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Wen Q, Wang S, Zhang X, Zhou Z. Recent advances of NLR receptors in vegetable disease resistance. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2024; 348:112224. [PMID: 39142606 DOI: 10.1016/j.plantsci.2024.112224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 08/07/2024] [Accepted: 08/08/2024] [Indexed: 08/16/2024]
Abstract
Plants mainly depend on both cell-surface and intracellular receptors to defend against various pathogens. The nucleotide-binding leucine-rich repeat (NLR) proteins are intracellular receptors that recognize pathogen effectors. The first NLR was cloned thirty years ago. Genomic sequencing and biotechnologies accelerated NLR gene isolation. NLR genes have been proven useful in breeding disease resistant crops. Here, we summarized the current knowledge of strategies for NLR gene isolation and provided a list of NLRs cloned in vegetables. We also discussed the mechanisms underlying NLR gene function, the challenges of NLRs in vegetable breeding and directions for future studies.
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Affiliation(s)
- Qing Wen
- Department of Vegetable Sciences, China Agricultural University, Beijing 100193, China
| | - Shaoyun Wang
- Department of Vegetable Sciences, China Agricultural University, Beijing 100193, China
| | - Xiaolan Zhang
- Department of Vegetable Sciences, China Agricultural University, Beijing 100193, China
| | - Zhaoyang Zhou
- Department of Vegetable Sciences, China Agricultural University, Beijing 100193, China.
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2
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Shahwar D, Khan Z, Park Y. Molecular Marker-Assisted Mapping, Candidate Gene Identification, and Breeding in Melon ( Cucumis melo L.): A Review. Int J Mol Sci 2023; 24:15490. [PMID: 37895169 PMCID: PMC10607903 DOI: 10.3390/ijms242015490] [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: 08/21/2023] [Revised: 10/18/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
Melon (Cucumis melo L.) is an important crop that is cultivated worldwide for its fleshy fruit. Understanding the genetic basis of a plant's qualitative and quantitative traits is essential for developing consumer-favored varieties. This review presents genetic and molecular advances related to qualitative and quantitative phenotypic traits and biochemical compounds in melons. This information guides trait incorporation and the production of novel varieties with desirable horticultural and economic characteristics and yield performance. This review summarizes the quantitative trait loci, candidate genes, and development of molecular markers related to plant architecture, branching patterns, floral attributes (sex expression and male sterility), fruit attributes (shape, rind and flesh color, yield, biochemical compounds, sugar content, and netting), and seed attributes (seed coat color and size). The findings discussed in this review will enhance demand-driven breeding to produce cultivars that benefit consumers and melon breeders.
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Affiliation(s)
- Durre Shahwar
- Department of Horticultural Bioscience, Pusan National University, Miryang 50463, Republic of Korea;
| | - Zeba Khan
- Center for Agricultural Education, Faculty of Agricultural Sciences, Aligarh Muslim University, Aligarh 202002, India;
| | - Younghoon Park
- Department of Horticultural Bioscience, Pusan National University, Miryang 50463, Republic of Korea;
- Life and Industry Convergence Research Institute, Pusan National University, Miryang 50463, Republic of Korea
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3
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Yan H, Wang K, Wang M, Feng L, Zhang H, Wei X. QTL Mapping and Genome-Wide Association Study Reveal Genetic Loci and Candidate Genes Related to Soluble Solids Content in Melon. Curr Issues Mol Biol 2023; 45:7110-7129. [PMID: 37754234 PMCID: PMC10530127 DOI: 10.3390/cimb45090450] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/21/2023] [Accepted: 08/25/2023] [Indexed: 09/28/2023] Open
Abstract
Melon (Cucumis melo L.) is an economically important Cucurbitaceae crop grown around the globe. The sweetness of melon is a significant factor in fruit quality and consumer appeal, and the soluble solids content (SSC) is a key index of melon sweetness. In this study, 146 recombinant inbred lines (RILs) derived from two oriental melon materials with different levels of sweetness containing 1427 bin markers, and 213 melon accessions containing 1,681,775 single nucleotide polymorphism (SNP) markers were used to identify genomic regions influencing SSC. Linkage mapping detected 10 quantitative trait loci (QTLs) distributed on six chromosomes, seven of which were overlapped with the reported QTLs. A total of 211 significant SNPs were identified by genome-wide association study (GWAS), 138 of which overlapped with the reported QTLs. Two new stable, co-localized regions on chromosome 3 were identified by QTL mapping and GWAS across multiple environments, which explained large phenotypic variance. Five candidate genes related to SSC were identified by QTL mapping, GWAS, and qRT-PCR, two of which were involved in hydrolysis of raffinose and sucrose located in the new stable loci. The other three candidate genes were involved in raffinose synthesis, sugar transport, and production of substrate for sugar synthesis. The genomic regions and candidate genes will be helpful for molecular breeding programs and elucidating the mechanisms of sugar accumulation.
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Campos M, Gonzalo MJ, Díaz A, Picó B, Gómez-Guillamón ML, Monforte AJ, Esteras C. A Novel Introgression Line Library Derived from a Wild Melon Gives Insights into the Genetics of Melon Domestication, Uncovering New Genetic Variability Useful for Breeding. Int J Mol Sci 2023; 24:10099. [PMID: 37373247 DOI: 10.3390/ijms241210099] [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: 05/11/2023] [Revised: 06/06/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
A collection of 30 melon introgression lines (ILs) was developed from the wild accession Ames 24297 (TRI) into 'Piel de Sapo' (PS) genetic background. Each IL carried an average of 1.4 introgressions from TRI, and the introgressions represented 91.4% of the TRI genome. Twenty-two ILs, representing 75% of the TRI genome, were evaluated in greenhouse (Algarrobo and Meliana) and field (Alcàsser) trials, mainly to study traits related to domestication syndrome such as fruit weight (FW) and flesh content (FFP), as well as other fruit quality traits as fruit shape (FS), flesh firmness (FF), soluble solid concentration (SSC), rind color and abscission layer. The IL collection showed an impressive variation in size-related traits, with FW ranging from 800 to 4100 g, reflecting the strong effect of the wild genome on these traits. Most of the ILs produced smaller fruits compared with PS; however, unexpectedly, the IL TRI05-2 produced bigger fruits, likely due to new epistatic interacions with the PS genetic background. In contrast, the genotypic effect for FS was smaller, and few QTLs with notable effects were detected. Interestingly, variability was also observed for FFP, FF and SSC, rind color and abscission layer formation. Genes in these introgressions are candidates for having been involved in melon domestication and diversification as well. These results confirm that the TRI IL collection is a very powerful tool for mapping traits of agronomic interest in melon, allowing the confirmation of previously reported QTLs and the identification of new ones to better understand the domestication process of this crop.
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Affiliation(s)
- Manuel Campos
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Consejo Superior de Investigaciones Científicas (CSIC), Universitat Politècnica de València, Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
| | - Maria José Gonzalo
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Consejo Superior de Investigaciones Científicas (CSIC), Universitat Politècnica de València, Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
| | - Aurora Díaz
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Consejo Superior de Investigaciones Científicas (CSIC), Universitat Politècnica de València, Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
- Departamento de Ciencia Vegetal, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Avda, Montañana 930, 50059 Zaragoza, Spain
- Instituto Agroalimentario de Aragón-IA2, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Universidad de Zaragoza, 50013 Zaragoza, Spain
| | - Belén Picó
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
| | - Maria Luisa Gómez-Guillamón
- Instituto de Hortofruticultura Subtropical y Mediterránea 'La Mayora' (IHSM, CSIC-UMA), Algarrobo-Costa, 29750 Málaga, Spain
| | - Antonio José Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Consejo Superior de Investigaciones Científicas (CSIC), Universitat Politècnica de València, Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
| | - Cristina Esteras
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
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Zhao H, Zhang T, Meng X, Song J, Zhang C, Gao P. Genetic Mapping and QTL Analysis of Fruit Traits in Melon ( Cucumis melo L.). Curr Issues Mol Biol 2023; 45:3419-3433. [PMID: 37185748 PMCID: PMC10137213 DOI: 10.3390/cimb45040224] [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: 03/22/2023] [Revised: 04/07/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
Melon (Cucumis melo L.) is an important horticultural cash crop and its quality traits directly affect consumer choice and market price. These traits are controlled by genetic as well as environmental factors. In this study, a quantitative trait locus (QTL) mapping strategy was used to identify the potential genetic loci controlling quality traits of melons (i.e., exocarp and pericarp firmness and soluble solid content) based on newly derived whole-genome single nucleotide polymorphism-based cleaved amplified polymorphic sequence (SNP-CAPS) markers. Specifically, SNPs of two melon varieties, M4-5 and M1-15, as revealed by whole-genome sequencing, were converted to the CAPS markers, which were used to construct a genetic linkage map comprising 12 chromosomes with a total length of 1414.88 cM, in the F2 population of M4-5 and M1-15. The six identified QTLs included: SSC6.1 and SSC11.1 related to soluble solid content; EF12.1 associated with exocarp firmness; and EPF3.1, EPF3.2 and EPF7.1 related to edible pericarp firmness. These genes were located on five chromosomes (3, 6, 7, 11, and 12) in the flanking regions of the CAPS markers. Moreover, the newly developed CAPS markers will be useful in guiding genetic engineering and molecular breeding in melon.
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Affiliation(s)
- Haiyong Zhao
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin 150030, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin 150030, China
| | - Taifeng Zhang
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin 150030, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin 150030, China
| | - Xiaobing Meng
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin 150030, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin 150030, China
| | - Jiayan Song
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin 150030, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin 150030, China
| | - Chen Zhang
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin 150030, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin 150030, China
| | - Peng Gao
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin 150030, China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin 150030, China
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6
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Thorough Characterization of ETHQB3.5, a QTL Involved in Melon Fruit Climacteric Behavior and Aroma Volatile Composition. Foods 2023; 12:foods12020376. [PMID: 36673468 PMCID: PMC9858179 DOI: 10.3390/foods12020376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 01/15/2023] Open
Abstract
The effect of the QTL involved in climacteric ripening ETHQB3.5 on the fruit VOC composition was studied using a set of Near-Isogenic Lines (NILs) containing overlapping introgressions from the Korean accession PI 16375 on the chromosome 3 in the climacteric 'Piel de Sapo' (PS) genetic background. ETHQB3.5 was mapped in an interval of 1.24 Mb that contained a NAC transcription factor. NIL fruits also showed differences in VOC composition belonging to acetate esters, non-acetate esters, and sulfur-derived families. Cosegregation of VOC composition (23 out of 48 total QTLs were mapped) and climacteric ripening was observed, suggesting a pleiotropic effect of ETHQB3.5. On the other hand, other VOCs (mainly alkanes, aldehydes, and ketones) showed a pattern of variation independent of ETHQB3.5 effects, indicating the presence of other genes controlling non-climacteric ripening VOCs. Network correlation analysis and hierarchical clustering found groups of highly correlated compounds and confirmed the involvement of the climacteric differences in compound classes and VOC differences. The modification of melon VOCs may be achieved with or without interfering with its physiological behavior, but it is likely that high relative concentrations of some type of ethylene-dependent esters could be achieved in climacteric cultivars.
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Oren E, Dafna A, Tzuri G, Halperin I, Isaacson T, Elkabetz M, Meir A, Saar U, Ohali S, La T, Romay C, Tadmor Y, Schaffer AA, Buckler ES, Cohen R, Burger J, Gur A. Pan-genome and multi-parental framework for high-resolution trait dissection in melon (Cucumis melo). THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 112:1525-1542. [PMID: 36353749 PMCID: PMC10100132 DOI: 10.1111/tpj.16021] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/27/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
Linking genotype with phenotype is a fundamental goal in biology and requires robust data for both. Recent advances in plant-genome sequencing have expedited comparisons among multiple-related individuals. The abundance of structural genomic within-species variation that has been discovered indicates that a single reference genome cannot represent the complete sequence diversity of a species, leading to the expansion of the pan-genome concept. For high-resolution forward genetics, this unprecedented access to genomic variation should be paralleled and integrated with phenotypic characterization of genetic diversity. We developed a multi-parental framework for trait dissection in melon (Cucumis melo), leveraging a novel pan-genome constructed for this highly variable cucurbit crop. A core subset of 25 diverse founders (MelonCore25), consisting of 24 accessions from the two widely cultivated subspecies of C. melo, encompassing 12 horticultural groups, and 1 feral accession was sequenced using a combination of short- and long-read technologies, and their genomes were assembled de novo. The construction of this melon pan-genome exposed substantial variation in genome size and structure, including detection of ~300 000 structural variants and ~9 million SNPs. A half-diallel derived set of 300 F2 populations, representing all possible MelonCore25 parental combinations, was constructed as a framework for trait dissection through integration with the pan-genome. We demonstrate the potential of this unified framework for genetic analysis of various melon traits, including rind color intensity and pattern, fruit sugar content, and resistance to fungal diseases. We anticipate that utilization of this integrated resource will enhance genetic dissection of important traits and accelerate melon breeding.
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Affiliation(s)
- Elad Oren
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Asaf Dafna
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of AgricultureThe Hebrew University of JerusalemRehovotIsrael
| | - Galil Tzuri
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Ilan Halperin
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Tal Isaacson
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Meital Elkabetz
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Ayala Meir
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Uzi Saar
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Shachar Ohali
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Thuy La
- Institute for Genomic Diversity, Cornell UniversityIthacaNew York14853USA
| | - Cinta Romay
- Institute for Genomic Diversity, Cornell UniversityIthacaNew York14853USA
| | - Yaakov Tadmor
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Arthur A. Schaffer
- Department of Vegetable SciencesInstitute of Plant Sciences, Agricultural Research Organization, The Volcani CenterP.O. Box 15159Rishon LeZiyyon7507101Israel
| | - Edward S. Buckler
- Institute for Genomic Diversity, Cornell UniversityIthacaNew York14853USA
- United States Department of Agriculture‐Agricultural Research ServiceRobert W. Holley Center for Agriculture and HealthIthacaNew York14853USA
| | - Roni Cohen
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Joseph Burger
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
| | - Amit Gur
- Cucurbits Section, Department of Vegetable SciencesAgricultural Research Organization, Newe Ya‘ar Research CenterP.O. Box 1021Ramat Yishay3009500Israel
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Lavale SA, Mathew D, Pradeepkumar T, Joseph John K, Joseph J. Mapping the QTL and tagging yield traits in bitter gourd (Momordica charantia L.) using microsatellite markers. BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY 2022. [DOI: 10.1016/j.bcab.2022.102553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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9
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Twayana M, Girija AM, Mohan V, Shah J. Phloem: At the center of action in plant defense against aphids. JOURNAL OF PLANT PHYSIOLOGY 2022; 273:153695. [PMID: 35468314 DOI: 10.1016/j.jplph.2022.153695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 04/04/2022] [Accepted: 04/08/2022] [Indexed: 06/14/2023]
Abstract
The location of the phloem deep inside the plant, the high hydrostatic pressure in the phloem, and the composition of phloem sap, which is rich in sugar with a high C:N ratio, allows phloem sap feeding insects to occupy a unique ecological niche. The anatomy and physiology of aphids, a large group of phytophagous insects that use their mouthparts, which are modified into stylets, to consume large amounts of phloem sap, has allowed aphids to successfully exploit this niche, however, to the detriment of agriculture and horticulture. The ability to reproduce asexually, a short generation time, the development of resistance to commonly used insecticides, and their ability to vector viral diseases makes aphids among the most damaging pests of plants. Here we review how plants utilize their ability to occlude sieve elements and accumulate antibiotic and antinutritive factors in the phloem sap to limit aphid infestation. In addition, we summarize progress on understanding how plants perceive aphids to activate defenses in the phloem.
