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Schulz D, Linde M, Debener T. Robust markers associated with floral traits in roses are suitable for marker-assisted selection across gene pools. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:90. [PMID: 38077450 PMCID: PMC10709285 DOI: 10.1007/s11032-023-01438-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/30/2023] [Indexed: 12/30/2023]
Abstract
We investigated the potential of markers associated with floral traits for parental selection in a cut rose breeding program. We analysed six Kompetitive Allele Specific PCR (KASP) markers for three important floral traits, petal length, petal number and scent, derived from experiments in a garden rose population. The six markers were applied to genotype a collection of 384 parental genotypes used for commercial cut rose breeding. We phenotyped a selection of progeny derived from pairs of parents having either high or low dosages of (contrasting) marker alleles associated with these traits. Significant differences were found between the contrasting progeny groups for each of the traits, although parents with the optimal allele dosage combinations could not always be used for the crosses. This not only supports the robustness of these marker‒trait associations but also demonstrates their potential for commercial rose breeding. It also demonstrates the use of marker information generated in garden rose populations for cut rose breeding. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01438-5.
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Affiliation(s)
- Dietmar Schulz
- Institute of Plant Genetics, Molecular Plant Breeding Section, Leibniz University Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany
- Bundesamt Für Verbraucherschutz Und Lebensmittelsicherheit, Referat 231/Abteilung 2, Bundesallee 51, 38116 Brunswick, Germany
| | - Marcus Linde
- Institute of Plant Genetics, Molecular Plant Breeding Section, Leibniz University Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany
| | - Thomas Debener
- Institute of Plant Genetics, Molecular Plant Breeding Section, Leibniz University Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany
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Čmejlová J, Paprštein F, Suran P, Zelený L, Čmejla R. A New One-Tube Reaction Assay for the Universal Determination of Sweet Cherry ( Prunus avium L.) Self-(In)Compatible MGST- and S-Alleles Using Capillary Fragment Analysis. Int J Mol Sci 2023; 24:ijms24086931. [PMID: 37108095 PMCID: PMC10139232 DOI: 10.3390/ijms24086931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
The sweet cherry plant (Prunus avium L.) is primarily self-incompatible, with so-called S-alleles responsible for the inability of flowers to be pollinated not only by their own pollen grains but also by pollen from other cherries having the same S-alleles. This characteristic has wide-ranging impacts on commercial growing, harvesting, and breeding. However, mutations in S-alleles as well as changes in the expression of M locus-encoded glutathione-S-transferase (MGST) can lead to complete or partial self-compatibility, simplifying orchard management and reducing possible crop losses. Knowledge of S-alleles is important for growers and breeders, but current determination methods are challenging, requiring several PCR runs. Here we present a system for the identification of multiple S-alleles and MGST promoter variants in one-tube PCR, with subsequent fragment analysis on a capillary genetic analyzer. The assay was shown to unequivocally determine three MGST alleles, 14 self-incompatible S-alleles, and all three known self-compatible S-alleles (S3', S4', S5') in 55 combinations tested, and thus it is especially suitable for routine S-allele diagnostics and molecular marker-assisted breeding for self-compatible sweet cherries. In addition, we identified a previously unknown S-allele in the 'Techlovicka´ genotype (S54) and a new variant of the MGST promoter with an 8-bp deletion in the ´Kronio´ cultivar.
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Affiliation(s)
- Jana Čmejlová
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, 508 01 Hořice, Czech Republic
| | - František Paprštein
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, 508 01 Hořice, Czech Republic
| | - Pavol Suran
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, 508 01 Hořice, Czech Republic
| | - Lubor Zelený
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, 508 01 Hořice, Czech Republic
| | - Radek Čmejla
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, 508 01 Hořice, Czech Republic
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Yu S, Liu Z, Li M, Zhou D, Hua P, Cheng H, Fan W, Xu Y, Liu D, Liang S, Zhang Y, Xie M, Tang J, Jiang Y, Hou S, Zhou Z. Resequencing of a Pekin duck breeding population provides insights into the genomic response to short-term artificial selection. Gigascience 2023; 12:giad016. [PMID: 36971291 PMCID: PMC10041536 DOI: 10.1093/gigascience/giad016] [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: 09/29/2022] [Revised: 02/04/2023] [Accepted: 02/27/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Short-term, intense artificial selection drives fast phenotypic changes in domestic animals and leaves imprints on their genomes. However, the genetic basis of this selection response is poorly understood. To better address this, we employed the Pekin duck Z2 pure line, in which the breast muscle weight was increased nearly 3-fold after 10 generations of breeding. We denovo assembled a high-quality reference genome of a female Pekin duck of this line (GCA_003850225.1) and identified 8.60 million genetic variants in 119 individuals among 10 generations of the breeding population. RESULTS We identified 53 selected regions between the first and tenth generations, and 93.8% of the identified variations were enriched in regulatory and noncoding regions. Integrating the selection signatures and genome-wide association approach, we found that 2 regions covering 0.36 Mb containing UTP25 and FBRSL1 were most likely to contribute to breast muscle weight improvement. The major allele frequencies of these 2 loci increased gradually with each generation following the same trend. Additionally, we found that a copy number variation region containing the entire EXOC4 gene could explain 1.9% of the variance in breast muscle weight, indicating that the nervous system may play a role in economic trait improvement. CONCLUSIONS Our study not only provides insights into genomic dynamics under intense artificial selection but also provides resources for genomics-enabled improvements in duck breeding.
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Affiliation(s)
- Simeng Yu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zihua Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ming Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Dongke Zhou
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ping Hua
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Hong Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Wenlei Fan
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yaxi Xu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Dapeng Liu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Suyun Liang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yunsheng Zhang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ming Xie
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jing Tang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Shuisheng Hou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhengkui Zhou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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Schaller A, Vanderzande S, Peace C. Deducing genotypes for loci of interest from SNP array data via haplotype sharing, demonstrated for apple and cherry. PLoS One 2023; 18:e0272888. [PMID: 36749762 PMCID: PMC9904487 DOI: 10.1371/journal.pone.0272888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 01/24/2023] [Indexed: 02/08/2023] Open
Abstract
Breeders, collection curators, and other germplasm users require genetic information, both genome-wide and locus-specific, to effectively manage their genetically diverse plant material. SNP arrays have become the preferred platform to provide genome-wide genetic profiles for elite germplasm and could also provide locus-specific genotypic information. However, genotypic information for loci of interest such as those within PCR-based DNA fingerprinting panels and trait-predictive DNA tests is not readily extracted from SNP array data, thus creating a disconnect between historic and new data sets. This study aimed to establish a method for deducing genotypes at loci of interest from their associated SNP haplotypes, demonstrated for two fruit crops and three locus types: quantitative trait loci Ma and Ma3 for acidity in apple, apple fingerprinting microsatellite marker GD12, and Mendelian trait locus Rf for sweet cherry fruit color. Using phased data from an apple 8K SNP array and sweet cherry 6K SNP array, unique haplotypes spanning each target locus were associated with alleles of important breeding parents. These haplotypes were compared via identity-by-descent (IBD) or identity-by-state (IBS) to haplotypes present in germplasm important to U.S. apple and cherry breeding programs to deduce target locus alleles in this germplasm. While IBD segments were confidently tracked through pedigrees, confidence in allele identity among IBS segments used a shared length threshold. At least one allele per locus was deduced for 64-93% of the 181 individuals. Successful validation compared deduced Rf and GD12 genotypes with reported and newly obtained genotypes. Our approach can efficiently merge and expand genotypic data sets, deducing missing data and identifying errors, and is appropriate for any crop with SNP array data and historic genotypic data sets, especially where linkage disequilibrium is high. Locus-specific genotypic information extracted from genome-wide SNP data is expected to enhance confidence in management of genetic resources.
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Affiliation(s)
- Alexander Schaller
- Department of Horticulture, Washington State University, Pullman, WA, United States of America
| | - Stijn Vanderzande
- Department of Horticulture, Washington State University, Pullman, WA, United States of America
| | - Cameron Peace
- Department of Horticulture, Washington State University, Pullman, WA, United States of America
- * E-mail:
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Ppe.CR.1 DNA test for predicting chilling requirement in peach. Sci Rep 2023; 13:987. [PMID: 36653395 PMCID: PMC9849201 DOI: 10.1038/s41598-023-27475-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 01/03/2023] [Indexed: 01/19/2023] Open
Abstract
Chilling requirement (CR) is an important agronomic trait controlling the floral bud break for proper flowering in peach. Even though it has been widely researched and several peach CR quantitative trait loci (QTLs) have been identified, no diagnostic DNA tests validated in the U.S. peach breeding germplasm are available for this trait. Breeders and growers need a simple DNA test to predict the CR of peach cultivars for their particular environment. Therefore, we developed a quick and reliable Kompetitive Allele Specific PCR (KASP) DNA test using haplotype information from 9K IPSC genotype data of the U.S. peach germplasm integrating four CR-associated SNP markers from the previously reported CR QTL region on linkage group 1. Four KASP assays (Ppe.CR.1-1 to -4) were developed and validated on 77 peach cultivars, and nine accessions from two F2 populations, with 96 and 74% accuracy in determining expected CR genotype (compared to SNP array) and predicting phenotype, respectively. Furthermore, the Ppe.CR.1 showed 80% accuracy in predicting the precise CR phenotype in the Clemson University peach breeding material. Only one Ppe.CR.1 KASP assay (Ppe.CR.1-1) is needed to distinguish between haplotypes with CR lower and higher than 800 chilling hours, and two Ppe.CR.1 assays (Pp.CR.1-1 and -4), are capable of distinguishing low, moderate, and high CR alleles. Coupled with the crude DNA extraction, the Ppe.CR.1 DNA test provides a low-cost option for breeders and growers to predict CR in peach material with more than 70% accuracy.
