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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] [What about the content of this article? (0)] [Affiliation(s)] [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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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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] [What about the content of this article? (0)] [Affiliation(s)] [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] [What about the content of this article? (0)] [Affiliation(s)] [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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Santo Domingo M, Mayobre C, Pereira L, Argyris J, Valverde L, Martín-Hernández AM, Garcia-Mas J, Pujol M. Fruit Morphology and Ripening-Related QTLs in a Newly Developed Introgression Line Collection of the Elite Varieties 'Védrantais' and 'Piel de Sapo'. Plants (Basel) 2022; 11:plants11223120. [PMID: 36432848 PMCID: PMC9694011 DOI: 10.3390/plants11223120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/21/2022] [Accepted: 11/10/2022] [Indexed: 05/28/2023]
Abstract
Melon is an economically important crop with widely diverse fruit morphology and ripening characteristics. Its diploid sequenced genome and multiple genomic tools make this species suitable to study the genetic architecture of fruit traits. With the development of this introgression line population of the elite varieties 'Piel de Sapo' and 'Védrantais', we present a powerful tool to study fruit morphology and ripening traits that can also facilitate characterization or pyramidation of QTLs in inodorous melon types. The population consists of 36 lines covering almost 98% of the melon genome, with an average of three introgressions per chromosome and segregating for multiple fruit traits: morphology, ripening and quality. High variability in fruit morphology was found within the population, with 24 QTLs affecting six different traits, confirming previously reported QTLs and two newly detected QTLs, FLQW5.1 and FWQW7.1. We detected 20 QTLs affecting fruit ripening traits, six of them reported for the first time, two affecting the timing of yellowing of the rind (EYELLQW1.1 and EYELLQW8.1) and four at the end of chromosome 8 affecting aroma, abscission and harvest date (EAROQW8.3, EALFQW8.3, ABSQW8.3 and HARQW8.3). We also confirmed the location of several QTLs, such as fruit-quality-related QTLs affecting rind and flesh appearance and flesh firmness.
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Affiliation(s)
- Miguel Santo Domingo
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
| | - Carlos Mayobre
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
| | - Lara Pereira
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
| | - Jason Argyris
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), 08193 Barcelona, Spain
| | - Laura Valverde
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
| | - Ana Montserrat Martín-Hernández
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), 08193 Barcelona, Spain
| | - Jordi Garcia-Mas
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), 08193 Barcelona, Spain
| | - Marta Pujol
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), 08193 Barcelona, Spain
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Wu W, Wang P, Huang X, Su L, Lv H, Gou J, Cheng Z, Ma L, Yu W, Liu Z. Fine Mapping and Functional Analysis of Major Regulatory Genes of Soluble Solids Content in Wax Gourd (Benincasa hispida). Int J Mol Sci 2022; 23:6999. [PMID: 35806004 PMCID: PMC9266771 DOI: 10.3390/ijms23136999] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 11/17/2022] Open
Abstract
Soluble solids content (SSC) is an important quality trait of wax gourd, but reports about its regulatory genes are scarce. In this study, the SSC regulatory gene BhSSC2.1 in wax gourd was mined via quantitative trait locus (QTL) mapping based on high-density genetic mapping containing 12 linkage groups (LG) and bulked segregant analysis (BSA)-seq. QTL mapping and BSA-seq revealed for the first time that the SSC QTL (107.658–108.176 cM) of wax gourd was on Chr2 (LG2). The interpretable phenotypic variation rate and maximum LOD were 16.033% and 6.454, respectively. The QTL interval contained 13 genes. Real-time fluorescence quantitative expression analysis, functional annotation, and sequence analysis suggested that Bch02G016960, named BhSSC2.1, was a candidate regulatory gene of the SSC in wax gourd. Functional annotation of this gene showed that it codes for a NADP-dependent malic enzyme. According to BhSSC2.1 sequence variation, an InDel marker was developed for molecular marker-assisted breeding of wax gourd. This study will lay the foundation for future studies regarding breeding and understanding genetic mechanisms of wax gourd.
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Boualem A, Berthet S, Devani RS, Camps C, Fleurier S, Morin H, Troadec C, Giovinazzo N, Sari N, Dogimont C, Bendahmane A. Ethylene plays a dual role in sex determination and fruit shape in cucurbits. Curr Biol 2022; 32:2390-2401.e4. [PMID: 35525245 DOI: 10.1016/j.cub.2022.04.031] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 03/21/2022] [Accepted: 04/08/2022] [Indexed: 10/18/2022]
Abstract
Shapes of vegetables and fruits are the result of adaptive evolution and human selection. Modules controlling organ shape have been identified. However, little is known about signals coordinating organ development and shape. Here, we describe the characterization of a melon mutation rf1, leading to round fruit. Histological analysis of rf1 flower and fruits revealed fruit shape is determined at flower stage 8, after sex determination and before flower fertilization. Using positional cloning, we identified the causal gene as the monoecy sex determination gene CmACS7, and survey of melon germplasms showed strong association between fruit shape and sexual types. We show that CmACS7-mediated ethylene production in carpel primordia enhances cell expansion and represses cell division, leading to elongated fruit. Cell size is known to rise as a result of endoreduplication. At stage 8 and anthesis, we found no variation in ploidy levels between female and hermaphrodite flowers, ruling out endoreduplication as a factor in fruit shape determination. To pinpoint the gene networks controlling elongated versus round fruit phenotype, we analyzed the transcriptomes of laser capture microdissected carpels of wild-type and rf1 mutant. These high-resolution spatiotemporal gene expression dynamics revealed the implication of two regulatory modules. The first module implicates E2F-DP transcription factors, controlling cell elongation versus cell division. The second module implicates OVATE- and TRM5-related proteins, controlling cell division patterns. Our finding highlights the dual role of ethylene in the inhibition of the stamina development and the elongation of ovary and fruit in cucurbits.
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Affiliation(s)
- Adnane Boualem
- Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190 Gif sur Yvette, France
| | - Serge Berthet
- Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190 Gif sur Yvette, France
| | - Ravi Sureshbhai Devani
- Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190 Gif sur Yvette, France
| | - Celine Camps
- Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190 Gif sur Yvette, France
| | - Sebastien Fleurier
- Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190 Gif sur Yvette, France
| | - Halima Morin
- Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190 Gif sur Yvette, France
| | - Christelle Troadec
- Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190 Gif sur Yvette, France
| | - Nathalie Giovinazzo
- INRAE GAFL, Génétique et Amélioration des Fruits et Légumes, 84143 Montfavet, France
| | - Nebahat Sari
- INRAE GAFL, Génétique et Amélioration des Fruits et Légumes, 84143 Montfavet, France
| | - Catherine Dogimont
- INRAE GAFL, Génétique et Amélioration des Fruits et Légumes, 84143 Montfavet, France
| | - Abdelhafid Bendahmane
- Université Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190 Gif sur Yvette, France.
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Dutta D, Harper A, Gangopadhyay G. Transcriptomic analysis of high oil-yielding cultivated white sesame and low oil-yielding wild black sesame seeds reveal differentially expressed genes for oil and seed coat colour. Nucleus 2022. [DOI: 10.1007/s13237-022-00389-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Ma J, Li C, Zong M, Qiu Y, Liu Y, Huang Y, Xie Y, Zhang H, Wang J. CmFSI8/CmOFP13 encoding an OVATE family protein controls fruit shape in melon. J Exp Bot 2022; 73:1370-1384. [PMID: 34849737 DOI: 10.1093/jxb/erab510] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/20/2021] [Indexed: 06/13/2023]
Abstract
Fruit shape is an important quality and yield trait in melon (Cucumis melo). Although some quantitative trait loci for fruit shape have been reported in in this species, the genes responsible and the underlying mechanisms remain poorly understood. Here, we identified and characterized a gene controlling fruit shape from two melon inbred lines, B8 with long-horn fruit and HP22 with flat-round fruit. Genetic analysis suggested that the shape was controlled by a single and incompletely dominant locus, which we designate as CmFSI8/CmOFP13. This gene was finely mapped to a 53.7-kb interval on chromosome 8 based on bulked-segregant analysis sequencing and map-based cloning strategies. CmFSI8/CmOFP13 encodes an OVATE family protein (OFP) and is orthologous to AtOFP1 and SlOFP20. The transcription level of CmFSI8/CmOFP13 in the ovary of HP22 was significantly higher than that in B8, and sequence analysis showed that a 12.5-kb genomic variation with a retrotransposon insertion identified in the promoter was responsible for elevating the expression, and this ultimately caused the differences in fruit shape. Ectopic overexpression of CmFSI8/CmOFP13 in Arabidopsis led to multiple phenotypic changes, including kidney-shaped leaves and shortened siliques. Taken together, our results demonstrate the involvement of an OFP in regulating fruit shape in melon, and our improved understanding of the molecular mechanisms will enable us to better manipulate fruit shape in breeding.
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Affiliation(s)
- Jian Ma
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Congcong Li
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Mei Zong
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yanhong Qiu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yuemin Liu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yating Huang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yuli Xie
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Huijun Zhang
- School of Life Science, Huaibei Normal University, Huaibei, Anhui, 235000, China
| | - Jianshe Wang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
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Martínez-Martínez C, Gonzalo MJ, Sipowicz P, Campos M, Martínez-Fernández I, Leida C, Zouine M, Alexiou KG, Garcia-Mas J, Gómez MD, Tornero P, Pérez-Amador MÁ, Esteras C, Picó B, Romero C, Monforte AJ. A cryptic variation in a member of the Ovate Family Proteins is underlying the melon fruit shape QTL fsqs8.1. Theor Appl Genet 2022; 135:785-801. [PMID: 34821982 PMCID: PMC8942903 DOI: 10.1007/s00122-021-03998-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 11/08/2021] [Indexed: 06/01/2023]
Abstract
The gene underlying the melon fruit shape QTL fsqs8.1 is a member of the Ovate Family Proteins. Variation in fruit morphology is caused by changes in gene expression likely due to a cryptic structural variation in this locus. Melon cultivars have a wide range of fruit morphologies. Quantitative trait loci (QTL) have been identified underlying such diversity. This research focuses on the fruit shape QTL fsqs8.1, previously detected in a cross between the accession PI 124112 (CALC, producing elongated fruit) and the cultivar 'Piel de Sapo' (PS, producing oval fruit). The CALC fsqs8.1 allele induced round fruit shape, being responsible for the transgressive segregation for this trait observed in that population. In fact, the introgression line CALC8-1, carrying the fsqs8.1 locus from CALC into the PS genetic background, produced perfect round fruit. Following a map-based cloning approach, we found that the gene underlying fsqs8.1 is a member of the Ovate Family Proteins (OFP), CmOFP13, likely a homologue of AtOFP1 and SlOFP20 from Arabidopsis thaliana and tomato, respectively. The induction of the round shape was due to the higher expression of the CALC allele at the early ovary development stage. The fsqs8.1 locus showed an important structural variation, being CmOFP13 surrounded by two deletions in the CALC genome. The deletions are present at very low frequency in melon germplasm. Deletions and single nucleotide polymorphisms in the fsqs8.1 locus could not be not associated with variation in fruit shape among different melon accessions, what indicates that other genetic factors should be involved to induce the CALC fsqs8.1 allele effects. Therefore, fsqs8.1 is an example of a cryptic variation that alters gene expression, likely due to structural variation, resulting in phenotypic changes in melon fruit morphology.