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Affiliation(s)
- Moon Twayana
- Department of Biological Sciences and BioDiscovery Institute, University of North Texas, Denton, TX, 76210, USA.
| | - Anil M Girija
- Department of Biological Sciences and BioDiscovery Institute, University of North Texas, Denton, TX, 76210, USA.
| | - Vijee Mohan
- Department of Biological Sciences and BioDiscovery Institute, University of North Texas, Denton, TX, 76210, USA.
| | - Jyoti Shah
- Department of Biological Sciences and BioDiscovery Institute, University of North Texas, Denton, TX, 76210, USA.
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Du X, Liu H, Zhu Z, Liu S, Song Z, Xia L, Zhao J, Luan F, Liu S. Identification of Candidate Chromosome Region Related to Melon ( Cucumis melo L.) Fruit Surface Groove Trait Through Biparental Genetic Mapping and Genome-Wide Association Study. FRONTIERS IN PLANT SCIENCE 2022; 13:828287. [PMID: 35463445 PMCID: PMC9022103 DOI: 10.3389/fpls.2022.828287] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
The melon fruit surface groove (fsg) not only affects peel structure and causes stress-induced fruit cracking but also fits consumers' requirements in different regions. In this study, genetic inheritance analysis of three F2 populations derived from six parental lines revealed that the fsg trait is controlled by a simple recessive inherited gene. Through bulked segregant analysis sequencing (BSA-seq), the Cmfsg locus was detected in an 8.96 Mb interval on chromosome 11 and then initially mapped to a region of approximately 1.15 Mb. Further fine mapping with a large F2 population including 1,200 plants narrowed this region to 207 kb containing 11 genes. A genome-wide association study (GWAS) with 187 melon accessions also produced the same chromosome region for the Cmfsg locus. Due to the rare molecular markers and lack of mutations in the coding and promoter regions of the 11 candidate genes in the fine-mapped interval, we conducted in silico BSA to explore the natural melon panel to predict candidate genes for the Cmfsg locus. A 1.07 kb segment upstream of MELO3C019694.2 (annotated as the AGAMOUS MADS-box transcription factor) exhibited a correlation with the grooved and non-grooved accessions among the F2 individuals, and a natural panel consisted of 17 melon accessions. The expression level of MELO3C019694.2 in the pericarp was higher in grooved lines than in non-grooved lines and was specifically expressed in fruit compared with other tissues (female flower, male flower, root, and leaf). This work provides fundamental information for further research on melon fsg trait formation and molecular markers for melon breeding.
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Affiliation(s)
- Xin Du
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin, China
- Horticulture and Landscape Architecture College, Northeast Agricultural University, Harbin, China
| | - Hongyu Liu
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin, China
- Horticulture and Landscape Architecture College, Northeast Agricultural University, Harbin, China
| | - Zicheng Zhu
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin, China
- Horticulture and Landscape Architecture College, Northeast Agricultural University, Harbin, China
| | - Shusen Liu
- Shouguang Sanmu Seeding Co., Ltd., Shandong, China
| | | | - Lianqin Xia
- Shouguang Sanmu Seeding Co., Ltd., Shandong, China
| | - Jingchao Zhao
- Qinggang Ruixue Agriculture Co., Ltd., Heilongjiang, China
| | - Feishi Luan
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin, China
- Horticulture and Landscape Architecture College, Northeast Agricultural University, Harbin, China
| | - Shi Liu
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin, China
- Horticulture and Landscape Architecture College, Northeast Agricultural University, Harbin, China
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11
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Amanullah S, Osae BA, Yang T, Abbas F, Liu S, Liu H, Wang X, Gao P, Luan F. Mapping of genetic loci controlling fruit linked morphological traits of melon using developed CAPS markers. Mol Biol Rep 2022; 49:5459-5472. [PMID: 35235158 DOI: 10.1007/s11033-022-07263-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 02/14/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Fruit morphology traits are important commercial traits that directly affect the market value. However, studying the genetic basis of these traits in un-explored botanical groups is a fundamental objective for crop genetic improvement through marker-assisted breeding. METHODS AND RESULTS In this study, a quantitative trait loci (QTLs) mapping strategy was used for dissecting the genomic regions of fruit linked morphological traits by single nucleotide polymorphism (SNP) based cleaved amplified polymorphism sequence (CAPS) molecular markers. Next-generation sequencing was done for the genomic sequencing of two contrasted melon lines (climacteric and non-climacteric), which revealed 97% and 96% of average coverage over the reference melon genome database, respectively. A total of 57.51% non-synonymous SNPs and 42.49% synonymous SNPs were found, which produced 149 sets of codominant markers with a 24% polymorphism rate. Total 138-F2 derived plant populations were genotyped for linkage mapping and composite interval mapping based QTL mapping exposed 6 genetic loci, positioned over distinct chromosomes (02, 04, 08, 09, and 12) between the flanking intervals of CAPS markers, which explained an unlinked polygenic architecture in genome. Three minor QTLs of fruit weight (FWt2.1, FWt4.1, FWt9.1), one major QTL of fruit firmness (FrFir8.1), one major QTL of fruit length (FL12.1), and one major QTL of fruit shape (FS12.1) were determined and collectively explained the phenotypic variance from 5.64 to 15.64%. Fruit phenotypic correlation exhibited the significant relationship and principal component analysis also identified the potential variability. Multiple sequence alignments also indicated the significant base-mutations in the detected genetic loci, respectively. CONCLUSION In short, our illustrated genetic loci are expected to provide the reference insights for fine QTL mapping and candidate gene(s) mining through molecular genetic breeding approaches aimed at developing the new varieties.
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Affiliation(s)
- Sikandar Amanullah
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin, 150030, People's Republic of China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, 150030, People's Republic of China
| | - Benjamin Agyei Osae
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin, 150030, People's Republic of China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, 150030, People's Republic of China
| | - Tiantian Yang
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin, 150030, People's Republic of China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, 150030, People's Republic of China
| | - Farhat Abbas
- College of Agriculture and Life Sciences, Yunnan Urban Agricultural Engineering & Technological Research Center, Kunming University, Kunming, People's Republic of China
| | - Shi Liu
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin, 150030, People's Republic of China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, 150030, People's Republic of China
| | - Hongyu Liu
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin, 150030, People's Republic of China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, 150030, People's Republic of China
| | - Xuezheng Wang
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin, 150030, People's Republic of China
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, 150030, People's Republic of China
| | - Peng Gao
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin, 150030, People's Republic of China.
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, 150030, People's Republic of China.
| | - Feishi Luan
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, No. 600, Changjiang Road, Harbin, 150030, People's Republic of China.
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, Harbin, 150030, People's Republic of China.
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12
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Salinier J, Lefebvre V, Besombes D, Burck H, Causse M, Daunay MC, Dogimont C, Goussopoulos J, Gros C, Maisonneuve B, McLeod L, Tobal F, Stevens R. The INRAE Centre for Vegetable Germplasm: Geographically and Phenotypically Diverse Collections and Their Use in Genetics and Plant Breeding. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11030347. [PMID: 35161327 PMCID: PMC8838894 DOI: 10.3390/plants11030347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 05/14/2023]
Abstract
The French National Research Institute for Agriculture, Food and the Environment (INRAE) conserves and distributes five vegetable collections as seeds: the aubergine* (in this article the word aubergine refers to eggplant), pepper, tomato, melon and lettuce collections, together with their wild or cultivated relatives, are conserved in Avignon, France. Accessions from the collections have geographically diverse origins, are generally well-described and fixed for traits of agronomic or scientific interest and have available passport data. In addition to currently conserving over 10,000 accessions (between 900 and 3000 accessions per crop), the centre maintains scientific collections such as core collections and bi- or multi-parental populations, which have also been genotyped with SNP markers. Each collection has its own merits and highlights, which are discussed in this review: the aubergine collection is a rich source of crop wild relatives of Solanum; the pepper, melon and lettuce collections have been screened for resistance to plant pathogens, including viruses, fungi, oomycetes and insects; and the tomato collection has been at the heart of genome-wide association studies for fruit quality traits and environmental stress tolerance.
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Aamir M, Karmakar P, Singh VK, Kashyap SP, Pandey S, Singh BK, Singh PM, Singh J. A novel insight into transcriptional and epigenetic regulation underlying sex expression and flower development in melon (Cucumis melo L.). PHYSIOLOGIA PLANTARUM 2021; 173:1729-1764. [PMID: 33547804 DOI: 10.1111/ppl.13357] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 01/29/2021] [Accepted: 02/01/2021] [Indexed: 06/12/2023]
Abstract
Melon (Cucumis melo L.) is an important cucurbit and has been considered as a model plant for studying sex determination. The four most common sexual morphotypes in melon are monoecious (A-G-M), gynoecious (--ggM-), andromonoecious (A-G-mm), and hermaphrodite (--ggmm). Sex expression in melons is complex, as the genes and associated networks that govern the sex expression are not fully explored. Recently, RNA-seq transcriptomic profiling, ChIP-qPCR analysis integrated with gene ontology annotation and Kyoto Encyclopedia of Genes and Genomes pathways predicted the differentially expressed genes including sex-specific ACS and ACO genes, in regulating the sex-expression, phytohormonal cross-talk, signal transduction, and secondary metabolism in melons. Integration of transcriptional control through genetic interaction in between the ACS7, ACS11, and WIP1 in epistatic or hypostatic manner, along with the recruitment of H3K9ac and H3K27me3, epigenetically, overall determine sex expression. Alignment of protein sequences for establishing phylogenetic evolution, motif comparison, and protein-protein interaction supported the structural conservation while presence of the conserved hydrophilic and charged residues across the diverged evolutionary group predicted the functional conservation of the ACS protein. Presence of the putative cis-binding elements or DNA motifs, and its further comparison with DAP-seq-based cistrome and epicistrome of Arabidopsis, unraveled strong ancestry of melons with Arabidopsis. Motif comparison analysis also characterized putative genes and transcription factors involved in ethylene biosynthesis, signal transduction, and hormonal cross-talk related to sex expression. Overall, we have comprehensively reviewed research findings for a deeper insight into transcriptional and epigenetic regulation of sex expression and flower development in melons.
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Affiliation(s)
- Mohd Aamir
- Division of Crop Improvement, ICAR-Indian Institute of Vegetable Research (ICAR-IIVR), Varanasi, India
| | - Pradip Karmakar
- Division of Crop Improvement, ICAR-Indian Institute of Vegetable Research (ICAR-IIVR), Varanasi, India
| | - Vinay Kumar Singh
- Centre for Bioinformatics, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Sarvesh Pratap Kashyap
- Division of Crop Improvement, ICAR-Indian Institute of Vegetable Research (ICAR-IIVR), Varanasi, India
| | - Sudhakar Pandey
- Division of Crop Improvement, ICAR-Indian Institute of Vegetable Research (ICAR-IIVR), Varanasi, India
| | - Binod Kumar Singh
- Division of Crop Improvement, ICAR-Indian Institute of Vegetable Research (ICAR-IIVR), Varanasi, India
| | - Prabhakar Mohan Singh
- Division of Crop Improvement, ICAR-Indian Institute of Vegetable Research (ICAR-IIVR), Varanasi, India
| | - Jagdish Singh
- Division of Crop Improvement, ICAR-Indian Institute of Vegetable Research (ICAR-IIVR), Varanasi, India
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14
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Xu P, Wang Y, Sun F, Wu R, Du H, Wang Y, Jiang L, Wu X, Wu X, Yang L, Xing N, Hu Y, Wang B, Huang Y, Tao Y, Gao Q, Liang C, Li Y, Lu Z, Li G. Long-read genome assembly and genetic architecture of fruit shape in the bottle gourd. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 107:956-968. [PMID: 34043857 DOI: 10.1111/tpj.15358] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 05/17/2021] [Accepted: 05/20/2021] [Indexed: 06/12/2023]
Abstract
The bottle gourd (Lagenaria siceraria, Cucurbitaceae) is an important horticultural crop exhibiting tremendous diversity in fruit shape. The genetic architecture of fruit shape variation in this species remains unknown. We assembled a long-read-based, high-quality reference genome (ZAAS_Lsic_2.0) with a contig N50 value over 390-fold greater than the existing reference genomes. We then focused on dissection of fruit shape using a one-step geometric morphometrics-based functional mapping approach. We identified 11 quantitative trait loci (QTLs) responsible for fruit shape (fsQTLs), reconstructed their visible effects and revealed syntenic relationships of bottle gourd fsQTLs with 12 fsQTLs previously reported in cucumber, melon or watermelon. Homologs of several well-known and newly identified fruit shape genes, including SUN, OFP, AP2 and auxin transporters, were comapped with bottle gourd QTLs.
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Affiliation(s)
- Pei Xu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Ying Wang
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Fengshuo Sun
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Rongling Wu
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA, USA
| | - Huilong Du
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yuhong Wang
- Institute of Vegetables, Ningbo Academy of Agricultural Sciences, Ningbo, China
| | - Libo Jiang
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Xiaohua Wu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Xinyi Wu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Liming Yang
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - Nailin Xing
- Institute of Vegetables, Ningbo Academy of Agricultural Sciences, Ningbo, China
| | - Yaowen Hu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Baogen Wang
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Yunping Huang
- Institute of Vegetables, Ningbo Academy of Agricultural Sciences, Ningbo, China
| | - Ye Tao
- Biozeron Biotechnology Co., Ltd, Shanghai, China
| | - Qiang Gao
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Chengzhi Liang
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yanwei Li
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Zhongfu Lu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Guojing Li
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
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15
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Anchoring a genetic map of an interspecific backcross two family to the genome builds of Elaeis. J Genet 2021. [DOI: 10.1007/s12041-020-01240-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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16
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Chovelon V, Feriche-Linares R, Barreau G, Chadoeuf J, Callot C, Gautier V, Le Paslier MC, Berad A, Faivre-Rampant P, Lagnel J, Boissot N. Building a cluster of NLR genes conferring resistance to pests and pathogens: the story of the Vat gene cluster in cucurbits. HORTICULTURE RESEARCH 2021; 8:72. [PMID: 33790238 PMCID: PMC8012345 DOI: 10.1038/s41438-021-00507-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/15/2021] [Accepted: 02/06/2021] [Indexed: 05/03/2023]
Abstract
Most molecularly characterized plant resistance genes (R genes) belong to the nucleotide-binding-site-leucine-rich-repeat (NLR) receptor family and are prone to duplication and transposition with high sequence diversity. In this family, the Vat gene in melon is one of the few R genes known for conferring resistance to insect, i.e., Aphis gossypii, but it has been misassembled and/or mispredicted in the whole genomes of Cucurbits. We examined 14 genomic regions (about 400 kb) derived from long-read assemblies spanning Vat-related genes in Cucumis melo, Cucumis sativus, Citrullus lanatus, Benincasa hispida, Cucurbita argyrosperma, and Momordica charantia. We built the phylogeny of those genes. Investigating the paleohistory of the Vat gene cluster, we revealed a step by step process beginning from a common ancestry in cucurbits older than 50 my. We highlighted Vat exclusively in the Cucumis genera, which diverged about 20 my ago. We then focused on melon, evaluating a minimum duplication rate of Vat in 80 wild and cultivated melon lines using generalist primers; our results suggested that duplication started before melon domestication. The phylogeny of 44 Vat-CDS obtained from 21 melon lines revealed gain and loss of leucine-rich-repeat domains along diversification. Altogether, we revealed the high putative recognition scale offered in melon based on a combination of SNPs, number of leucine-rich-repeat domains within each homolog and number of homologs within each cluster that might jointly confer resistance to a large pest and pathogen spectrum. Based on our findings, we propose possible avenues for breeding programs.