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Zaracho N, Reig G, Kalluri N, Arús P, Eduardo I. Inheritance of Fruit Red-Flesh Patterns in Peach. PLANTS (BASEL, SWITZERLAND) 2023; 12:plants12020394. [PMID: 36679108 PMCID: PMC9862646 DOI: 10.3390/plants12020394] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 06/01/2023]
Abstract
Fruit color is an important trait in peach from the point of view of consumer preference, nutritional content, and diversification of fruit typologies. Several genes and phenotypes have been described for peach flesh and skin color, and although peach color knowledge has increased in the last few years, some fruit color patterns observed in peach breeding programs have not been carefully described. In this work, we first describe some peach mesocarp color patterns that have not yet been described in a collection of commercial peach cultivars, and we also study the genetic inheritance of the red dots present in the flesh (RDF) and red color around the stone (CAS) in several intra- and interspecific segregating populations for both traits. For RDF, we identified a QTL at the beginning of G5 in two intraspecific populations, and for CAS we identified a major QTL in G4 in both an intraspecific and an interspecific population between almond and peach. Finally, we discuss the interaction between these QTLs and some other genes previously identified in peach, such as dominant blood flesh (DBF), color around the stone (Cs), subacid (D) and the maturity date (MD), and the implications for peach breeding. The results obtained here will help peach germplasm curators and breeders to better characterize their plant materials and to develop an integrated system of molecular markers to select these traits.
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Affiliation(s)
- Nathalia Zaracho
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
| | - Gemma Reig
- Institut de Recerca i Tecnologia Agroalimentaria (IRTA) Fruitcentre, Programa Fructicultura, PCiTAL, Parc Gardeny, 25003 Lleida, Spain
| | - Naveen Kalluri
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
| | - Pere Arús
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentaria (IRTA), Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
| | - Iban Eduardo
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentaria (IRTA), Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
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Khan A, Korban SS. Breeding and genetics of disease resistance in temperate fruit trees: challenges and new opportunities. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3961-3985. [PMID: 35441862 DOI: 10.1007/s00122-022-04093-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/29/2022] [Indexed: 06/14/2023]
Abstract
Climate change, large monocultures of disease-susceptible cultivars, overuse of pesticides, and the emergence of new pathogens or pathogenic strains causing economic losses are all major threats to our environment, health, food, and nutritional supply. Temperate tree fruit crops belonging to the Rosaceae family are the most economically important and widely grown fruit crops. These long-lived crops are under attack from many different pathogens, incurring major economic losses. Multiple chemical sprays to control various diseases annually is a common practice, resulting in significant input costs, as well as environmental and health concerns. Breeding for disease resistance has been undertaken primarily in pome fruit crops (apples and pears) for a few fungal and bacterial diseases, and to a lesser extent in some stone fruit crops. These breeding efforts have taken multiple decades due to the biological constraints and complex genetics of these tree fruit crops. Over the past couple of decades, major advances have been made in genetic and physical mapping, genomics, biotechnology, genome sequencing, and phenomics, along with accumulation of large germplasm collections in repositories. These valuable resources offer opportunities to make significant advances in greatly reducing the time needed to either develop new cultivars or modify existing economic cultivars for enhanced resistance to multiple diseases. This review will cover current knowledge, challenges, and opportunities in breeding for disease resistance in temperate tree fruit crops.
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Affiliation(s)
- Awais Khan
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, NY, 14456, USA.
| | - Schuyler S Korban
- Department of Natural Sciences and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
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Holušová K, Čmejlová J, Suran P, Čmejla R, Sedlák J, Zelený L, Bartoš J. High-resolution genome-wide association study of a large Czech collection of sweet cherry ( Prunus avium L.) on fruit maturity and quality traits. HORTICULTURE RESEARCH 2022; 10:uhac233. [PMID: 36643756 PMCID: PMC9832837 DOI: 10.1093/hr/uhac233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 10/10/2022] [Indexed: 06/17/2023]
Abstract
In sweet cherry (Prunus avium L.), quantitative trait loci have been identified for fruit maturity, colour, firmness, and size to develop markers for marker-assisted selection. However, resolution is usually too low in those analyses to directly target candidate genes, and some associations are missed. In contrast, genome-wide association studies are performed on broad collections of accessions, and assemblies of reference sequences from Tieton and Satonishiki cultivars enable identification of single nucleotide polymorphisms after whole-genome sequencing, providing high marker density. Two hundred and thirty-five sweet cherry accessions were sequenced and phenotyped for harvest time and fruit colour, firmness, and size. Genome-wide association studies were used to identify single nucleotide polymorphisms associated with each trait, which were verified in breeding material consisting of 64 additional accessions. A total of 1 767 106 single nucleotide polymorphisms were identified. At that density, significant single nucleotide polymorphisms could be linked to co-inherited haplotype blocks (median size ~10 kb). Thus, markers were tightly associated with respective phenotypes, and individual allelic combinations of particular single nucleotide polymorphisms provided links to distinct phenotypes. In addition, yellow-fruit accessions were sequenced, and a ~ 90-kb-deletion on chromosome 3 that included five MYB10 transcription factors was associated with the phenotype. Overall, the study confirmed numerous quantitative trait loci from bi-parental populations using high-diversity accession populations, identified novel associations, and genome-wide association studies reduced the size of trait-associated loci from megabases to kilobases and to a few candidate genes per locus. Thus, a framework is provided to develop molecular markers and evaluate and characterize genes underlying important agronomic traits.
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Affiliation(s)
- Kateřina Holušová
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, Olomouc, 779 00, Czech Republic
| | - Jana Čmejlová
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, Holovousy, 508 01, Czech Republic
| | - Pavol Suran
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, Holovousy, 508 01, Czech Republic
| | - Radek Čmejla
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, Holovousy, 508 01, Czech Republic
| | - Jiří Sedlák
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, Holovousy, 508 01, Czech Republic
| | - Lubor Zelený
- Research and Breeding Institute of Pomology Holovousy Ltd., Holovousy 129, Holovousy, 508 01, Czech Republic
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Hardner CM, Fikere M, Gasic K, da Silva Linge C, Worthington M, Byrne D, Rawandoozi Z, Peace C. Multi-environment genomic prediction for soluble solids content in peach ( Prunus persica). FRONTIERS IN PLANT SCIENCE 2022; 13:960449. [PMID: 36275520 PMCID: PMC9583944 DOI: 10.3389/fpls.2022.960449] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/01/2022] [Indexed: 06/16/2023]
Abstract
Genotype-by-environment interaction (G × E) is a common phenomenon influencing genetic improvement in plants, and a good understanding of this phenomenon is important for breeding and cultivar deployment strategies. However, there is little information on G × E in horticultural tree crops, mostly due to evaluation costs, leading to a focus on the development and deployment of locally adapted germplasm. Using sweetness (measured as soluble solids content, SSC) in peach/nectarine assessed at four trials from three US peach-breeding programs as a case study, we evaluated the hypotheses that (i) complex data from multiple breeding programs can be connected using GBLUP models to improve the knowledge of G × E for breeding and deployment and (ii) accounting for a known large-effect quantitative trait locus (QTL) improves the prediction accuracy. Following a structured strategy using univariate and multivariate models containing additive and dominance genomic effects on SSC, a model that included a previously detected QTL and background genomic effects was a significantly better fit than a genome-wide model with completely anonymous markers. Estimates of an individual's narrow-sense and broad-sense heritability for SSC were high (0.57-0.73 and 0.66-0.80, respectively), with 19-32% of total genomic variance explained by the QTL. Genome-wide dominance effects and QTL effects were stable across environments. Significant G × E was detected for background genome effects, mostly due to the low correlation of these effects across seasons within a particular trial. The expected prediction accuracy, estimated from the linear model, was higher than the realised prediction accuracy estimated by cross-validation, suggesting that these two parameters measure different qualities of the prediction models. While prediction accuracy was improved in some cases by combining data across trials, particularly when phenotypic data for untested individuals were available from other trials, this improvement was not consistent. This study confirms that complex data can be combined into a single analysis using GBLUP methods to improve understanding of G × E and also incorporate known QTL effects. In addition, the study generated baseline information to account for population structure in genomic prediction models in horticultural crop improvement.
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Affiliation(s)
- Craig M. Hardner
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Mulusew Fikere
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Ksenija Gasic
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
| | - Cassia da Silva Linge
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
| | - Margaret Worthington
- Faculty Horticulture, University of Arkansas System Division of Agriculture, Fayetteville, AR, United States
| | - David Byrne
- College of Agriculture and Life Sciences, Texas A&M University, College Station, TX, United States
| | - Zena Rawandoozi
- College of Agriculture and Life Sciences, Texas A&M University, College Station, TX, United States
| | - Cameron Peace
- Department of Horticulture, Washington State University, Pullman, WA, United States
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Ppe.XapF: High throughput KASP assays to identify fruit response to Xanthomonas arboricola pv. pruni (Xap) in peach. PLoS One 2022; 17:e0264543. [PMID: 35213640 PMCID: PMC8880879 DOI: 10.1371/journal.pone.0264543] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/13/2022] [Indexed: 11/21/2022] Open
Abstract
Bacterial spot, caused by Xanthomonas arboricola pv. pruni (Xap), is a serious peach disease with symptoms that traverse severe defoliation and black surface pitting, cracking or blemishes on peach fruit with global economic impacts. A management option for control and meeting consumer demand for chemical-free, environmentally friendly fruit production is the development of resistant or tolerant cultivars. We developed simple, accurate, and efficient DNA assays (Ppe.XapF) based on SNP genotyping with KASP technology to quickly test for bacterial spot resistance alleles in peach fruit that allows breeders to cull seedlings at the greenhouse stage. The objective of this research was to validate newly developed DNA tests that target the two major QTLs for fruit resistance in peach with diagnostic utility in predicting fruit response to bacterial spot infection. Our study confirms that with only two Ppe.XapF DNA tests, Ppe.XapF1-1 and Ppe.XapF6-2, individuals carrying susceptible alleles can be identified. Use of these efficient and accurate Ppe.XapF KASP tests resulted in 44% reduction in seedling planting rate in the Clemson University peach breeding program.