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Affiliation(s)
- Cecilia Martínez-Martínez
- 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
- Universidad de Almería, Almería, 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
| | - Pablo Sipowicz
- 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
- Instituto Nacional de Tecnología Agropecuaria (INTA), Buenos Aires, Argentina
| | - 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
| | - Irene Martínez-Fernández
- 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
| | - Carmen Leida
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València (UPV), Valencia, Spain
| | - Mohammed Zouine
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, Toulouse INP, Auzeville-Tolosane, France
| | - Konstantinos G Alexiou
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, Bellaterra, Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Bellaterra, Barcelona, Spain
| | - Jordi Garcia-Mas
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, Bellaterra, Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Bellaterra, Barcelona, Spain
| | - María Dolores Gómez
- 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
| | - Pablo Tornero
- 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
| | - Miguel Ángel Pérez-Amador
- 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
| | | | - Belén Picó
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València (UPV), Valencia, Spain
| | - Carlos Romero
- 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
| | - Antonio J 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.
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11
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Oren E, Tzuri G, Dafna A, Rees ER, Song B, Freilich S, Elkind Y, Isaacson T, Schaffer AA, Tadmor Y, Burger J, Buckler ES, Gur A. QTL mapping and genomic analyses of earliness and fruit ripening traits in a melon Recombinant Inbred Lines population supported by de novo assembly of their parental genomes. Hortic Res 2022; 9:uhab081. [PMID: 35043206 PMCID: PMC8968493 DOI: 10.1093/hr/uhab081] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 11/01/2021] [Accepted: 11/04/2021] [Indexed: 05/27/2023]
Abstract
Earliness and ripening behavior are important attributes of fruits on and off the vine, and affect quality and preference of both growers and consumers. Fruit ripening is a complex physiological process that involves metabolic shifts affecting fruit color, firmness, and aroma production. Melon is a promising model crop for the study of fruit ripening, as the full spectrum of climacteric behavior is represented across the natural variation. Using Recombinant Inbred Lines (RILs) population derived from the parental lines "Dulce" (reticulatus, climacteric) and "Tam Dew" (inodorus, non-climacteric) that vary in earliness and ripening traits, we mapped QTLs for ethylene emission, fruit firmness and days to flowering and maturity. To further annotate the main QTL intervals and identify candidate genes, we used Oxford Nanopore long-read sequencing in combination with Illumina short-read resequencing, to assemble the parental genomes de-novo. In addition to 2.5 million genome-wide SNPs and short InDels detected between the parents, we also highlight here the structural variation between these lines and the reference melon genome. Through systematic multi-layered prioritization process, we identified 18 potential polymorphisms in candidate genes within multi-trait QTLs. The associations of selected SNPs with earliness and ripening traits were further validated across a panel of 177 diverse melon accessions and across a diallel population of 190 F1 hybrids derived from a core subset of 20 diverse parents. The combination of advanced genomic tools with diverse germplasm and targeted mapping populations is demonstrated as a way to leverage forward genetics strategies to dissect complex horticulturally important traits.
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Affiliation(s)
- Elad Oren
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, P.O. Box 1021, Ramat Yishay 3009500, 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, Ramat Yishay 3009500, Israel
| | - Asaf Dafna
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, P.O. Box 1021, Ramat Yishay 3009500, Israel
| | - Evan R Rees
- Plant Breeding and Genetics Section, Cornell University, Ithaca, NY 14853, USA
| | - Baoxing Song
- Plant Breeding and Genetics Section, Cornell University, Ithaca, NY 14853, USA
| | - Shiri Freilich
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, P.O. Box 1021, Ramat Yishay 3009500, 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
| | - Tal Isaacson
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, P.O. Box 1021, Ramat Yishay 3009500, Israel
| | - Arthur A Schaffer
- Plant Science Institute, Agricultural Research Organization, The Volcani Center, P.O. Box 15159, Rishon LeZiyyon 7507101, Israel
| | - Yaakov Tadmor
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, P.O. Box 1021, Ramat Yishay 3009500, Israel
| | - Joseph Burger
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, P.O. Box 1021, Ramat Yishay 3009500, Israel
| | - Edward S Buckler
- Plant Breeding and Genetics Section, Cornell University, Ithaca, NY 14853, USA
- United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY 14853, USA
| | - Amit Gur
- Plant Science Institute, Agricultural Research Organization, Newe Ya’ar Research Center, P.O. Box 1021, Ramat Yishay 3009500, Israel
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12
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Martínez C, Valenzuela JL, Jamilena M. Genetic and Pre- and Postharvest Factors Influencing the Content of Antioxidants in Cucurbit Crops. Antioxidants (Basel) 2021; 10:antiox10060894. [PMID: 34199481 PMCID: PMC8228042 DOI: 10.3390/antiox10060894] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 05/28/2021] [Accepted: 05/29/2021] [Indexed: 11/16/2022] Open
Abstract
Cucurbitaceae is one of the most economically important plant families, and includes some worldwide cultivated species like cucumber, melons, and squashes, and some regionally cultivated and feral species that contribute to the human diet. For centuries, cucurbits have been appreciated because of their nutritional value and, in traditional medicine, because of their ability to alleviate certain ailments. Several studies have demonstrated the remarkable contents of valuable compounds in cucurbits, including antioxidants such as polyphenols, flavonoids, and carotenoids, but also tannins and terpenoids, which are abundant. This antioxidant power is beneficial for human health, but also in facing plant diseases and abiotic stresses. This review brings together data on the antioxidant properties of cucurbit species, addressing the genetic and pre- and postharvest factors that regulate the antioxidant content in different plant organs. Environmental conditions, management, storage, and pre- and postharvest treatments influencing the biosynthesis and activity of antioxidants, together with the biodiversity of this family, are determinant in improving the antioxidant potential of this group of species. Plant breeding, as well as the development of innovative biotechnological approaches, is also leading to new possibilities for exploiting cucurbits as functional products.
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13
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Pereira L, Santo Domingo M, Argyris J, Mayobre C, Valverde L, Martín-Hernández AM, Pujol M, Garcia-Mas J. A novel introgression line collection to unravel the genetics of climacteric ripening and fruit quality in melon. Sci Rep 2021; 11:11364. [PMID: 34059766 PMCID: PMC8166866 DOI: 10.1038/s41598-021-90783-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 05/18/2021] [Indexed: 11/09/2022] Open
Abstract
Introgression lines are valuable germplasm for scientists and breeders, since they ease genetic studies such as QTL interactions and positional cloning as well as the introduction of favorable alleles into elite varieties. We developed a novel introgression line collection in melon using two commercial European varieties with different ripening behavior, the climacteric cantalupensis 'Védrantais' as recurrent parent and the non-climacteric inodorus 'Piel de Sapo' as donor parent. The collection contains 34 introgression lines, covering 99% of the donor genome. The mean introgression size is 18.16 Mb and ~ 3 lines were obtained per chromosome, on average. The high segregation of these lines for multiple fruit quality traits allowed us to identify 27 QTLs that modified sugar content, altered fruit morphology or were involved in climacteric ripening. In addition, we confirmed the genomic location of five major genes previously described, which control mainly fruit appearance, such as mottled rind and external color. Most of the QTLs had been reported before in other populations sharing parental lines, while three QTLs (EAROQP11.3, ECDQP11.2 and FIRQP4.1) were newly detected in our work. These introgression lines would be useful to perform additional genetic studies, as fine mapping and gene pyramiding, especially for important complex traits such as fruit weight and climacteric 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, Bellaterra, Barcelona, Spain
| | - Miguel Santo Domingo
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain
| | - Jason Argyris
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain.,Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain
| | - Carlos Mayobre
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain
| | - Laura Valverde
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain
| | - Ana Montserrat Martín-Hernández
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain.,Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain
| | - Marta Pujol
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain. .,Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain.
| | - Jordi Garcia-Mas
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain. .,Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Edifici CRAG, Campus UAB, 08193, Bellaterra, Barcelona, Spain.
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14
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Liu S, Gao P, Zhu Q, Zhu Z, Liu H, Wang X, Weng Y, Gao M, Luan F. Resequencing of 297 melon accessions reveals the genomic history of improvement and loci related to fruit traits in melon. Plant Biotechnol J 2020; 18:2545-2558. [PMID: 32559013 PMCID: PMC7680547 DOI: 10.1111/pbi.13434] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 06/01/2020] [Accepted: 06/04/2020] [Indexed: 05/21/2023]
Abstract
Domestication and improvement are two important stages in crop evolution. Melon (Cucumis melo L.) is an important vegetable crop with wide phenotypic diversity in many horticultural traits, especially fruit size, flesh thickness and aroma, which are likely the results of long-term extensive selection during its evolution. However, selective signals in domestication and improvement stages for these remarkable variations remain unclear. We resequenced 297 wild, landrace and improved melon accessions and obtained 2 045 412 high-quality SNPs. Population structure and genetic diversity analyses revealed independent and two-step selections in two subspecies of melon: ssp. melo and ssp. agrestis during melon breeding. We detected 233 (~18.35 Mbp) and 159 (~17.71 Mbp) novel potential selective signals during the improvement stage in ssp. agrestis and spp. melo, respectively. Two alcohol acyltransferase genes (CmAATs) unique to the melon genome compared with other cucurbit crops may have undergone stronger selection in ssp. agrestis for the characteristic aroma as compared with other cucurbits. Genome-wide association analysis identified eight fruit size and seven flesh thickness signals overlapping with selective sweeps. Compared with thin-skinned ssp. agrestis, thick-skinned ssp. melo has undergone a stronger selection for thicker flesh. In most melon accessions, CmCLV3 has pleiotropic effects on carpel number and fruit shape. Findings from this study provide novel insights into melon crop evolution, and new tools to advance melon breeding.