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Affiliation(s)
| | | | | | | | | | | | | | - Aurélie Berad
- Université Paris-Saclay, INRAE, EPGV, 91000, Evry-Courcouronnes, France
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Lian Q, Fu Q, Xu Y, Hu Z, Zheng J, Zhang A, He Y, Wang C, Xu C, Chen B, Garcia-Mas J, Zhao G, Wang H. QTLs and candidate genes analyses for fruit size under domestication and differentiation in melon (Cucumis melo L.) based on high resolution maps. BMC PLANT BIOLOGY 2021; 21:126. [PMID: 33658004 PMCID: PMC7931605 DOI: 10.1186/s12870-021-02904-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 02/24/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Melon is a very important horticultural crop produced worldwide with high phenotypic diversity. Fruit size is among the most important domestication and differentiation traits in melon. The molecular mechanisms of fruit size in melon are largely unknown. RESULTS Two high-density genetic maps were constructed by whole-genome resequencing with two F2 segregating populations (WAP and MAP) derived from two crosses (cultivated agrestis × wild agrestis and cultivated melo × cultivated agrestis). We obtained 1,871,671 and 1,976,589 high quality SNPs that show differences between parents in WAP and MAP. A total of 5138 and 5839 recombination events generated 954 bins in WAP and 1027 bins in MAP with the average size of 321.3 Kb and 301.4 Kb respectively. All bins were mapped onto 12 linkage groups in WAP and MAP. The total lengths of two linkage maps were 904.4 cM (WAP) and 874.5 cM (MAP), covering 86.6% and 87.4% of the melon genome. Two loci for fruit size were identified on chromosome 11 in WAP and chromosome 5 in MAP, respectively. An auxin response factor and a YABBY transcription factor were inferred to be the candidate genes for both loci. CONCLUSION The high-resolution genetic maps and QTLs analyses for fruit size described here will provide a better understanding the genetic basis of domestication and differentiation, and provide a valuable tool for map-based cloning and molecular marker assisted breeding.
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Affiliation(s)
- Qun Lian
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China
| | - Qiushi Fu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Yongyang Xu
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Zhicheng Hu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Jing Zheng
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Aiai Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Yuhua He
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Changsheng Wang
- National Center for Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Shanghai, 200000, China
| | - Chuanqiang Xu
- Shenyang Agricultural University, College of Horticulture, Shenyang, 110866, China
| | - Benxue Chen
- Design Gollege, Zhoukou Normal University, Zhoukou, 466000, China
| | - Jordi Garcia-Mas
- Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Barcelona, Spain
| | - Guangwei Zhao
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
| | - Huaisong Wang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China.
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Quezada M, Amadeu RR, Vignale B, Cabrera D, Pritsch C, Garcia AAF. Construction of a High-Density Genetic Map of Acca sellowiana (Berg.) Burret, an Outcrossing Species, Based on Two Connected Mapping Populations. FRONTIERS IN PLANT SCIENCE 2021; 12:626811. [PMID: 33708232 PMCID: PMC7940835 DOI: 10.3389/fpls.2021.626811] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/12/2021] [Indexed: 06/12/2023]
Abstract
Acca sellowiana, known as feijoa or pineapple guava, is a diploid, (2n = 2x = 22) outcrossing fruit tree species native to Uruguay and Brazil. The species stands out for its highly aromatic fruits, with nutraceutical and therapeutic value. Despite its promising agronomical value, genetic studies on this species are limited. Linkage genetic maps are valuable tools for genetic and genomic studies, and constitute essential tools in breeding programs to support the development of molecular breeding strategies. A high-density composite genetic linkage map of A. sellowiana was constructed using two genetically connected populations: H5 (TCO × BR, N = 160) and H6 (TCO × DP, N = 184). Genotyping by sequencing (GBS) approach was successfully applied for developing single nucleotide polymorphism (SNP) markers. A total of 4,921 SNP markers were identified using the reference genome of the closely related species Eucalyptus grandis, whereas other 4,656 SNPs were discovered using a de novo pipeline. The individual H5 and H6 maps comprised 1,236 and 1,302 markers distributed over the expected 11 linkage groups, respectively. These two maps spanned a map length of 1,593 and 1,572 cM, with an average inter-marker distance of 1.29 and 1.21 cM, respectively. A large proportion of markers were common to both maps and showed a high degree of collinearity. The composite map consisted of 1,897 SNPs markers with a total map length of 1,314 cM and an average inter-marker distance of 0.69. A novel approach for the construction of composite maps where the meiosis information of individuals of two connected populations is captured in a single estimator is described. A high-density, accurate composite map based on a consensus ordering of markers provides a valuable contribution for future genetic research and breeding efforts in A. sellowiana. A novel mapping approach based on an estimation of multipopulation recombination fraction described here may be applied in the construction of dense composite genetic maps for any other outcrossing diploid species.
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Affiliation(s)
- Marianella Quezada
- Laboratorio de Biotecnología, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Rodrigo Rampazo Amadeu
- Laboratório de Genética Estatística, Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, Brazil
| | - Beatriz Vignale
- Mejoramiento Genético, Departamento de Producción Vegetal, Estación Experimental de la Facultad de Agronomía, Universidad de la República, Salto, Uruguay
| | - Danilo Cabrera
- Programa de Investigación en Producción Fruticola, Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental “Wilson Ferreira Aldunate”, Canelones, Uruguay
| | - Clara Pritsch
- Laboratorio de Biotecnología, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Antonio Augusto Franco Garcia
- Laboratório de Genética Estatística, Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, Brazil
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Pereira L, Santo Domingo M, Ruggieri V, Argyris J, Phillips MA, Zhao G, Lian Q, Xu Y, He Y, Huang S, Pujol M, Garcia-Mas J. Genetic dissection of climacteric fruit ripening in a melon population segregating for ripening behavior. HORTICULTURE RESEARCH 2020; 7:187. [PMID: 33328460 PMCID: PMC7603510 DOI: 10.1038/s41438-020-00411-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 08/04/2020] [Accepted: 09/16/2020] [Indexed: 05/10/2023]
Abstract
Melon is as an alternative model to understand fruit ripening due to the coexistence of climacteric and non-climacteric varieties within the same species, allowing the study of the processes that regulate this complex trait with genetic approaches. We phenotyped a population of recombinant inbred lines (RILs), obtained by crossing a climacteric (Védrantais, cantalupensis type) and a non-climcteric variety (Piel de Sapo T111, inodorus type), for traits related to climacteric maturation and ethylene production. Individuals in the RIL population exhibited various combinations of phenotypes that differed in the amount of ethylene produced, the early onset of ethylene production, and other phenotypes associated with ripening. We characterized a major QTL on chromosome 8, ETHQV8.1, which is sufficient to activate climacteric ripening, and other minor QTLs that may modulate the climacteric response. The ETHQV8.1 allele was validated by using two reciprocal introgression line populations generated by crossing Védrantais and Piel de Sapo and analyzing the ETHQV8.1 region in each of the genetic backgrounds. A Genome-wide association study (GWAS) using 211 accessions of the ssp. melo further identified two regions on chromosome 8 associated with the production of aromas, one of these regions overlapping with the 154.1 kb interval containing ETHQV8.1. The ETHQV8.1 region contains several candidate genes that may be related to fruit ripening. This work sheds light into the regulation mechanisms of a complex trait such as fruit ripening.
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Affiliation(s)
- Lara Pereira
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Cerdanyola, Barcelona, Spain
| | - Miguel Santo Domingo
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Cerdanyola, Barcelona, Spain
| | - Valentino Ruggieri
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Edifici CRAG, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - Jason Argyris
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Edifici CRAG, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - Michael A Phillips
- Department of Biology, University of Toronto-Mississauga, Mississauga, ON, L5L 1C6, Canada
| | - Guangwei Zhao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Qun Lian
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yongyang Xu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Yuhua He
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Sanwen Huang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Marta Pujol
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Edifici CRAG, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - Jordi Garcia-Mas
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Cerdanyola, Barcelona, Spain.
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Edifici CRAG, Campus UAB, 08193 Cerdanyola, Barcelona, Spain.
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Salgotra RK, Stewart CN. Functional Markers for Precision Plant Breeding. Int J Mol Sci 2020; 21:E4792. [PMID: 32640763 PMCID: PMC7370099 DOI: 10.3390/ijms21134792] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/19/2020] [Accepted: 07/02/2020] [Indexed: 01/24/2023] Open
Abstract
Advances in molecular biology including genomics, high-throughput sequencing, and genome editing enable increasingly faster and more precise cultivar development. Identifying genes and functional markers (FMs) that are highly associated with plant phenotypic variation is a grand challenge. Functional genomics approaches such as transcriptomics, targeting induced local lesions in genomes (TILLING), homologous recombinant (HR), association mapping, and allele mining are all strategies to identify FMs for breeding goals, such as agronomic traits and biotic and abiotic stress resistance. The advantage of FMs over other markers used in plant breeding is the close genomic association of an FM with a phenotype. Thereby, FMs may facilitate the direct selection of genes associated with phenotypic traits, which serves to increase selection efficiencies to develop varieties. Herein, we review the latest methods in FM development and how FMs are being used in precision breeding for agronomic and quality traits as well as in breeding for biotic and abiotic stress resistance using marker assisted selection (MAS) methods. In summary, this article describes the use of FMs in breeding for development of elite crop cultivars to enhance global food security goals.
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Affiliation(s)
- Romesh K. Salgotra
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu, Chatha, Jammu 190008, India
| | - C. Neal Stewart
- Department of Plant Sciences, University of Tennessee, Knoxville, TN 37996, USA
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21
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Oren E, Tzuri G, Dafna A, Meir A, Kumar R, Katzir N, Elkind Y, Freilich S, Schaffer AA, Tadmor Y, Burger J, Gur A. High-density NGS-based map construction and genetic dissection of fruit shape and rind netting in Cucumis melo. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1927-1945. [PMID: 32100072 DOI: 10.1007/s00122-020-03567-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 02/17/2020] [Indexed: 05/06/2023]
Abstract
Melon is an important crop that exhibits broad variation for fruit morphology traits that are the substrate for genetic mapping efforts. In the post-genomic era, the link between genetic maps and physical genome assemblies is key for leveraging QTL mapping results for gene cloning and breeding purposes. Here, using a population of 164 melon recombinant inbred lines (RILs) that were subjected to genotyping-by-sequencing, we constructed and compared high-density sequence- and linkage-based recombination maps that were aligned to the reference melon genome. These analyses reveal the genome-wide variation in recombination frequency and highlight regions of disrupted collinearity between our population and the reference genome. The population was phenotyped over 3 years for fruit size and shape as well as rind netting. Four QTLs were detected for fruit size, and they act in an additive manner, while significant epistatic interaction was found between two neutral loci for this trait. Fruit shape displayed transgressive segregation that was explained by the action of four QTLs, contributed by alleles from both parents. The complexity of rind netting was demonstrated on a collection of 177 diverse accessions. Further dissection of netting in our RILs population, which is derived from a cross of smooth and densely netted parents, confirmed the intricacy of this trait and the involvement of major locus and several other interacting QTLs. A major netting QTL on chromosome 2 co-localized with results from two additional populations, paving the way for future study toward identification of a causative gene for this trait.
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Affiliation(s)
- Elad Oren
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Galil Tzuri
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
| | - Asaf Dafna
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
| | - Ayala Meir
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
| | - Ravindra Kumar
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
| | - Nurit Katzir
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
| | - Yonatan Elkind
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Shiri Freilich
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
| | - Arthur A Schaffer
- Plant Science Institute, Agricultural Research Organization, The Volcani Center, P.O. Box 15159, 7507101, Rishon LeZiyyon, Israel
| | - Yaakov Tadmor
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
| | - Joseph Burger
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel
| | - Amit Gur
- Plant Science Institute, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, 3009500, Ramat Yishay, Israel.
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22
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Moing A, Allwood JW, Aharoni A, Baker J, Beale MH, Ben-Dor S, Biais B, Brigante F, Burger Y, Deborde C, Erban A, Faigenboim A, Gur A, Goodacre R, Hansen TH, Jacob D, Katzir N, Kopka J, Lewinsohn E, Maucourt M, Meir S, Miller S, Mumm R, Oren E, Paris HS, Rogachev I, Rolin D, Saar U, Schjoerring JK, Tadmor Y, Tzuri G, de Vos RC, Ward JL, Yeselson E, Hall RD, Schaffer AA. Comparative Metabolomics and Molecular Phylogenetics of Melon ( Cucumis melo, Cucurbitaceae) Biodiversity. Metabolites 2020; 10:metabo10030121. [PMID: 32213984 PMCID: PMC7143154 DOI: 10.3390/metabo10030121] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/19/2020] [Accepted: 03/20/2020] [Indexed: 01/04/2023] Open
Abstract
The broad variability of Cucumis melo (melon, Cucurbitaceae) presents a challenge to conventional classification and organization within the species. To shed further light on the infraspecific relationships within C. melo, we compared genotypic and metabolomic similarities among 44 accessions representative of most of the cultivar-groups. Genotyping-by-sequencing (GBS) provided over 20,000 single-nucleotide polymorphisms (SNPs). Metabolomics data of the mature fruit flesh and rind provided over 80,000 metabolomic and elemental features via an orchestra of six complementary metabolomic platforms. These technologies probed polar, semi-polar, and non-polar metabolite fractions as well as a set of mineral elements and included both flavor- and taste-relevant volatile and non-volatile metabolites. Together these results enabled an estimate of "metabolomic/elemental distance" and its correlation with the genetic GBS distance of melon accessions. This study indicates that extensive and non-targeted metabolomics/elemental characterization produced classifications that strongly, but not completely, reflect the current and extensive genetic classification. Certain melon Groups, such as Inodorous, clustered in parallel with the genetic classifications while other genome to metabolome/element associations proved less clear. We suggest that the combined genomic, metabolic, and element data reflect the extensive sexual compatibility among melon accessions and the breeding history that has, for example, targeted metabolic quality traits, such as taste and flavor.