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Development and Cross-Species Transferability of Novel Genomic-SSR Markers and Their Utility in Hybrid Identification and Trait Association Analysis in Chinese Cherry. HORTICULTURAE 2022. [DOI: 10.3390/horticulturae8030222] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Chinese cherry (Cerasus pseudocerasus (Lindl.) G.Don) is an economically important tetraploid fruiting cherry species native to China. Simple sequence repeats (SSRs)—due to their codominance, polymorphism, and stability—have been widely applied in genetic identification and trait-association analysis. In this study, using comparative genomics strategy and the data of one high-quality whole genome and seven preliminarily assembled genome sequences, we constructed a database containing 25,779 polymorphic SSR loci to efficiently develop novel markers. Sixty-four SSR loci covering eight linkage groups were selected to design primer pairs. Sixty (93.75%) primer pairs yielded specific bands and 32 (50.00%) exhibited moderate-to-high levels of informativeness (PIC ranging from 0.264 to 0.728) in 94 Chinese cherry accessions. A total of 38 primer pairs exhibited high transferability across 13 Cerasus taxa. The marker SAUCps203 was species-specific in C. pseudocerasus by checking with 114 accessions from Cerasus and 16 relatives, suggesting its potential application in accurate identification of Chinese cherry or its interspecific hybrid. Moreover, 1081 out of 1122 individuals from three cross F1 populations of Chinese cherry were identified as true hybrid offspring by using only five SSR markers. Trait association analysis suggested that 20 SSR loci were significantly associated with soluble solids and fruit size, with explained phenotypic variance ranging from 9.02% to 26.35%. This study will provide a basis for SSR-based germplasm identification and further marker-assisted selection (MAS) of Chinese cherry.
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Crump WW, Peace C, Zhang Z, McCord P. Detection of Breeding-Relevant Fruit Cracking and Fruit Firmness Quantitative Trait Loci in Sweet Cherry via Pedigree-Based and Genome-Wide Association Approaches. FRONTIERS IN PLANT SCIENCE 2022; 13:823250. [PMID: 35310633 PMCID: PMC8924583 DOI: 10.3389/fpls.2022.823250] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 01/28/2022] [Indexed: 06/14/2023]
Abstract
Breeding for decreased fruit cracking incidence and increased fruit firmness in sweet cherry creates an attractive alternative to variable results from cultural management practices. DNA-informed breeding increases its efficiency, yet upstream research is needed to identify the genomic regions associated with the trait variation of a breeding-relevant magnitude, as well as to identify the parental sources of favorable alleles. The objectives of this research were to identify the quantitative trait loci (QTLs) associated with fruit cracking incidence and firmness, estimate the effects of single nucleotide polymorphism (SNP) haplotypes at the detected QTLs, and identify the ancestral source(s) of functional haplotypes. Fruit cracking incidence and firmness were evaluated for multiple years on 259 unselected seedlings representing 22 important breeding parents. Phenotypic data, in conjunction with genome-wide genotypic data from the RosBREED cherry 6K SNP array, were used in the QTL analysis performed via Pedigree-Based Analysis using the FlexQTL™ software, supplemented by a Genome-Wide Association Study using the BLINK software. Haplotype analysis was conducted on the QTLs to identify the functional SNP haplotypes and estimate their phenotypic effects, and the haplotypes were tracked through the pedigree. Four QTLs (two per trait) were consistent across the years and/or both analysis methods and validated the previously reported QTLs. qCrack-LG1.1m (the label given to a consistent QTL for cracking incidence on chromosome 1) explained 2-15.1% of the phenotypic variance, while qCrack-LG5.1m, qFirm-LG1.2m, and qFirm-LG3.2m explained 7.6-13.8, 8.8-21.8, and 1.7-10.1% of the phenotypic variance, respectively. At each QTL, at least two SNP haplotypes had significant effects and were considered putative functional SNP haplotypes. Putative low-cracking SNP haplotypes were tracked to an unnamed parent of 'Emperor Francis' and 'Schmidt' and unnamed parents of 'Napoleon' and 'Hedelfingen,' among others, and putative high-firmness haplotypes were tracked to an unnamed parent of 'Emperor Francis' and 'Schmidt,' an unnamed grandparent of 'Black Republican,' 'Rube,' and an unknown parent of 'Napoleon.' These four stable QTLs can now be targeted for DNA test development, with the goal of translating information discovered here into usable tools to aid in breeding decisions.
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Affiliation(s)
- William Wesley Crump
- Department of Horticulture, Washington State University, Prosser, WA, United States
| | - Cameron Peace
- Department of Horticulture, Washington State University, Pullman, WA, United States
| | - Zhiwu Zhang
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
| | - Per McCord
- Department of Horticulture, Washington State University, Prosser, WA, United States
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James T, Johnson A, Schaller A, Vanderzande S, Luo F, Sandefur P, Ru S, Peace C. As It Stands: The Palouse Wild Cider Apple Breeding Program. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11040517. [PMID: 35214849 PMCID: PMC8877849 DOI: 10.3390/plants11040517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/09/2022] [Accepted: 02/11/2022] [Indexed: 05/10/2023]
Abstract
Providing hands-on education for the next generation of plant breeders would help maximize effectiveness of future breeding efforts. Such education should include training in introgression of crop wild relative alleles, which can increase genetic diversity while providing cultivar attributes that meet industry and consumer demands in a crop such as cider apple. Incorporation of DNA information in breeding decisions has become more common and is another skill future plant breeders need. The Palouse Wild Cider apple breeding program (PWCabp) was established at Washington State University in early 2014 as a student-run experiential learning opportunity. The objectives of this study were to describe the PWCabp's approaches, outcomes, and student involvement to date that has relied on a systematic operational structure, utilization of wild relatives, and incorporation of DNA information. Students chose the crop (cider apple) and initial target market and stakeholders (backyard growers and hobbyists of the Palouse region). Twelve target attributes were defined including high phenolics and red flesh. Phase one and two field trials were established. Two promising high-bitterness selections were identified and propagated. By running the PWCabp, more than 20 undergraduate and graduate students gained experience in the decisions and operations of a fruit breeding program. PWCabp activities have produced desirable new germplasm via utilization of highly diverse Malus germplasm and trained new plant breeding professionals via experiential learning.
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Affiliation(s)
- Tymon James
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (T.J.); (A.J.); (S.V.)
| | - Alexandra Johnson
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (T.J.); (A.J.); (S.V.)
| | - Alexander Schaller
- Department of Environmental Horticulture, University of Florida, Gainesville, FL 32611, USA;
| | - Stijn Vanderzande
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (T.J.); (A.J.); (S.V.)
| | - Feixiong Luo
- Department of Pomology, Hunan Agricultural University, Changsha 410128, China;
| | - Paul Sandefur
- Fall Creek Farm and Nursery, Inc., Lowell, OR 97452, USA;
| | - Sushan Ru
- Department of Horticulture, Auburn University, Auburn, AL 36849, USA;
| | - Cameron Peace
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (T.J.); (A.J.); (S.V.)
- Correspondence:
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14
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Li J, Zhang M, Li X, Khan A, Kumar S, Allan AC, Lin-Wang K, Espley RV, Wang C, Wang R, Xue C, Yao G, Qin M, Sun M, Tegtmeier R, Liu H, Wei W, Ming M, Zhang S, Zhao K, Song B, Ni J, An J, Korban SS, Wu J. Pear genetics: Recent advances, new prospects, and a roadmap for the future. HORTICULTURE RESEARCH 2022; 9:uhab040. [PMID: 35031796 PMCID: PMC8778596 DOI: 10.1093/hr/uhab040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/23/2021] [Accepted: 08/25/2021] [Indexed: 06/14/2023]
Abstract
Pear, belonging to the genus Pyrus, is one of the most economically important temperate fruit crops. Pyrus is an important genus of the Rosaceae family, subfamily Maloideae, and has at least 22 different species with over 5000 accessions maintained or identified worldwide. With the release of draft whole-genome sequences for Pyrus, opportunities for pursuing studies on the evolution, domestication, and molecular breeding of pear, as well as for conducting comparative genomics analyses within the Rosaceae family, have been greatly expanded. In this review, we highlight key advances in pear genetics, genomics, and breeding driven by the availability of whole-genome sequences, including whole-genome resequencing efforts, pear domestication, and evolution. We cover updates on new resources for undertaking gene identification and molecular breeding, as well as for pursuing functional validation of genes associated with desirable economic traits. We also explore future directions for "pear-omics".
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Affiliation(s)
- Jiaming Li
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Mingyue Zhang
- State Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai-An, Shandong 271018, China
| | - Xiaolong Li
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Awais Khan
- Plant Pathology & Plant-Microbe Biology Section, Cornell University, Geneva, NY 14456, USA
| | - Satish Kumar
- Hawke’s Bay Research Centre, The New Zealand Institute for Plant and Food Research Limited, Havelock North 4157, New Zealand
| | - Andrew Charles Allan
- The New Zealand Institute for Plant and Food Research Limited, Auckland 1142, New Zealand
| | - Kui Lin-Wang
- The New Zealand Institute for Plant and Food Research Limited, Auckland 1142, New Zealand
| | - Richard Victor Espley
- The New Zealand Institute for Plant and Food Research Limited, Auckland 1142, New Zealand
| | - Caihong Wang
- College of Horticulture, Qingdao Agricultural University, Qingdao, 266109, China
| | - Runze Wang
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Cheng Xue
- State Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai-An, Shandong 271018, China
| | - Gaifang Yao
- School of Food and Biological Engineering, Hefei University of Technology, 230009 Hefei, China
| | - Mengfan Qin
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Manyi Sun
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Richard Tegtmeier
- Plant Pathology & Plant-Microbe Biology Section, Cornell University, Geneva, NY 14456, USA
| | - Hainan Liu
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Weilin Wei
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Meiling Ming
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Shaoling Zhang
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Kejiao Zhao
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Bobo Song
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Jiangping Ni
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Jianping An
- State Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai-An, Shandong 271018, China
| | - Schuyler S Korban
- Department of Natural Resources & Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Jun Wu
- Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
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15
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Quero-García J, Letourmy P, Campoy JA, Branchereau C, Malchev S, Barreneche T, Dirlewanger E. Multi-year analyses on three populations reveal the first stable QTLs for tolerance to rain-induced fruit cracking in sweet cherry (Prunus avium L.). HORTICULTURE RESEARCH 2021; 8:136. [PMID: 34059661 PMCID: PMC8166915 DOI: 10.1038/s41438-021-00571-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 04/16/2021] [Accepted: 04/26/2021] [Indexed: 06/01/2023]
Abstract
Rain-induced fruit cracking is a major problem in sweet cherry cultivation. Basic research has been conducted to disentangle the physiological and mechanistic bases of this complex phenomenon, whereas genetic studies have lagged behind. The objective of this work was to disentangle the genetic determinism of rain-induced fruit cracking. We hypothesized that a large genetic variation would be revealed, by visual field observations conducted on mapping populations derived from well-contrasted cultivars for cracking tolerance. Three populations were evaluated over 7-8 years by estimating the proportion of cracked fruits for each genotype at maturity, at three different areas of the sweet cherry fruit: pistillar end, stem end, and fruit side. An original approach was adopted to integrate, within simple linear models, covariates potentially related to cracking, such as rainfall accumulation before harvest, fruit weight, and firmness. We found the first stable quantitative trait loci (QTLs) for cherry fruit cracking, explaining percentages of phenotypic variance above 20%, for each of these three types of cracking tolerance, in different linkage groups, confirming the high complexity of this trait. For these and other QTLs, further analyses suggested the existence of at least two-linked QTLs in each linkage group, some of which showed confidence intervals close to 5 cM. These promising results open the possibility of developing marker-assisted selection strategies to select cracking-tolerant sweet cherry cultivars. Further studies are needed to confirm the stability of the reported QTLs over different genetic backgrounds and environments and to narrow down the QTL confidence intervals, allowing the exploration of underlying candidate genes.
