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Gaccione L, Martina M, Barchi L, Portis E. A Compendium for Novel Marker-Based Breeding Strategies in Eggplant. PLANTS (BASEL, SWITZERLAND) 2023; 12:1016. [PMID: 36903876 PMCID: PMC10005326 DOI: 10.3390/plants12051016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/06/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
The worldwide production of eggplant is estimated at about 58 Mt, with China, India and Egypt being the major producing countries. Breeding efforts in the species have mainly focused on increasing productivity, abiotic and biotic tolerance/resistance, shelf-life, the content of health-promoting metabolites in the fruit rather than decreasing the content of anti-nutritional compounds in the fruit. From the literature, we collected information on mapping quantitative trait loci (QTLs) affecting eggplant's traits following a biparental or multi-parent approach as well as genome-wide association (GWA) studies. The positions of QTLs were lifted according to the eggplant reference line (v4.1) and more than 700 QTLs were identified, here organized into 180 quantitative genomic regions (QGRs). Our findings thus provide a tool to: (i) determine the best donor genotypes for specific traits; (ii) narrow down QTL regions affecting a trait by combining information from different populations; (iii) pinpoint potential candidate genes.
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2
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You Q, Li H, Wu J, Li T, Wang Y, Sun G, Li Z, Sun B. Mapping and validation of the epistatic D and P genes controlling anthocyanin biosynthesis in the peel of eggplant ( Solanum melongena L.) fruit. HORTICULTURE RESEARCH 2023; 10:uhac268. [PMID: 36789254 PMCID: PMC9923212 DOI: 10.1093/hr/uhac268] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 11/27/2022] [Indexed: 06/18/2023]
Abstract
Fruit color is an important trait influencing the commercial value of eggplant fruits. Three dominant genes (D, P and Y) cooperatively control the anthocyanin coloration in eggplant fruits, but none has been mapped. In this study, two white-fruit accessions (19 141 and 19 147) and their F2 progeny, with 9:7 segregation ratio of anthocyanin pigmented versus non-pigmented fruits, were used for mapping the D and P genes. A high-density genetic map was constructed with 5270 SNPs spanning 1997.98 cM. Three QTLs were identified, including two genes on chromosome 8 and one on chromosome 10. Gene expression analyses suggested that the SmANS on chromosome 8 and SmMYB1 on chromosome 10 were the putative candidate genes for P and D, respectively. We further identified (1) a SNP leading to a premature stop codon within the conserved PLN03176 domain of SmANS in 19 141, (2) a G base InDel in the promoter region leading to an additional cis-regulatory element and (3) a 6-bp InDel within the R2-MYB DNA binding domain of SmMYB1, in 19 147. Subsequently, these three variations were validated by PARMS technology as related to phenotypes in the F2 population. Moreover, silencing of SmANS or SmMYB1 in the purple red fruits of F1 (E3316) led to inhibition of anthocyanin biosynthesis in the peels. Conversely, overexpression of SmANS or SmMYB1 restored anthocyanin biosynthesis in the calli of 19 141 and 19 147 respectively. Our findings demonstrated the epistatic interactions underlying the white color of eggplant fruits, which can be potentially applied to breeding of eggplant fruit peel color.
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Affiliation(s)
| | | | | | - Tao Li
- Guangdong Key Laboratory for New Technology Research of Vegetables, Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510640, China
| | - Yikui Wang
- Institute of Vegetable, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi 530007, China
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3
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Guan W, Ke C, Tang W, Jiang J, Xia J, Xie X, Yang M, Duan C, Wu W, Zheng Y. Construction of a High-Density Recombination Bin-Based Genetic Map Facilitates High-Resolution Mapping of a Major QTL Underlying Anthocyanin Pigmentation in Eggplant. Int J Mol Sci 2022; 23:ijms231810258. [PMID: 36142175 PMCID: PMC9499331 DOI: 10.3390/ijms231810258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/31/2022] [Accepted: 09/03/2022] [Indexed: 02/08/2023] Open
Abstract
High-density genetic maps can significantly improve the resolution of QTL mapping. We constructed a high-density recombination bin-based genetic map of eggplant based on 200 F2 plants from an interspecific cross (Solanum melongena × S. incanum) using the whole genome resequencing strategy. The map was 2022.8 cM long, covering near 99% of the eggplant genome. The map contained 3776 bins, with 3644 (96.5%) being effective (position non-redundant) ones, giving a nominal average distance of 0.54 cM and an effective average distance of 0.56 cM between adjacent bins, respectively. Using this map and 172 F2:3 lines, a major QTL with pleiotropic effects on two anthocyanin pigmentation-related traits, leaf vein color (LVC) and fruit pericarp color (FPC), was steadily detected in a bin interval of 2.28 cM (or 1.68 Mb) on chromosome E10 in two cropping seasons, explaining ~65% and 55% of the phenotypic variation in LVC and FPC, respectively. Genome-wide association analysis in this population validated the QTL and demonstrated the correctness of mapping two bins of chromosome E02 onto E10. Bioinformatics analysis suggested that a WDR protein gene inside the bin interval with reliable effective variation between the two parents could be a possible candidate gene of the QTL.