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Affiliation(s)
- Annick Moing
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - J. William Allwood
- The James Hutton Institute, Environmental & Biochemical Sciences, Invergowrie, Dundee, DD2 5DA Scotland, UK;
| | - Asaph Aharoni
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.A.); (S.M.); (S.B.-D.)
| | - John Baker
- Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; (J.B.); (M.H.B.); (S.M.); (J.L.W.)
| | - Michael H. Beale
- Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; (J.B.); (M.H.B.); (S.M.); (J.L.W.)
| | - Shifra Ben-Dor
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.A.); (S.M.); (S.B.-D.)
| | - Benoît Biais
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Federico Brigante
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany; (F.B.); (A.E.); (J.K.)
- Universidad Nacional de Córdoba, Facultad de Ciencias Químicas, Dto. Química Orgánica, Córdoba 5000, Argentina
- CONICET, ICYTAC (Instituto de Ciencia y Tecnologia de Alimentos Córdoba), Córdoba 5000, Argentina
| | - Yosef Burger
- Institute of Plant Science, Agricultural Research Organization—Volcani Center, Rishon LeZiyyon 7515101, Israel; (Y.B.); (A.F.); (E.Y.)
| | - Catherine Deborde
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Alexander Erban
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany; (F.B.); (A.E.); (J.K.)
| | - Adi Faigenboim
- Institute of Plant Science, Agricultural Research Organization—Volcani Center, Rishon LeZiyyon 7515101, Israel; (Y.B.); (A.F.); (E.Y.)
| | - Amit Gur
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Royston Goodacre
- Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK;
| | - Thomas H. Hansen
- Department of Plant and Environmental Sciences & Copenhagen Plant Science Center, Faculty of Science, University of Copenhagen, DK-1871 Frederiksberg C, Denmark; (T.H.H.); (J.K.S.)
| | - Daniel Jacob
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Nurit Katzir
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Joachim Kopka
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany; (F.B.); (A.E.); (J.K.)
| | - Efraim Lewinsohn
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Mickael Maucourt
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Sagit Meir
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.A.); (S.M.); (S.B.-D.)
| | - Sonia Miller
- Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; (J.B.); (M.H.B.); (S.M.); (J.L.W.)
| | - Roland Mumm
- Business Unit Bioscience, Wageningen University & Research, Post Box 16, 6700AA, Wageningen, Netherlands; (R.M.); (R.D.H.)
| | - Elad Oren
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Harry S. Paris
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Ilana Rogachev
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.A.); (S.M.); (S.B.-D.)
| | - Dominique Rolin
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Uzi Saar
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Jan K. Schjoerring
- Department of Plant and Environmental Sciences & Copenhagen Plant Science Center, Faculty of Science, University of Copenhagen, DK-1871 Frederiksberg C, Denmark; (T.H.H.); (J.K.S.)
| | - Yaakov Tadmor
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Galil Tzuri
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Ric C.H. de Vos
- Business Unit Bioscience, Wageningen University & Research, Post Box 16, 6700AA, Wageningen, Netherlands; (R.M.); (R.D.H.)
| | - Jane L. Ward
- Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; (J.B.); (M.H.B.); (S.M.); (J.L.W.)
| | - Elena Yeselson
- Institute of Plant Science, Agricultural Research Organization—Volcani Center, Rishon LeZiyyon 7515101, Israel; (Y.B.); (A.F.); (E.Y.)
| | - Robert D. Hall
- Business Unit Bioscience, Wageningen University & Research, Post Box 16, 6700AA, Wageningen, Netherlands; (R.M.); (R.D.H.)
- Department of Plant Physiology, Wageningen University & Research, Laboratory of Plant Physiology, Post Box 16, 6700AA, Wageningen, Netherlands
| | - Arthur A. Schaffer
- Institute of Plant Science, Agricultural Research Organization—Volcani Center, Rishon LeZiyyon 7515101, Israel; (Y.B.); (A.F.); (E.Y.)
- Correspondence: ; Tel.: + 972(3)9683646
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23
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Guo Y, Gao M, Liang X, Xu M, Liu X, Zhang Y, Liu X, Liu J, Gao Y, Qu S, Luan F. Quantitative Trait Loci for Seed Size Variation in Cucurbits - A Review. FRONTIERS IN PLANT SCIENCE 2020; 11:304. [PMID: 32265957 PMCID: PMC7099056 DOI: 10.3389/fpls.2020.00304] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 03/03/2020] [Indexed: 05/17/2023]
Abstract
Cucurbits (Cucurbitaceae family) include many economically important fruit vegetable crops such as watermelon, pumpkin/squash, cucumber, and melon. Seed size (SS) is an important trait in cucurbits breeding, which is controlled by quantitative trait loci (QTL). Recent advances have deciphered several signaling pathways underlying seed size variation in model plants such as Arabidopsis and rice, but little is known on the genetic basis of SS variation in cucurbits. Here we conducted literature review on seed size QTL identified in watermelon, pumpkin/squash, cucumber and melon, and inferred 14, 9 and 13 consensus SS QTL based on their physical positions in respective draft genomes. Among them, four from watermelon (ClSS2.2, ClSS6.1, ClSS6.2, and ClSS8.2), two from cucumber (CsSS4.1 and CsSS5.1), and one from melon (CmSS11.1) were major-effect, stable QTL for seed size and weight. Whole genome sequence alignment revealed that these major-effect QTL were located in syntenic regions across different genomes suggesting possible structural and functional conservation of some important genes for seed size control in cucurbit crops. Annotation of genes in the four watermelon consensus SS QTL regions identified genes that are known to play important roles in seed size control including members of the zinc finger protein and the E3 ubiquitin-protein ligase families. The present work highlights the utility of comparative analysis in understanding the genetic basis of seed size variation, which may help future mapping and cloning of seed size QTL in cucurbits.
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Affiliation(s)
- Yu Guo
- College of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, China
- Heilongjiang Provincial Key Laboratory of Resistance Gene Engineering and Preservation of Biodiversity in Cold Areas, Qiqihar, China
| | - Meiling Gao
- College of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, China
- Heilongjiang Provincial Key Laboratory of Resistance Gene Engineering and Preservation of Biodiversity in Cold Areas, Qiqihar, China
| | - Xiaoxue Liang
- College of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, China
| | - Ming Xu
- College of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, China
| | - Xiaosong Liu
- College of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, China
| | - Yanling Zhang
- College of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, China
| | - Xiujie Liu
- Qiqihar Horticultural Research Institute, Qiqihar, China
| | - Jixiu Liu
- Qiqihar Horticultural Research Institute, Qiqihar, China
| | - Yue Gao
- Qiqihar Horticultural Research Institute, Qiqihar, China
| | - Shuping Qu
- College of Horticulture, Landscape Architecture, Northeast Agricultural University, Harbin, China
| | - Feishi Luan
- College of Horticulture, Landscape Architecture, Northeast Agricultural University, Harbin, China
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24
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Zou C, Karn A, Reisch B, Nguyen A, Sun Y, Bao Y, Campbell MS, Church D, Williams S, Xu X, Ledbetter CA, Patel S, Fennell A, Glaubitz JC, Clark M, Ware D, Londo JP, Sun Q, Cadle-Davidson L. Haplotyping the Vitis collinear core genome with rhAmpSeq improves marker transferability in a diverse genus. Nat Commun 2020; 11:413. [PMID: 31964885 PMCID: PMC6972940 DOI: 10.1038/s41467-019-14280-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 12/19/2019] [Indexed: 01/05/2023] Open
Abstract
Transferable DNA markers are essential for breeding and genetics. Grapevine (Vitis) breeders utilize disease resistance alleles from congeneric species ~20 million years divergent, but existing Vitis marker platforms have cross-species transfer rates as low as 2%. Here, we apply a marker strategy targeting the inferred Vitis core genome. Incorporating seven linked-read de novo assemblies and three existing assemblies, the Vitis collinear core genome is estimated to converge at 39.8 Mb (8.67% of the genome). Adding shotgun genome sequences from 40 accessions enables identification of conserved core PCR primer binding sites flanking polymorphic haplotypes with high information content. From these target regions, we develop 2,000 rhAmpSeq markers as a PCR multiplex and validate the panel in four biparental populations spanning the diversity of the Vitis genus, showing transferability increases to 91.9%. This marker development strategy should be widely applicable for genetic studies in many taxa, particularly those ~20 million years divergent.
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Affiliation(s)
- Cheng Zou
- BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, Ithaca, NY, 14853, USA
| | - Avinash Karn
- School of Integrative Plant Science, Cornell AgriTech, Cornell University, Geneva, NY, 14456, USA
| | - Bruce Reisch
- School of Integrative Plant Science, Cornell AgriTech, Cornell University, Geneva, NY, 14456, USA
| | - Allen Nguyen
- Integrated DNA Technologies, Redwood City, CA, 94063, USA
| | - Yongming Sun
- Integrated DNA Technologies, Redwood City, CA, 94063, USA
| | - Yun Bao
- Integrated DNA Technologies, Redwood City, CA, 94063, USA
| | | | | | | | - Xia Xu
- USDA-ARS, Grape Genetics Research Unit, Geneva, NY, 14456, USA
| | - Craig A Ledbetter
- USDA-ARS, Crop Diseases, Pests and Genetics Research, Parlier, CA, 93648, USA
| | - Sagar Patel
- Agronomy, Horticulture and Plant Science Department, South Dakota State University, Brookings, SD, 57007, USA
| | - Anne Fennell
- Agronomy, Horticulture and Plant Science Department, South Dakota State University, Brookings, SD, 57007, USA
| | - Jeffrey C Glaubitz
- BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, Ithaca, NY, 14853, USA
| | - Matthew Clark
- Department of Horticultural Science, University of Minnesota, Saint Paul, MN, 55108, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA
- USDA-ARS, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, 14853, USA
| | - Jason P Londo
- USDA-ARS, Grape Genetics Research Unit, Geneva, NY, 14456, USA
| | - Qi Sun
- BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, Ithaca, NY, 14853, USA
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25
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Pan Y, Wang Y, McGregor C, Liu S, Luan F, Gao M, Weng Y. Genetic architecture of fruit size and shape variation in cucurbits: a comparative perspective. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1-21. [PMID: 31768603 DOI: 10.1007/s00122-019-03481-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Accepted: 11/11/2019] [Indexed: 05/28/2023]
Abstract
The Cucurbitaceae family hosts many economically important fruit vegetables (cucurbits) such as cucumber, melon, watermelon, pumpkin/squash, and various gourds. The cucurbits are probably best known for the diverse fruit sizes and shapes, but little is known about their genetic basis and molecular regulation. Here, we reviewed the literature on fruit size (FS), shape (FSI), and fruit weight (FW) QTL identified in cucumber, melon, and watermelon, from which 150 consensus QTL for these traits were inferred. Genome-wide survey of the three cucurbit genomes identified 253 homologs of eight classes of fruit or grain size/weight-related genes cloned in Arabidopsis, tomato, and rice that encode proteins containing the characteristic CNR (cell number regulator), CSR (cell size regulator), CYP78A (cytochrome P450), SUN, OVATE, TRM (TONNEAU1 Recruiting Motif), YABBY, and WOX domains. Alignment of the consensus QTL with candidate gene homologs revealed widespread structure and function conservation of fruit size/shape gene homologs in cucurbits, which was exemplified with the fruit size/shape candidate genes CsSUN25-26-27a and CsTRM5 in cucumber, CmOFP1a in melon, and ClSUN25-26-27a in watermelon. In cucurbits, the andromonoecy (for 1-aminocyclopropane-1-carboxylate synthase) and the carpel number (for CLAVATA3) loci are known to have pleiotropic effects on fruit shape, which may complicate identification of fruit size/shape candidate genes in these regions. The present work illustrates the power of comparative analysis in understanding the genetic architecture of fruit size/shape variation, which may facilitate QTL mapping and cloning for fruit size-related traits in cucurbits. The limitations and perspectives of this approach are also discussed.
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Affiliation(s)
- Yupeng Pan
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
- College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi Province, China
| | - Yuhui Wang
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Cecilia McGregor
- Department of Horticulture and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, 30602, USA
| | - Shi Liu
- College of Horticulture and, Landscape Architecture at Northeast Agricultural University, Harbin, 150030, China
| | - Feishi Luan
- College of Horticulture and, Landscape Architecture at Northeast Agricultural University, Harbin, 150030, China
| | - Meiling Gao
- College of Life Science, Agriculture and Forestry, Qiqihar University, Qiqihar, 161006, China
| | - Yiqun Weng
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA.
- USDA-ARS Vegetable Crops Research Unit, 1575 Linden Dr., Madison, WI, 53706, USA.
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26
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Zhang H, Li X, Yu H, Zhang Y, Li M, Wang H, Wang D, Wang H, Fu Q, Liu M, Ji C, Ma L, Tang J, Li S, Miao J, Zheng H, Yi H. A High-Quality Melon Genome Assembly Provides Insights into Genetic Basis of Fruit Trait Improvement. iScience 2019; 22:16-27. [PMID: 31739171 PMCID: PMC6864349 DOI: 10.1016/j.isci.2019.10.049] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 09/23/2019] [Accepted: 10/24/2019] [Indexed: 01/28/2023] Open
Abstract
Accurate reference genomes have become indispensable tools for characterization of genetic and functional variations. Here we generated a high-quality assembly of the melon Payzawat using a combination of short-read sequencing, single-molecule real-time sequencing, Hi-C, and a high-density genetic map. The final 12 chromosome-level scaffolds cover ∼94.13% of the estimated genome (398.57 Mb). Compared with the published DHL92 genome, our assembly exhibits a 157-fold increase in contig length and remarkable improvements in the assembly of centromeres and telomeres. Six genes within STHQF12.4 on pseudochromosome 12, identified from whole-genome comparison between Payzawat and DHL92, may explain a considerable proportion of the skin thickness. In addition, our population study showed that melon domesticated at multiple times from whole-genome perspective and melons in China are introduced from different routes. Selective sweeps underlying the genes related to desirable traits, haplotypes of alleles associated with agronomic traits, and the variants from resequencing data enable efficient breeding. Provides a high-quality assembly for melon genome Explains a considerable proportion of epidermis thickness Melons in China are introduced from different routes Haplotypes of alleles associated with agronomic traits enable efficient breeding
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Affiliation(s)
- Hong Zhang
- Hami Melon Research Center, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang 830091, China
| | - Xuming Li
- Biomarker Technologies Corporation, Beijing 101200, China
| | - Haiyan Yu
- Biomarker Technologies Corporation, Beijing 101200, China
| | - Yongbing Zhang
- Hami Melon Research Center, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang 830091, China
| | - Meihua Li
- Hami Melon Research Center, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang 830091, China
| | - Haojie Wang
- Hami Melon Research Center, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang 830091, China
| | - Dengming Wang
- Hami Melon Research Center, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang 830091, China
| | - Huaisong Wang
- The Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Qiushi Fu
- The Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Min Liu
- Biomarker Technologies Corporation, Beijing 101200, China
| | - Changmian Ji
- Biomarker Technologies Corporation, Beijing 101200, China
| | - Liming Ma
- Biomarker Technologies Corporation, Beijing 101200, China
| | - Juan Tang
- Biomarker Technologies Corporation, Beijing 101200, China
| | - Song Li
- Biomarker Technologies Corporation, Beijing 101200, China
| | - Jianshun Miao
- Biomarker Technologies Corporation, Beijing 101200, China
| | - Hongkun Zheng
- Biomarker Technologies Corporation, Beijing 101200, China.
| | - Hongping Yi
- Hami Melon Research Center, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang 830091, China.
