an efficient method to match the genotype between the graft and the recipient before transplantation.
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Affiliation(s)
- Shu-Hui Tsai
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Pi-Yueh Chang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ying-Hao Wen
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wei-Tzu Lin
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Fang-Ping Hsu
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Ding-Ping Chen
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan.
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
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2
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Polyploid SNP Genotyping Using the MassARRAY System. Methods Mol Biol 2023; 2638:93-113. [PMID: 36781637 DOI: 10.1007/978-1-0716-3024-2_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Molecular marker discovery and genotyping are major challenges in polyploid breeding programs incorporating molecular biology tools. In this context, this work describes a method for single nucleotide polymorphism (SNP) genotyping in polyploid crops using matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) mass spectrometry, the MassARRAY System.
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3
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Batista LG, Mello VH, Souza AP, Margarido GRA. Genomic prediction with allele dosage information in highly polyploid species. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:723-739. [PMID: 34800132 DOI: 10.1007/s00122-021-03994-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 11/06/2021] [Indexed: 06/13/2023]
Abstract
Including allele, dosage can improve genomic selection in highly polyploid species under higher frequency of different heterozygous genotypic classes and high dominance degree levels. Several studies have shown how to leverage allele dosage information to improve the accuracy of genomic selection models in autotetraploid. In this study, we expanded the methodology used for genomic selection in autotetraploid to higher (and mixed) ploidy levels. We adapted the models to build covariance matrices of both additive and digenic dominance effects that are subsequently used in genomic selection models. We applied these models using estimates of ploidy and allele dosage to sugarcane and sweet potato datasets and validated our results by also applying the models in simulated data. For the simulated datasets, including allele dosage information led up to 140% higher mean predictive abilities in comparison to using diploidized markers. Including dominance effects were highly advantageous when using diploidized markers, leading to mean predictive abilities which were up to 115% higher in comparison to only including additive effects. When the frequency of heterozygous genotypes in the population was low, such as in the sugarcane and sweet potato datasets, there was little advantage in including allele dosage information in the models. Overall, we show that including allele dosage can improve genomic selection in highly polyploid species under higher frequency of different heterozygous genotypic classes and high dominance degree levels.
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Affiliation(s)
- Lorena G Batista
- Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, SP, 13418-900, Brazil
| | - Victor H Mello
- Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, SP, 13418-900, Brazil
| | - Anete P Souza
- Center of Molecular Biology and Genetic Engineering, University of Campinas, Campinas, SP, 13083-970, Brazil
| | - Gabriel R A Margarido
- Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, SP, 13418-900, Brazil.
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4
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Gerard D. Pairwise linkage disequilibrium estimation for polyploids. Mol Ecol Resour 2021; 21:1230-1242. [PMID: 33559321 DOI: 10.1111/1755-0998.13349] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 01/18/2021] [Accepted: 02/01/2021] [Indexed: 12/31/2022]
Abstract
Many tasks in statistical genetics involve pairwise estimation of linkage disequilibrium (LD). The study of LD in diploids is mature. However, in polyploids, the field lacks a comprehensive characterization of LD. Polyploids also exhibit greater levels of genotype uncertainty than diploids, yet no methods currently exist to estimate LD in polyploids in the presence of such genotype uncertainty. Furthermore, most LD estimation methods do not quantify the level of uncertainty in their LD estimates. Our study contains three major contributions. (i) We characterize haplotypic and composite measures of LD in polyploids. These composite measures of LD turn out to be functions of common statistical measures of association. (ii) We derive procedures to estimate haplotypic and composite LD in polyploids in the presence of genotype uncertainty. We do this by estimating LD directly from genotype likelihoods, which may be obtained from many genotyping platforms. (iii) We derive standard errors of all LD estimators that we discuss. We validate our methods on both real and simulated data. Our methods are implemented in the R package ldsep, available on the Comprehensive R Archive Network https://cran.r-project.org/package=ldsep.