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Affiliation(s)
- Wenxiang Guan
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Changjiao Ke
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Weiqi Tang
- Marine and Agricultural Biotechnology Laboratory, Fuzhou Institute of Oceanography, Minjiang University, Fuzhou 350108, China
| | - Jialong Jiang
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jing Xia
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xiaofang Xie
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Mei Yang
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Chenfeng Duan
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Weiren Wu
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Correspondence: (W.W.); (Y.Z.)
| | - Yan Zheng
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, College of Agriculture/College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Correspondence: (W.W.); (Y.Z.)
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4
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A Genomic BSAseq Approach for the Characterization of QTLs Underlying Resistance to Fusarium oxysporum in Eggplant. Cells 2022; 11:cells11162548. [PMID: 36010625 PMCID: PMC9406753 DOI: 10.3390/cells11162548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/12/2022] [Accepted: 08/12/2022] [Indexed: 11/17/2022] Open
Abstract
Eggplant (Solanum melongena L.), similar to many other crops, suffers from soil-borne diseases, including Fusarium oxysporum f. sp. melongenae (Fom), causing wilting and heavy yield loss. To date, the genetic factors underlying plant responses to Fom are not well known. We previously developed a Recombinant Inbred Lines (RILs) population using as a female parent the fully resistant line ‘305E40’ and as a male parent the partially resistant line ‘67/3’. The fully resistant trait to Fom was introgressed from the allied species S. aethiopicum. In this work, the RIL population was assessed for the responses to Fom and by using a genomic mapping approach, two major QTLs on chromosomes CH02 and CH11 were identified, associated with the full and partial resistance trait to Fom, respectively. A targeted BSAseq procedure in which Illumina reads bulks of RILs grouped according to their resistance score was aligned to the appropriate reference genomes highlighted differentially enriched regions between resistant/susceptible progeny in the genomic regions underlying both QTLs. The characterization of such regions allowed us to identify the most reliable candidate genes for the two resistance traits. With the aim of revealing exclusive species-specific contigs and scaffolds inherited from the allied species and thus associated with the full resistance trait, a draft de-novo assembly of available Illumina sequences of the ‘305E40’ parent was developed to better resolve the non-recombining genomic region on its CH02 carrying the introgressed Fom resistance locus from S. aethiopicum.