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Oren E, Tzuri G, Vexler L, Dafna A, Meir A, Faigenboim A, Kenigswald M, Portnoy V, Schaffer AA, Levi A, Buckler ES, Katzir N, Burger J, Tadmor Y, Gur A. The multi-allelic APRR2 gene is associated with fruit pigment accumulation in melon and watermelon. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:3781-3794. [PMID: 31175368 PMCID: PMC6685648 DOI: 10.1093/jxb/erz182] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 04/17/2019] [Indexed: 05/21/2023]
Abstract
Color and pigment contents are important aspects of fruit quality and consumer acceptance of cucurbit crops. Here, we describe the independent mapping and cloning of a common causative APRR2 gene regulating pigment accumulation in melon and watermelon. We initially show that the APRR2 transcription factor is causative for the qualitative difference between dark and light green rind in both crops. Further analyses establish the link between sequence or expression level variations in the CmAPRR2 gene and pigment content in the rind and flesh of mature melon fruits. A genome-wide association study (GWAS) of young fruit rind color in a panel composed of 177 diverse melon accessions did not result in any significant association, leading to an earlier assumption that multiple genes are involved in shaping the overall phenotypic variation in this trait. Through resequencing of 25 representative accessions and allelism tests between light rind accessions, we show that multiple independent single nucleotide polymorphisms in the CmAPRR2 gene are causative of the light rind phenotype. The multi-haplotypic nature of this gene explains the lack of detection power obtained through genotyping by sequencing-based GWAS and confirms the pivotal role of this gene in shaping fruit color variation in melon. This study demonstrates the power of combining bi- and multi-allelic designs with deep sequencing, to resolve lack of power due to high haplotypic diversity and low allele frequencies. Due to its central role and broad effect on pigment accumulation in fruits, the APRR2 gene is an attractive target for carotenoid bio-fortification of cucurbit crops.
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Affiliation(s)
- Elad Oren
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Galil Tzuri
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
| | - Lea Vexler
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Asaf Dafna
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Ayala Meir
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
| | - Adi Faigenboim
- Plant Science Institute, Agricultural Research Organization, The Volcani Center, Rishon LeZiyyon, Israel
| | - Merav Kenigswald
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
- Plant Science Institute, Agricultural Research Organization, The Volcani Center, Rishon LeZiyyon, Israel
| | - Vitaly Portnoy
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
| | - Arthur A Schaffer
- Plant Science Institute, Agricultural Research Organization, The Volcani Center, Rishon LeZiyyon, Israel
| | - Amnon Levi
- United States Department of Agriculture-Agricultural Research Service, US Vegetable Laboratory, Charleston, SC, USA
| | - Edward S Buckler
- Plant Breeding and Genetics Section, Cornell University, Ithaca, NY, USA
- United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, USA
| | - Nurit Katzir
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
| | - Joseph Burger
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
| | - Yaakov Tadmor
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
| | - Amit Gur
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, Ramat Yishay, Israel
- Correspondence:
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28
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Microsatellite Markers Reveal Genetic Diversity and Relationships within a Melon Collection Mainly Comprising Asian Cultivated and Wild Germplasms. BIOMED RESEARCH INTERNATIONAL 2019; 2019:7495609. [PMID: 30886863 PMCID: PMC6388322 DOI: 10.1155/2019/7495609] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 11/29/2018] [Accepted: 12/12/2018] [Indexed: 11/30/2022]
Abstract
Melon, Cucumis melo L., is an important horticultural crop with abundant morphological variability, but the genetic diversity and relationships within wild and cultivated melons remain unclear to date. In this study, thick-skinned (TC) (cultivated subspecies melo), thin-skinned (TN) (cultivated subspecies agrestis), and wild accessions were analyzed for genetic diversity and relationships using 36 microsatellite markers. A total of 314 alleles were detected with a mean allelic number of 8.72 and polymorphism information content of 0.67. Cluster analysis of the accessions resulted in four distinct clusters (I, II, III, and IV) broadly matching with the TC, TN, and wild groups. Cluster I contained only two Indian wild accessions. Cluster II was consisted of 49 South Asian accessions, 34 wild accessions, and 15 TN accessions. Cluster III was a typical TC group including 51 multiorigin TC accessions and one wild accession. The remaining 88 accessions, including 75 TN accessions, 6 wild accessions, and 7 TC accessions, formed the cluster IV, and all the TN and wild accessions in this cluster were from China. These findings were also confirmed by Principal component analysis and STRUCTURE analysis. The South Asian subspecies agrestis accessions, wild and cultivated, had close genetic relationships with a distinctive genetic background. Chinese wild melons showed closeness to cultivated subspecies agrestis landraces and could be a return from the indigenous cultivated melons. The AMOVA and pairwise F statistics (FST) presented genetic differentiation among the three groups, with the strongest differentiation (FST = 0.380) between TC and TN melons. These results offer overall information on genetic diversity and affiliations within a variety of melon germplasms and favor efficient organization and utilization of these resources for the current breeding purpose.
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Pereira L, Ruggieri V, Pérez S, Alexiou KG, Fernández M, Jahrmann T, Pujol M, Garcia-Mas J. QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map. BMC PLANT BIOLOGY 2018; 18:324. [PMID: 30509167 PMCID: PMC6278158 DOI: 10.1186/s12870-018-1537-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 11/19/2018] [Indexed: 05/22/2023]
Abstract
BACKGROUND Melon shows a broad diversity in fruit morphology and quality, which is still underexploited in breeding programs. The knowledge of the genetic basis of fruit quality traits is important for identifying new alleles that may be introduced in elite material by highly efficient molecular breeding tools. RESULTS In order to identify QTLs controlling fruit quality, a recombinant inbred line population was developed using two commercial cultivars as parental lines: "Védrantais", from the cantalupensis group, and "Piel de Sapo", from the inodorus group. Both have desirable quality traits for the market, but their fruits differ in traits such as rind and flesh color, sugar content, ripening behavior, size and shape. We used a genotyping-by-sequencing strategy to construct a dense genetic map, which included around five thousand variants distributed in 824 bins. The RIL population was phenotyped for quality and morphology traits, and we mapped 33 stable QTLs involved in sugar and carotenoid content, fruit and seed morphology and major loci controlling external color of immature fruit and mottled rind. The median confidence interval of the QTLs was 942 kb, suggesting that the high density of the genetic map helped in increasing the mapping resolution. Some of these intervals contained less than a hundred annotated genes, and an integrative strategy combining gene expression and resequencing data enabled identification of candidate genes for some of these traits. CONCLUSION Several QTLs controlling fruit quality traits in melon were identified and delimited to narrow genomic intervals, using a RIL population and a GBS-based genetic map.
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Affiliation(s)
- L. Pereira
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - V. Ruggieri
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - S. Pérez
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - K. G. Alexiou
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - M. Fernández
- Semillas Fitó S.A., 08348 Cabrera de Mar, Barcelona, Spain
| | - T. Jahrmann
- Semillas Fitó S.A., 08348 Cabrera de Mar, Barcelona, Spain
| | - M. Pujol
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Campus UAB, 08193 Cerdanyola, Barcelona, Spain
| | - J. Garcia-Mas
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Cerdanyola, Barcelona, Spain
- IRTA (Institut de Recerca i Tecnologia Agroalimentàries), Campus UAB, 08193 Cerdanyola, Barcelona, Spain
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da Silva Linge C, Antanaviciute L, Abdelghafar A, Arús P, Bassi D, Rossini L, Ficklin S, Gasic K. High-density multi-population consensus genetic linkage map for peach. PLoS One 2018; 13:e0207724. [PMID: 30462743 PMCID: PMC6248993 DOI: 10.1371/journal.pone.0207724] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 11/04/2018] [Indexed: 11/19/2022] Open
Abstract
Highly saturated genetic linkage maps are extremely helpful to breeders and are an essential prerequisite for many biological applications such as the identification of marker-trait associations, mapping quantitative trait loci (QTL), candidate gene identification, development of molecular markers for marker-assisted selection (MAS) and comparative genetic studies. Several high-density genetic maps, constructed using the 9K SNP peach array, are available for peach. However, each of these maps is based on a single mapping population and has limited use for QTL discovery and comparative studies. A consensus genetic linkage map developed from multiple populations provides not only a higher marker density and a greater genome coverage when compared to the individual maps, but also serves as a valuable tool for estimating genetic positions of unmapped markers. In this study, a previously developed linkage map from the cross between two peach cultivars 'Zin Dai' and 'Crimson Lady' (ZC2) was improved by genotyping additional progenies. In addition, a peach consensus map was developed based on the combination of the improved ZC2 genetic linkage map with three existing high-density genetic maps of peach and a reference map of Prunus. A total of 1,476 SNPs representing 351 unique marker positions were mapped across eight linkage groups on the ZC2 genetic map. The ZC2 linkage map spans 483.3 cM with an average distance between markers of 1.38 cM/marker. The MergeMap and LPmerge tools were used for the construction of a consensus map based on markers shared across five genetic linkage maps. The consensus linkage map contains a total of 3,092 molecular markers, consisting of 2,975 SNPs, 116 SSRs and 1 morphological marker associated with slow ripening in peach (SR). The consensus map provides valuable information on marker order and genetic position for QTL identification in peach and other genetic studies within Prunus and Rosaceae.
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Affiliation(s)
- Cassia da Silva Linge
- Clemson University, Department of Plant and Environmental Sciences, Clemson, SC, United States of America
| | - Laima Antanaviciute
- Clemson University, Department of Plant and Environmental Sciences, Clemson, SC, United States of America
| | - Asma Abdelghafar
- Clemson University, Department of Plant and Environmental Sciences, Clemson, SC, United States of America
| | - Pere Arús
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Centre de Recerca en Agrigenòmica Consejo Superior de Investigaciones Científicas (CSIC)-IRTA–Universitat Autònoma de Barcelona (UAB)–University of Barcelona (UB), Campus UAB, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain
| | - Daniele Bassi
- Università degli Studi di Milano, Department of Agricultural and Environmental Sciences–Production, Landscape, Agroenergy, Milan, Italy
| | - Laura Rossini
- Università degli Studi di Milano, Department of Agricultural and Environmental Sciences–Production, Landscape, Agroenergy, Milan, Italy
| | - Stephen Ficklin
- Washington State University, Department of Horticulture, Pullman, WA, United States of America
| | - Ksenija Gasic
- Clemson University, Department of Plant and Environmental Sciences, Clemson, SC, United States of America
- * E-mail:
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Hou J, Zhou YF, Gao LY, Wang YL, Yang LM, Zhu HY, Wang JM, Zhao SJ, Ma CS, Sun SR, Hu JB. Dissecting the Genetic Architecture of Melon Chilling Tolerance at the Seedling Stage by Association Mapping and Identification of the Elite Alleles. FRONTIERS IN PLANT SCIENCE 2018; 9:1577. [PMID: 30429864 PMCID: PMC6220089 DOI: 10.3389/fpls.2018.01577] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 10/09/2018] [Indexed: 05/25/2023]
Abstract
Low temperature is an important abiotic stress that negatively affects morphological growth and fruit development in melon (Cucumis melo L.). Chilling stress at the seedling stage causes seedling injury and poor stand establishment, prolonging vegetative growth and delaying fruit harvest. In this study, association mapping was performed for chilling tolerance at the seedling stage on an expanded melon core collection containing 212 diverse accessions by 272 SSRs and 27 CAPSs. Chilling tolerance of the melon seedlings was evaluated by calculating the chilling injury index (CII) in 2016 and 2017. Genetic diversity analysis of the whole accession panel presented two main groups, which corresponded to the two subspecies of C. melo, melo, and agrestis. Both the subspecies were sensitive to chilling but with agrestis being more tolerant. Genome-wide association study (GWAS) was conducted, respectively, on the whole panel and the two subspecies, totally detecting 51 loci that contributed to 74 marker-trait associations. Of these associations, 35 were detected in the whole panel, 21 in melo, and 18 in agrestis. About half of the associations identified in the two subspecies were also observed in the whole panel, and seven associations were shared by both the subspecies. CMCT505_Chr.1 was repeatedly detected in different populations with high phenotypic contribution and could be a key locus controlling chilling tolerance in C. melo. Nine loci were selected for evaluation of the phenotypic effects related to their alleles, which identified 11 elite alleles contributing to seedling chilling tolerance. Four such alleles existed in both the subspecies and six in either of the two subspecies. Analysis of 20 parental combinations for their allelic status and phenotypic values showed that the elite alleles collectively contributed to enhancement of the chilling tolerance. Tagging the loci responsible for chilling tolerance may simultaneously favor dissecting the complex adaptability traits and elevate the efficiency to improve chilling tolerance using marker-assisted selection in melon.
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Affiliation(s)
- Juan Hou
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Ya-Feng Zhou
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou, China
| | - Lu-Yin Gao
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou, China
| | - Yan-Ling Wang
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou, China
| | - Lu-Ming Yang
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou, China
| | - Hua-Yu Zhu
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou, China
| | - Ji-Ming Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Sheng-Jie Zhao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Chang-Sheng Ma
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou, China
| | - Shou-Ru Sun
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou, China
| | - Jian-Bin Hu
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
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32
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Branham SE, Levi A, Katawczik M, Fei Z, Wechter WP. Construction of a genome-anchored, high-density genetic map for melon (Cucumis melo L.) and identification of Fusarium oxysporum f. sp. melonis race 1 resistance QTL. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:829-837. [PMID: 29372283 DOI: 10.1007/s00122-017-3039-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 12/11/2017] [Indexed: 05/22/2023]
Abstract
Four QTLs and an epistatic interaction were associated with disease severity in response to inoculation with Fusarium oxysporum f. sp. melonis race 1 in a recombinant inbred line population of melon. The USDA Cucumis melo inbred line, MR-1, harbors a wealth of alleles associated with resistance to several major diseases of melon, including powdery mildew, downy mildew, Alternaria leaf blight, and Fusarium wilt. MR-1 was crossed to an Israeli cultivar, Ananas Yok'neam, which is susceptible to all of these diseases, to generate a recombinant inbred line (RIL) population of 172 lines. In this study, the RIL population was genotyped to construct an ultra-dense genetic linkage map with 5663 binned SNPs anchored to the C. melo genome and exhibits the overall high quality of the assembly. The utility of the densely genotyped population was demonstrated through QTL mapping of a well-studied trait, resistance to Fusarium wilt caused by Fusarium oxysporum f. sp. melonis (Fom) race 1. A major QTL co-located with the previously validated resistance gene Fom-2. In addition, three minor QTLs and an epistatic interaction contributing to Fom race 1 resistance were identified. The MR-1 × AY RIL population provides a valuable resource for future QTL mapping studies and marker-assisted selection of disease resistance in melon.