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Affiliation(s)
- José Quero-García
- INRAE, Biologie du Fruit et Pathologie, Université de Bordeaux, UMR 1332, F-33140, Villenave d'Ornon, France.
| | - Philippe Letourmy
- CIRAD, UPR AIDA, University of Montpellier, TA B-115/02, Avenue Agropolis, 34398, Montpellier Cedex 5, France
| | - José Antonio Campoy
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg, 50289, Cologne, Germany
| | - Camille Branchereau
- INRAE, Biologie du Fruit et Pathologie, Université de Bordeaux, UMR 1332, F-33140, Villenave d'Ornon, France
| | - Svetoslav Malchev
- Fruit Growing Institute - Plovdiv, 12 Ostromila Str., 4004, Plovdiv, Bulgaria
| | - Teresa Barreneche
- INRAE, Biologie du Fruit et Pathologie, Université de Bordeaux, UMR 1332, F-33140, Villenave d'Ornon, France
| | - Elisabeth Dirlewanger
- INRAE, Biologie du Fruit et Pathologie, Université de Bordeaux, UMR 1332, F-33140, Villenave d'Ornon, France
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16
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Li P, Su T, Zhao X, Wang W, Zhang D, Yu Y, Bayer PE, Edwards D, Yu S, Zhang F. Assembly of the non-heading pak choi genome and comparison with the genomes of heading Chinese cabbage and the oilseed yellow sarson. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:966-976. [PMID: 33283404 PMCID: PMC8131043 DOI: 10.1111/pbi.13522] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 11/11/2020] [Accepted: 12/01/2020] [Indexed: 05/10/2023]
Abstract
Brassica rapa displays a wide range of morphological diversity which is exploited for a variety of food crops. Here we present a high-quality genome assembly for pak choi (Brassica rapa L. subsp. chinensis), an important non-heading leafy vegetable, and comparison with the genomes of heading type Chinese cabbage and the oilseed form, yellow sarson. Gene presence-absence variation (PAV) and genomic structural variations (SV) were identified, together with single nucleotide polymorphisms (SNPs). The structure and expression of genes for leaf morphology and flowering were compared between the three morphotypes revealing candidate genes for these traits in B. rapa. The pak choi genome assembly and its comparison with other B. rapa genome assemblies provides a valuable resource for the genetic improvement of this important vegetable crop and as a model to understand the diversity of morphological variation across Brassica species.
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Affiliation(s)
- Peirong Li
- Beijing Vegetable Research Center (BVRC)Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC)Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC)Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC)Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC)Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC)Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
| | - Philipp E. Bayer
- School of Biological Sciences and Institute of AgricultureUniversity of Western AustraliaPerthWAAustralia
| | - David Edwards
- School of Biological Sciences and Institute of AgricultureUniversity of Western AustraliaPerthWAAustralia
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC)Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC)Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
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17
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Contributions of Reduced Susceptibility Alleles in Breeding Apple Cultivars with Durable Resistance to Fire Blight. PLANTS 2021; 10:plants10020409. [PMID: 33671812 PMCID: PMC7926451 DOI: 10.3390/plants10020409] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/13/2021] [Accepted: 02/17/2021] [Indexed: 12/01/2022]
Abstract
Breeding apple cultivars with durable genetic resistance is a potential long-term solution to fire blight, a devastating bacterial disease caused by Erwinia amylovora. However, phenotyping resistance/susceptibility to fire blight is challenging due to E. amylovora strain virulence, differential host × strain interactions, quantitative host resistance, environmental influences on disease, and impacts of tree vigor on susceptibility. Inheritance of resistance/susceptibility to fire blight is complex and phenotypic information alone is insufficient to guide breeding decisions targeting resistance. Several quantitative trait loci (QTLs) associated with resistance/susceptibility to fire blight have been detected throughout the apple genome. Most resistance alleles at fire blight QTLs have been identified in wild Malus germplasm with poor fruit quality, which limits their breeding utility. Several QTLs have been identified in populations derived from cultivars and reduced-susceptibility alleles have been characterized in multiple important breeding parents. Although resistance to fire blight is an attractive target for DNA-informed breeding, relatively few trait-predictive DNA tests for breeding relevant fire blight QTLs are available. Here we discuss (1) considerations and challenges associated with phenotyping resistance/susceptibility to fire blight; (2) sources of resistance that have been identified for use as parents; and (3) our perspective on short and long-term strategies to breed apple cultivars with durable resistance to fire blight with emphasis on the potential contributions of reduced susceptibility alleles to achieve this goal.
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18
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Iezzoni AF, McFerson J, Luby J, Gasic K, Whitaker V, Bassil N, Yue C, Gallardo K, McCracken V, Coe M, Hardner C, Zurn JD, Hokanson S, van de Weg E, Jung S, Main D, da Silva Linge C, Vanderzande S, Davis TM, Mahoney LL, Finn C, Peace C. RosBREED: bridging the chasm between discovery and application to enable DNA-informed breeding in rosaceous crops. HORTICULTURE RESEARCH 2020; 7:177. [PMID: 33328430 PMCID: PMC7603521 DOI: 10.1038/s41438-020-00398-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 07/16/2020] [Accepted: 08/30/2020] [Indexed: 05/05/2023]
Abstract
The Rosaceae crop family (including almond, apple, apricot, blackberry, peach, pear, plum, raspberry, rose, strawberry, sweet cherry, and sour cherry) provides vital contributions to human well-being and is economically significant across the U.S. In 2003, industry stakeholder initiatives prioritized the utilization of genomics, genetics, and breeding to develop new cultivars exhibiting both disease resistance and superior horticultural quality. However, rosaceous crop breeders lacked certain knowledge and tools to fully implement DNA-informed breeding-a "chasm" existed between existing genomics and genetic information and the application of this knowledge in breeding. The RosBREED project ("Ros" signifying a Rosaceae genomics, genetics, and breeding community initiative, and "BREED", indicating the core focus on breeding programs), addressed this challenge through a comprehensive and coordinated 10-year effort funded by the USDA-NIFA Specialty Crop Research Initiative. RosBREED was designed to enable the routine application of modern genomics and genetics technologies in U.S. rosaceous crop breeding programs, thereby enhancing their efficiency and effectiveness in delivering cultivars with producer-required disease resistances and market-essential horticultural quality. This review presents a synopsis of the approach, deliverables, and impacts of RosBREED, highlighting synergistic global collaborations and future needs. Enabling technologies and tools developed are described, including genome-wide scanning platforms and DNA diagnostic tests. Examples of DNA-informed breeding use by project participants are presented for all breeding stages, including pre-breeding for disease resistance, parental and seedling selection, and elite selection advancement. The chasm is now bridged, accelerating rosaceous crop genetic improvement.
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Affiliation(s)
- Amy F Iezzoni
- Michigan State University, East Lansing, MI, 48824, USA.
| | - Jim McFerson
- Washington State University, Wenatchee, WA, 98801, USA
| | - James Luby
- University of Minnesota, St. Paul, MN, 55108, USA
| | | | | | | | - Chengyan Yue
- University of Minnesota, St. Paul, MN, 55108, USA
| | | | | | - Michael Coe
- Cedar Lake Research Group, Portland, OR, 97215, USA
| | | | | | | | - Eric van de Weg
- Wageningen University and Research, 6700 AA, Wageningen, The Netherlands
| | - Sook Jung
- Washington State University, Pullman, WA, 99164, USA
| | - Dorrie Main
- Washington State University, Pullman, WA, 99164, USA
| | | | | | | | | | | | - Cameron Peace
- Washington State University, Pullman, WA, 99164, USA
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19
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Marimon N, Luque J, Arús P, Eduardo I. Fine mapping and identification of candidate genes for the peach powdery mildew resistance gene Vr3. HORTICULTURE RESEARCH 2020; 7:175. [PMID: 33328431 PMCID: PMC7603514 DOI: 10.1038/s41438-020-00396-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 08/18/2020] [Accepted: 08/30/2020] [Indexed: 06/12/2023]
Abstract
Powdery mildew is one of the major diseases of peach (Prunus persica), caused by the ascomycete Podosphaera pannosa. Currently, it is controlled through calendar-based fungicide treatments starting at petal fall, but an alternative is to develop resistant peach varieties. Previous studies mapped a resistance gene (Vr3) in interspecific populations between almond ('Texas') and peach ('Earlygold'). To obtain molecular markers highly linked to Vr3 and to reduce the number of candidate genes, we fine-mapped Vr3 to a genomic region of 270 kb with 27 annotated genes. To find evidence supporting one of these positional candidate genes as being responsible of Vr3, we analyzed the polymorphisms of the resequences of both parents and used near-isogenic lines (NILs) for expression analysis of the positional candidate genes in symptomatic or asymptomatic leaves. Genes differentially expressed between resistant and susceptible individuals were annotated as a Disease Resistance Protein RGA2 (Prupe2G111700) or an Eceriferum 1 protein involved in epicuticular wax biosynthesis (Prupe2G112800). Only Prupe2G111700 contained a variant predicted to have a disruptive effect on the encoded protein, and was overexpressed in both heterozygous and homozygous individuals containing the Vr3 almond allele, compared with susceptible individuals. This information was also useful to identify and validate molecular markers tightly linked and flanking Vr3. In addition, the NILs used in this work will facilitate the introgression of this gene into peach elite materials, alone or pyramided with other known resistance genes such as peach powdery mildew resistance gene Vr2.