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Affiliation(s)
- Shi Liu
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region)Ministry of Agriculture and Rural AffairsNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
- College of Horticulture and Landscape ArchitectureNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
| | - Peng Gao
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region)Ministry of Agriculture and Rural AffairsNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
- College of Horticulture and Landscape ArchitectureNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
| | - Qianglong Zhu
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region)Ministry of Agriculture and Rural AffairsNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
- College of Horticulture and Landscape ArchitectureNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
| | - Zicheng Zhu
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region)Ministry of Agriculture and Rural AffairsNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
- College of Horticulture and Landscape ArchitectureNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
| | - Hongyu Liu
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region)Ministry of Agriculture and Rural AffairsNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
- College of Horticulture and Landscape ArchitectureNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
| | - Xuezheng Wang
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region)Ministry of Agriculture and Rural AffairsNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
- College of Horticulture and Landscape ArchitectureNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
| | - Yiqun Weng
- USDA‐ARSVegetable Crops Research UnitHorticulture DepartmentUniversity of WisconsinMadison CityWIUSA
| | - Meiling Gao
- College of Life Sciences, Agriculture and ForestryQiqihar UniversityQiqihar CityHeilongjiang ProvinceChina
| | - Feishi Luan
- Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region)Ministry of Agriculture and Rural AffairsNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
- College of Horticulture and Landscape ArchitectureNortheast Agricultural UniversityHarbin CityHeilongjiang ProvinceChina
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15
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Pan Y, Wen C, Han Y, Wang Y, Li Y, Li S, Cheng X, Weng Y. QTL for horticulturally important traits associated with pleiotropic andromonoecy and carpel number loci, and a paracentric inversion in cucumber. Theor Appl Genet 2020; 133:2271-2290. [PMID: 32306094 DOI: 10.1007/s00122-020-03596-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 04/05/2020] [Indexed: 06/11/2023]
Abstract
The legendary cucumber inbred line WI2757 possesses a rare combination of resistances against nine pathogens, which is an important germplasm for cucumber breeding. However, WI2757 flowers late and does not perform well under field conditions. The genetic basis for horticulturally important traits other than disease resistances in WI2757 is largely unknown. In this study, we conducted QTL mapping using F2 and recombinant inbred line (RIL) populations from the WI2757 × True Lemon cross that were segregating for multiple traits. Phenotypic data were collected in replicated field trials across multiple years for seven traits including fruit carpel number (CN) and sex expression. A high-density SNP-based genetic map was developed with genotyping by sequencing of the RIL population, which revealed a region on chromosome 1 with strong recombination suppression. The reduced recombination in this region was due to a ~ 10-Mbp paracentric inversion in WI2757 that was confirmed with additional segregation and cytological (FISH) analyses. Thirty-six QTL were detected for flowering time, fruit length (FL), fruit diameter (FD), fruit shape (LD), fruit number (FN), CN, and powdery mildew resistance. Five moderate- or major-effect QTL for FL, FD, LD, and FN inside the inversion are likely the pleiotropic effects of the andromonoecy (m), or the cn locus. The major-effect flowering time QTL ft1.1 was also mapped inside the inversion, which seems to be different from the previously assigned delayed flowering in WI2757. Implications of these findings on the use of WI2757 in cucumber breeding are discussed.
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Affiliation(s)
- Yupeng Pan
- College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Changlong Wen
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China
| | - Yonghua Han
- Institute of Integrative Plant Biology, School of Life Sciences, Jiangsu Normal University, Xuzhou, 221116, China
| | - Yuhui Wang
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Yuhong Li
- College of Horticulture, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Sen Li
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Horticulture College, Shanxi Agricultural University, Taigu, 030801, China
| | - Xiaomao Cheng
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - 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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16
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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. Theor Appl Genet 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] [What about the content of this article? (0)] [Affiliation(s)] [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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17
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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. Theor Appl Genet 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] [What about the content of this article? (0)] [Affiliation(s)] [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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18
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Du H, Zhang H, Wei L, Li C, Duan Y, Wang H. A high-density genetic map constructed using specific length amplified fragment (SLAF) sequencing and QTL mapping of seed-related traits in sesame (Sesamum indicum L.). BMC Plant Biol 2019; 19:588. [PMID: 31881840 PMCID: PMC6935206 DOI: 10.1186/s12870-019-2172-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 11/28/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND Sesame (Sesamum indicum L., 2n = 2x = 26) is an important oilseed crop with high oil content but small seed size. To reveal the genetic loci of the quantitative seed-related traits, we constructed a high-density single nucleotide polymorphism (SNP) linkage map of an F2 population by using specific length amplified fragment (SLAF) technique and determined the quantitative trait loci (QTLs) of seed-related traits for sesame based on the phenotypes of F3 progeny. RESULTS The genetic map comprised 2159 SNP markers distributed on 13 linkage groups (LGs) and was 2128.51 cM in length, with an average distance of 0.99 cM between adjacent markers. QTL mapping revealed 19 major-effect QTLs with the phenotypic effect (R2) more than 10%, i.e., eight QTLs for seed coat color, nine QTLs for seed size, and two QTLs for 1000-seed weight (TSW), using composite interval mapping method. Particularly, LG04 and LG11 contained collocated QTL regions for the seed coat color and seed size traits, respectively, based on their close or identical locations. In total, 155 candidate genes for seed coat color, 22 for seed size traits, and 54 for TSW were screened and analyzed. CONCLUSIONS This report presents the first QTL mapping of seed-related traits in sesame using an F2 population. The results reveal the location of specific markers associated with seed-related traits in sesame and provide the basis for further seed quality traits research.
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Affiliation(s)
- Hua Du
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Haiyang Zhang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Libin Wei
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Chun Li
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Yinghui Duan
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Huili Wang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of 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. J Exp Bot 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] [What about the content of this article? (0)] [Affiliation(s)] [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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20
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Bo K, Wei S, Wang W, Miao H, Dong S, Zhang S, Gu X. QTL mapping and genome-wide association study reveal two novel loci associated with green flesh color in cucumber. BMC Plant Biol 2019; 19:243. [PMID: 31174472 PMCID: PMC6556036 DOI: 10.1186/s12870-019-1835-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 05/15/2019] [Indexed: 05/05/2023]
Abstract
BACKGROUND Green flesh color, resulting from the accumulation of chlorophyll, is one of the most important commercial traits for the fruits. The genetic network regulating green flesh formation has been studied in tomato, melon and watermelon. However, little is known about the inheritance and molecular basis of green flesh in cucumber. This study sought to determine the main genomic regions associated with green flesh. Three F2 and two BC1 populations derived from the 9110Gt (cultivated cucumber, green flesh color) and PI183967 (wild cucumber, white flesh color) were used for the green flesh genetic analysis. Two F2 populations of them were further employed to do the map construction and quantitative trait loci (QTL) study. Also, a core cucumber germplasms population was used to do the GWAS analysis. RESULTS We identified three indexes, flesh color (FC), flesh extract color (FEC) and flesh chlorophyll content (FCC) in three environments. Genetic analysis indicated that green flesh color in 9110Gt is controlled by a major-effect QTL. We developed two genetic maps with 192 and 174 microsatellite markers respectively. Two novel inversions in Chr1 were identified between cultivated and wild cucumbers. The major-effect QTL, qgf5.1, was identified using FC, FEC and FCC index in all different environments used. In addition, the same qgf5.1, together with qgf3.1, was identified via GWAS. Further investigation of two candidate regions using pairwise LD correlations, combined with genetic diversity of qgf5.1 in natural populations, it was found that Csa5G021320 is the candidate gene of qgf5.1. Geographical distribution revealed that green flesh color formation could be due to the high latitude, which has longer day time to produce the photosynthesis and chlorophyll synthesis during cucumber domestication and evolution. CONCLUSIONS We first reported the cucumber green flesh color is a quantitative trait. We detected two novel loci qgf5.1 and qgf3.1, which regulate the green flesh formation in cucumber. The QTL mapping and GWAS approaches identified several candidate genes for further validation using functional genomics or forward genetics approaches. Findings from the present study provide a new insight into the genetic control of green flesh in cucumber.
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Affiliation(s)
- Kailiang Bo
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Shuang Wei
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Weiping Wang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Han Miao
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Shaoyun Dong
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Shengping Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xingfang Gu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
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21
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Akrami M, Arzani A. Inheritance of fruit yield and quality in melon (Cucumis melo L.) grown under field salinity stress. Sci Rep 2019; 9:7249. [PMID: 31076605 DOI: 10.1038/s41598-019-43616-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 04/29/2019] [Indexed: 12/04/2022] Open
Abstract
Cultivation of salinity-tolerant crops can help mitigate salinization threats to soil and fresh water resources. This study was conducted to investigate the quantitative genetic basis of yield, yield components, and quality-related traits of salinity-stressed melon (Cucumis melo L.) using 55 melon hybrids and their 11 parents (half diallel). The results of combined ANOVA revealed highly significant effects of salinity and genotype on all the traits studied. Salinity stress influenced the inheritance of all the traits. The lower values of variance components (mainly additive), GCA/SCA ratio, as well as broad- and narrow-sense heritabilities were estimated for saline conditions (ECW = 14 dSm−1) when compared with those obtained under non-saline conditions. Fruit weight was governed by additive effects in non-saline conditions, but largely governed by the dominant nature in saline conditions. Based on the results obtained, especially as reflected by fruit yield, it is possible to develop melon hybrids with higher salinity tolerance than is currently observed in tolerant cultivars. On the other hand, most of the traits contributing to fruit quality are found to be governed by additive effects, allowing for their further improvement through recurrent selection to develop new cultivars of high yield and good quality for cultivation under saline conditions.
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22
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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 Biol 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] [What about the content of this article? (0)] [Affiliation(s)] [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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23
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Diaz-Garcia L, Covarrubias-Pazaran G, Schlautman B, Grygleski E, Zalapa J. Image-based phenotyping for identification of QTL determining fruit shape and size in American cranberry ( Vaccinium macrocarpon L.). PeerJ 2018; 6:e5461. [PMID: 30128209 PMCID: PMC6098679 DOI: 10.7717/peerj.5461] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 07/26/2018] [Indexed: 12/12/2022] Open
Abstract
Image-based phenotyping methodologies are powerful tools to determine quality parameters for fruit breeders and processors. The fruit size and shape of American cranberry (Vaccinium macrocarpon L.) are particularly important characteristics that determine the harvests’ processing value and potential end-use products (e.g., juice vs. sweetened dried cranberries). However, cranberry fruit size and shape attributes can be difficult and time consuming for breeders and processors to measure, especially when relying on manual measurements and visual ratings. Therefore, in this study, we implemented image-based phenotyping techniques for gathering data regarding basic cranberry fruit parameters such as length, width, length-to-width ratio, and eccentricity. Additionally, we applied a persistent homology algorithm to better characterize complex shape parameters. Using this high-throughput artificial vision approach, we characterized fruit from 351 progeny from a full-sib cranberry population over three field seasons. Using a covariate analysis to maximize the identification of well-supported quantitative trait loci (QTL), we found 252 single QTL in a 3-year period for cranberry fruit size and shape descriptors from which 20% were consistently found in all years. The present study highlights the potential for the identified QTL and the image-based methods to serve as a basis for future explorations of the genetic architecture of fruit size and shape in cranberry and other fruit crops.