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Affiliation(s)
- David Gerard
- Department of Mathematics and Statistics, American University, Washington, DC, USA
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5
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Quezada M, Amadeu RR, Vignale B, Cabrera D, Pritsch C, Garcia AAF. Construction of a High-Density Genetic Map of Acca sellowiana (Berg.) Burret, an Outcrossing Species, Based on Two Connected Mapping Populations. FRONTIERS IN PLANT SCIENCE 2021; 12:626811. [PMID: 33708232 PMCID: PMC7940835 DOI: 10.3389/fpls.2021.626811] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/12/2021] [Indexed: 06/12/2023]
Abstract
Acca sellowiana, known as feijoa or pineapple guava, is a diploid, (2n = 2x = 22) outcrossing fruit tree species native to Uruguay and Brazil. The species stands out for its highly aromatic fruits, with nutraceutical and therapeutic value. Despite its promising agronomical value, genetic studies on this species are limited. Linkage genetic maps are valuable tools for genetic and genomic studies, and constitute essential tools in breeding programs to support the development of molecular breeding strategies. A high-density composite genetic linkage map of A. sellowiana was constructed using two genetically connected populations: H5 (TCO × BR, N = 160) and H6 (TCO × DP, N = 184). Genotyping by sequencing (GBS) approach was successfully applied for developing single nucleotide polymorphism (SNP) markers. A total of 4,921 SNP markers were identified using the reference genome of the closely related species Eucalyptus grandis, whereas other 4,656 SNPs were discovered using a de novo pipeline. The individual H5 and H6 maps comprised 1,236 and 1,302 markers distributed over the expected 11 linkage groups, respectively. These two maps spanned a map length of 1,593 and 1,572 cM, with an average inter-marker distance of 1.29 and 1.21 cM, respectively. A large proportion of markers were common to both maps and showed a high degree of collinearity. The composite map consisted of 1,897 SNPs markers with a total map length of 1,314 cM and an average inter-marker distance of 0.69. A novel approach for the construction of composite maps where the meiosis information of individuals of two connected populations is captured in a single estimator is described. A high-density, accurate composite map based on a consensus ordering of markers provides a valuable contribution for future genetic research and breeding efforts in A. sellowiana. A novel mapping approach based on an estimation of multipopulation recombination fraction described here may be applied in the construction of dense composite genetic maps for any other outcrossing diploid species.
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Affiliation(s)
- Marianella Quezada
- Laboratorio de Biotecnología, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Rodrigo Rampazo Amadeu
- Laboratório de Genética Estatística, Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, Brazil
| | - Beatriz Vignale
- Mejoramiento Genético, Departamento de Producción Vegetal, Estación Experimental de la Facultad de Agronomía, Universidad de la República, Salto, Uruguay
| | - Danilo Cabrera
- Programa de Investigación en Producción Fruticola, Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental “Wilson Ferreira Aldunate”, Canelones, Uruguay
| | - Clara Pritsch
- Laboratorio de Biotecnología, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Antonio Augusto Franco Garcia
- Laboratório de Genética Estatística, Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, Brazil
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6
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Mollinari M, Olukolu BA, Pereira GDS, Khan A, Gemenet D, Yencho GC, Zeng ZB. Unraveling the Hexaploid Sweetpotato Inheritance Using Ultra-Dense Multilocus Mapping. G3 (BETHESDA, MD.) 2020; 10:281-292. [PMID: 31732504 PMCID: PMC6945028 DOI: 10.1534/g3.119.400620] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 11/12/2019] [Indexed: 12/18/2022]
Abstract
The hexaploid sweetpotato (Ipomoea batatas (L.) Lam., 2n = 6x = 90) is an important staple food crop worldwide and plays a vital role in alleviating famine in developing countries. Due to its high ploidy level, genetic studies in sweetpotato lag behind major diploid crops significantly. We built an ultra-dense multilocus integrated genetic map and characterized the inheritance system in a sweetpotato full-sib family using our newly developed software, MAPpoly. The resulting genetic map revealed 96.5% collinearity between I. batatas and its diploid relative I. trifida We computed the genotypic probabilities across the whole genome for all individuals in the mapping population and inferred their complete hexaploid haplotypes. We provide evidence that most of the meiotic configurations (73.3%) were resolved in bivalents, although a small portion of multivalent signatures (15.7%), among other inconclusive configurations (11.0%), were also observed. Except for low levels of preferential pairing in linkage group 2, we observed a hexasomic inheritance mechanism in all linkage groups. We propose that the hexasomic-bivalent inheritance promotes stability to the allelic transmission in sweetpotato.