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Grants
- RTA2015-00050-00-00 Ministerio de Economía, Industria y Competitividad, Gobierno de España (Ministerio de Economía, Industria y Competitividad)
- RTA2013-00004-C03-01 Ministerio de Economía, Industria y Competitividad, Gobierno de España (Ministerio de Economía, Industria y Competitividad)
- RTA2013-00004-C03-01 Ministerio de Economía, Industria y Competitividad, Gobierno de España (Ministerio de Economía, Industria y Competitividad)
- RTA2015-00050-00-00 Ministerio de Economía, Industria y Competitividad, Gobierno de España (Ministerio de Economía, Industria y Competitividad)
- COTPA-FRUIT3CAT Generalitat de Catalunya (Government of Catalonia)
- SEV-2015-0533 Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness)
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Affiliation(s)
- Neus Marimon
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193, Bellaterra, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Barcelona, Spain
- Plant Pathology, IRTA Cabrils, Carretera de Cabrils km 2, 08348, Cabrils, Spain
| | - Jordi Luque
- Plant Pathology, IRTA Cabrils, Carretera de Cabrils km 2, 08348, Cabrils, Spain
| | - Pere Arús
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193, Bellaterra, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Barcelona, Spain
| | - Iban Eduardo
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193, Bellaterra, Barcelona, Spain.
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Barcelona, Spain.
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Parkinson JE, Baker AC, Baums IB, Davies SW, Grottoli AG, Kitchen SA, Matz MV, Miller MW, Shantz AA, Kenkel CD. Molecular tools for coral reef restoration: Beyond biomarker discovery. Conserv Lett 2019. [DOI: 10.1111/conl.12687] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- John Everett Parkinson
- SECORE International Miami Florida
- Department of Integrative BiologyUniversity of South Florida Tampa Florida
| | - Andrew C. Baker
- Department of Marine Biology and Ecology, Rosenstiel School of Marine and Atmospheric ScienceUniversity of Miami Miami Florida
| | - Iliana B. Baums
- Department of BiologyPennsylvania State University University Park Pennsylvania
| | | | | | - Sheila A. Kitchen
- Department of BiologyPennsylvania State University University Park Pennsylvania
| | - Mikhail V. Matz
- Department of Integrative BiologyUniversity of Texas at Austin Austin Texas
| | | | - Andrew A. Shantz
- Department of Marine Biology and Ecology, Rosenstiel School of Marine and Atmospheric ScienceUniversity of Miami Miami Florida
| | - Carly D. Kenkel
- Department of Biological SciencesUniversity of Southern California Los Angeles California
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21
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Su J, Jiang J, Zhang F, Liu Y, Ding L, Chen S, Chen F. Current achievements and future prospects in the genetic breeding of chrysanthemum: a review. HORTICULTURE RESEARCH 2019; 6:109. [PMID: 31666962 PMCID: PMC6804895 DOI: 10.1038/s41438-019-0193-8] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 08/11/2019] [Accepted: 08/14/2019] [Indexed: 05/05/2023]
Abstract
Chrysanthemum (Chrysanthemum morifolium Ramat.) is a leading flower with applied value worldwide. Developing new chrysanthemum cultivars with novel characteristics such as new flower colors and shapes, plant architectures, flowering times, postharvest quality, and biotic and abiotic stress tolerance in a time- and cost-efficient manner is the ultimate goal for breeders. Various breeding strategies have been employed to improve the aforementioned traits, ranging from conventional techniques, including crossbreeding and mutation breeding, to a series of molecular breeding methods, including transgenic technology, genome editing, and marker-assisted selection (MAS). In addition, the recent extensive advances in high-throughput technologies, especially genomics, transcriptomics, proteomics, metabolomics, and microbiomics, which are collectively referred to as omics platforms, have led to the collection of substantial amounts of data. Integration of these omics data with phenotypic information will enable the identification of genes/pathways responsible for important traits. Several attempts have been made to use emerging molecular and omics methods with the aim of accelerating the breeding of chrysanthemum. However, applying the findings of such studies to practical chrysanthemum breeding remains a considerable challenge, primarily due to the high heterozygosity and polyploidy of the species. This review summarizes the recent achievements in conventional and modern molecular breeding methods and emerging omics technologies and discusses their future applications for improving the agronomic and horticultural characteristics of chrysanthemum.
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Affiliation(s)
- Jiangshuo Su
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Key Laboratory of Landscaping, Ministry of Agriculture and Rural Affairs, College of Horticulture, Nanjing Agricultural University, 210095 Nanjing, China
| | - Jiafu Jiang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Key Laboratory of Landscaping, Ministry of Agriculture and Rural Affairs, College of Horticulture, Nanjing Agricultural University, 210095 Nanjing, China
| | - Fei Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Key Laboratory of Landscaping, Ministry of Agriculture and Rural Affairs, College of Horticulture, Nanjing Agricultural University, 210095 Nanjing, China
| | - Ye Liu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Key Laboratory of Landscaping, Ministry of Agriculture and Rural Affairs, College of Horticulture, Nanjing Agricultural University, 210095 Nanjing, China
| | - Lian Ding
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Key Laboratory of Landscaping, Ministry of Agriculture and Rural Affairs, College of Horticulture, Nanjing Agricultural University, 210095 Nanjing, China
| | - Sumei Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Key Laboratory of Landscaping, Ministry of Agriculture and Rural Affairs, College of Horticulture, Nanjing Agricultural University, 210095 Nanjing, China
| | - Fadi Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Key Laboratory of Landscaping, Ministry of Agriculture and Rural Affairs, College of Horticulture, Nanjing Agricultural University, 210095 Nanjing, China
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Larsen B, Migicovsky Z, Jeppesen AA, Gardner KM, Toldam-Andersen TB, Myles S, Ørgaard M, Petersen MA, Pedersen C. Genome-Wide Association Studies in Apple Reveal Loci for Aroma Volatiles, Sugar Composition, and Harvest Date. THE PLANT GENOME 2019; 12. [PMID: 31290918 DOI: 10.3835/plantgenome2018.12.0104] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Understanding the genetic architecture of fruit quality traits is crucial to target breeding of apple ( L.) cultivars. We linked genotype and phenotype information by combining genotyping-by-sequencing (GBS) generated single nucleotide polymorphism (SNP) markers with fruit flavor volatile data, sugar and acid content, and historical trait data from a gene bank collection. Using gas chromatography-mass spectrometry (GC-MS) analysis of apple juice samples, we identified 49 fruit volatile organic compounds (VOCs). We found a very variable content of VOCs, especially for the esters, among 149 apple cultivars. We identified convincing associations for the acetate esters especially butyl acetate and hexyl acetate on chromosome 2 in a region of several alcohol acyl-transferases including AAT1. For sucrose content and for fructose and sucrose in percentage of total sugars, we revealed significant SNP associations. Here, we suggest a vacuolar invertase close to significant SNPs for this association as candidate gene. Harvest date was in strong SNP association with a NAC transcription factor gene and sequencing identified two haplotypes associated with harvest date. The study shows that SNP marker characterization of a gene bank collection can be successfully combined with new and historical trait data for association studies. Suggested candidate genes may contribute to an improved understanding of the genetic basis for important traits and simultaneously provide tools for targeted breeding using marker-assisted selection (MAS).
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23
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Peace CP, Bianco L, Troggio M, van de Weg E, Howard NP, Cornille A, Durel CE, Myles S, Migicovsky Z, Schaffer RJ, Costes E, Fazio G, Yamane H, van Nocker S, Gottschalk C, Costa F, Chagné D, Zhang X, Patocchi A, Gardiner SE, Hardner C, Kumar S, Laurens F, Bucher E, Main D, Jung S, Vanderzande S. Apple whole genome sequences: recent advances and new prospects. HORTICULTURE RESEARCH 2019; 6:59. [PMID: 30962944 PMCID: PMC6450873 DOI: 10.1038/s41438-019-0141-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 03/15/2019] [Accepted: 03/15/2019] [Indexed: 05/19/2023]
Abstract
In 2010, a major scientific milestone was achieved for tree fruit crops: publication of the first draft whole genome sequence (WGS) for apple (Malus domestica). This WGS, v1.0, was valuable as the initial reference for sequence information, fine mapping, gene discovery, variant discovery, and tool development. A new, high quality apple WGS, GDDH13 v1.1, was released in 2017 and now serves as the reference genome for apple. Over the past decade, these apple WGSs have had an enormous impact on our understanding of apple biological functioning, trait physiology and inheritance, leading to practical applications for improving this highly valued crop. Causal gene identities for phenotypes of fundamental and practical interest can today be discovered much more rapidly. Genome-wide polymorphisms at high genetic resolution are screened efficiently over hundreds to thousands of individuals with new insights into genetic relationships and pedigrees. High-density genetic maps are constructed efficiently and quantitative trait loci for valuable traits are readily associated with positional candidate genes and/or converted into diagnostic tests for breeders. We understand the species, geographical, and genomic origins of domesticated apple more precisely, as well as its relationship to wild relatives. The WGS has turbo-charged application of these classical research steps to crop improvement and drives innovative methods to achieve more durable, environmentally sound, productive, and consumer-desirable apple production. This review includes examples of basic and practical breakthroughs and challenges in using the apple WGSs. Recommendations for "what's next" focus on necessary upgrades to the genome sequence data pool, as well as for use of the data, to reach new frontiers in genomics-based scientific understanding of apple.