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Affiliation(s)
- Luis Diaz-Garcia
- Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Pabellon de Arteaga, Aguascalientes, Mexico.,University of Wisconsin-Madison, Madison, WI, USA
| | | | | | | | - Juan Zalapa
- University of Wisconsin-Madison, Madison, WI, USA.,Vegetable Crops Research Unit, USDA-ARS, Madison, WI, USA
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24
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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. Plant J 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] [What about the content of this article? (0)] [Affiliation(s)] [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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25
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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 Physiol 2018; 59:e4. [PMID: 29216378 DOI: 10.1093/pcp/pcx193] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Diouf IA, Derivot L, Bitton F, Pascual L, Causse M. Water Deficit and Salinity Stress Reveal Many Specific QTL for Plant Growth and Fruit Quality Traits in Tomato. Front Plant Sci 2018; 9:279. [PMID: 29559986 PMCID: PMC5845638 DOI: 10.3389/fpls.2018.00279] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 02/19/2018] [Indexed: 05/20/2023]
Abstract
Quality is a key trait in plant breeding, especially for fruit and vegetables. Quality involves several polygenic components, often influenced by environmental conditions with variable levels of genotype × environment interaction that must be considered in breeding strategies aiming to improve quality. In order to assess the impact of water deficit and salinity on tomato fruit quality, we evaluated a multi-parent advanced generation intercross (MAGIC) tomato population in contrasted environmental conditions over 2 years, one year in control vs. drought condition and the other in control vs. salt condition. Overall 250 individual lines from the MAGIC population-derived from eight parental lines covering a large diversity in cultivated tomato-were used to identify QTL in both experiments for fruit quality and yield component traits (fruit weight, number of fruit, Soluble Solid Content, firmness), phenology traits (time to flower and ripe) and a vegetative trait, leaf length. All the traits showed a large genotype variation (33-86% of total phenotypic variation) in both experiments and high heritability whatever the year or treatment. Significant genotype × treatment interactions were detected for five of the seven traits over the 2 years of experiments. QTL were mapped using 1,345 SNP markers. A total of 54 QTL were found among which 15 revealed genotype × environment interactions and 65% (35 QTL) were treatment specific. Confidence intervals of the QTL were projected on the genome physical map and allowed identifying regions carrying QTL co-localizations, suggesting pleiotropic regulation. We then applied a strategy for candidate gene detection based on the high resolution mapping offered by the MAGIC population, the allelic effect of each parental line at the QTL and the sequence information of the eight parental lines.
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Affiliation(s)
- Isidore A. Diouf
- INRA, UR1052, Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
| | | | - Frédérique Bitton
- INRA, UR1052, Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
| | - Laura Pascual
- INRA, UR1052, Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
| | - Mathilde Causse
- INRA, UR1052, Génétique et Amélioration des Fruits et Légumes, Centre de Recherche PACA, Montfavet, France
- *Correspondence: Mathilde Causse
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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.). Front Plant Sci 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Gur A, Tzuri G, Meir A, Sa'ar U, Portnoy V, Katzir N, Schaffer AA, Li L, Burger J, Tadmor Y. Genome-Wide Linkage-Disequilibrium Mapping to the Candidate Gene Level in Melon (Cucumis melo). Sci Rep 2017; 7:9770. [PMID: 28852011 DOI: 10.1038/s41598-017-09987-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [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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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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Montero-Pau J, Blanca J, Esteras C, Martínez-Pérez EM, Gómez P, Monforte AJ, Cañizares J, Picó B. An SNP-based saturated genetic map and QTL analysis of fruit-related traits in Zucchini using Genotyping-by-sequencing. BMC Genomics 2017; 18:94. [PMID: 28100189 PMCID: PMC5241963 DOI: 10.1186/s12864-016-3439-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2016] [Accepted: 12/19/2016] [Indexed: 11/13/2022] Open
Abstract
Background Cucurbita pepo is a cucurbit with growing economic importance worldwide. Zucchini morphotype is the most important within this highly variable species. Recently, transcriptome and Simple Sequence Repeat (SSR)- and Single Nucleotide Polymorphism (SNP)-based medium density maps have been reported, however further genomic tools are needed for efficient molecular breeding in the species. Our objective is to combine currently available complete transcriptomes and the Zucchini genome sequence with high throughput genotyping methods, mapping population development and extensive phenotyping to facilitate the advance of genomic research in this species. Results We report the Genotyping-by-sequencing analysis of a RIL population developed from the inter subspecific cross Zucchini x Scallop (ssp. pepo x ssp. ovifera). Several thousands of SNP markers were identified and genotyped, followed by the construction of a high-density linkage map based on 7,718 SNPs (average of 386 markers/linkage group) covering 2,817.6 cM of the whole genome, which is a great improvement with respect to previous maps. A QTL analysis was performed using phenotypic data obtained from the RIL population from three environments. In total, 48 consistent QTLs for vine, flowering and fruit quality traits were detected on the basis of a multiple-environment analysis, distributed in 33 independent positions in 15 LGs, and each QTL explained 1.5–62.9% of the phenotypic variance. Eight major QTLs, which could explain greater than 20% of the phenotypic variation were detected and the underlying candidate genes identified. Conclusions Here we report the first SNP saturated map in the species, anchored to the physical map. Additionally, several consistent QTLs related to early flowering, fruit shape and length, and rind and flesh color are reported as well as candidate genes for them. This information will enhance molecular breeding in C. pepo and will assist the gene cloning underlying the studied QTLs, helping to reveal the genetic basis of the studied processes in squash. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3439-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Javier Montero-Pau
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
| | - José Blanca
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
| | - Cristina Esteras
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
| | - Eva Ma Martínez-Pérez
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
| | - Pedro Gómez
- Instituto de Investigación y Formación Agraria y Pesquera (IFAPA). Área de Mejora y Biotecnología de cultivos. Camino San Nicolás 1, 04745, La Mojonera, Almería, Spain
| | - Antonio J 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
| | - Joaquín Cañizares
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, 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.
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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). Bot Stud 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] [What about the content of this article? (0)] [Affiliation(s)] [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 Biol 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Li S, Pan Y, Wen C, Li Y, Liu X, Zhang X, Behera TK, Xing G, Weng Y. Integrated analysis in bi-parental and natural populations reveals CsCLAVATA3 (CsCLV3) underlying carpel number variations in cucumber. Theor Appl Genet 2016; 129:1007-22. [PMID: 26883041 DOI: 10.1007/s00122-016-2679-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2015] [Accepted: 01/23/2016] [Indexed: 05/26/2023]
Abstract
Carpel number variation in cucumber was controlled by a single gene, Cn . Linkage and association analysis revealed CsCLV3 as the candidate gene of the Cn locus. Carpel number (CN) is an important fruit quality trait of cucumber, but the genetic basis of CN variations is largely unknown. In the present study, segregating analysis in multiple bi-parental mapping populations (F2, F3, and RILs) derived from WI2757 (CN = 3) × True Lemon (CN = 5) suggested that CN is controlled by a simply inherited gene, Cn, with CN = 3 being incompletely dominant to CN = 5. Initial linkage mapping located Cn in a 1.9-Mb region of cucumber chromosome 1. Exploration of DNA sequence variations in this region with in silico bulked segregant analysis among eight re-sequenced lines allowed delimiting the Cn locus to a 16-kb region with five predicted genes including CsCLV3, a homolog of the Arabidopsis gene CLAVATA3. Fine genetic mapping in F2 and RIL populations and association analysis in natural populations confirmed CsCLV3 as the candidate gene for Cn, which was further evidenced from gene expression analysis and microscopic examination of floral meristem size in the two parent lines. This study highlights the importance of integrated use of linkage and association analysis as well as next-gen high-throughput sequencing in mapping and cloning genes that are difficult in accurate genotyping. The results provide new insights into the genetic control of CN variations in cucumber, which were discussed in the context of the well-characterized CLAVATA pathway for stem cell homeostasis and regulation of meristem sizes in plants. The associations of carpel number with fruit shape, size, and weight in cucumber and melon are also discussed.
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Affiliation(s)
- Sen Li
- Horticulture College, Shanxi Agricultural University, Taigu, 030801, China
- Horticulture Department, University of Wisconsin, Madison, WI, 53706, USA
| | - Yupeng Pan
- Horticulture Department, University of Wisconsin, Madison, WI, 53706, USA
- Horticulture College, Northwest A&F University, Yangling, 712100, China
| | - Changlong Wen
- Horticulture Department, University of Wisconsin, Madison, WI, 53706, USA
- Beijing Vegetable Research Center and National Engineering Research Center for Vegetables, Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China
| | - Yuhong Li
- Horticulture Department, University of Wisconsin, Madison, WI, 53706, USA
- Horticulture College, Northwest A&F University, Yangling, 712100, China
| | - Xiaofeng Liu
- Department of Vegetable Sciences, China Agricultural University, Beijing, 100193, China
| | - Xiaolan Zhang
- Department of Vegetable Sciences, China Agricultural University, Beijing, 100193, China
| | - Tusar K Behera
- Division of Vegetable Science, Indian Agricultural Research Institute, New Delhi, 10012, India
| | - Guoming Xing
- Horticulture College, Shanxi Agricultural University, Taigu, 030801, China
| | - Yiqun Weng
- Horticulture Department, University of Wisconsin, Madison, WI, 53706, USA.
- USDA-ARS, Vegetable Crops Research Unit, 1575 Linden Drive, Madison, WI, 53706, USA.
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Liu S, Gao P, Zhu Q, Luan F, Davis AR, Wang X. Development of cleaved amplified polymorphic sequence markers and a CAPS-based genetic linkage map in watermelon (Citrullus lanatus [Thunb.] Matsum. and Nakai) constructed using whole-genome re-sequencing data. Breed Sci 2016; 66:244-59. [PMID: 27162496 PMCID: PMC4785002 DOI: 10.1270/jsbbs.66.244] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2015] [Accepted: 11/26/2015] [Indexed: 05/06/2023]
Abstract
Cleaved amplified polymorphic sequence (CAPS) markers are useful tools for detecting single nucleotide polymorphisms (SNPs). This study detected and converted SNP sites into CAPS markers based on high-throughput re-sequencing data in watermelon, for linkage map construction and quantitative trait locus (QTL) analysis. Two inbred lines, Cream of Saskatchewan (COS) and LSW-177 had been re-sequenced and analyzed by Perl self-compiled script for CAPS marker development. 88.7% and 78.5% of the assembled sequences of the two parental materials could map to the reference watermelon genome, respectively. Comparative assembled genome data analysis provided 225,693 and 19,268 SNPs and indels between the two materials. 532 pairs of CAPS markers were designed with 16 restriction enzymes, among which 271 pairs of primers gave distinct bands of the expected length and polymorphic bands, via PCR and enzyme digestion, with a polymorphic rate of 50.94%. Using the new CAPS markers, an initial CAPS-based genetic linkage map was constructed with the F2 population, spanning 1836.51 cM with 11 linkage groups and 301 markers. 12 QTLs were detected related to fruit flesh color, length, width, shape index, and brix content. These newly CAPS markers will be a valuable resource for breeding programs and genetic studies of watermelon.