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Genetic mapping of simply inherited categorical traits, including anthocyanin accumulation profiles and fruit appearance, in eggplant (Solanum melongena). Mol Biol Rep 2022; 49:9147-9157. [DOI: 10.1007/s11033-022-07737-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/22/2022] [Indexed: 10/15/2022]
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Barchi L, Rabanus‐Wallace MT, Prohens J, Toppino L, Padmarasu S, Portis E, Rotino GL, Stein N, Lanteri S, Giuliano G. Improved genome assembly and pan-genome provide key insights into eggplant domestication and breeding. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 107:579-596. [PMID: 33964091 PMCID: PMC8453987 DOI: 10.1111/tpj.15313] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 04/30/2021] [Accepted: 05/04/2021] [Indexed: 05/20/2023]
Abstract
Eggplant (Solanum melongena L.) is an important horticultural crop and one of the most widely grown vegetables from the Solanaceae family. It was domesticated from a wild, prickly progenitor carrying small, round, non-anthocyanic fruits. We obtained a novel, highly contiguous genome assembly of the eggplant '67/3' reference line, by Hi-C retrofitting of a previously released short read- and optical mapping-based assembly. The sizes of the 12 chromosomes and the fraction of anchored genes in the improved assembly were comparable to those of a chromosome-level assembly. We resequenced 23 accessions of S. melongena representative of the worldwide phenotypic, geographic, and genetic diversity of the species, and one each from the closely related species Solanum insanum and Solanum incanum. The eggplant pan-genome contained approximately 51.5 additional megabases and 816 additional genes compared with the reference genome, while the pan-plastome showed little genetic variation. We identified 53 selective sweeps related to fruit color, prickliness, and fruit shape in the nuclear genome, highlighting selection leading to the emergence of present-day S. melongena cultivars from its wild ancestors. Candidate genes underlying the selective sweeps included a MYBL1 repressor and CHALCONE ISOMERASE (for fruit color), homologs of Arabidopsis GLABRA1 and GLABROUS INFLORESCENCE STEMS2 (for prickliness), and orthologs of tomato FW2.2, OVATE, LOCULE NUMBER/WUSCHEL, SUPPRESSOR OF OVATE, and CELL SIZE REGULATOR (for fruit size/shape), further suggesting that selection for the latter trait relied on a common set of orthologous genes in tomato and eggplant.
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Affiliation(s)
- Lorenzo Barchi
- DISAFA – Plant geneticsUniversity of TurinGrugliasco (TO)10095Italy
| | | | - Jaime Prohens
- COMAVUniversitat Politècnica de ValènciaCamino de Vera 14Valencia46022Spain
| | - Laura Toppino
- CREA Research Centre for Genomics and BioinformaticsVia Paullese 28Montanaso LombardoLO26836Italy
| | - Sudharsan Padmarasu
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstr. 3Seeland06466Germany
| | - Ezio Portis
- DISAFA – Plant geneticsUniversity of TurinGrugliasco (TO)10095Italy
| | - Giuseppe Leonardo Rotino
- CREA Research Centre for Genomics and BioinformaticsVia Paullese 28Montanaso LombardoLO26836Italy
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstr. 3Seeland06466Germany
- Department of Crop SciencesCenter for Integrated Breeding Research (CiBreed)Georg‐August‐UniversityVon Siebold Str. 8Göttingen37075Germany
| | - Sergio Lanteri
- DISAFA – Plant geneticsUniversity of TurinGrugliasco (TO)10095Italy
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7
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Sulli M, Barchi L, Toppino L, Diretto G, Sala T, Lanteri S, Rotino GL, Giuliano G. An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality. FRONTIERS IN PLANT SCIENCE 2021; 12:638195. [PMID: 34079565 PMCID: PMC8166230 DOI: 10.3389/fpls.2021.638195] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 03/22/2021] [Indexed: 06/02/2023]
Abstract
Eggplant (Solanum melongena L.) represents the third most important crop of the Solanaceae family and is an important component of our daily diet. A population of 164 F6 recombinant inbred lines (RILs), derived from two eggplant lines differing with respect to several key agronomic traits, "305E40" and "67/3," was grown to the commercial maturation stage, and fruits were harvested, separated into peel and flesh, and subjected to liquid chromatography Liquid Chromatography/Mass Spectrometry (LC/MS) analysis. Through a combination of untargeted and targeted metabolomics approaches, a number of metabolites belonging to the glycoalkaloid, anthocyanin, and polyamine classes and showing a differential accumulation in the two parental lines and F1 hybrid were identified. Through metabolic profiling of the RILs, we identified several metabolomic quantitative trait loci (mQTLs) associated with the accumulation of those metabolites. Each of the metabolic traits proved to be controlled by one or more quantitative trait loci (QTLs); for most of the traits, one major mQTL (phenotypic variation explained [PVE] ≥ 10%) was identified. Data on mQTL mapping and dominance-recessivity relationships of measured compounds in the parental lines and F1 hybrid, as well as an analysis of the candidate genes underlying the QTLs and of their sequence differences in the two parental lines, suggested a series of candidate genes underlying the traits under study.