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Affiliation(s)
- Cameron P. Peace
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Luca Bianco
- Computational Biology, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - Michela Troggio
- Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - Eric van de Weg
- Plant Breeding, Wageningen University and Research, Wageningen, 6708PB The Netherlands
| | - Nicholas P. Howard
- Department of Horticultural Science, University of Minnesota, St. Paul, MN 55108 USA
- Institut für Biologie und Umweltwissenschaften, Carl von Ossietzky Universität, 26129 Oldenburg, Germany
| | - Amandine Cornille
- GQE – Le Moulon, Institut National de la Recherche Agronomique, University of Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Charles-Eric Durel
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
| | - Sean Myles
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3 Canada
| | - Zoë Migicovsky
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3 Canada
| | - Robert J. Schaffer
- The New Zealand Institute for Plant and Food Research Ltd, Motueka, 7198 New Zealand
- School of Biological Sciences, University of Auckland, Auckland, 1142 New Zealand
| | - Evelyne Costes
- AGAP, INRA, CIRAD, Montpellier SupAgro, University of Montpellier, Montpellier, France
| | - Gennaro Fazio
- Plant Genetic Resources Unit, USDA ARS, Geneva, NY 14456 USA
| | - Hisayo Yamane
- Laboratory of Pomology, Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502 Japan
| | - Steve van Nocker
- Department of Horticulture, Michigan State University, East Lansing, MI 48824 USA
| | - Chris Gottschalk
- Department of Horticulture, Michigan State University, East Lansing, MI 48824 USA
| | - Fabrizio Costa
- Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - David Chagné
- The New Zealand Institute for Plant and Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, 4474 New Zealand
| | - Xinzhong Zhang
- College of Horticulture, China Agricultural University, 100193 Beijing, China
| | | | - Susan E. Gardiner
- The New Zealand Institute for Plant and Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, 4474 New Zealand
| | - Craig Hardner
- Queensland Alliance of Agriculture and Food Innovation, University of Queensland, St Lucia, 4072 Australia
| | - Satish Kumar
- New Cultivar Innovation, Plant and Food Research, Havelock North, 4130 New Zealand
| | - Francois Laurens
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
| | - Etienne Bucher
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
- Agroscope, 1260 Changins, Switzerland
| | - Dorrie Main
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Sook Jung
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Stijn Vanderzande
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
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24
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Aranzana MJ, Decroocq V, Dirlewanger E, Eduardo I, Gao ZS, Gasic K, Iezzoni A, Jung S, Peace C, Prieto H, Tao R, Verde I, Abbott AG, Arús P. Prunus genetics and applications after de novo genome sequencing: achievements and prospects. HORTICULTURE RESEARCH 2019; 6:58. [PMID: 30962943 PMCID: PMC6450939 DOI: 10.1038/s41438-019-0140-8] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/10/2019] [Accepted: 03/13/2019] [Indexed: 05/04/2023]
Abstract
Prior to the availability of whole-genome sequences, our understanding of the structural and functional aspects of Prunus tree genomes was limited mostly to molecular genetic mapping of important traits and development of EST resources. With public release of the peach genome and others that followed, significant advances in our knowledge of Prunus genomes and the genetic underpinnings of important traits ensued. In this review, we highlight key achievements in Prunus genetics and breeding driven by the availability of these whole-genome sequences. Within the structural and evolutionary contexts, we summarize: (1) the current status of Prunus whole-genome sequences; (2) preliminary and ongoing work on the sequence structure and diversity of the genomes; (3) the analyses of Prunus genome evolution driven by natural and man-made selection; and (4) provide insight into haploblocking genomes as a means to define genome-scale patterns of evolution that can be leveraged for trait selection in pedigree-based Prunus tree breeding programs worldwide. Functionally, we summarize recent and ongoing work that leverages whole-genome sequences to identify and characterize genes controlling 22 agronomically important Prunus traits. These include phenology, fruit quality, allergens, disease resistance, tree architecture, and self-incompatibility. Translationally, we explore the application of sequence-based marker-assisted breeding technologies and other sequence-guided biotechnological approaches for Prunus crop improvement. Finally, we present the current status of publically available Prunus genomics and genetics data housed mainly in the Genome Database for Rosaceae (GDR) and its updated functionalities for future bioinformatics-based Prunus genetics and genomics inquiry.
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Affiliation(s)
- Maria José Aranzana
- IRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
| | - Véronique Decroocq
- UMR 1332 BFP, INRA, University of Bordeaux, A3C and Virology Teams, 33882 Villenave-d’Ornon Cedex, France
| | - Elisabeth Dirlewanger
- UMR 1332 BFP, INRA, University of Bordeaux, A3C and Virology Teams, 33882 Villenave-d’Ornon Cedex, France
| | - Iban Eduardo
- IRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
| | - Zhong Shan Gao
- Allergy Research Center, Zhejiang University, 310058 Hangzhou, China
| | | | - Amy Iezzoni
- Department of Horticulture, Michigan State University, 1066 Bogue Street, East Lansing, MI 48824-1325 USA
| | - Sook Jung
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414 USA
| | - Cameron Peace
- Department of Horticulture, Washington State University, Pullman, WA 99164-6414 USA
| | - Humberto Prieto
- Biotechnology Laboratory, La Platina Research Station, Instituto de Investigaciones Agropecuarias, Santa Rosa, 11610 La Pintana, Santiago Chile
| | - Ryutaro Tao
- Laboratory of Pomology, Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502 Japan
| | - Ignazio Verde
- Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) – Centro di ricerca Olivicoltura, Frutticoltura e Agrumicoltura (CREA-OFA), Rome, Italy
| | - Albert G. Abbott
- University of Kentucky, 106 T. P. Cooper Hall, Lexington, KY 40546-0073 USA
| | - Pere Arús
- IRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Cerdanyola del Vallès (Bellaterra), 08193 Barcelona, Spain
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25
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Zhang L, Hu J, Han X, Li J, Gao Y, Richards CM, Zhang C, Tian Y, Liu G, Gul H, Wang D, Tian Y, Yang C, Meng M, Yuan G, Kang G, Wu Y, Wang K, Zhang H, Wang D, Cong P. A high-quality apple genome assembly reveals the association of a retrotransposon and red fruit colour. Nat Commun 2019; 10:1494. [PMID: 30940818 PMCID: PMC6445120 DOI: 10.1038/s41467-019-09518-x] [Citation(s) in RCA: 168] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 03/13/2019] [Indexed: 01/14/2023] Open
Abstract
A complete and accurate genome sequence provides a fundamental tool for functional genomics and DNA-informed breeding. Here, we assemble a high-quality genome (contig N50 of 6.99 Mb) of the apple anther-derived homozygous line HFTH1, including 22 telomere sequences, using a combination of PacBio single-molecule real-time (SMRT) sequencing, chromosome conformation capture (Hi-C) sequencing, and optical mapping. In comparison to the Golden Delicious reference genome, we identify 18,047 deletions, 12,101 insertions and 14 large inversions. We reveal that these extensive genomic variations are largely attributable to activity of transposable elements. Interestingly, we find that a long terminal repeat (LTR) retrotransposon insertion upstream of MdMYB1, a core transcriptional activator of anthocyanin biosynthesis, is associated with red-skinned phenotype. This finding provides insights into the molecular mechanisms underlying red fruit coloration, and highlights the utility of this high-quality genome assembly in deciphering agriculturally important trait in apple.
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Affiliation(s)
- Liyi Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Jiang Hu
- Nextomics Biosciences Institute, 430000, Wuhan, Hubei, China
| | - Xiaolei Han
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Jingjing Li
- Nextomics Biosciences Institute, 430000, Wuhan, Hubei, China
| | - Yuan Gao
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Christopher M Richards
- USDA-ARS National Center for Genetic Resources Preservation, Fort Collins, CO, 80521, USA
| | - Caixia Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Yi Tian
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Guiming Liu
- Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, 100097, Beijing, China
| | - Hera Gul
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Dajiang Wang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Yu Tian
- Nextomics Biosciences Institute, 430000, Wuhan, Hubei, China
| | - Chuanxin Yang
- Nextomics Biosciences Institute, 430000, Wuhan, Hubei, China
| | - Minghui Meng
- Nextomics Biosciences Institute, 430000, Wuhan, Hubei, China
| | - Gaopeng Yuan
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Guodong Kang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Yonglong Wu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Kun Wang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China
| | - Hengtao Zhang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, 450009, Zhengzhou, Henan, China
| | - Depeng Wang
- Nextomics Biosciences Institute, 430000, Wuhan, Hubei, China.
| | - Peihua Cong
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Research Institute of Pomology, Chinese Academy of Agricultural Science, 125100, Xingcheng, Liaoning, China.
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26
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Kausch AP, Nelson-Vasilchik K, Hague J, Mookkan M, Quemada H, Dellaporta S, Fragoso C, Zhang ZJ. Edit at will: Genotype independent plant transformation in the era of advanced genomics and genome editing. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2019; 281:186-205. [PMID: 30824051 DOI: 10.1016/j.plantsci.2019.01.006] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 12/07/2018] [Accepted: 01/10/2019] [Indexed: 05/21/2023]
Abstract
The combination of advanced genomics, genome editing and plant transformation biology presents a powerful platform for basic plant research and crop improvement. Together these advances provide the tools to identify genes as targets for direct editing as single base pair changes, deletions, insertions and site specific homologous recombination. Recent breakthrough technologies using morphogenic regulators in plant transformation creates the ability to introduce reagents specific toward their identified targets and recover stably transformed and/or edited plants which are genotype independent. These technologies enable the possibility to alter a trait in any variety, without genetic disruption which would require subsequent extensive breeding, but rather to deliver the same variety with one trait changed. Regulatory issues regarding this technology will predicate how broadly these technologies will be implemented. In addition, education will play a crucial role for positive public acceptance. Taken together these technologies comprise a platform for advanced breeding which is an imperative for future world food security.