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Affiliation(s)
- Marcelo Mollinari
- Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina,
- Department of Horticultural Science, North Carolina State University, Raleigh, North Carolina
| | - Bode A Olukolu
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, Tennessee
| | - Guilherme da S Pereira
- Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina
- Department of Horticultural Science, North Carolina State University, Raleigh, North Carolina
| | - Awais Khan
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, New York, and
| | - Dorcus Gemenet
- International Potato Center, ILRI Campus, Nairobi, Kenya
| | - G Craig Yencho
- Department of Horticultural Science, North Carolina State University, Raleigh, North Carolina
| | - Zhao-Bang Zeng
- Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina
- Department of Horticultural Science, North Carolina State University, Raleigh, North Carolina
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7
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Mollinari M, Olukolu BA, Pereira GDS, Khan A, Gemenet D, Yencho GC, Zeng ZB. Unraveling the Hexaploid Sweetpotato Inheritance Using Ultra-Dense Multilocus Mapping. G3 (BETHESDA, MD.) 2020. [PMID: 31732504 DOI: 10.25387/g3.10255844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
The hexaploid sweetpotato (Ipomoea batatas (L.) Lam., 2n = 6x = 90) is an important staple food crop worldwide and plays a vital role in alleviating famine in developing countries. Due to its high ploidy level, genetic studies in sweetpotato lag behind major diploid crops significantly. We built an ultra-dense multilocus integrated genetic map and characterized the inheritance system in a sweetpotato full-sib family using our newly developed software, MAPpoly. The resulting genetic map revealed 96.5% collinearity between I. batatas and its diploid relative I. trifida We computed the genotypic probabilities across the whole genome for all individuals in the mapping population and inferred their complete hexaploid haplotypes. We provide evidence that most of the meiotic configurations (73.3%) were resolved in bivalents, although a small portion of multivalent signatures (15.7%), among other inconclusive configurations (11.0%), were also observed. Except for low levels of preferential pairing in linkage group 2, we observed a hexasomic inheritance mechanism in all linkage groups. We propose that the hexasomic-bivalent inheritance promotes stability to the allelic transmission in sweetpotato.
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Affiliation(s)
- Marcelo Mollinari
- Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina,
- Department of Horticultural Science, North Carolina State University, Raleigh, North Carolina
| | - Bode A Olukolu
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, Tennessee
| | - Guilherme da S Pereira
- Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina
- Department of Horticultural Science, North Carolina State University, Raleigh, North Carolina
| | - Awais Khan
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, New York, and
| | - Dorcus Gemenet
- International Potato Center, ILRI Campus, Nairobi, Kenya
| | - G Craig Yencho
- Department of Horticultural Science, North Carolina State University, Raleigh, North Carolina
| | - Zhao-Bang Zeng
- Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina
- Department of Horticultural Science, North Carolina State University, Raleigh, North Carolina
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8
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Linkage Analysis and Haplotype Phasing in Experimental Autopolyploid Populations with High Ploidy Level Using Hidden Markov Models. G3-GENES GENOMES GENETICS 2019; 9:3297-3314. [PMID: 31405891 PMCID: PMC6778803 DOI: 10.1534/g3.119.400378] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Modern SNP genotyping technologies allow measurement of the relative abundance of different alleles for a given locus and consequently estimation of their allele dosage, opening a new road for genetic studies in autopolyploids. Despite advances in genetic linkage analysis in autotetraploids, there is a lack of statistical models to perform linkage analysis in organisms with higher ploidy levels. In this paper, we present a statistical method to estimate recombination fractions and infer linkage phases in full-sib populations of autopolyploid species with even ploidy levels for a set of SNP markers using hidden Markov models. Our method uses efficient two-point procedures to reduce the search space for the best linkage phase configuration and reestimate the final parameters by maximizing the likelihood of the Markov chain. To evaluate the method, and demonstrate its properties, we rely on simulations of autotetraploid, autohexaploid and autooctaploid populations and on a real tetraploid potato data set. The results show the reliability of our approach, including situations with complex linkage phase scenarios in hexaploid and octaploid populations.