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Affiliation(s)
- Maria Sulli
- Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Casaccia Research Centre, Rome, Italy
| | - Lorenzo Barchi
- Department of Agricultural, Forest and Food Sciences (DISAFA), Plant Genetics and Breeding, University of Turin, Grugliasco, Italy
| | - Laura Toppino
- CREA, Council for Agricultural and Economics Research, Research Centre for Genomics and Bioinformatics, Montanaso Lombardo, Italy
| | - Gianfranco Diretto
- Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Casaccia Research Centre, Rome, Italy
| | - Tea Sala
- CREA, Council for Agricultural and Economics Research, Research Centre for Genomics and Bioinformatics, Montanaso Lombardo, Italy
| | - Sergio Lanteri
- Department of Agricultural, Forest and Food Sciences (DISAFA), Plant Genetics and Breeding, University of Turin, Grugliasco, Italy
| | - Giuseppe Leonardo Rotino
- CREA, Council for Agricultural and Economics Research, Research Centre for Genomics and Bioinformatics, Montanaso Lombardo, Italy
| | - Giovanni Giuliano
- Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Casaccia Research Centre, Rome, Italy
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8
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Li D, Qian J, Li W, Yu N, Gan G, Jiang Y, Li W, Liang X, Chen R, Mo Y, Lian J, Niu Y, Wang Y. A high-quality genome assembly of the eggplant provides insights into the molecular basis of disease resistance and chlorogenic acid synthesis. Mol Ecol Resour 2021; 21:1274-1286. [PMID: 33445226 DOI: 10.1111/1755-0998.13321] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 11/19/2020] [Accepted: 01/06/2021] [Indexed: 11/28/2022]
Abstract
The eggplant (Solanum melongena L.) is one of the most important Solanaceae crops, ranking third for total production and economic value in its genus. Herein, we report a high-quality, chromosome-scale eggplant reference genome sequence of 1155.8 Mb, with an N50 of 93.9 Mb, which was assembled by combining PacBio long reads and Hi-C sequencing data. Repetitive sequences occupied 70.1% of the assembly length, and 35,018 high-confidence protein-coding genes were annotated based on multiple sources. Comparative analysis revealed 646 species-specific families and 364 positive selection genes, conferring distinguishing traits on the eggplant. We performed genome-wide comparative identification of disease resistance genes and discovered an expanded gene family of bacterial spot resistance in eggplant and pepper, but not in tomato and potato. The genes involved in chlorogenic acid synthesis were comprehensively characterized. Highly similar chromosomal distribution patterns of polyphenol oxidase genes were observed in the eggplant, tomato, and potato genomes. The eggplant reference genome sequence will not only facilitate evolutionary studies of the Solanaceae but also facilitate their breeding and improvement.
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Affiliation(s)
- Dandan Li
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Jun Qian
- Biozeron Shenzhen, Inc, Shenzhen, China
| | - Weiliu Li
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Ning Yu
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Guiyun Gan
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Yaqin Jiang
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Wenjia Li
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Xuyu Liang
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Riyuan Chen
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Yongcheng Mo
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
| | | | | | - Yikui Wang
- Institute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China
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Wei Q, Wang J, Wang W, Hu T, Hu H, Bao C. A high-quality chromosome-level genome assembly reveals genetics for important traits in eggplant. HORTICULTURE RESEARCH 2020; 7:153. [PMID: 33024567 PMCID: PMC7506008 DOI: 10.1038/s41438-020-00391-0] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/19/2020] [Accepted: 08/23/2020] [Indexed: 05/04/2023]
Abstract
Eggplant (Solanum melongena L.) is an economically important vegetable crop in the Solanaceae family, with extensive diversity among landraces and close relatives. Here, we report a high-quality reference genome for the eggplant inbred line HQ-1315 (S. melongena-HQ) using a combination of Illumina, Nanopore and 10X genomics sequencing technologies and Hi-C technology for genome assembly. The assembled genome has a total size of ~1.17 Gb and 12 chromosomes, with a contig N50 of 5.26 Mb, consisting of 36,582 protein-coding genes. Repetitive sequences comprise 70.09% (811.14 Mb) of the eggplant genome, most of which are long terminal repeat (LTR) retrotransposons (65.80%), followed by long interspersed nuclear elements (LINEs, 1.54%) and DNA transposons (0.85%). The S. melongena-HQ eggplant genome carries a total of 563 accession-specific gene families containing 1009 genes. In total, 73 expanded gene families (892 genes) and 34 contraction gene families (114 genes) were functionally annotated. Comparative analysis of different eggplant genomes identified three types of variations, including single-nucleotide polymorphisms (SNPs), insertions/deletions (indels) and structural variants (SVs). Asymmetric SV accumulation was found in potential regulatory regions of protein-coding genes among the different eggplant genomes. Furthermore, we performed QTL-seq for eggplant fruit length using the S. melongena-HQ reference genome and detected a QTL interval of 71.29-78.26 Mb on chromosome E03. The gene Smechr0301963, which belongs to the SUN gene family, is predicted to be a key candidate gene for eggplant fruit length regulation. Moreover, we anchored a total of 210 linkage markers associated with 71 traits to the eggplant chromosomes and finally obtained 26 QTL hotspots. The eggplant HQ-1315 genome assembly can be accessed at http://eggplant-hq.cn. In conclusion, the eggplant genome presented herein provides a global view of genomic divergence at the whole-genome level and powerful tools for the identification of candidate genes for important traits in eggplant.