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Affiliation(s)
- Sandra E Branham
- USDA, ARS, US Vegetable Laboratory, 2700 Savannah Highway, Charleston, SC, 29414, USA
| | - Amnon Levi
- USDA, ARS, US Vegetable Laboratory, 2700 Savannah Highway, Charleston, SC, 29414, USA
| | - Melanie Katawczik
- USDA, ARS, US Vegetable Laboratory, 2700 Savannah Highway, Charleston, SC, 29414, USA
| | - Zhangjun Fei
- Boyce Thompson Institute, Ithaca, NY, 14853, USA
| | - W Patrick Wechter
- USDA, ARS, US Vegetable Laboratory, 2700 Savannah Highway, Charleston, SC, 29414, USA.
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Galpaz N, Gonda I, Shem-Tov D, Barad O, Tzuri G, Lev S, Fei Z, Xu Y, Mao L, Jiao C, Harel-Beja R, Doron-Faigenboim A, Tzfadia O, Bar E, Meir A, Sa'ar U, Fait A, Halperin E, Kenigswald M, Fallik E, Lombardi N, Kol G, Ronen G, Burger Y, Gur A, Tadmor Y, Portnoy V, Schaffer AA, Lewinsohn E, Giovannoni JJ, Katzir N. Deciphering genetic factors that determine melon fruit-quality traits using RNA-Seq-based high-resolution QTL and eQTL mapping. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2018; 94:169-191. [PMID: 29385635 DOI: 10.1111/tpj.13838] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 12/19/2017] [Accepted: 01/08/2018] [Indexed: 05/18/2023]
Abstract
Combined quantitative trait loci (QTL) and expression-QTL (eQTL) mapping analysis was performed to identify genetic factors affecting melon (Cucumis melo) fruit quality, by linking genotypic, metabolic and transcriptomic data from a melon recombinant inbred line (RIL) population. RNA sequencing (RNA-Seq) of fruit from 96 RILs yielded a highly saturated collection of > 58 000 single-nucleotide polymorphisms, identifying 6636 recombination events that separated the genome into 3663 genomic bins. Bin-based QTL analysis of 79 RILs and 129 fruit-quality traits affecting taste, aroma and color resulted in the mapping of 241 QTL. Thiol acyltransferase (CmThAT1) gene was identified within the QTL interval of its product, S-methyl-thioacetate, a key component of melon fruit aroma. Metabolic activity of CmThAT1-encoded protein was validated in bacteria and in vitro. QTL analysis of flesh color intensity identified a candidate white-flesh gene (CmPPR1), one of two major loci determining fruit flesh color in melon. CmPPR1 encodes a member of the pentatricopeptide protein family, involved in processing of RNA in plastids, where carotenoid and chlorophyll pigments accumulate. Network analysis of > 12 000 eQTL mapped for > 8000 differentially expressed fruit genes supported the role of CmPPR1 in determining the expression level of plastid targeted genes. We highlight the potential of RNA-Seq-based QTL analysis of small to moderate size, advanced RIL populations for precise marker-assisted breeding and gene discovery. We provide the following resources: a RIL population genotyped with a unique set of SNP markers, confined genomic segments that harbor QTL governing 129 traits and a saturated set of melon eQTLs.
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Affiliation(s)
- Navot Galpaz
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Itay Gonda
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA
| | - Doron Shem-Tov
- NRGENE, Park HaMada Ness Ziona, Israel
- Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel
| | | | - Galil Tzuri
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Shery Lev
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
- Institute of Life Science, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Zhangjun Fei
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA
- USDA-ARS Robert W. Holley Center for Agriculture and Health, Ithaca, New York, USA
| | - Yimin Xu
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA
| | - Linyong Mao
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA
| | - Chen Jiao
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA
| | - Rotem Harel-Beja
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Adi Doron-Faigenboim
- Department of Vegetable and Field Crops, Volcani Center, Agricultural Research Organization, Rishon LeZion, Israel
| | - Oren Tzfadia
- VIB Department of Plant Systems Biology, Ghent University, Gent, Belgium
| | - Einat Bar
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Ayala Meir
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Uzi Sa'ar
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Aaron Fait
- The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Eran Halperin
- Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel
| | - Merav Kenigswald
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
- Institute of Life Science, Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Postharvest Science of Fresh Produce, Volcani Center, Agricultural Research Organization, Rishon LeZion, Israel
| | - Elazar Fallik
- Department of Postharvest Science of Fresh Produce, Volcani Center, Agricultural Research Organization, Rishon LeZion, Israel
| | - Nadia Lombardi
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA
- Department of Agricultural Sciences, University of Naples, Portici, Italy
| | - Guy Kol
- NRGENE, Park HaMada Ness Ziona, Israel
| | - Gil Ronen
- NRGENE, Park HaMada Ness Ziona, Israel
| | - Yosef Burger
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Amit Gur
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Ya'akov Tadmor
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Vitaly Portnoy
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - Arthur A Schaffer
- Department of Vegetable and Field Crops, Volcani Center, Agricultural Research Organization, Rishon LeZion, Israel
| | - Efraim Lewinsohn
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
| | - James J Giovannoni
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA
- USDA-ARS Robert W. Holley Center for Agriculture and Health, Ithaca, New York, USA
| | - Nurit Katzir
- Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel
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GourdBase: a genome-centered multi-omics database for the bottle gourd (Lagenaria siceraria), an economically important cucurbit crop. Sci Rep 2018; 8:3604. [PMID: 29483591 PMCID: PMC5827520 DOI: 10.1038/s41598-018-22007-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 02/14/2018] [Indexed: 12/03/2022] Open
Abstract
GourdBase is an integrative data platform for the bottle gourd to examine its multifarious intuitive morphology and annotated genome. GourdBase consists of six main modules that store and interlink multi-omic data: the genome (with transcriptomic data integrated) module, the phenome module, the markers/QTLs module, the maps (genetic, physical and comparative) module, the cultivars module, and the publications module. These modules provide access to various type of data including the annotated reference genome sequence, gene models, transcriptomic data from various tissues, physical and comparative genome maps, molecular markers in different types, phenotypic data for featuring traits including fruit shape and umami taste, and quantitative trait loci (QTLs) that underlie these traits. GourdBase is intuitive, user-friendly and interlinked and is designed to allow researchers, breeders and trained farmers to browse, search and fetch information on interests and assist in genomics-driven studies and breeding. The knowledge base and web interface can be accessed at http://www.gourdbase.cn/.
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Zhou G, Jian J, Wang P, Li C, Tao Y, Li X, Renshaw D, Clements J, Sweetingham M, Yang H. Construction of an ultra-high density consensus genetic map, and enhancement of the physical map from genome sequencing in Lupinus angustifolius. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:209-223. [PMID: 29051970 DOI: 10.1007/s00122-017-2997-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Accepted: 10/01/2017] [Indexed: 05/04/2023]
Abstract
An ultra-high density genetic map containing 34,574 sequence-defined markers was developed in Lupinus angustifolius. Markers closely linked to nine genes of agronomic traits were identified. A physical map was improved to cover 560.5 Mb genome sequence. Lupin (Lupinus angustifolius L.) is a recently domesticated legume grain crop. In this study, we applied the restriction-site associated DNA sequencing (RADseq) method to genotype an F9 recombinant inbred line population derived from a wild type × domesticated cultivar (W × D) cross. A high density linkage map was developed based on the W × D population. By integrating sequence-defined DNA markers reported in previous mapping studies, we established an ultra-high density consensus genetic map, which contains 34,574 markers consisting of 3508 loci covering 2399 cM on 20 linkage groups. The largest gap in the entire consensus map was 4.73 cM. The high density W × D map and the consensus map were used to develop an improved physical map, which covered 560.5 Mb of genome sequence data. The ultra-high density consensus linkage map, the improved physical map and the markers linked to genes of breeding interest reported in this study provide a common tool for genome sequence assembly, structural genomics, comparative genomics, functional genomics, QTL mapping, and molecular plant breeding in lupin.
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Affiliation(s)
- Gaofeng Zhou
- State Agricultural Biotechnology Centre, Murdoch University, Murdoch, WA, 6150, Australia
| | - Jianbo Jian
- Beijing Genome Institute-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, 518083, China
| | - Penghao Wang
- State Agricultural Biotechnology Centre, Murdoch University, Murdoch, WA, 6150, Australia
| | - Chengdao Li
- State Agricultural Biotechnology Centre, Murdoch University, Murdoch, WA, 6150, Australia
| | - Ye Tao
- BIOZERON Biotechnology Co., Ltd.-Shanghai, Xingxian Road, 1180-7, Shanghai, 210880, China
| | - Xuan Li
- Beijing Genome Institute-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, 518083, China
| | - Daniel Renshaw
- Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - Jonathan Clements
- Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - Mark Sweetingham
- Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - Huaan Yang
- Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia.
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Yano R, Nonaka S, Ezura H. Melonet-DB, a Grand RNA-Seq Gene Expression Atlas in Melon (Cucumis melo L.). PLANT & CELL PHYSIOLOGY 2018; 59:e4. [PMID: 29216378 DOI: 10.1093/pcp/pcx193] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 11/23/2017] [Indexed: 05/05/2023]
Abstract
Melon (Cucumis melo L.) is an important Cucurbitaceae crop produced worldwide, exhibiting wide genetic variations and comprising both climacteric and non-climacteric fruit types. The muskmelon cultivar "'Earl's favorite Harukei-3 (Harukei-3)"' known for its sweetness and rich aroma is used for breeding of high-grade muskmelon in Japan. We conducted RNA sequencing (RNA-seq) transcriptome studies in 30 different tissues of the 'Harukei-3' melon. These included root, stems, leaves, flowers, regenerating callus and ovaries, in addition to the flesh and peel sampled at seven stages of fruit development. The expression patterns of 20,752 genes were determined with fragments per kilobase of transcript per million fragments sequenced (FPKM) >1 in at least one tissue. Principal component analysis distinguished 30 melon tissues based on the global gene expression profile and, further, the weighted gene correlation network analysis classified melon genes into 45 distinct coexpression groups. Some coexpression groups exhibited tissue-specific gene expression. Furthermore, we developed and published web application tools designated "'Gene expression map viewer"' and "'Coexpression viewer"' on our website Melonet-DB (http://melonet-db.agbi.tsukuba.ac.jp/) to promote functional genomics research in melon. By using both tools, we analyzed melon homologs of tomato fruit ripening regulators such as E8, RIPENING-INHIBITOR (RIN) and NON-RIPENING (NOR). The "'Coexpression viewer"' clearly distinguished fruit ripening-associated melon RIN/NOR/CNR homologs from those expressed in other tissues. In addition, several other MADS-box, NAM/ATAF/CUC (NAC) and homeobox transcription factor genes were identified as fruit ripening-associated genes. Our tools provide useful information for research not only on melon but also on other fleshy fruit plants.
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Affiliation(s)
- Ryoichi Yano
- Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, 305-8572 Japan
- JST, PRESTO, Kawaguchi, 332-0012 Japan
| | - Satoko Nonaka
- Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, 305-8572 Japan
- Tsukuba Plant Innovation Research Center, University of Tsukuba, Tsukuba, 305-8572 Japan
| | - Hiroshi Ezura
- Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, 305-8572 Japan
- Tsukuba Plant Innovation Research Center, University of Tsukuba, Tsukuba, 305-8572 Japan
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Riaz A, Athiyannan N, Periyannan SK, Afanasenko O, Mitrofanova OP, Platz GJ, Aitken EAB, Snowdon RJ, Lagudah ES, Hickey LT, Voss-Fels KP. Unlocking new alleles for leaf rust resistance in the Vavilov wheat collection. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:127-144. [PMID: 28980023 DOI: 10.1007/s00122-017-2990-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 09/21/2017] [Indexed: 05/06/2023]
Abstract
Thirteen potentially new leaf rust resistance loci were identified in a Vavilov wheat diversity panel. We demonstrated the potential of allele stacking to strengthen resistance against this important pathogen. Leaf rust (LR) caused by Puccinia triticina is an important disease of wheat (Triticum aestivum L.), and the deployment of genetically resistant cultivars is the most viable strategy to minimise yield losses. In this study, we evaluated a diversity panel of 295 bread wheat accessions from the N. I. Vavilov Institute of Plant Genetic Resources (St Petersburg, Russia) for LR resistance and performed genome-wide association studies (GWAS) using 10,748 polymorphic DArT-seq markers. The diversity panel was evaluated at seedling and adult plant growth stages using three P. triticina pathotypes prevalent in Australia. GWAS was applied to 11 phenotypic data sets which identified a total of 52 significant marker-trait associations representing 31 quantitative trait loci (QTL). Among them, 29 QTL were associated with adult plant resistance (APR). Of the 31 QTL, 13 were considered potentially new loci, whereas 4 co-located with previously catalogued Lr genes and 14 aligned to regions reported in other GWAS and genomic prediction studies. One seedling LR resistance QTL located on chromosome 3A showed pronounced levels of linkage disequilibrium among markers (r 2 = 0.7), suggested a high allelic fixation. Subsequent haplotype analysis for this region found seven haplotype variants, of which two were strongly associated with LR resistance at seedling stage. Similarly, analysis of an APR QTL on chromosome 7B revealed 22 variants, of which 4 were associated with resistance at the adult plant stage. Furthermore, most of the tested lines in the diversity panel carried 10 or more combined resistance-associated marker alleles, highlighting the potential of allele stacking for long-lasting resistance.
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Affiliation(s)
- Adnan Riaz
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Naveenkumar Athiyannan
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
- Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, Canberra, ACT, Australia
| | - Sambasivam K Periyannan
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
- Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, Canberra, ACT, Australia
| | - Olga Afanasenko
- Department of Plant Resistance to Diseases, All-Russian Research Institute for Plant Protection, St Petersburg, Russia
| | - Olga P Mitrofanova
- N. I. Vavilov Institute of Plant Genetic Resources, St Petersburg, Russia
| | - Gregory J Platz
- Department of Agriculture and Fisheries, Hermitage Research Facility, Warwick, QLD, Australia
| | - Elizabeth A B Aitken
- School of Agriculture and Food Sciences, The University of Queensland, St Lucia, QLD, Australia
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Evans S Lagudah
- Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, Canberra, ACT, Australia
| | - Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
| | - Kai P Voss-Fels
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany.