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9
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Mollinari M, Garcia AAF. Linkage Analysis and Haplotype Phasing in Experimental Autopolyploid Populations with High Ploidy Level Using Hidden Markov Models. G3 (BETHESDA, MD.) 2019. [PMID: 31405891 DOI: 10.1101/415232v2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
Modern SNP genotyping technologies allow measurement of the relative abundance of different alleles for a given locus and consequently estimation of their allele dosage, opening a new road for genetic studies in autopolyploids. Despite advances in genetic linkage analysis in autotetraploids, there is a lack of statistical models to perform linkage analysis in organisms with higher ploidy levels. In this paper, we present a statistical method to estimate recombination fractions and infer linkage phases in full-sib populations of autopolyploid species with even ploidy levels for a set of SNP markers using hidden Markov models. Our method uses efficient two-point procedures to reduce the search space for the best linkage phase configuration and reestimate the final parameters by maximizing the likelihood of the Markov chain. To evaluate the method, and demonstrate its properties, we rely on simulations of autotetraploid, autohexaploid and autooctaploid populations and on a real tetraploid potato data set. The results show the reliability of our approach, including situations with complex linkage phase scenarios in hexaploid and octaploid populations.
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Affiliation(s)
- Marcelo Mollinari
- Department of Horticultural Science, Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, and
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10
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de C Lara LA, Santos MF, Jank L, Chiari L, Vilela MDM, Amadeu RR, Dos Santos JPR, Pereira GDS, Zeng ZB, Garcia AAF. Genomic Selection with Allele Dosage in Panicum maximum Jacq. G3 (BETHESDA, MD.) 2019; 9:2463-2475. [PMID: 31171567 PMCID: PMC6686918 DOI: 10.1534/g3.118.200986] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 05/23/2019] [Indexed: 12/21/2022]
Abstract
Genomic selection is an efficient approach to get shorter breeding cycles in recurrent selection programs and greater genetic gains with selection of superior individuals. Despite advances in genotyping techniques, genetic studies for polyploid species have been limited to a rough approximation of studies in diploid species. The major challenge is to distinguish the different types of heterozygotes present in polyploid populations. In this work, we evaluated different genomic prediction models applied to a recurrent selection population of 530 genotypes of Panicum maximum, an autotetraploid forage grass. We also investigated the effect of the allele dosage in the prediction, i.e., considering tetraploid (GS-TD) or diploid (GS-DD) allele dosage. A longitudinal linear mixed model was fitted for each one of the six phenotypic traits, considering different covariance matrices for genetic and residual effects. A total of 41,424 genotyping-by-sequencing markers were obtained using 96-plex and Pst1 restriction enzyme, and quantitative genotype calling was performed. Six predictive models were generalized to tetraploid species and predictive ability was estimated by a replicated fivefold cross-validation process. GS-TD and GS-DD models were performed considering 1,223 informative markers. Overall, GS-TD data yielded higher predictive abilities than with GS-DD data. However, different predictive models had similar predictive ability performance. In this work, we provide bioinformatic and modeling guidelines to consider tetraploid dosage and observed that genomic selection may lead to additional gains in recurrent selection program of P. maximum.