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Affiliation(s)
- Shi Liu
- Horticulture College, Northeast Agricultural University,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
| | - Peng Gao
- Horticulture College, Northeast Agricultural University,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
| | - Qianglong Zhu
- Horticulture College, Northeast Agricultural University,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
| | - Feishi Luan
- Horticulture College, Northeast Agricultural University,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
- Corresponding author (e-mail: )
| | - Angela R. Davis
- South Central Agricultural Research Laboratory, Agricultural Research Service, U.S. Department of Agriculture. Currently with HM. Clause,
9241 Mace Blvd, Davis, CA 95618,
USA
| | - Xiaolu Wang
- Horticulture College, Northeast Agricultural University,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture,
No. 59 Mucai Street Harbin, Heilongjiang Province, 150030,
China
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Gur A, Gonda I, Portnoy V, Tzuri G, Chayut N, Cohen S, Yeselson Y, Meir A, Bar E, Davidovitz-rikanati R, Saar U, Paris HS, Burger J, Tadmor Y, Lewinsohn E, Schaffer AA, Katzir N. Genomic Aspects of Melon Fruit Quality. Genetics and Genomics of Cucurbitaceae 2016. [DOI: 10.1007/7397_2016_29] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Saladié M, Cañizares J, Phillips MA, Rodriguez-Concepcion M, Larrigaudière C, Gibon Y, Stitt M, Lunn JE, Garcia-Mas J. Comparative transcriptional profiling analysis of developing melon (Cucumis melo L.) fruit from climacteric and non-climacteric varieties. BMC Genomics 2015; 16:440. [PMID: 26054931 PMCID: PMC4460886 DOI: 10.1186/s12864-015-1649-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 05/20/2015] [Indexed: 11/14/2022] Open
Abstract
Background In climacteric fruit-bearing species, the onset of fruit ripening is marked by a transient rise in respiration rate and autocatalytic ethylene production, followed by rapid deterioration in fruit quality. In non-climacteric species, there is no increase in respiration or ethylene production at the beginning or during fruit ripening. Melon is unusual in having climacteric and non-climacteric varieties, providing an interesting model system to compare both ripening types. Transcriptomic analysis of developing melon fruits from Védrantais and Dulce (climacteric) and Piel de sapo and PI 161375 (non-climacteric) varieties was performed to understand the molecular mechanisms that differentiate the two fruit ripening types. Results Fruits were harvested at 15, 25, 35 days after pollination and at fruit maturity. Transcript profiling was performed using an oligo-based microarray with 75 K probes. Genes linked to characteristic traits of fruit ripening were differentially expressed between climacteric and non-climacteric types, as well as several transcription factor genes and genes encoding enzymes involved in sucrose catabolism. The expression patterns of some genes in PI 161375 fruits were either intermediate between. Piel de sapo and the climacteric varieties, or more similar to the latter. PI 161375 fruits also accumulated some carotenoids, a characteristic trait of climacteric varieties. Conclusions Simultaneous changes in transcript abundance indicate that there is coordinated reprogramming of gene expression during fruit development and at the onset of ripening in both climacteric and non-climacteric fruits. The expression patterns of genes related to ethylene metabolism, carotenoid accumulation, cell wall integrity and transcriptional regulation varied between genotypes and was consistent with the differences in their fruit ripening characteristics. There were differences between climacteric and non-climacteric varieties in the expression of genes related to sugar metabolism suggesting that they may be potential determinants of sucrose content and post-harvest stability of sucrose levels in fruit. Several transcription factor genes were also identified that were differentially expressed in both types, implicating them in regulation of ripening behaviour. The intermediate nature of PI 161375 suggested that classification of melon fruit ripening behaviour into just two distinct types is an over-simplification, and that in reality there is a continuous spectrum of fruit ripening behaviour. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1649-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Montserrat Saladié
- IRTA, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Barcelona, 08193, Spain. .,Present address: School of Chemistry and Biochemistry, Biochemistry and Molecular Biology, The University of Western Australia, Crawley, WA, 6009, Australia.
| | - Joaquin Cañizares
- COMAV, Institute for the Conservation and Breeding of Agricultural Biodiversity, Universitat Politècnica de València (UPV), Camino de Vera s/n, Valencia, 46022, Spain.
| | - Michael A Phillips
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Barcelona, 08193, Spain.
| | - Manuel Rodriguez-Concepcion
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Barcelona, 08193, Spain.
| | - Christian Larrigaudière
- IRTA, Parc Científic i Tecnològic Agroalimentari, Parc de Gardeny, Edifici Fruitcentre, Lleida, 25003, Spain.
| | - Yves Gibon
- Max Planck Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, Potsdam, 14476, (OT) Golm, Germany. .,Present address: INRA Bordeaux, University of Bordeaux, UMR1332 Fruit Biology and Pathology, Villenave d'Ornon, F-33883, France.
| | - Mark Stitt
- Max Planck Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, Potsdam, 14476, (OT) Golm, Germany.
| | - John Edward Lunn
- Max Planck Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, Potsdam, 14476, (OT) Golm, Germany.
| | - Jordi Garcia-Mas
- IRTA, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Barcelona, 08193, Spain.
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Tzuri G, Zhou X, Chayut N, Yuan H, Portnoy V, Meir A, Sa'ar U, Baumkoler F, Mazourek M, Lewinsohn E, Fei Z, Schaffer AA, Li L, Burger J, Katzir N, Tadmor Y. A 'golden' SNP in CmOr governs the fruit flesh color of melon (Cucumis melo). Plant J 2015; 82:267-79. [PMID: 25754094 DOI: 10.1111/tpj.12814] [Citation(s) in RCA: 109] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2014] [Revised: 02/15/2015] [Accepted: 02/23/2015] [Indexed: 05/19/2023]
Abstract
The flesh color of Cucumis melo (melon) is genetically determined, and can be white, light green or orange, with β-carotene being the predominant pigment. We associated carotenoid accumulation in melon fruit flesh with polymorphism within CmOr, a homolog of the cauliflower BoOr gene, and identified CmOr as the previously described gf locus in melon. CmOr was found to co-segregate with fruit flesh color, and presented two haplotypes (alleles) in a broad germplasm collection, one being associated with orange flesh and the second being associated with either white or green flesh. Allelic variation of CmOr does not affect its transcription or protein level. The variation also does not affect its plastid subcellular localization. Among the identified single nucleotide polymorphisms (SNPs) between CmOr alleles in orange versus green/white-flesh fruit, a single SNP causes a change of an evolutionarily highly conserved arginine to histidine in the CmOr protein. Functional analysis of CmOr haplotypes in an Arabidopsis callus system confirmed the ability of the CmOr orange haplotype to induce β-carotene accumulation. Site-directed mutagenesis of the CmOr green/white haplotype to change the CmOR arginine to histidine triggered β-carotene accumulation. The identification of the 'golden' SNP in CmOr, which is responsible for the non-orange and orange melon fruit phenotypes, provides new tools for studying the Or mechanism of action, and suggests genome editing of the Or gene for nutritional biofortification of crops.
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Affiliation(s)
- Galil Tzuri
- Plant Science Institute, Israeli Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, Ramat Yishay, 30095, Israel
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Leida C, Moser C, Esteras C, Sulpice R, Lunn JE, de Langen F, Monforte AJ, Picó B. Variability of candidate genes, genetic structure and association with sugar accumulation and climacteric behavior in a broad germplasm collection of melon (Cucumis melo L.). BMC Genet 2015; 16:28. [PMID: 25886993 PMCID: PMC4380257 DOI: 10.1186/s12863-015-0183-2] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Accepted: 02/18/2015] [Indexed: 11/15/2022] Open
Abstract
Background A collection of 175 melon (Cucumis melo L.) accessions (including wild relatives, feral types, landraces, breeding lines and commercial cultivars) from 50 countries was selected to study the phenotypic variability for ripening behavior and sugar accumulation. The variability of single nucleotide polymorphisms (SNPs) at 53 selected candidate genes involved in sugar accumulation and fruit ripening processes was studied, as well as their association with phenotypic variation of related traits. Results The collection showed a strong genetic structure, defining seven groups plus a number of accessions that could not be associated to any of the groups (admixture), which fitted well with the botanical classification of melon varieties. The variability in candidate genes for ethylene, cell wall and sugar-related traits was high and similar to SNPs located in reference genes. Variability at ripening candidate genes had an important weight on the genetic stratification of melon germplasm, indicating that traditional farmers might have selected for ripening traits during cultivar diversification. A strong relationship was also found between the genetic structure and phenotypic diversity, which could hamper genetic association studies. Accessions belonging to the ameri group are the most appropriate for association analysis given the high phenotypic and molecular diversity within the group, and lack of genetic structure. The most remarkable association was found between sugar content and SNPs in LG III, where a hotspot of sugar content QTLs has previously been defined. By studying the differences in allelic variation of SNPs within horticultural groups with specific phenotypic features, we also detected differential variation in sugar-related candidates located in LGIX and LGX, and in ripening-related candidates located in LGII and X, all in regions with previously mapped QTLs for the corresponding traits. Conclusions In the current study we have found an important variability at both the phenotypic and candidate gene levels for ripening behavior and sugar accumulation in melon fruit. By combination of differences in allelic diversity and association analysis, we have identified several candidate genes that may be involved in the melon phenotypic diversity. Electronic supplementary material The online version of this article (doi:10.1186/s12863-015-0183-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Carmen Leida
- Research and Innovation Center, Department Genomics and Biology of Fruit Crops, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele, Italy.
| | - Claudio Moser
- Research and Innovation Center, Department Genomics and Biology of Fruit Crops, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele, Italy.
| | - Cristina Esteras
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain.
| | - Ronan Sulpice
- Max-Planck-Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, 14476, Potsdam, Germany. .,Plant Systems Biology Research Laboratory, Department of Botany and Plant Science, Plant and AgriBiosciences Research Centre, National University of Galway, University Road, Galway, Ireland.
| | - John E Lunn
- Max-Planck-Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, 14476, Potsdam, Germany.
| | - Frank de Langen
- HMCLAUSE (Business Unit of Limagrain), Station de Mas Saint Pierre, La Galine, 13210, Saint-Rémy-de-Provence, France.
| | - Antonio J 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.
| | - Belen Picó
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain.