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Argyris JM, Díaz A, Ruggieri V, Fernández M, Jahrmann T, Gibon Y, Picó B, Martín-Hernández AM, Monforte AJ, Garcia-Mas J. QTL Analyses in Multiple Populations Employed for the Fine Mapping and Identification of Candidate Genes at a Locus Affecting Sugar Accumulation in Melon ( Cucumis melo L.). FRONTIERS IN PLANT SCIENCE 2017; 8:1679. [PMID: 29018473 PMCID: PMC5623194 DOI: 10.3389/fpls.2017.01679] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 09/12/2017] [Indexed: 05/24/2023]
Abstract
Sugar content is the major determinant of both fruit quality and consumer acceptance in melon (Cucumis melo L), and is a primary target for crop improvement. Near-isogenic lines (NILs) derived from the intraspecific cross between a "Piel de Sapo" (PS) type and the exotic cultivar "Songwhan Charmi" (SC), and several populations generated from the cross of PS × Ames 24294 ("Trigonus"), a wild melon, were used to identify QTL related to sugar and organic acid composition. Seventy-eight QTL were detected across several locations and different years, with three important clusters related to sugar content located on chromosomes 4, 5, and 7. Two PS × SC NILs (SC5-1 and SC5-2) sharing a common genomic interval of 1.7 Mb at the top of chromosome 5 contained QTL reducing soluble solids content (SSC) and sucrose content by an average of 29 and 68%, respectively. This cluster collocated with QTL affecting sugar content identified in other studies in lines developed from the PS × SC cross and supported the presence of a stable consensus locus involved in sugar accumulation that we named SUCQSC5.1. QTL reducing soluble solids and sucrose content identified in the "Trigonus" mapping populations, as well as QTL identified in previous studies from other ssp. agrestis sources, collocated with SUCQSC5.1, suggesting that they may be allelic and implying a role in domestication. In subNILs derived from the PS × SC5-1 cross, SUCQSC5.1 reduced SSC and sucrose content by an average of 18 and 34%, respectively, and was fine-mapped to a 56.1 kb interval containing four genes. Expression analysis of the candidate genes in mature fruit showed differences between the subNILs with PS alleles that were "high" sugar and SC alleles of "low" sugar phenotypes for MELO3C014519, encoding a putative BEL1-like homeodomain protein. Sequence differences in the gene predicted to affect protein function were restricted to SC and other ssp. agrestis cultivar groups. These results provide the basis for further investigation of genes affecting sugar accumulation in melon.
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Affiliation(s)
- Jason M. Argyris
- Centre for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Barcelona, Spain
| | - Aurora Díaz
- Instituto de Biología Molecular y Celular de Plantas, Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas, Valencia, Spain
| | - Valentino Ruggieri
- Centre for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Barcelona, Spain
| | | | | | - Yves Gibon
- UMR1332 Biologie du Fruit et Pathologie, Plateforme Métabolome Bordeaux, INRA, University of Bordeaux, Villenave d'Ornon, France
| | - Belén Picó
- Institute for the Conservation and Breeding of the Agricultural Biodiversity, Universitat Politècnica de València (COMAV-UPV), Valencia, Spain
| | - Ana M. Martín-Hernández
- Centre for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Barcelona, Spain
| | - Antonio J. Monforte
- Instituto de Biología Molecular y Celular de Plantas, Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas, Valencia, Spain
| | - Jordi Garcia-Mas
- Centre for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Barcelona, Spain
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Hu Z, Deng G, Mou H, Xu Y, Chen L, Yang J, Zhang M. A re-sequencing-based ultra-dense genetic map reveals a gummy stem blight resistance-associated gene in Cucumis melo. DNA Res 2017; 25:1-10. [PMID: 28985339 PMCID: PMC5824858 DOI: 10.1093/dnares/dsx033] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 08/11/2017] [Indexed: 12/30/2022] Open
Abstract
The melon (Cucumis melo) genome and genetic maps with hundreds to thousands of single nucleotide polymorphism markers were recently released. However, a high-resolution genetic map was lacking. Gummy stem blight (Gsb) is a destructive disease responsible for considerable economic losses during melon production. We herein describe the development of an ultra-dense genetic map consisting of 12,932 recombination bin markers covering 1,818 cM, with an average distance of 0.17 cM between adjacent tags. A comparison of the genetic maps for melon, watermelon, and cucumber revealed chromosome-level syntenic relationships and recombination events among the three Cucurbitaceae species. Our genetic map was useful for re-anchoring the genome scaffolds of melon. More than 92% assembly was anchored to 12 pseudo-chromosomes and 90% of them were oriented. Furthermore, 1,135 recombination hotspots revealed an unbalanced recombination rate across the melon genome. Genetic analyses of the Gsb-resistant and -susceptible lines indicated the resistance phenotype is mediated by a single dominant gene. We identified Gsb-resistance gene candidates in a 108-kb region on pseudo-chromosome 4. Our findings verify the utility of an ultra-dense genetic map for mapping a gene of interest, and for identifying new disease resistant genes.
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Affiliation(s)
- Zhongyuan Hu
- Laboratory of Germplasm Innovation and Molecular Breeding, Institute of Vegetable Science, Zhejiang University, Hangzhou 310058, China
| | - Guancong Deng
- Laboratory of Germplasm Innovation and Molecular Breeding, Institute of Vegetable Science, Zhejiang University, Hangzhou 310058, China
| | - Haipeng Mou
- Laboratory of Germplasm Innovation and Molecular Breeding, Institute of Vegetable Science, Zhejiang University, Hangzhou 310058, China
| | - Yuhui Xu
- Biomarker Technologies Corporation, Beijing 101300, China
| | - Li Chen
- Biomarker Technologies Corporation, Beijing 101300, China
| | - Jinghua Yang
- Laboratory of Germplasm Innovation and Molecular Breeding, Institute of Vegetable Science, Zhejiang University, Hangzhou 310058, China.,Key Laboratory of Horticultural Plant Growth, Development & Quality Improvement, Ministry of Agriculture, Hangzhou 310058, China.,Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Hangzhou 310058, China
| | - Mingfang Zhang
- Laboratory of Germplasm Innovation and Molecular Breeding, Institute of Vegetable Science, Zhejiang University, Hangzhou 310058, China.,Key Laboratory of Horticultural Plant Growth, Development & Quality Improvement, Ministry of Agriculture, Hangzhou 310058, China.,Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Hangzhou 310058, China
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Díaz A, Martín-Hernández AM, Dolcet-Sanjuan R, Garcés-Claver A, Álvarez JM, Garcia-Mas J, Picó B, Monforte AJ. Quantitative trait loci analysis of melon (Cucumis melo L.) domestication-related traits. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2017; 130:1837-1856. [PMID: 28584902 DOI: 10.1007/s00122-017-2928-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 05/26/2017] [Indexed: 05/06/2023]
Abstract
Loci on LGIV, VI, and VIII of melon genome are involved in the control of fruit domestication-related traits and they are candidate to have played a role in the domestication of the crop. The fruit of wild melons is very small (20-50 g) without edible pulp, contrasting with the large size and high pulp content of cultivated melon fruits. An analysis of quantitative trait loci (QTL) controlling fruit morphology domestication-related traits was carried out using an in vitro maintained F2 population from the cross between the Indian wild melon "Trigonus" and the western elite cultivar 'Piel de Sapo'. Twenty-seven QTL were identified in at least two out of the three field trials. Six of them were also being detected in BC1 and BC3 populations derived from the same cross. Ten of them were related to fruit morphological traits, 12 to fruit size characters, and 5 to pulp content. The Trigonus alleles decreased the value of the characters, except for the QTL at andromonoecious gene at linkage group (LG) II, and the QTL for pulp content at LGV. QTL genotypes accounted for a considerable degree of the total phenotypic variation, reaching up to 46%. Around 66% of the QTL showed additive gene action, 19% exhibited dominance, and 25% consisted of overdominance. The regions on LGIV, VI, and VIII included the QTL with more consistent and strong effects on domestication-related traits. QTLs on those regions were validated in BC2S1, BC2S2, and BC3 families, with "Trigonus" allele decreasing the fruit morphological traits in all cases. The validated QTL could represent loci involved in melon domestication, although further experiments as genomic variation studies across wild and cultivated genotypes would be necessary to confirm this hypothesis.
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Affiliation(s)
- Aurora Díaz
- Unidad de Hortofruticultura, Instituto Agroalimentario de Aragón (IA2) (CITA-Universidad de Zaragoza), Avenida de Montañana 930., 50059, Saragossa, Spain
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universitat Politècnica de València (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Ciudad Politécnica de la Innovación (CPI), Ed. 8E, C/Ingeniero Fausto Elio s/n., 46022, Valencia, Spain
| | - Ana Montserrat Martín-Hernández
- IRTA, Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Parc de Recerca de la UAB, C/Vall de Moronta, Edifici CRAG, Bellaterra (Cerdanyola del Vallés), 08193, Barcelona, Spain
| | - Ramón Dolcet-Sanjuan
- IRTA Fruitcentre, PCiTAL Parc de Gardeny-Edifici Fruitcentre, 25003, Lleida, Spain
| | - Ana Garcés-Claver
- Unidad de Hortofruticultura, Instituto Agroalimentario de Aragón (IA2) (CITA-Universidad de Zaragoza), Avenida de Montañana 930., 50059, Saragossa, Spain
| | - José María Álvarez
- Unidad de Hortofruticultura, Instituto Agroalimentario de Aragón (IA2) (CITA-Universidad de Zaragoza), Avenida de Montañana 930., 50059, Saragossa, Spain
| | - Jordi Garcia-Mas
- IRTA, Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Parc de Recerca de la UAB, C/Vall de Moronta, Edifici CRAG, Bellaterra (Cerdanyola del Vallés), 08193, Barcelona, Spain
| | - Belén Picó
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n., 46022, Valencia, Spain
| | - Antonio José Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universitat Politècnica de València (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Ciudad Politécnica de la Innovación (CPI), Ed. 8E, C/Ingeniero Fausto Elio s/n., 46022, Valencia, Spain.
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Genome-Wide Linkage-Disequilibrium Mapping to the Candidate Gene Level in Melon (Cucumis melo). Sci Rep 2017; 7:9770. [PMID: 28852011 PMCID: PMC5575340 DOI: 10.1038/s41598-017-09987-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 08/01/2017] [Indexed: 12/22/2022] Open
Abstract
Cucumis melo is highly diverse for fruit traits providing wide breeding and genetic research opportunities, including genome-wide association (GWA) analysis. We used a collection of 177 accessions representing the two C. melo subspecies and 11 horticultural groups for detailed characterization of fruit traits variation and evaluation of the potential of GWA for trait mapping in melon. Through genotyping-by-sequencing, 23,931 informative SNPs were selected for genome-wide analyses. We found that linkage-disequilibrium decays at ~100 Kb in this collection and that population structure effect on association results varies between traits. We mapped several monogenic traits to narrow intervals overlapping with known causative genes, demonstrating the potential of diverse collections and GWA for mapping Mendelian traits to a candidate-gene level in melon. We further report on mapping of fruit shape quantitative trait loci (QTLs) and comparison with multiple previous QTL studies. Expansion of sample size and a more balanced representation of taxonomic groups might improve efficiency for simple traits dissection. But, as in other plant species, integrated linkage-association multi-allelic approaches are likely to produce better combination of statistical power, diversity capture and mapping resolution in melon. Our data can be utilized for selection of the most appropriate accessions for such approaches.
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Xanthopoulou A, Ganopoulos I, Psomopoulos F, Manioudaki M, Moysiadis T, Kapazoglou A, Osathanunkul M, Michailidou S, Kalivas A, Tsaftaris A, Nianiou-Obeidat I, Madesis P. De novo comparative transcriptome analysis of genes involved in fruit morphology of pumpkin cultivars with extreme size difference and development of EST-SSR markers. Gene 2017; 622:50-66. [PMID: 28435133 DOI: 10.1016/j.gene.2017.04.035] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 04/15/2017] [Accepted: 04/19/2017] [Indexed: 01/03/2023]
Abstract
The genetic basis of fruit size and shape was investigated for the first time in Cucurbita species and genetic loci associated with fruit morphology have been identified. Although extensive genomic resources are available at present for tomato (Solanum lycopersicum), cucumber (Cucumis sativus), melon (Cucumis melo) and watermelon (Citrullus lanatus), genomic databases for Cucurbita species are limited. Recently, our group reported the generation of pumpkin (Cucurbita pepo) transcriptome databases from two contrasting cultivars with extreme fruit sizes. In the current study we used these databases to perform comparative transcriptome analysis in order to identify genes with potential roles in fruit morphology and fruit size. Differential Gene Expression (DGE) analysis between cv. 'Munchkin' (small-fruit) and cv. 'Big Moose' (large-fruit) revealed a variety of candidate genes associated with fruit morphology with significant differences in gene expression between the two cultivars. In addition, we have set the framework for generating EST-SSR markers, which discriminate different C. pepo cultivars and show transferability to related Cucurbitaceae species. The results of the present study will contribute to both further understanding the molecular mechanisms regulating fruit morphology and furthermore identifying the factors that determine fruit size. Moreover, they may lead to the development of molecular marker tools for selecting genotypes with desired morphological traits.
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Affiliation(s)
- Aliki Xanthopoulou
- Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki 570 01, Greece; Lab of Genetics and Plant Breeding, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 261, Thessaloniki GR-54124, Greece
| | - Ioannis Ganopoulos
- Institute of Plant Breeding and Genetic Resources ELGO-DEMETER (ex NAGREF), Thermi, Macedonia GR-57001, Greece
| | - Fotis Psomopoulos
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki 54 124, Greece
| | - Maria Manioudaki
- Centre for Clinical, Experimental Surgery & Translational Research, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Theodoros Moysiadis
- Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki 570 01, Greece
| | - Aliki Kapazoglou
- Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki 570 01, Greece
| | - Maslin Osathanunkul
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Sofia Michailidou
- Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki 570 01, Greece
| | - Apostolos Kalivas
- Institute of Plant Breeding and Genetic Resources ELGO-DEMETER (ex NAGREF), Thermi, Macedonia GR-57001, Greece
| | - Athanasios Tsaftaris
- Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki 570 01, Greece; Lab of Genetics and Plant Breeding, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 261, Thessaloniki GR-54124, Greece
| | - Irini Nianiou-Obeidat
- Lab of Genetics and Plant Breeding, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 261, Thessaloniki GR-54124, Greece.
| | - Panagiotis Madesis
- Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki 570 01, Greece.
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Daley J, Branham S, Levi A, Hassell R, Wechter P. Mapping Resistance to Alternaria cucumerina in Cucumis melo. PHYTOPATHOLOGY 2017; 107:427-432. [PMID: 27868479 DOI: 10.1094/phyto-06-16-0246-r] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Infection with Alternaria cucumerina causes Alternaria leaf blight (ALB), a disease characterized by lesion formation on leaves, leading to substantial yield and quality losses in Cucumis melo (melon). Although fungicides are effective against ALB, reduction in the frequency of application would be economically and environmentally beneficial. Resistant melon lines have been identified but the genetic basis of this resistance has not been determined. A saturated melon genetic map was constructed with markers developed through genotyping by sequencing of a recombinant inbred line population (F6 to F10; n = 82) derived from single-seed descent of a F2 population from a cross between the ALB-resistant parent MR-1 and the ALB-susceptible parent Ananas Yokneum. The population was evaluated for A. cucumerina resistance with an augmented block greenhouse study using inoculation with the wounded-leaf method. Multiple quantitative trait loci (QTL) mapping identified two QTL that explained 33.9% of variation in lesion area. Several candidate genes within range of these QTL were identified using the C. melo v3.5 genome. Markers linked to these QTL will be used to accelerate efforts to breed melon cultivars resistant to ALB.