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Affiliation(s)
- Letícia A de C Lara
- Luiz de Queiroz College of Agriculture / University of São Paulo (ESALQ/USP), Piracicaba, SP, Brazil
| | | | - Liana Jank
- Embrapa Beef Cattle, Campo Grande, MS, Brazil, and
| | | | | | - Rodrigo R Amadeu
- Luiz de Queiroz College of Agriculture / University of São Paulo (ESALQ/USP), Piracicaba, SP, Brazil
| | - Jhonathan P R Dos Santos
- Luiz de Queiroz College of Agriculture / University of São Paulo (ESALQ/USP), Piracicaba, SP, Brazil
| | | | | | - Antonio Augusto F Garcia
- Luiz de Queiroz College of Agriculture / University of São Paulo (ESALQ/USP), Piracicaba, SP, Brazil
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11
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Ren P, Liu J, Zhao H, Fan XP, Xu YC, Li CX. Construction of a rapid microfluidic-based SNP genotyping (MSG) chip for ancestry inference. Forensic Sci Int Genet 2019; 41:145-151. [DOI: 10.1016/j.fsigen.2019.04.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 04/27/2019] [Accepted: 04/28/2019] [Indexed: 01/20/2023]
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12
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Genomic Prediction of Autotetraploids; Influence of Relationship Matrices, Allele Dosage, and Continuous Genotyping Calls in Phenotype Prediction. G3-GENES GENOMES GENETICS 2019; 9:1189-1198. [PMID: 30782769 PMCID: PMC6469427 DOI: 10.1534/g3.119.400059] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Estimation of allele dosage, using genomic data, in autopolyploids is challenging and current methods often result in the misclassification of genotypes. Some progress has been made when using SNP arrays, but the major challenge is when using next generation sequencing data. Here we compare the use of read depth as continuous parameterization with ploidy parameterizations in the context of genomic selection (GS). Additionally, different sources of information to build relationship matrices were compared. A real breeding population of the autotetraploid species blueberry (Vaccinium corybosum), composed of 1,847 individuals was phenotyped for eight yield and fruit quality traits over two years. Continuous genotypic based models performed as well as the best models. This approach also reduces the computational time and avoids problems associated with misclassification of genotypic classes when assigning dosage in polyploid species. This approach could be very valuable for species with higher ploidy levels or for emerging crops where ploidy is not well understood. To our knowledge, this work constitutes the first study of genomic selection in blueberry. Accuracies are encouraging for application of GS for blueberry breeding. GS could reduce the time for cultivar release by three years, increasing the genetic gain per cycle by 86% on average when compared to phenotypic selection, and 32% when compared with pedigree-based selection. Finally, the genotypic and phenotypic data used in this study are made available for comparative analysis of dosage calling and genomic selection prediction models in the context of autopolyploids.
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13
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Ferreira RCU, Lara LADC, Chiari L, Barrios SCL, do Valle CB, Valério JR, Torres FZV, Garcia AAF, de Souza AP. Genetic Mapping With Allele Dosage Information in Tetraploid Urochloa decumbens (Stapf) R. D. Webster Reveals Insights Into Spittlebug ( Notozulia entreriana Berg) Resistance. FRONTIERS IN PLANT SCIENCE 2019; 10:92. [PMID: 30873183 PMCID: PMC6401981 DOI: 10.3389/fpls.2019.00092] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 01/21/2019] [Indexed: 05/08/2023]
Abstract
Urochloa decumbens (Stapf) R. D. Webster is one of the most important African forage grasses in Brazilian beef production. Currently available genetic-genomic resources for this species are restricted mainly due to polyploidy and apomixis. Therefore, crucial genomic-molecular studies such as the construction of genetic maps and the mapping of quantitative trait loci (QTLs) are very challenging and consequently affect the advancement of molecular breeding. The objectives of this work were to (i) construct an integrated U. decumbens genetic map for a full-sibling progeny using GBS-based markers with allele dosage information, (ii) detect QTLs for spittlebug (Notozulia entreriana) resistance, and (iii) seek putative candidate genes involved in defense against biotic stresses. We used the Setaria viridis genome a reference to align GBS reads and selected 4,240 high-quality SNP markers with allele dosage information. Of these markers, 1,000 were distributed throughout nine homologous groups with a cumulative map length of 1,335.09 cM and an average marker density of 1.33 cM. We detected QTLs for resistance to spittlebug, an important pasture insect pest, that explained between 4.66 and 6.24% of the phenotypic variation. These QTLs are in regions containing putative candidate genes related to defense against biotic stresses. Because this is the first genetic map with SNP autotetraploid dosage data and QTL detection in U. decumbens, it will be useful for future evolutionary studies, genome assembly, and other QTL analyses in Urochloa spp. Moreover, the results might facilitate the isolation of spittlebug-related candidate genes and help clarify the mechanism of spittlebug resistance. These approaches will improve selection efficiency and accuracy in U. decumbens molecular breeding and shorten the breeding cycle.