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Affiliation(s)
- Qingzhen Wei
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Jinglei Wang
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Wuhong Wang
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Tianhua Hu
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Haijiao Hu
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Chonglai Bao
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
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Miyatake K, Saito T, Nunome T, Yamaguchi H, Negoro S, Ohyama A, Wu J, Katayose Y, Fukuoka H. Fine mapping of a major locus representing the lack of prickles in eggplant revealed the availability of a 0.5-kb insertion/deletion for marker-assisted selection. BREEDING SCIENCE 2020; 70:438-448. [PMID: 32968346 PMCID: PMC7495204 DOI: 10.1270/jsbbs.20004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 04/02/2020] [Indexed: 05/29/2023]
Abstract
As prickles cause labour inefficiency during cultivation and scratches on the skin of fruits during transportation, they are considered undesirable traits of eggplant (Solanum melongena L.). Because the molecular basis of prickle emergence has not been entirely revealed in plants, we mapped an eggplant semi-dominant Prickle (Pl) gene locus, which causes the absence of prickles, on chromosome 6 of a linkage map of the F2 population derived from crossing the no-prickly cultivar 'Togenashi-senryo-nigo' and the prickly line LS1934. By performing synteny mapping with tomato, the genomic region corresponding to the eggplant Pl locus was identified. Through bacterial artificial chromosome (BAC) screening, positive BAC clones and the contig sequence that harbour the Pl locus in the prickly eggplant genome were revealed. The BAC contig length was 133 kb, and it contained 16 predicted genes. Among them, a characteristic 0.5-kb insertion/deletion was detected. As the 0.5-kb insertion was commonly identified with the prickly phenotype worldwide, a primer pair that amplifies the insertion/deletion could be used for marker-assisted selection of the no-prickly phenotype. Such findings contribute to map-based-cloning of the Pl gene and the understanding of gene function, ultimately providing new insights into the regulatory molecular mechanisms underlying prickle emergence in plants.