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Argyris JM, Ruiz-Herrera A, Madriz-Masis P, Sanseverino W, Morata J, Pujol M, Ramos-Onsins SE, Garcia-Mas J. Use of targeted SNP selection for an improved anchoring of the melon (Cucumis melo L.) scaffold genome assembly. BMC Genomics 2015; 16:4. [PMID: 25612459 PMCID: PMC4316794 DOI: 10.1186/s12864-014-1196-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 12/22/2014] [Indexed: 01/01/2023] Open
Abstract
Background The genome of the melon (Cucumis melo L.) double-haploid line DHL92 was recently sequenced, with 87.5 and 80.8% of the scaffold assembly anchored and oriented to the 12 linkage groups, respectively. However, insufficient marker coverage and a lack of recombination left several large, gene rich scaffolds unanchored, and some anchored scaffolds unoriented. To improve the anchoring and orientation of the melon genome assembly, we used resequencing data between the parental lines of DHL92 to develop a new set of SNP markers from unanchored scaffolds. Results A high-resolution genetic map composed of 580 SNPs was used to anchor 354.8 Mb of sequence, contained in 141 scaffolds (average size 2.5 Mb) and corresponding to 98.2% of the scaffold assembly, to the 12 melon chromosomes. Over 325.4 Mb (90%) of the assembly was oriented. The genetic map revealed regions of segregation distortion favoring SC alleles as well as recombination suppression regions coinciding with putative centromere, 45S, and 5S rDNA sites. New chromosome-scale pseudomolecules were created by incorporating to the previous v3.5 version an additional 38.3 Mb of anchored sequence representing 1,837 predicted genes contained in 55 scaffolds. Using fluorescent in situ hybridization (FISH) with BACs that produced chromosome-specific signals, melon chromosomes that correspond to the twelve linkage groups were identified, and a standardized karyotype of melon inbred line T111 was developed. Conclusions By utilizing resequencing data and targeted SNP selection combined with a large F2 mapping population, we significantly improved the quantity of anchored and oriented melon scaffold genome assembly. Using genome information combined with FISH mapping provided the first cytogenetic map of an inodorus melon type. With these results it was possible to make inferences on melon chromosome structure by relating zones of recombination suppression to centromeres and 45S and 5S heterochromatic regions. This study represents the first steps towards the integration of the high-resolution genetic and cytogenetic maps with the genomic sequence in melon that will provide more information on genome organization and allow for the improvement of the melon genome draft sequence. Electronic supplementary material The online version of this article (doi:10.1186/s12864-014-1196-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jason M Argyris
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, 08193, Barcelona, Spain.
| | - Aurora Ruiz-Herrera
- Departament de Biologia Cellular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Campus UAB, 08193, Barcelona, Spain. .,Institut de Biotecnologia i Biomedicina (IBB), Universitat Autònoma de Barcelona, Campus UAB, 08193, Barcelona, Spain.
| | - Pablo Madriz-Masis
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, 08193, Barcelona, Spain.
| | - Walter Sanseverino
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, 08193, Barcelona, Spain. .,Present Address: Sequentia Biotech, Campus UAB - Edifici CRAG, Bellaterra - Cerdanyola del Vallès, 08193, Barcelona, Spain.
| | - Jordi Morata
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, 08193, Barcelona, Spain.
| | - Marta Pujol
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, 08193, Barcelona, Spain.
| | | | - Jordi Garcia-Mas
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, 08193, Barcelona, Spain.
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Díaz A, Zarouri B, Fergany M, Eduardo I, Álvarez JM, Picó B, Monforte AJ. Mapping and introgression of QTL involved in fruit shape transgressive segregation into ‘piel de sapo’ melon (cucumis melo l.) [corrected]. PLoS One 2014; 9:e104188. [PMID: 25126852 PMCID: PMC4134209 DOI: 10.1371/journal.pone.0104188] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2014] [Accepted: 07/10/2014] [Indexed: 11/19/2022] Open
Abstract
A mapping F2 population from the cross ‘Piel de Sapo’ × PI124112 was selectively genotyped to study the genetic control of morphological fruit traits by QTL (Quantitative Trait Loci) analysis. Ten QTL were identified, five for FL (Fruit Length), two for FD (Fruit Diameter) and three for FS (Fruit Shape). At least one robust QTL per character was found, flqs8.1 (LOD = 16.85, R2 = 34%), fdqs12.1 (LOD = 3.47, R2 = 11%) and fsqs8.1 (LOD = 14.85, R2 = 41%). flqs2.1 and fsqs2.1 cosegregate with gene a (andromonoecious), responsible for flower sex determination and with pleiotropic effects on FS. They display a positive additive effect (a) value, so the PI124112 allele causes an increase in FL and FS, producing more elongated fruits. Conversely, the negative a value for flqs8.1 and fsqs8.1 indicates a decrease in FL and FS, what results in rounder fruits, even if PI124112 produces very elongated melons. This is explained by a significant epistatic interaction between fsqs2.1 and fsqs8.1, where the effects of the alleles at locus a are attenuated by the additive PI124112 allele at fsqs8.1. Roundest fruits are produced by homozygous for PI124112 at fsqs8.1 that do not carry any dominant A allele at locus a (PiPiaa). A significant interaction between fsqs8.1 and fsqs12.1 was also detected, with the alleles at fsqs12.1 producing more elongated fruits. fsqs8.1 seems to be allelic to QTL discovered in other populations where the exotic alleles produce elongated fruits. This model has been validated in assays with backcross lines along 3 years and ultimately obtaining a fsqs8.1-NIL (Near Isogenic Line) in ‘Piel de Sapo’ background which yields round melons.
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Affiliation(s)
- Aurora Díaz
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Valencia, Spain
- * E-mail: (AD); (AJM)
| | - Belkacem Zarouri
- Laboratorio de Biología Molecular. Dpto. Investigación Agroalimentaria. Instituto Madrileño de Investigación y Desarrollo Rural, Agrario y Alimentario (IMIDRA), Alcalá de Henares, Madrid, Spain
| | - Mohamed Fergany
- Centre de Recerca en Agrigenòmica (CRAG), IRTA-CSIC-UAB, Bellaterra, Cerdanyola del Vallès, Barcelona, Spain
| | - Iban Eduardo
- Centre de Recerca en Agrigenòmica (CRAG), IRTA-CSIC-UAB, Bellaterra, Cerdanyola del Vallès, Barcelona, Spain
| | - José M. Álvarez
- Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Zaragoza, Spain
| | - Belén Picó
- COMAV-UPV, Institute for the Conservation and Breeding of Agricultural Biodiversity, Universitad Politécnica de Valencia, Valencia, Spain
| | - Antonio J. Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Valencia, Spain
- * E-mail: (AD); (AJM)
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Monforte AJ, Diaz A, Caño-Delgado A, van der Knaap E. The genetic basis of fruit morphology in horticultural crops: lessons from tomato and melon. J Exp Bot 2014; 65:4625-37. [PMID: 24520021 DOI: 10.1093/jxb/eru017] [Citation(s) in RCA: 115] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Fruits represent an important part of the human diet and show extensive variation in size and shape between and within cultivated species. The genetic basis of such variation has been studied most extensively in tomato, where currently six quantitative trait loci (QTLs) involving these traits have been fine-mapped and the genes underlying the QTLs identified. The genes responsible for the cloned QTLs belong to families with a few to many members. FASCIATED is encoded by a member of the YABBY family, CNR/FW2.2 by a member of the Cell Number Regulator family, SlKLUH/FW3.2 by a cytochrome P450 of the 78A class (CYP78A), LOCULE NUMBER by a member of the WOX family including WUSCHEL, OVATE by a member of the Ovate Family Proteins (OFP), and SUN by a member of the IQ domain family. A high portion of the history and current diversity in fruit morphology among tomato cultivars can be explained by modifications at four of these cloned QTLs. In melon, a number of QTLs involved in fruit morphology have been mapped, but the molecular basis for these QTLs is unknown. In the present review, we examine the current knowledge on the molecular basis of fruit morphology in tomato and transfer that information in order to define candidate genes of melon fruit shape and size QTLs. We hypothesize that different members of the gene families identified in tomato may have a role in the regulation of fruit morphology in other species. We anchored the published melon QTL map on the genome sequence and identified the melon family members of the six cloned tomato QTLs in the genome. We investigated the co-localization of melon fruit morphology QTLs and the candidate genes. We found that QTLs for fruit weight co-localized frequently with members of the CNR/FW2.2 and KLUH/FW3.2 families, as well as co-localizations between OFP family members and fruit-shape QTLs, making this family the most suitable to explain fruit shape variation among melon accessions.
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Affiliation(s)
- Antonio J Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Ciudad Politécnica de la Innovación (CPI), Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
| | - Aurora Diaz
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Ciudad Politécnica de la Innovación (CPI), Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
| | - Ana Caño-Delgado
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Bellaterra (Barcelona), Spain
| | - Esther van der Knaap
- Department of Horticulture and Crop Science, The Ohio State University/OARDC, 1680 Madison Avenue, Wooster, OH-44691, USA
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Delgado-Goñi T, Campo S, Martín-Sitjar J, Cabañas ME, San Segundo B, Arús C. Assessment of a 1H high-resolution magic angle spinning NMR spectroscopy procedure for free sugars quantification in intact plant tissue. Planta 2013; 238:397-413. [PMID: 23824526 DOI: 10.1007/s00425-013-1924-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2013] [Accepted: 06/14/2013] [Indexed: 06/02/2023]
Abstract
In most plants, sucrose is the primary product of photosynthesis, the transport form of assimilated carbon, and also one of the main factors determining sweetness in fresh fruits. Traditional methods for sugar quantification (mainly sucrose, glucose and fructose) require obtaining crude plant extracts, which sometimes involve substantial sample manipulation, making the process time-consuming and increasing the risk of sample degradation. Here, we describe and validate a fast method to determine sugar content in intact plant tissue by using high-resolution magic angle spinning nuclear magnetic resonance spectroscopy (HR-MAS NMR). The HR-MAS NMR method was used for quantifying sucrose, glucose and fructose in mesocarp tissues from melon fruits (Cucumis melo var. reticulatus and Cucumis melo var. cantalupensis). The resulting sugar content varied among individual melons, ranging from 1.4 to 7.3 g of sucrose, 0.4-2.5 g of glucose; and 0.73-2.83 g of fructose (values per 100 g fw). These values were in agreement with those described in the literature for melon fruit tissue, and no significant differences were found when comparing them with those obtained using the traditional, enzymatic procedure, on melon tissue extracts. The HR-MAS NMR method offers a fast (usually <30 min) and sensitive method for sugar quantification in intact plant tissues, it requires a small amount of tissue (typically 50 mg fw) and avoids the interferences and risks associated with obtaining plant extracts. Furthermore, this method might also allow the quantification of additional metabolites detectable in the plant tissue NMR spectrum.