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Affiliation(s)
| | | | - Lucimara Chiari
- Embrapa Beef Cattle, Brazilian Agricultural Research Corporation, Campo Grande, Brazil
| | | | | | - José Raul Valério
- Embrapa Beef Cattle, Brazilian Agricultural Research Corporation, Campo Grande, Brazil
| | | | | | - Anete Pereira de Souza
- Center for Molecular Biology and Genetic Engineering, University of Campinas, Campinas, Brazil
- Plant Biology Department, Biology Institute, University of Campinas, Campinas, Brazil
- *Correspondence: Anete Pereira de Souza,
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14
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Gerard D, Ferrão LFV, Garcia AAF, Stephens M. Genotyping Polyploids from Messy Sequencing Data. Genetics 2018; 210:789-807. [PMID: 30185430 PMCID: PMC6218231 DOI: 10.1534/genetics.118.301468] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 08/21/2018] [Indexed: 12/30/2022] Open
Abstract
Detecting and quantifying the differences in individual genomes (i.e., genotyping), plays a fundamental role in most modern bioinformatics pipelines. Many scientists now use reduced representation next-generation sequencing (NGS) approaches for genotyping. Genotyping diploid individuals using NGS is a well-studied field, and similar methods for polyploid individuals are just emerging. However, there are many aspects of NGS data, particularly in polyploids, that remain unexplored by most methods. Our contributions in this paper are fourfold: (i) We draw attention to, and then model, common aspects of NGS data: sequencing error, allelic bias, overdispersion, and outlying observations. (ii) Many datasets feature related individuals, and so we use the structure of Mendelian segregation to build an empirical Bayes approach for genotyping polyploid individuals. (iii) We develop novel models to account for preferential pairing of chromosomes, and harness these for genotyping. (iv) We derive oracle genotyping error rates that may be used for read depth suggestions. We assess the accuracy of our method in simulations, and apply it to a dataset of hexaploid sweet potato (Ipomoea batatas). An R package implementing our method is available at https://cran.r-project.org/package=updog.
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Affiliation(s)
- David Gerard
- Department of Mathematics and Statistics, American University, Washington, DC 20016
| | | | - Antonio Augusto Franco Garcia
- Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13418-900, Brazil
| | - Matthew Stephens
- Department of Human Genetics, University of Chicago, Illinois 60637
- Department of Statistics, University of Chicago, Illinois 60637
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15
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A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids. BMC Bioinformatics 2018; 19:398. [PMID: 30382832 PMCID: PMC6211426 DOI: 10.1186/s12859-018-2433-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 10/15/2018] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Genotyping-by-sequencing (GBS) has been used broadly in genetic studies for several species, especially those with agricultural importance. However, its use is still limited in autopolyploid species because genotype calling software generally fails to properly distinguish heterozygous classes based on allele dosage. RESULTS VCF2SM is a Python script that integrates sequencing depth information of polymorphisms in variant call format (VCF) files and SUPERMASSA software for quantitative genotype calling. VCFs can be obtained from any variant discovery software that outputs exact allele sequencing depth, such as a modified version of the TASSEL-GBS pipeline provided here. VCF2SM was successfully applied in analyzing GBS data from diverse panels (alfalfa and potato) and full-sib mapping populations (alfalfa and switchgrass) of polyploid species. CONCLUSIONS We demonstrate that our approach can help plant geneticists working with autopolyploid species to advance their studies by distinguishing allele dosage from GBS data.