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Affiliation(s)
- Albert P Kausch
- Department of Cell and Molecular Biology, University of Rhode Island, RI 02892, USA.
| | | | - Joel Hague
- Department of Cell and Molecular Biology, University of Rhode Island, RI 02892, USA
| | - Muruganantham Mookkan
- Plant Transformation Core Facility, Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
| | | | - Stephen Dellaporta
- Yale University, New Haven, CT 06520, USA; Verinomics Inc., New Haven, CT 06520, USA
| | | | - Zhanyuan J Zhang
- Plant Transformation Core Facility, Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
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27
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Chagné D, Vanderzande S, Kirk C, Profitt N, Weskett R, Gardiner SE, Peace CP, Volz RK, Bassil NV. Validation of SNP markers for fruit quality and disease resistance loci in apple ( Malus × domestica Borkh.) using the OpenArray® platform. HORTICULTURE RESEARCH 2019; 6:30. [PMID: 30854208 PMCID: PMC6395728 DOI: 10.1038/s41438-018-0114-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 11/01/2018] [Accepted: 12/12/2018] [Indexed: 05/22/2023]
Abstract
Genome mapping has promised much to tree fruit breeding during the last 10 years. Nevertheless, one of the greatest challenges remaining to tree fruit geneticists is the translation of trait loci and whole genome sequences into diagnostic genetic markers that are efficient and cost-effective for use by breeders, who must select genetically optimal parents and subsequently select genetically superior individuals among their progeny. To take this translational step, we designed the apple International RosBREED SNP Consortium OpenArray v1.0 (IRSCOA v1.0) assay using a set of 128 apple single nucleotide polymorphisms (SNPs) linked to fruit quality and pest and disease resistance trait loci. The Thermo Fisher Scientific OpenArray® technology enables multiplexed screening of SNP markers using a real-time PCR instrument with fluorescent probe-based Taqman® assays. We validated the apple IRSCOA v1.0 multi-trait assay by screening 240 phenotyped individuals from the Plant & Food Research apple cultivar breeding programme. This set of individuals comprised commercial and heritage cultivars, elite selections, and families segregating for traits of importance to breeders. In total, 33 SNP markers of the IRSCOA v1.0 were validated for use in marker-assisted selection (MAS) for the scab resistances Rvi2/Vh2, Rvi4/Vh4, Rvi6/Vf, fire blight resistance MR5/RLP1, powdery mildew resistance Pl2, fruit firmness, skin colour, flavour intensity, and acidity. The availability of this set of validated trait-associated SNP markers, which can be used individually on multiple genotyping platforms available to various apple breeding programmes or re-designed using the flanking sequences, represents a large translational genetics step from genomics to crop improvement of apple.
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Affiliation(s)
- David Chagné
- The New Zealand Institute for Plant & Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, New Zealand
| | - Stijn Vanderzande
- Department of Horticulture, Washington State University, Pullman, WA USA
| | - Chris Kirk
- The New Zealand Institute for Plant & Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, New Zealand
| | - Natalie Profitt
- Plant & Food Research, Hawke’s Bay Research Centre, Havelock North, New Zealand
| | - Rosemary Weskett
- Plant & Food Research, Hawke’s Bay Research Centre, Havelock North, New Zealand
| | - Susan E. Gardiner
- The New Zealand Institute for Plant & Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, New Zealand
| | - Cameron P. Peace
- Department of Horticulture, Washington State University, Pullman, WA USA
| | - Richard K. Volz
- Plant & Food Research, Hawke’s Bay Research Centre, Havelock North, New Zealand
| | - Nahla V. Bassil
- USDA-ARS, National Clonal Germplasm Repository, Corvallis, OR USA
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28
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Li C, Yamagishi N, Kasajima I, Yoshikawa N. Virus-induced gene silencing and virus-induced flowering in strawberry ( Fragaria × ananassa) using apple latent spherical virus vectors. HORTICULTURE RESEARCH 2019; 6:18. [PMID: 30729008 PMCID: PMC6355769 DOI: 10.1038/s41438-018-0106-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 09/22/2018] [Accepted: 10/28/2018] [Indexed: 05/08/2023]
Abstract
Apple latent spherical virus (ALSV) vector is a convenient alternative to genetic transformation in horticultural plants, especially in species recalcitrant to genetic transformation. ALSV, an RNA virus, can infect a wide variety of plant species including major horticultural plants without inducing symptoms. Here, methodologies were developed for infection of ALSV vectors to strawberry seedlings and plantlets cultured in vitro. A seed-propagated F1 hybrid strawberry cultivar 'Yotsuboshi' was aseptically grown on half-strength Murashige-Skoog medium for 1 month and true leaves were inoculated with an ALSV RNA preparation by particle bombardment. ALSV vector infection rates varied from 58 to 100% according to the insertion sequences, in 'Yotsuboshi' seedlings. Plantlets ('Dover') propagated in vitro could also be infected with ALSV vector at a similar infection rate. For virus-induced gene silencing (VIGS), we prepared an ALSV vector carrying a 201 nucleotide segment of the strawberry phytoene desaturase gene. 'Yotsuboshi' and 'Dover' plants infected by this vector generated completely white leaves at fifth or sixth true leaves and above. For virus-induced flowering (VIF), we used an ALSV vector expressing the Arabidopsis thaliana flowering locus T gene. Strawberry seedlings infected by this vector started to flower from about 2 months post inoculation and bore fruits with viable seeds. The ALSV vector was no longer detected in any of the seedlings from early-flowered strawberries. Thus, the ALSV vector may be beneficial for examination of gene functions by VIGS in strawberry, and VIF using ALSV vector constitutes an effective new plant breeding technique for the promotion of cross-breeding in strawberry.
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Affiliation(s)
- Chunjiang Li
- Faculty of Agriculture, Iwate University, Morioka 3-18-8, Iwate, 020-8550 Japan
| | - Noriko Yamagishi
- Agri-Innovation Research Center, Iwate University, Morioka 3-18-8, Iwate, 020-8550 Japan
| | - Ichiro Kasajima
- Agri-Innovation Research Center, Iwate University, Morioka 3-18-8, Iwate, 020-8550 Japan
| | - Nobuyuki Yoshikawa
- Faculty of Agriculture, Iwate University, Morioka 3-18-8, Iwate, 020-8550 Japan
- Agri-Innovation Research Center, Iwate University, Morioka 3-18-8, Iwate, 020-8550 Japan
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Larsen B, Gardner K, Pedersen C, Ørgaard M, Migicovsky Z, Myles S, Toldam-Andersen TB. Population structure, relatedness and ploidy levels in an apple gene bank revealed through genotyping-by-sequencing. PLoS One 2018; 13:e0201889. [PMID: 30110387 PMCID: PMC6093671 DOI: 10.1371/journal.pone.0201889] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 07/24/2018] [Indexed: 12/20/2022] Open
Abstract
In recent years, new genome-wide marker systems have provided highly informative alternatives to low density marker systems for evaluating plant populations. To date, most apple germplasm collections have been genotyped using low-density markers such as simple sequence repeats (SSRs), whereas only a few have been explored using high-density genome-wide marker information. We explored the genetic diversity of the Pometum gene bank collection (University of Copenhagen, Denmark) of 349 apple accessions using over 15,000 genome-wide single nucleotide polymorphisms (SNPs) and 15 SSR markers, in order to compare the strength of the two approaches for describing population structure. We found that 119 accessions shared a putative clonal relationship with at least one other accession in the collection, resulting in the identification of 272 (78%) unique accessions. Of these unique accessions, over half (52%) share a first-degree relationship with at least one other accession. There is therefore a high degree of clonal and family relatedness in the Danish apple gene bank. We find significant genetic differentiation between Malus domestica and its supposed primary wild ancestor, M. sieversii, as well as between accessions of Danish origin and all others. Using the GBS approach allowed us to estimate ploidy levels, which were in accordance with flow cytometry results. Overall, we found strong concordance between analyses based on the genome-wide SNPs and the 15 SSR loci. However, we argue that GBS is superior to traditional SSR approaches because it allows detection of a much more detailed population structure and can be further exploited in genome-wide association studies (GWAS). Finally, we compare GBS with SSR for the purpose of identifying clones and pedigree relations in a diverse apple gene bank and discuss the advantages and constraints of the two approaches.
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Affiliation(s)
- Bjarne Larsen
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark
- * E-mail:
| | - Kyle Gardner
- Department of Plant, Food and Environmental Sciences, Dalhousie University, Faculty of Agriculture, Agricultural Campus, Truro, NS, Canada
| | - Carsten Pedersen
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Marian Ørgaard
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Zoë Migicovsky
- Department of Plant, Food and Environmental Sciences, Dalhousie University, Faculty of Agriculture, Agricultural Campus, Truro, NS, Canada
| | - Sean Myles
- Department of Plant, Food and Environmental Sciences, Dalhousie University, Faculty of Agriculture, Agricultural Campus, Truro, NS, Canada
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30
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Jia D, Shen F, Wang Y, Wu T, Xu X, Zhang X, Han Z. Apple fruit acidity is genetically diversified by natural variations in three hierarchical epistatic genes: MdSAUR37, MdPP2CH and MdALMTII. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2018; 95:427-443. [PMID: 29750477 DOI: 10.1111/tpj.13957] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 04/13/2018] [Accepted: 04/17/2018] [Indexed: 05/21/2023]
Abstract
Many efforts have been made to map quantitative trait loci (QTLs) to facilitate practical marker-assisted selection (MAS) in plants. In the present study, using MapQTL and BSA-seq (bulk segregant analysis using next generation sequencing) with two independent pedigree-based populations, we identified four major genome-wide QTLs responsible for apple fruit acidity. Candidate genes were screened in major QTL regions, and three functional gene markers, including a non-synonymous A/G single-nucleotide polymorphism (SNP) in the coding region of MdPP2CH, a 36-bp insertion in the promoter of MdSAUR37 and a previously reported SNP in MdALMTII, were validated to influence the malate content of apple fruits. In addition, MdPP2CH inactivated three vacuolar H+ -ATPases (MdVHA-A3, MdVHA-B2 and MdVHA-D2) and one aluminium-activated malate transporter (MdALMTII) via dephosphorylation and negatively influenced fruit malate accumulation. The dephosphotase activity of MdPP2CH was suppressed by MdSAUR37, which implied a higher hierarchy of genetic interaction. Therefore, the MdSAUR37/MdPP2CH/MdALMTII chain cascaded hierarchical epistatic genetic effects to precisely determine apple fruit malate content. An A/G SNP (-1010) on the MdMYB44 promoter region from a major QTL (qtl08.1) was closely associated with fruit malate content. The predicted phenotype values (PPVs) were estimated using the tentative genotype values of the gene markers, and the PPVs were significantly correlated with the observed phenotype values. Our findings provide an insight into plant genome-based selection in apples and will aid in conducting research to understand the fundamental physiological basis of quantitative genetics.