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Affiliation(s)
- Teresa Delgado-Goñi
- Unitat de Biociències, Dept. Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
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Vegas J, Garcia-Mas J, Monforte AJ. Interaction between QTLs induces an advance in ethylene biosynthesis during melon fruit ripening. Theor Appl Genet 2013; 126:1531-44. [PMID: 23443139 DOI: 10.1007/s00122-013-2071-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2012] [Accepted: 02/12/2013] [Indexed: 05/03/2023]
Abstract
The coexistence of both climacteric and non-climacteric genotypes and the availability of a set of genetic and genomic resources make melon a suitable model for genetic studies of fruit ripening. We have previously described a QTL, ETHQB3.5, which induces climacteric fruit ripening in the near-isogenic line (NIL) SC3-5 that harbors an introgression on linkage group (LG) III from the non-climacteric melon accession PI 161375 in the, also non-climacteric cultivar, "Piel de Sapo" genetic background. In the current study, a new major QTL, ETHQV6.3, on LG VI was detected on an additional introgression in the same NIL. These QTLs are capable, individually, of inducing climacteric ripening in the non-climacteric background, the effects of ETHQV6.3 being greater than that of ETHQB3.5. The QTLs interact epistatically, advancing the timing of ethylene biosynthesis during ripening and, therefore, the climacteric responses. ETHQV6.3 was fine-mapped to a 4.5 Mb physical region of the melon genome, probably in the centromeric region of LG VI. The results presented will be of value in the molecular identification of the gene underlying ETHQV6.3.
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Affiliation(s)
- Juan Vegas
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Bellaterra, Barcelona, Spain
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Zhang H, Miao H, Wei L, Li C, Zhao R, Wang C. Genetic analysis and QTL mapping of seed coat color in sesame (Sesamum indicum L.). PLoS One 2013; 8:e63898. [PMID: 23704951 PMCID: PMC3660586 DOI: 10.1371/journal.pone.0063898] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2012] [Accepted: 04/09/2013] [Indexed: 11/19/2022] Open
Abstract
Seed coat color is an important agronomic trait in sesame, as it is associated with seed biochemical properties, antioxidant content and activity and even disease resistance of sesame. Here, using a high-density linkage map, we analyzed genetic segregation and quantitative trait loci (QTL) for sesame seed coat color in six generations (P1, P2, F1, BC1, BC2 and F2). Results showed that two major genes with additive-dominant-epistatic effects and polygenes with additive-dominant-epistatic effects were responsible for controlling the seed coat color trait. Average heritability of the major genes in the BC1, BC2 and F2 populations was 89.30%, 24.00%, and 91.11% respectively, while the heritability of polygenes was low in the BC1 (5.43%), in BC2 (0.00%) and in F2 (0.89%) populations. A high-density map was constructed using 724 polymorphic markers. 653 SSR, AFLP and RSAMPL loci were anchored in 14 linkage groups (LG) spanning a total of 1,216.00 cM. The average length of each LG was 86.86 cM and the marker density was 1.86 cM per marker interval. Four QTLs for seed coat color, QTL1-1, QTL11-1, QTL11-2 and QTL13-1, whose heritability ranged from 59.33%-69.89%, were detected in F3 populations using CIM and MCIM methods. Alleles at all QTLs from the black-seeded parent tended to increase the seed coat color. Results from QTLs mapping and classical genetic analysis among the P1, P2, F1, BC1, BC2 and F2 populations were comparatively consistent. This first QTL analysis and high-density genetic linkage map for sesame provided a good foundation for further research on sesame genetics and molecular marker-assisted selection (MAS).
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Affiliation(s)
- Haiyang Zhang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China.
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Sandlin K, Prothro J, Heesacker A, Khalilian N, Okashah R, Xiang W, Bachlava E, Caldwell DG, Taylor CA, Seymour DK, White V, Chan E, Tolla G, White C, Safran D, Graham E, Knapp S, McGregor C. Comparative mapping in watermelon [Citrullus lanatus (Thunb.) Matsum. et Nakai]. Theor Appl Genet 2012; 125:1603-1618. [PMID: 22875176 DOI: 10.1007/s00122-012-1938-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2012] [Accepted: 07/03/2012] [Indexed: 05/28/2023]
Abstract
The first single-nucleotide polymorphism (SNP) maps for watermelon [Citrullus lanatus (Thunb.) Matsum. et Nakai] were constructed and compared. Three populations were developed from crosses between two elite cultivars, Klondike Black Seeded × New Hampshire Midget (KBS × NHM), an elite cultivar and wild egusi accession, Strain II × PI 560023 (SII × Egusi) and an elite cultivar and a wild citron accession, ZWRM50 × PI 244019 (ZWRM × Citroides). The SII × Egusi and ZWRM × Citroides F(2) populations consisted of 187 and 182 individuals respectively while the KBS × NHM recombinant inbred line (RIL) population consisted of 164 lines. The length of the genetic maps were 1,438, 1,514 and 1,144 cM with average marker distances of 3.8, 4.2, and 3.4 cM for the KBS × NHM, SII × Egusi and ZWRM × Citroides populations, respectively. Shared markers were used to align the three maps so that the linkage groups (LGs) represented the 11 chromosomes of the species. Marker segregation distortion were observed in all three populations, but was highest (12.7 %) in the ZWRM × Citroides population, where Citroides alleles were favored. The three maps were used to construct a consensus map containing 378 SNP markers with an average distance of 5.1 cM between markers. Phenotypic data was collected for fruit weight (FWT), fruit length (FL), fruit width (FWD), fruit shape index (FSI), rind thickness (RTH) and Brix (BRX) and analyzed for quantitative trait loci (QTL) associated with these traits. A total of 40 QTL were identified in the three populations, including major QTL for fruit size and shape that were stable across genetic backgrounds and environments. The present study reports the first SNP maps for Citrullus and the first map constructed using two elite parents. We also report the first stable QTL associated with fruit size and shape in Citrullus lanatus. These maps, QTL and SNPs should be useful for the watermelon community and represent a significant step towards the potential use of molecular tools in watermelon breeding.
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Affiliation(s)
- Katherine Sandlin
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA 30602, USA
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Lerceteau-Köhler E, Moing A, Guérin G, Renaud C, Petit A, Rothan C, Denoyes B. Genetic dissection of fruit quality traits in the octoploid cultivated strawberry highlights the role of homoeo-QTL in their control. Theor Appl Genet 2012; 124:1059-77. [PMID: 22215248 PMCID: PMC3304055 DOI: 10.1007/s00122-011-1769-3] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2011] [Accepted: 12/08/2011] [Indexed: 05/18/2023]
Abstract
Fruit quality traits are major breeding targets in the Rosaceae. Several of the major Rosaceae species are current or ancient polyploids. To dissect the inheritance of fruit quality traits in polyploid fleshy fruit species, we used a cultivated strawberry segregating population comprising a 213 full-sibling F1 progeny from a cross between the variety 'Capitola' and the genotype 'CF1116'. We previously developed the most comprehensive strawberry linkage map, which displays seven homoeology groups (HG), including each four homoeology linkage groups (Genetics 179:2045-2060, 2008). The map was used to identify quantitative trait loci (QTL) for 19 fruit traits related to fruit development, texture, colour, anthocyanin, sugar and organic acid contents. Analyses were carried out over two or three successive years on field-grown plants. QTL were detected for all the analysed traits. Because strawberry is an octopolyploid species, QTL controlling a given trait and located at orthologous positions on different homoeologous linkage groups within one HG are considered as homoeo-QTL. We found that, for various traits, about one-fourth of QTL were putative homoeo-QTL and were localised on two linkage groups. Several homoeo-QTL could be detected the same year, suggesting that several copies of the gene underlying the QTL are functional. The detection of some other homoeo-QTL was year-dependent. Therefore, changes in allelic expression could take place in response to environmental changes. We believe that, in strawberry as in other polyploid fruit species, the mechanisms unravelled in the present study may play a crucial role in the variations of fruit quality.
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Affiliation(s)
- E. Lerceteau-Köhler
- Ciref, Maison Jeannette, 24140 Douville, France
- Present Address: Department of Plant Biology and Forest Genetics, Uppsala BioCenter, Swedish University of Agricultural Sciences, Box 7080, 750 07 Uppsala, Sweden
| | - A. Moing
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
| | - G. Guérin
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
| | - C. Renaud
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
| | - A. Petit
- Ciref, Maison Jeannette, 24140 Douville, France
| | - C. Rothan
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
| | - Béatrice Denoyes
- UMR 1332 Biologie du Fruit et Pathologie, INRA, 33140 Villenave d’Ornon, France
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Wang XL, Gao XW, Li G, Wang HL, Geng SD, Kang F, Nie XX. [Construction of a melon genetic map with fruit and seed QTLs]. Yi Chuan 2011; 33:1398-1408. [PMID: 22207387 DOI: 10.3724/sp.j.1005.2011.01398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
A genetic map of melon was constructed using 143 F2 population developed from a cross between two distant lines Ano2 of Japan and Hami melon K413. The map contains 12 linkage groups and 142 markers, including 121 AFLPs, 16 SSRs, 3 STSs, 2 trait markers and covers 1 014.2 cM. Composite interval mapping (CIM) method was used to detect QTLs involved in melon fruit and seed traits: fruit length (FL), fruit width (FW), fruit shape (length/width, FS), centre sugar (CS), edge sugar (ES), flesh texture (FT), seed length (SL), seed width (SW), seed shape (SS), and seed weight (SW). The result showed that Flesh was located between AFLP markers NDAA and NCFA on C9. A total of 25 QTLs were detected for other traits and some QTLs were co-located with each other. The QTLs Sl5.1, Sw5.1, and Swt5.1 located on linkage C5 between NCA and N73C explained a significant portion of associated phenotypic variation (R2=17%, 19%, 23%). The allele from Ano2 obviously suppressed the length, width, and weight of melon seed; the QTLs between N73A and NFDA on C8 were involved in seed width, shape, and weight; the QTL Fs8.1 on C8 was detected using both F2 and F3 fruit data and explained a significant portion of phenotypic variation 25% and 19%. Fs8.1 showed partly dominant, and the allele from Ano2 sup-pressed elongation of fruit to form round melon. The QTLs related to centre sugar, edge sugar, and fruit texture were also detected in this research.
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Affiliation(s)
- Xian-Lei Wang
- Life Science and Technology Department, Xinjiang University, Urumchi, China.