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Ferrão LFV, Benevenuto J, Oliveira IDB, Cellon C, Olmstead J, Kirst M, Resende MFR, Munoz P. Insights Into the Genetic Basis of Blueberry Fruit-Related Traits Using Diploid and Polyploid Models in a GWAS Context. Front Ecol Evol 2018. [DOI: 10.3389/fevo.2018.00107] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Balsalobre TWA, da Silva Pereira G, Margarido GRA, Gazaffi R, Barreto FZ, Anoni CO, Cardoso-Silva CB, Costa EA, Mancini MC, Hoffmann HP, de Souza AP, Garcia AAF, Carneiro MS. GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane. BMC Genomics 2017; 18:72. [PMID: 28077090 PMCID: PMC5225503 DOI: 10.1186/s12864-016-3383-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 12/07/2016] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Sugarcane (Saccharum spp.) is predominantly an autopolyploid plant with a variable ploidy level, frequent aneuploidy and a large genome that hampers investigation of its organization. Genetic architecture studies are important for identifying genomic regions associated with traits of interest. However, due to the genetic complexity of sugarcane, the practical applications of genomic tools have been notably delayed in this crop, in contrast to other crops that have already advanced to marker-assisted selection (MAS) and genomic selection. High-throughput next-generation sequencing (NGS) technologies have opened new opportunities for discovering molecular markers, especially single nucleotide polymorphisms (SNPs) and insertion-deletion (indels), at the genome-wide level. The objectives of this study were to (i) establish a pipeline for identifying variants from genotyping-by-sequencing (GBS) data in sugarcane, (ii) construct an integrated genetic map with GBS-based markers plus target region amplification polymorphisms and microsatellites, (iii) detect QTLs related to yield component traits, and (iv) perform annotation of the sequences that originated the associated markers with mapped QTLs to search putative candidate genes. RESULTS We used four pseudo-references to align the GBS reads. Depending on the reference, from 3,433 to 15,906 high-quality markers were discovered, and half of them segregated as single-dose markers (SDMs) on average. In addition to 7,049 non-redundant SDMs from GBS, 629 gel-based markers were used in a subsequent linkage analysis. Of 7,678 SDMs, 993 were mapped. These markers were distributed throughout 223 linkage groups, which were clustered in 18 homo(eo)logous groups (HGs), with a cumulative map length of 3,682.04 cM and an average marker density of 3.70 cM. We performed QTL mapping of four traits and found seven QTLs. Our results suggest the presence of a stable QTL across locations. Furthermore, QTLs to soluble solid content (BRIX) and fiber content (FIB) traits had markers linked to putative candidate genes. CONCLUSIONS This study is the first to report the use of GBS for large-scale variant discovery and genotyping of a mapping population in sugarcane, providing several insights regarding the use of NGS data in a polyploid, non-model species. The use of GBS generated a large number of markers and still enabled ploidy and allelic dosage estimation. Moreover, we were able to identify seven QTLs, two of which had great potential for validation and future use for molecular breeding in sugarcane.
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Affiliation(s)
- Thiago Willian Almeida Balsalobre
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Guilherme da Silva Pereira
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Gabriel Rodrigues Alves Margarido
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Rodrigo Gazaffi
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Fernanda Zatti Barreto
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Carina Oliveira Anoni
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Cláudio Benício Cardoso-Silva
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Estela Araújo Costa
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Melina Cristina Mancini
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Hermann Paulo Hoffmann
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Anete Pereira de Souza
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Antonio Augusto Franco Garcia
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Monalisa Sampaio Carneiro
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
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Kovi MR, Fjellheim S, Sandve SR, Larsen A, Rudi H, Asp T, Kent MP, Rognli OA. Population Structure, Genetic Variation, and Linkage Disequilibrium in Perennial Ryegrass Populations Divergently Selected for Freezing Tolerance. FRONTIERS IN PLANT SCIENCE 2015; 6:929. [PMID: 26617611 PMCID: PMC4641910 DOI: 10.3389/fpls.2015.00929] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 10/15/2015] [Indexed: 05/15/2023]
Abstract
Low temperature is one of the abiotic stresses seriously affecting the growth of perennial ryegrass (Lolium perenne L.), and freezing tolerance is a complex trait of major agronomical importance in northern and central Europe. Understanding the genetic control of freezing tolerance would aid in the development of cultivars of perennial ryegrass with improved adaptation to frost. The plant material investigated in this study was an experimental synthetic population derived from pair-crosses among five European perennial ryegrass genotypes, representing adaptations to a range of climatic conditions across Europe. A total number of 80 individuals (24 of High frost [HF]; 29 of Low frost [LF], and 27 of Unselected [US]) from the second generation of the two divergently selected populations and an unselected (US) control population were genotyped using 278 genome-wide SNPs derived from perennial ryegrass transcriptome sequences. Our studies investigated the genetic diversity among the three experimental populations by analysis of molecular variance and population structure, and determined that the HF and LF populations are very divergent after selection for freezing tolerance, whereas the HF and US populations are more similar. Linkage disequilibrium (LD) decay varied across the seven chromosomes and the conspicuous pattern of LD between the HF and LF population confirmed their divergence in freezing tolerance. Furthermore, two F st outlier methods; finite island model (fdist) by LOSITAN and hierarchical structure model using ARLEQUIN, both detected six loci under directional selection. These outlier loci are most probably linked to genes involved in freezing tolerance, cold adaptation, and abiotic stress. These six candidate loci under directional selection for freezing tolerance might be potential marker resources for breeding perennial ryegrass cultivars with improved freezing tolerance.