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Affiliation(s)
- James Daley
- First and fourth authors: Clemson University, Coastal Research and Education Center, Charleston, SC 29414; and second, third, and fifth authors: United States Department of Agriculture-Agricultural Research Service, U.S. Vegetable Laboratory, Charleston, SC 29414
| | - Sandra Branham
- First and fourth authors: Clemson University, Coastal Research and Education Center, Charleston, SC 29414; and second, third, and fifth authors: United States Department of Agriculture-Agricultural Research Service, U.S. Vegetable Laboratory, Charleston, SC 29414
| | - Amnon Levi
- First and fourth authors: Clemson University, Coastal Research and Education Center, Charleston, SC 29414; and second, third, and fifth authors: United States Department of Agriculture-Agricultural Research Service, U.S. Vegetable Laboratory, Charleston, SC 29414
| | - Richard Hassell
- First and fourth authors: Clemson University, Coastal Research and Education Center, Charleston, SC 29414; and second, third, and fifth authors: United States Department of Agriculture-Agricultural Research Service, U.S. Vegetable Laboratory, Charleston, SC 29414
| | - Patrick Wechter
- First and fourth authors: Clemson University, Coastal Research and Education Center, Charleston, SC 29414; and second, third, and fifth authors: United States Department of Agriculture-Agricultural Research Service, U.S. Vegetable Laboratory, Charleston, SC 29414
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Portnoy V, Gonda I, Galpaz N, Tzuri G, Lev S, Kenigswald M, Fei Z, Barad O, Harel-Beja R, Doron-Faigenboim A, Bar E, Sa’ar U, Xu Y, Lombardi N, Mao L, Jiao C, Kol G, Gur A, Fallik E, Tadmor Y, Burger Y, Schaffer A, Giovannoni J, Lewinsohn E, Katzir N. Next-generation sequencing-based QTL mapping for unravelling causative genes associated with melon fruit quality traits. ACTA ACUST UNITED AC 2017. [DOI: 10.17660/actahortic.2017.1151.3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Chang CW, Wang YH, Tung CW. Genome-Wide Single Nucleotide Polymorphism Discovery and the Construction of a High-Density Genetic Map for Melon ( Cucumis melo L.) Using Genotyping-by-Sequencing. FRONTIERS IN PLANT SCIENCE 2017; 8:125. [PMID: 28220139 PMCID: PMC5292975 DOI: 10.3389/fpls.2017.00125] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 01/20/2017] [Indexed: 05/27/2023]
Abstract
Although genotyping-by-sequencing (GBS) enables the efficient and low-cost generation of large numbers of markers, the utility of resultant genotypes are limited, because they are enormously error-prone and contain high proportions of missing data. In this study, we generated single nucleotide polymorphism (SNP) markers for 109 recombinant inbred lines of melon (Cucumis melo L.) using the GBS approach and ordered them according to their physical position on the draft double haploid line DHL92 genome. Next, by investigating associations between these SNPs, we discovered that some segments on the physical map conflict with linkage relationships. Therefore, to filter out error-prone loci, 4,110 SNPs in which we have a high degree of confidence were selected as anchors to test independence with respect to unselected markers, and the resultant dataset was then analyzed using the Full-Sib Family Haplotype (FSFHap) algorithm in the software TASSEL 5.2. On the basis of this analysis, 22,933 loci that have an average rate of missing data of 0.281% were used to construct a genetic map, which spans 1,088.3 cM across 12 chromosomes and has a maximum spacing of 6.0 cM. Use of this high-quality linkage map enabled the identification of several quantitative trait loci (QTL) known to control traits in fruit and validated our approach. This study highlights the utility of GBS markers for the identification of trait-associated QTLs in melon and facilitates further investigation of genome structure.
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Affiliation(s)
- Che-Wei Chang
- Department of Agronomy, National Taiwan UniversityTaipei, Taiwan
| | - Yu-Hua Wang
- Crop Science Division, Taiwan Agricultural Research Institute, Council of AgricultureTaichung, Taiwan
| | - Chih-Wei Tung
- Department of Agronomy, National Taiwan UniversityTaipei, Taiwan
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N’Diaye A, Haile JK, Cory AT, Clarke FR, Clarke JM, Knox RE, Pozniak CJ. Single Marker and Haplotype-Based Association Analysis of Semolina and Pasta Colour in Elite Durum Wheat Breeding Lines Using a High-Density Consensus Map. PLoS One 2017; 12:e0170941. [PMID: 28135299 PMCID: PMC5279799 DOI: 10.1371/journal.pone.0170941] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 01/12/2017] [Indexed: 12/30/2022] Open
Abstract
Association mapping is usually performed by testing the correlation between a single marker and phenotypes. However, because patterns of variation within genomes are inherited as blocks, clustering markers into haplotypes for genome-wide scans could be a worthwhile approach to improve statistical power to detect associations. The availability of high-density molecular data allows the possibility to assess the potential of both approaches to identify marker-trait associations in durum wheat. In the present study, we used single marker- and haplotype-based approaches to identify loci associated with semolina and pasta colour in durum wheat, the main objective being to evaluate the potential benefits of haplotype-based analysis for identifying quantitative trait loci. One hundred sixty-nine durum lines were genotyped using the Illumina 90K Infinium iSelect assay, and 12,234 polymorphic single nucleotide polymorphism (SNP) markers were generated and used to assess the population structure and the linkage disequilibrium (LD) patterns. A total of 8,581 SNPs previously localized to a high-density consensus map were clustered into 406 haplotype blocks based on the average LD distance of 5.3 cM. Combining multiple SNPs into haplotype blocks increased the average polymorphism information content (PIC) from 0.27 per SNP to 0.50 per haplotype. The haplotype-based analysis identified 12 loci associated with grain pigment colour traits, including the five loci identified by the single marker-based analysis. Furthermore, the haplotype-based analysis resulted in an increase of the phenotypic variance explained (50.4% on average) and the allelic effect (33.7% on average) when compared to single marker analysis. The presence of multiple allelic combinations within each haplotype locus offers potential for screening the most favorable haplotype series and may facilitate marker-assisted selection of grain pigment colour in durum wheat. These results suggest a benefit of haplotype-based analysis over single marker analysis to detect loci associated with colour traits in durum wheat.
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Affiliation(s)
- Amidou N’Diaye
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Jemanesh K. Haile
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Aron T. Cory
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Fran R. Clarke
- Semiarid Prairie Agricultural Research Centre, Agriculture and Agri-Food Canada, Swift Current, Saskatchewan, Canada
| | - John M. Clarke
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Ron E. Knox
- Semiarid Prairie Agricultural Research Centre, Agriculture and Agri-Food Canada, Swift Current, Saskatchewan, Canada
| | - Curtis J. Pozniak
- Department of Plant Sciences and Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Ramamurthy RK, Waters BM. Mapping and Characterization of the fefe Gene That Controls Iron Uptake in Melon ( Cucumis melo L.). FRONTIERS IN PLANT SCIENCE 2017; 8:1003. [PMID: 28659950 PMCID: PMC5470102 DOI: 10.3389/fpls.2017.01003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 05/26/2017] [Indexed: 05/21/2023]
Abstract
Iron (Fe) deficiency in plants limits crop growth and productivity. Molecular mechanisms that plants use to sense and respond to Fe deficiency by coordinated expression of Fe-uptake genes are not fully understood. The C940-fe chlorotic melon (Cucumis melo) mutant known as fefe is unable to upregulate Fe-uptake genes, however, the FeFe gene had not been identified. In this study, we used two F2 mapping populations to map and identify the FeFe gene as bHLH38, a homolog of subgroup Ib bHLH genes from Arabidopsis thaliana that are involved in transcriptional regulation of Fe-uptake genes in partnership with the FIT gene. A Ty1-copia type retrotransposon insertion of 5.056 kb within bHLH38 is responsible for the defect in bHLH38 in fefe, based on sequencing and expression analysis. This retrotransposon insertion results in multiple non-functional transcripts expected to result in an altered and truncated protein sequence. Hairy root transformation of fefe plants using wild-type bHLH38 resulted in functional complementation of the chlorotic fefe phenotype. Using a yeast-2-hybrid assay, the transcription factor Fit interacted with the wild-type bHLH38 protein, but did not interact with the fefe bHLH38 protein, suggesting that heterodimer formation of Fit/bHLH38 to regulate Fe-uptake genes does not occur in fefe roots. The second subgroup Ib bHLH gene in the melon genome is not functionally redundant to bHLH38, in contrast to Arabidopsis where four subgroup Ib bHLH genes are functionally redundant. Whereas the Arabidopsis bHLH transcript levels are upregulated by Fe deficiency, melon bHLH38 was not regulated at the transcript level. Thus, the fefe mutant may provide a platform for studying bHLH38 genes and proteins from other plant species.
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Wang YH, Wu DH, Huang JH, Tsao SJ, Hwu KK, Lo HF. Mapping quantitative trait loci for fruit traits and powdery mildew resistance in melon (Cucumis melo). BOTANICAL STUDIES 2016; 57:19. [PMID: 28597428 PMCID: PMC5430578 DOI: 10.1186/s40529-016-0130-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 06/23/2016] [Indexed: 05/06/2023]
Abstract
BACKGROUND Fruit characters affect consumer preferences and the market value of melons is determined by fruit quality. Most fruit quality-related traits are controlled by multiple genes, and are influenced by environmental factors. Furthermore, powdery mildew is another limiting factor in melon production. To develop new melon cultivars with disease resistance and high quality fruits using the molecular marker-assisted breeding strategy, identification of quantitative trait loci for fruit quality and disease resistance is required. RESULTS The F2 populations from the cross of TARI-08874 (Cucumis melo ssp. melo) and 'Bai-li-gua' (C. melo ssp. agrestis) were used to map the quantitative trait loci (QTLs) for fruit-related traits and powdery mildew resistance in two trials. All traits were significantly different (P < 0.05) between parents. The generated linkage map consisted of twelve major linkage groups (LGs), spanning 626.1 cM in total, with an average distance of 8.3 cM between flanking markers. Nineteen QTLs were detected for seven melon traits, among which ten QTLs were localized to the same positions as the corresponding QTLs described in other studies. Four of these QTLs were detected in both trials. The results of identified QTLs in this study suggested that fruit size in the tested populations were mainly determined by fruit diameter and flesh thickness. All of the major QTLs for fruit diameter and flesh thickness were identified on LG5 and LG11. Four QTLs identified responsible for netting width of fruit rind were co-localized with the QTLs for netting density, suggesting similar genetic mechanisms affecting these two traits. Additionally, only one major QTL for powdery mildew resistance was detected on LG2, and it was closely linked to a simple sequence repeat (SSR) marker CMBR120 which was identified in a previous study. CONCLUSION Because the netting feature is a crucial factor for external appearance of fruits in Asia market, we focus on mining the genetic information of fruit netting. This is the first report of QTL mapping to netting width. Furthermore, new QTLs were identified for netting density (qND4, qND6, and qND7) and netting width (qNW2, qNW4, qNW6, and qNW7) successfully. In addition, novel QTLs for fruit diameter (qFD5), flesh thickness (qFT11) were also detected.
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Affiliation(s)
- Yu-Hua Wang
- Crop Science Division, Taiwan Agricultural Research Institute, Council of Agriculture (COA), Taichung, Taiwan
- Department of Horticulture and Landscape Architecture, National Taiwan University, Taipei, Taiwan
| | - Dong-Hong Wu
- Crop Science Division, Taiwan Agricultural Research Institute, Council of Agriculture (COA), Taichung, Taiwan
| | - Jin-Hsing Huang
- Plant Pathology Division, Taiwan Agricultural Research Institute, Council of Agriculture (COA), Taichung, Taiwan
| | - Shing-Jy Tsao
- Department of Horticulture and Landscape Architecture, National Taiwan University, Taipei, Taiwan
| | - Kae-Kang Hwu
- Department of Agronomy, National Taiwan University, Taipei, Taiwan
| | - Hsiao-Feng Lo
- Department of Horticulture and Landscape Architecture, National Taiwan University, Taipei, Taiwan
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Perpiñá G, Esteras C, Gibon Y, Monforte AJ, Picó B. A new genomic library of melon introgression lines in a cantaloupe genetic background for dissecting desirable agronomical traits. BMC PLANT BIOLOGY 2016; 16:154. [PMID: 27390934 PMCID: PMC4938994 DOI: 10.1186/s12870-016-0842-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 06/28/2016] [Indexed: 05/22/2023]
Abstract
BACKGROUND Genomic libraries of introgression lines (ILs) consist of collections of homozygous lines with a single chromosomal introgression from a donor genotype in a common, usually elite, genetic background, representing the whole donor genome in the full collection. Currently, the only available melon IL collection was generated using Piel de sapo (var. inodorus) as the recurrent background. ILs are not available in genetic backgrounds representing other important market class cultivars, such as the cantalupensis. The recent availability of genomic tools in melon, such as SNP collections and genetic maps, facilitates the development of such mapping populations. RESULTS We have developed a new genomic library of introgression lines from the Japanese cv. Ginsen Makuwa (var. makuwa) into the French Charentais-type cv. Vedrantais (var. cantalupensis) genetic background. In order to speed up the breeding program, we applied medium-throughput SNP genotyping with Sequenom MassARRAY technology in early backcross generations and High Resolution Melting in the final steps. The phenotyping of the backcross generations and of the final set of 27 ILs (averaging 1.3 introgressions/plant and covering nearly 100 % of the donor genome), in three environments, allowed the detection of stable QTLs for flowering and fruit quality traits, including some that affect fruit size in chromosomes 6 and 11, others that change fruit shape in chromosomes 7 and 11, others that change flesh color in chromosomes 2, 8 and 9, and still others that increase sucrose content and delay climacteric behavior in chromosomes 5 and 10. CONCLUSIONS A new melon IL collection in the Charentais genetic background has been developed. Genomic regions that consistently affect flowering and fruit quality traits have been identified, which demonstrates the suitability of this collection for dissecting complex traits in melon. Additionally, pre-breeding lines with new, commercially interesting phenotypes have been observed, including delayed climacteric ripening associated to higher sucrose levels, which is of great interest for Charentais cultivar breeding.
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Affiliation(s)
- Gorka Perpiñá
- />Instituto de Conservación y Mejora de la Agrodiversidad, Universitat Politècnica de València (COMAV-UPV), Camino de Vera s/n, 46022 Valencia, Spain
| | - Cristina Esteras
- />Instituto de Conservación y Mejora de la Agrodiversidad, Universitat Politècnica de València (COMAV-UPV), Camino de Vera s/n, 46022 Valencia, Spain
| | - Yves Gibon
- />UMR1332 Biologie du Fruit et Pathologie and Plateforme Métabolome, INRA-Bordeaux and Bordeaux University, 71 av. Edouard Bourlaux, 33140 Villenave d’Ornon, France
| | - Antonio J. Monforte
- />Instituto de Biología Molecular y Celular de Plantas (IBMCP) UPV-CSIC, Ciudad Politécnica de la Innovación Edificio 8E, Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
| | - Belén Picó
- />Instituto de Conservación y Mejora de la Agrodiversidad, Universitat Politècnica de València (COMAV-UPV), Camino de Vera s/n, 46022 Valencia, Spain
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