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Li D, Cuevas HE, Yang L, Li Y, Garcia-Mas J, Zalapa J, Staub JE, Luan F, Reddy U, He X, Gong Z, Weng Y. Syntenic relationships between cucumber (Cucumis sativus L.) and melon (C. melo L.) chromosomes as revealed by comparative genetic mapping. BMC Genomics 2011; 12:396. [PMID: 21816110 PMCID: PMC3199783 DOI: 10.1186/1471-2164-12-396] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2011] [Accepted: 08/05/2011] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Cucumber, Cucumis sativus L. (2n = 2 × = 14) and melon, C. melo L. (2n = 2 × = 24) are two important vegetable species in the genus Cucumis (family Cucurbitaceae). Both species have an Asian origin that diverged approximately nine million years ago. Cucumber is believed to have evolved from melon through chromosome fusion, but the details of this process are largely unknown. In this study, comparative genetic mapping between cucumber and melon was conducted to examine syntenic relationships of their chromosomes. RESULTS Using two melon mapping populations, 154 and 127 cucumber SSR markers were added onto previously reported F(2)- and RIL-based genetic maps, respectively. A consensus melon linkage map was developed through map integration, which contained 401 co-dominant markers in 12 linkage groups including 199 markers derived from the cucumber genome. Syntenic relationships between melon and cucumber chromosomes were inferred based on associations between markers on the consensus melon map and cucumber draft genome scaffolds. It was determined that cucumber Chromosome 7 was syntenic to melon Chromosome I. Cucumber Chromosomes 2 and 6 each contained genomic regions that were syntenic with melon chromosomes III+V+XI and III+VIII+XI, respectively. Likewise, cucumber Chromosomes 1, 3, 4, and 5 each was syntenic with genomic regions of two melon chromosomes previously designated as II+XII, IV+VI, VII+VIII, and IX+X, respectively. However, the marker orders in several syntenic blocks on these consensus linkage maps were not co-linear suggesting that more complicated structural changes beyond simple chromosome fusion events have occurred during the evolution of cucumber. CONCLUSIONS Comparative mapping conducted herein supported the hypothesis that cucumber chromosomes may be the result of chromosome fusion from a 24-chromosome progenitor species. Except for a possible inversion, cucumber Chromosome 7 has largely remained intact in the past nine million years since its divergence from melon. Meanwhile, many structural changes may have occurred during the evolution of the remaining six cucumber chromosomes. Further characterization of the genomic nature of Cucumis species closely related to cucumber and melon might provide a better understanding of the evolutionary history leading to modern cucumber.
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Affiliation(s)
- Dawei Li
- Horticulture College, Northwest A & F University, Yangling 712100, China
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
| | - Hugo E Cuevas
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
- USDA ARS Tropical Agriculture Research Station, Mayaguez, P.R. 00680, Puerto Rico
| | - Luming Yang
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
| | - Yuhong Li
- Horticulture College, Northwest A & F University, Yangling 712100, China
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
| | - Jordi Garcia-Mas
- IRTA, Center for Research in Agricultural Genomics CSIC-IRTA-UAB, Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
| | - Juan Zalapa
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
- USDA ARS Vegetable Crops Research Unit, Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
| | - Jack E Staub
- USDA-ARS, Forage & Range Research Laboratory, Utah State University, Logan, UT 84322 USA
| | - Feishi Luan
- Horticulture College, Northeast Agricultural University, Harbin, 150030, China
| | - Umesh Reddy
- Department of Biology, West Virginia State University Institute, WV 25112, USA
| | - Xiaoming He
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Zhenhui Gong
- Horticulture College, Northwest A & F University, Yangling 712100, China
| | - Yiqun Weng
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
- USDA ARS Vegetable Crops Research Unit, Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
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50
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Diaz A, Fergany M, Formisano G, Ziarsolo P, Blanca J, Fei Z, Staub JE, Zalapa JE, Cuevas HE, Dace G, Oliver M, Boissot N, Dogimont C, Pitrat M, Hofstede R, van Koert P, Harel-Beja R, Tzuri G, Portnoy V, Cohen S, Schaffer A, Katzir N, Xu Y, Zhang H, Fukino N, Matsumoto S, Garcia-Mas J, Monforte AJ. A consensus linkage map for molecular markers and quantitative trait loci associated with economically important traits in melon (Cucumis melo L.). BMC Plant Biol 2011; 11:111. [PMID: 21797998 PMCID: PMC3163537 DOI: 10.1186/1471-2229-11-111] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2011] [Accepted: 07/28/2011] [Indexed: 05/18/2023]
Abstract
BACKGROUND A number of molecular marker linkage maps have been developed for melon (Cucumis melo L.) over the last two decades. However, these maps were constructed using different marker sets, thus, making comparative analysis among maps difficult. In order to solve this problem, a consensus genetic map in melon was constructed using primarily highly transferable anchor markers that have broad potential use for mapping, synteny, and comparative quantitative trait loci (QTL) analysis, increasing breeding effectiveness and efficiency via marker-assisted selection (MAS). RESULTS Under the framework of the International Cucurbit Genomics Initiative (ICuGI, http://www.icugi.org), an integrated genetic map has been constructed by merging data from eight independent mapping experiments using a genetically diverse array of parental lines. The consensus map spans 1150 cM across the 12 melon linkage groups and is composed of 1592 markers (640 SSRs, 330 SNPs, 252 AFLPs, 239 RFLPs, 89 RAPDs, 15 IMAs, 16 indels and 11 morphological traits) with a mean marker density of 0.72 cM/marker. One hundred and ninety-six of these markers (157 SSRs, 32 SNPs, 6 indels and 1 RAPD) were newly developed, mapped or provided by industry representatives as released markers, including 27 SNPs and 5 indels from genes involved in the organic acid metabolism and transport, and 58 EST-SSRs. Additionally, 85 of 822 SSR markers contributed by Syngenta Seeds were included in the integrated map. In addition, 370 QTL controlling 62 traits from 18 previously reported mapping experiments using genetically diverse parental genotypes were also integrated into the consensus map. Some QTL associated with economically important traits detected in separate studies mapped to similar genomic positions. For example, independently identified QTL controlling fruit shape were mapped on similar genomic positions, suggesting that such QTL are possibly responsible for the phenotypic variability observed for this trait in a broad array of melon germplasm. CONCLUSIONS Even though relatively unsaturated genetic maps in a diverse set of melon market types have been published, the integrated saturated map presented herein should be considered the initial reference map for melon. Most of the mapped markers contained in the reference map are polymorphic in diverse collection of germplasm, and thus are potentially transferrable to a broad array of genetic experimentation (e.g., integration of physical and genetic maps, colinearity analysis, map-based gene cloning, epistasis dissection, and marker-assisted selection).
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Affiliation(s)
- Aurora Diaz
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC). Ciudad Politécnica de la Innovación (CPI), Ed. 8E. C/Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
| | - Mohamed Fergany
- IRTA, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB), Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
- Agronomy Department Faculty of Agriculture, Ain Shams University, Cairo, Egypt
| | - Gelsomina Formisano
- Department of Soil, Plant, Environmental and Animal Production Sciences, Federico II University of Naples, Via Università 100, 80055 Portici, Italy
| | - Peio Ziarsolo
- COMAV-UPV, Institute for the Conservation and Breeding of Agricultural Biodiversity, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
| | - José Blanca
- COMAV-UPV, Institute for the Conservation and Breeding of Agricultural Biodiversity, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
| | - Zhanjun Fei
- Boyce Thompson Institute for Plant Research, Ithaca, New York 14853, USA
| | - Jack E Staub
- USDA-ARS, Vegetable Crops Research Unit, Department of Horticulture, 1575 Linden Dr, University of Wisconsin, Madison, WI 53706, USA
- Current address: USDA-ARS, Forage and Range Research Laboratory, Utah State University, Logan, UT 84322-6300, USA
| | - Juan E Zalapa
- USDA-ARS, Vegetable Crops Research Unit, Department of Horticulture, 1575 Linden Dr, University of Wisconsin, Madison, WI 53706, USA
| | - Hugo E Cuevas
- USDA-ARS, Vegetable Crops Research Unit, Department of Horticulture, 1575 Linden Dr, University of Wisconsin, Madison, WI 53706, USA
- Current address: USDA-ARS, Tropical Agricultural Research Station, 2200 Pedro Albizu Campus Ave, Mayaguez 00680-5470, Puerto Rico
| | - Gayle Dace
- Syngenta Biotechnology, Inc. Research Triangle Park, NC 27709, USA
| | - Marc Oliver
- Syngenta Seeds, 12 chemin de l'Hobit, F-31790 Saint-Sauveur, France
| | - Nathalie Boissot
- INRA, UR 1052, Unité de Génétique et d'Amélioration des Fruits et Légumes, Domaine St Maurice, BP 94, 84143 Montfavet Cedex, France
| | - Catherine Dogimont
- INRA, UR 1052, Unité de Génétique et d'Amélioration des Fruits et Légumes, Domaine St Maurice, BP 94, 84143 Montfavet Cedex, France
| | - Michel Pitrat
- INRA, UR 1052, Unité de Génétique et d'Amélioration des Fruits et Légumes, Domaine St Maurice, BP 94, 84143 Montfavet Cedex, France
| | - René Hofstede
- Keygene N.V. P.O. Box 216. 6700 AE Wageningen. The Netherlands
| | - Paul van Koert
- Keygene N.V. P.O. Box 216. 6700 AE Wageningen. The Netherlands
| | - Rotem Harel-Beja
- Institute of Plant Science, Agricultural Research Organization (ARO), Newe Ya'ar Research Center, Ramat Yishay 30095, Israel
| | - Galil Tzuri
- Institute of Plant Science, Agricultural Research Organization (ARO), Newe Ya'ar Research Center, Ramat Yishay 30095, Israel
| | - Vitaly Portnoy
- Institute of Plant Science, Agricultural Research Organization (ARO), Newe Ya'ar Research Center, Ramat Yishay 30095, Israel
| | - Shahar Cohen
- Institute of Plant Science, Agricultural Research Organization, Volcani Research Center, Bet Dagan 50250, Israel
| | - Arthur Schaffer
- Institute of Plant Science, Agricultural Research Organization, Volcani Research Center, Bet Dagan 50250, Israel
| | - Nurit Katzir
- Institute of Plant Science, Agricultural Research Organization (ARO), Newe Ya'ar Research Center, Ramat Yishay 30095, Israel
| | - Yong Xu
- National Engineering Research Center for Vegetables (NERCV), Beijing Academy Agricultural and Forestry Science, Beijing 100097, China
| | - Haiying Zhang
- National Engineering Research Center for Vegetables (NERCV), Beijing Academy Agricultural and Forestry Science, Beijing 100097, China
| | - Nobuko Fukino
- National Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Satoru Matsumoto
- National Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Jordi Garcia-Mas
- IRTA, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB), Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
| | - Antonio J Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC). Ciudad Politécnica de la Innovación (CPI), Ed. 8E. C/Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
- IRTA, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB), Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
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