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Affiliation(s)
- Mallikarjuna Rao Kovi
- Department of Plant Sciences, Centre for Integrative Genetics, Norwegian University of Life SciencesÅs, Norway
| | - Siri Fjellheim
- Department of Plant Sciences, Centre for Integrative Genetics, Norwegian University of Life SciencesÅs, Norway
| | - Simen R. Sandve
- Department of Plant Sciences, Centre for Integrative Genetics, Norwegian University of Life SciencesÅs, Norway
- Department of Animal and Aquacultural Sciences, Centre for Integrative Genetics, Norwegian University of Life SciencesÅs, Norway
| | | | - Heidi Rudi
- Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life SciencesÅs, Norway
| | - Torben Asp
- Department of Molecular Biology and Genetics, Aarhus UniversitySlagelse, Denmark
| | - Matthew Peter Kent
- Department of Animal and Aquacultural Sciences, Centre for Integrative Genetics, Norwegian University of Life SciencesÅs, Norway
| | - Odd Arne Rognli
- Department of Plant Sciences, Centre for Integrative Genetics, Norwegian University of Life SciencesÅs, Norway
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Garcia AAF, Mollinari M, Marconi TG, Serang OR, Silva RR, Vieira MLC, Vicentini R, Costa EA, Mancini MC, Garcia MOS, Pastina MM, Gazaffi R, Martins ERF, Dahmer N, Sforça DA, Silva CBC, Bundock P, Henry RJ, Souza GM, van Sluys MA, Landell MGA, Carneiro MS, Vincentz MAG, Pinto LR, Vencovsky R, Souza AP. SNP genotyping allows an in-depth characterisation of the genome of sugarcane and other complex autopolyploids. Sci Rep 2013; 3:3399. [PMID: 24292365 PMCID: PMC3844970 DOI: 10.1038/srep03399] [Citation(s) in RCA: 94] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2013] [Accepted: 11/15/2013] [Indexed: 12/12/2022] Open
Abstract
Many plant species of great economic value (e.g., potato, wheat, cotton, and sugarcane) are polyploids. Despite the essential roles of autopolyploid plants in human activities, our genetic understanding of these species is still poor. Recent progress in instrumentation and biochemical manipulation has led to the accumulation of an incredible amount of genomic data. In this study, we demonstrate for the first time a successful genetic analysis in a highly polyploid genome (sugarcane) by the quantitative analysis of single-nucleotide polymorphism (SNP) allelic dosage and the application of a new data analysis framework. This study provides a better understanding of autopolyploid genomic structure and is a sound basis for genetic studies. The proposed methods can be employed to analyse the genome of any autopolyploid and will permit the future development of high-quality genetic maps to assist in the assembly of reference genome sequences for polyploid species.
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Affiliation(s)
- Antonio A F Garcia
- 1] Departamento de Genética, Escola Superior de Agricultura "Luiz de Queiroz" Universidade de São Paulo, Brazil [2]
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