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Affiliation(s)
- Koji Miyatake
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Takeo Saito
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Tsukasa Nunome
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Hirotaka Yamaguchi
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Satomi Negoro
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Akio Ohyama
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Jianzhong Wu
- Institute of Crop Science (NICS), National Agriculture and Food Research Organization (NARO), 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
| | - Yuichi Katayose
- Institute of Crop Science (NICS), National Agriculture and Food Research Organization (NARO), 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
| | - Hiroyuki Fukuoka
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
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11
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A New Intra-Specific and High-Resolution Genetic Map of Eggplant Based on a RIL Population, and Location of QTLs Related to Plant Anthocyanin Pigmentation and Seed Vigour. Genes (Basel) 2020; 11:genes11070745. [PMID: 32635424 PMCID: PMC7397344 DOI: 10.3390/genes11070745] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/01/2020] [Accepted: 07/02/2020] [Indexed: 12/16/2022] Open
Abstract
Eggplant is the second most important solanaceous berry-producing crop after tomato. Despite mapping studies based on bi-parental progenies and GWAS approaches having been performed, an eggplant intraspecific high-resolution map is still lacking. We developed a RIL population from the intraspecific cross ‘305E40’, (androgenetic introgressed line carrying the locus Rfo-Sa1 conferring Fusarium resistance) x ‘67/3’ (breeding line whose genome sequence was recently released). One hundred and sixty-three RILs were genotyped by a genotype-by-sequencing (GBS) approach, which allowed us to identify 10,361 polymorphic sites. Overall, 267 Gb of sequencing data were generated and ~773 M Illumina paired end (PE) reads were mapped against the reference sequence. A new linkage map was developed, including 7249 SNPs assigned to the 12 chromosomes and spanning 2169.23 cM, with iaci@liberoan average distance of 0.4 cM between adjacent markers. This was used to elucidate the genetic bases of seven traits related to anthocyanin content in different organs recorded in three locations as well as seed vigor. Overall, from 7 to 17 QTLs (at least one major QTL) were identified for each trait. These results demonstrate that our newly developed map supplies valuable information for QTL fine mapping, candidate gene identification, and the development of molecular markers for marker assisted selection (MAS) of favorable alleles.
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Wei Q, Wang W, Hu T, Hu H, Wang J, Bao C. Construction of a SNP-Based Genetic Map Using SLAF-Seq and QTL Analysis of Morphological Traits in Eggplant. Front Genet 2020; 11:178. [PMID: 32218801 PMCID: PMC7078336 DOI: 10.3389/fgene.2020.00178] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 02/13/2020] [Indexed: 01/09/2023] Open
Abstract
Eggplant (Solanum melongena; 2n = 24) is an economically important fruit crop of the family Solanaceae that was domesticated in India and Southeast Asia. Construction of a high-resolution genetic map and map-based gene mining in eggplant have lagged behind other crops within the family such as tomato and potato. In this study, we conducted high-throughput single nucleotide polymorphism (SNP) discovery in the eggplant genome using specific length amplified fragment (SLAF) sequencing and constructed a high-density genetic map for the quantitative trait locus (QTL) analysis of multiple traits. An interspecific F2 population of 121 individuals was developed from the cross between cultivated eggplant "1836" and the wild relative S. linnaeanum "1809." Genomic DNA extracted from parental lines and the F2 population was subjected to high-throughput SLAF sequencing. A total of 111.74 Gb of data and 487.53 million pair-end reads were generated. A high-resolution genetic map containing 2,122 SNP markers and 12 linkage groups was developed for eggplant, which spanned 1530.75 cM, with an average distance of 0.72 cM between adjacent markers. A total of 19 QTLs were detected for stem height and fruit and leaf morphology traits of eggplant, explaining 4.08-55.23% of the phenotypic variance. These QTLs were distributed on nine linkage groups (LGs), but not on LG2, 4, and 9. The number of SNPs ranged from 2 to 11 within each QTL, and the genetic interval varied from 0.15 to 10.53 cM. Overall, the results establish a foundation for the fine mapping of complex QTLs, candidate gene identification, and marker-assisted selection of favorable alleles in eggplant breeding.
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Affiliation(s)
| | | | | | | | | | - Chonglai Bao
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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Miyatake K, Shinmura Y, Matsunaga H, Fukuoka H, Saito T. Construction of a core collection of eggplant ( Solanum melongena L.) based on genome-wide SNP and SSR genotypes. BREEDING SCIENCE 2019; 69:498-502. [PMID: 31598083 PMCID: PMC6776151 DOI: 10.1270/jsbbs.18202] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Accepted: 04/17/2019] [Indexed: 05/24/2023]
Abstract
A core collection of eggplant (Solanum melongena L.) was developed based on a dataset of genome-wide 831 SNP and 50 SSR genotypes analyzed in 893 accessions of eggplant genetic resources collected in the NARO Genebank using the Core Hunter II program. The 893 accessions were collected worldwide, mainly Asia. Genetic variation and population structure among the 893 eggplant accessions were characterized. The genetic diversity of the Asian accessions, especially the South Asian and Southeast Asian accessions, forming the center of diversity in eggplant, was higher than that of the other regions. The resulting core collection, World Eggplant Core (WEC) collection consisted of 100 accessions basically collected from the high genetic diversity countries. Based on the results of the cluster and STRUCTURE analyses with SNP genotypes, the WEC collection was divided into four clusters (S1-S4). Each cluster corresponds to a geographical group as below, S1; the European, American and African countries, S2; the East Asian countries, S3; the Southeast Asian countries, S4; the South Asian and Southeast Asian countries. The genotype and phenotype data of the WEC collection are available from the VegMarks database (https://vegmarks.nivot.affrc.go.jp/resource/), and seed samples are available from the NARO Genebank (https://www.gene.affrc.go.jp/databases-core_collections.php).