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Affiliation(s)
- Dongjie Jia
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Fei Shen
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Yi Wang
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Ting Wu
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Xuefeng Xu
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Xinzhong Zhang
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Zhenhai Han
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, 100193, China
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31
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Wang X, Cheng F, Rohlsen D, Bi C, Wang C, Xu Y, Wei S, Ye Q, Yin T, Ye N. Organellar genome assembly methods and comparative analysis of horticultural plants. HORTICULTURE RESEARCH 2018; 5:3. [PMID: 29423233 PMCID: PMC5798811 DOI: 10.1038/s41438-017-0002-1] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 11/20/2017] [Accepted: 11/26/2017] [Indexed: 05/31/2023]
Abstract
Although organellar genomes (including chloroplast and mitochondrial genomes) are smaller than nuclear genomes in size and gene number, organellar genomes are very important for the investigation of plant evolution and molecular ecology mechanisms. Few studies have focused on the organellar genomes of horticultural plants. Approximately 1193 chloroplast genomes and 199 mitochondrial genomes of land plants are available in the National Center for Biotechnology Information (NCBI), of which only 39 are from horticultural plants. In this paper, we report an innovative and efficient method for high-quality horticultural organellar genome assembly from next-generation sequencing (NGS) data. Sequencing reads were first assembled by Newbler, Amos, and Minimus software with default parameters. The remaining gaps were then filled through BLASTN search and PCR. The complete DNA sequence was corrected based on Illumina sequencing data using BWA (Burrows-Wheeler Alignment tool) software. The advantage of this approach is that there is no need to isolate organellar DNA from total DNA during sample preparation. Using this procedure, the complete mitochondrial and chloroplast genomes of an ornamental plant, Salix suchowensis, and a fruit tree, Ziziphus jujuba, were identified. This study shows that horticultural plants have similar mitochondrial and chloroplast sequence organization to other seed plants. Most horticultural plants demonstrate a slight bias toward A+T rich features in the mitochondrial genome. In addition, a phylogenetic analysis of 39 horticultural plants based on 15 protein-coding genes showed that some mitochondrial genes are horizontally transferred from chloroplast DNA. Our study will provide an important reference for organellar genome assembly in other horticultural plants. Furthermore, phylogenetic analysis of the organellar genomes of horticultural plants could accurately clarify the unanticipated relationships among these plants.
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Affiliation(s)
- Xuelin Wang
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu China
| | - Feng Cheng
- Department of Pharmaceutical Science, College of Pharmacy, University of South Florida, Tampa, FL 33612 USA
| | - Dekai Rohlsen
- Department of Pharmaceutical Science, College of Pharmacy, University of South Florida, Tampa, FL 33612 USA
| | - Changwei Bi
- School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu China
| | - Chunyan Wang
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu China
| | - Yiqing Xu
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu China
| | - Suyun Wei
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu China
| | - Qiaolin Ye
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu China
| | - Tongming Yin
- College of Forestry, Nanjing Forestry University, Nanjing, Jiangsu China
| | - Ning Ye
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu China
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32
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van Geest G, Bourke PM, Voorrips RE, Marasek-Ciolakowska A, Liao Y, Post A, van Meeteren U, Visser RGF, Maliepaard C, Arens P. An ultra-dense integrated linkage map for hexaploid chrysanthemum enables multi-allelic QTL analysis. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2017; 130:2527-2541. [PMID: 28852802 PMCID: PMC5668331 DOI: 10.1007/s00122-017-2974-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 08/18/2017] [Indexed: 05/21/2023]
Abstract
KEY MESSAGE We constructed the first integrated genetic linkage map in a polysomic hexaploid. This enabled us to estimate inheritance of parental haplotypes in the offspring and detect multi-allelic QTL. Construction and use of linkage maps are challenging in hexaploids with polysomic inheritance. Full map integration requires calculations of recombination frequency between markers with complex segregation types. In addition, detection of QTL in hexaploids requires information on all six alleles at one locus for each individual. We describe a method that we used to construct a fully integrated linkage map for chrysanthemum (Chrysanthemum × morifolium, 2n = 6x = 54). A bi-parental F1 population of 406 individuals was genotyped with an 183,000 SNP genotyping array. The resulting linkage map consisted of 30,312 segregating SNP markers of all possible marker dosage types, representing nine chromosomal linkage groups and 107 out of 108 expected homologues. Synteny with lettuce (Lactuca sativa) showed local colinearity. Overall, it was high enough to number the chrysanthemum chromosomal linkage groups according to those in lettuce. We used the integrated and phased linkage map to reconstruct inheritance of parental haplotypes in the F1 population. Estimated probabilities for the parental haplotypes were used for multi-allelic QTL analyses on four traits with different underlying genetic architectures. This resulted in the identification of major QTL that were affected by multiple alleles having a differential effect on the phenotype. The presented linkage map sets a standard for future genetic mapping analyses in chrysanthemum and closely related species. Moreover, the described methods are a major step forward for linkage mapping and QTL analysis in hexaploids.
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Affiliation(s)
- Geert van Geest
- Plant Breeding, Wageningen University and Research, P.O. Box 386, 6708 PB, Wageningen, The Netherlands.
- Deliflor Chrysanten B.V., Korte Kruisweg 163, 2676 BS, Maasdijk, The Netherlands.
- Horticulture and Product Physiology, Department of Plant Sciences, Wageningen University, P.O. Box 16, 6700 AA, Wageningen, The Netherlands.
| | - Peter M Bourke
- Plant Breeding, Wageningen University and Research, P.O. Box 386, 6708 PB, Wageningen, The Netherlands
| | - Roeland E Voorrips
- Plant Breeding, Wageningen University and Research, P.O. Box 386, 6708 PB, Wageningen, The Netherlands
| | | | - Yanlin Liao
- Plant Breeding, Wageningen University and Research, P.O. Box 386, 6708 PB, Wageningen, The Netherlands
| | - Aike Post
- Deliflor Chrysanten B.V., Korte Kruisweg 163, 2676 BS, Maasdijk, The Netherlands
| | - Uulke van Meeteren
- Horticulture and Product Physiology, Department of Plant Sciences, Wageningen University, P.O. Box 16, 6700 AA, Wageningen, The Netherlands
| | - Richard G F Visser
- Plant Breeding, Wageningen University and Research, P.O. Box 386, 6708 PB, Wageningen, The Netherlands
| | - Chris Maliepaard
- Plant Breeding, Wageningen University and Research, P.O. Box 386, 6708 PB, Wageningen, The Netherlands
| | - Paul Arens
- Plant Breeding, Wageningen University and Research, P.O. Box 386, 6708 PB, Wageningen, The Netherlands
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33
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Correia S, Schouten R, Silva AP, Gonçalves B. Factors Affecting Quality and Health Promoting Compounds during Growth and Postharvest Life of Sweet Cherry ( Prunus avium L.). FRONTIERS IN PLANT SCIENCE 2017; 8:2166. [PMID: 29312407 PMCID: PMC5742238 DOI: 10.3389/fpls.2017.02166] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 12/08/2017] [Indexed: 05/13/2023]
Abstract
Sweet cherries are attractive fruits due to their taste, color, nutritional value, and beneficial health effects. Sweet cherry is a highly perishable fruit and all quality attributes and the level of health promoting compounds are affected by growth conditions, picking, packing, transport, and storage. During production, the correct combination of scion × rootstock will produce fruits with higher firmness, weight, sugars, vitamins, and phenolic compounds that boost the fruit antioxidant activity. Orchard management, such as applying drip irrigation and summer pruning, will increase fruit sugar levels and total phenolic content, while application of growth regulators can result in improved storability, increased red coloring, increased fruit size, and reduced cracking. Salicylic acid, oxalic acid, acetylsalicylic acid, and methyl salicylate are promising growth regulators as they also increase total phenolics, anthocyanins, and induce higher activity of antioxidant enzymes. These growth regulators are now also applied as fruit coatings that improve shelf-life with higher antioxidant enzyme activities and total phenolics. Optimizing storage and transport conditions, such as hydro cooling with added CaCl2, chain temperature and relative humidity control, are crucial for slowing down decay of quality attributes and increasing the antioxidant capacity. Application of controlled atmosphere during storage is successful in delaying quality attributes, but lowers ascorbic acid levels. The combination of low temperature storage in combination with modified atmosphere packaging (MAP) is successful in reducing the incidence of fruit decay, while preserving taste attributes and stem color with a higher antioxidant capacity. A new trend in MAP is the use of biodegradable films such as micro-perforated polylactic acid film that combine significant retention of quality attributes, high consumer acceptability, and a reduced environmental footprint. Another trend is to replace MAP with fruit edible coatings. Edible coatings, such as various lipid composite coatings, have advantages in retaining quality attributes and increasing the antioxidant activity (chitosan) and are regarded as approved food additives, although studies regarding consumer acceptance are needed. The recent publication of the sweet cherry genome will likely increase the identification of more candidate genes involved in growing and maintaining health related compounds and quality attributes.
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Affiliation(s)
- Sofia Correia
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal
- *Correspondence: Sofia Correia
| | - Rob Schouten
- Horticulture and Product Physiology, Wageningen University, Wageningen, Netherlands
| | - Ana P. Silva
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal
| | - Berta Gonçalves
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal
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