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Affiliation(s)
- Koji Miyatake
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO),
360 Kusawa, Ano, Tsu, Mie 514-2392,
Japan
| | - Yoshimi Shinmura
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO),
360 Kusawa, Ano, Tsu, Mie 514-2392,
Japan
| | - Hiroshi Matsunaga
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO),
360 Kusawa, Ano, Tsu, Mie 514-2392,
Japan
| | - Hiroyuki Fukuoka
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO),
360 Kusawa, Ano, Tsu, Mie 514-2392,
Japan
- Takii & Company, Limited,
1360 Hari, Konan, Shiga 520-3231,
Japan
| | - Takeo Saito
- Institute of Vegetable and Floriculture Science (NIVFS), National Agriculture and Food Research Organization (NARO),
360 Kusawa, Ano, Tsu, Mie 514-2392,
Japan
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14
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Portis E, Lanteri S, Barchi L, Portis F, Valente L, Toppino L, Rotino GL, Acquadro A. Comprehensive Characterization of Simple Sequence Repeats in Eggplant ( Solanum melongena L.) Genome and Construction of a Web Resource. FRONTIERS IN PLANT SCIENCE 2018; 9:401. [PMID: 29643862 PMCID: PMC5883146 DOI: 10.3389/fpls.2018.00401] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 03/13/2018] [Indexed: 05/21/2023]
Abstract
We have characterized the simple sequence repeat (SSR) markers of the eggplant (Solanum melongena) using a recent high quality sequence of its whole genome. We found nearly 133,000 perfect SSRs, a density of 125.5 SSRs/Mbp, and also about 178,400 imperfect SSRs. Of the perfect SSRs, 15.6% were complex, with two stretches of repeats separated by an intervening block of <100 nt. Di- and trinucleotide SSRs accounted, respectively, for 43 and 37% of the total. The SSRs were classified according to their number of repeats and overall length, and were assigned to their linkage group. We found 2,449 of the perfect SSRs in 2,086 genes, with an overall density of 18.5 SSRs/Mbp across the gene space; 3,524 imperfect SSRs were present in 2,924 genes at a density of 26.7 SSRs/Mbp. Putative functions were assigned via ontology to genes containing at least one SSR. Using this data we developed an "Eggplant Microsatellite DataBase" (EgMiDB) which permits identification of SSR markers in terms of their location on the genome, type of repeat (perfect vs. imperfect), motif type, sequence, repeat number and genomic/gene context. It also suggests forward and reverse primers. We employed an in silico PCR analysis to validate these SSR markers, using as templates two CDS sets and three assembled transcriptomes obtained from diverse eggplant accessions.
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Affiliation(s)
- Ezio Portis
- Dipartimento di Scienze Agrarie, Forestali ed Alimentari – Plant Genetics and Breeding, Università degli Studi di Torino, Turin, Italy
| | - Sergio Lanteri
- Dipartimento di Scienze Agrarie, Forestali ed Alimentari – Plant Genetics and Breeding, Università degli Studi di Torino, Turin, Italy
- *Correspondence: Sergio Lanteri,
| | - Lorenzo Barchi
- Dipartimento di Scienze Agrarie, Forestali ed Alimentari – Plant Genetics and Breeding, Università degli Studi di Torino, Turin, Italy
| | | | | | - Laura Toppino
- CREA-GB, Research Centre for Genomics and Bioinformatics, Lodi, Italy
| | | | - Alberto Acquadro
- Dipartimento di Scienze Agrarie, Forestali ed Alimentari – Plant Genetics and Breeding, Università degli Studi di Torino, Turin, Italy
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Gramazio P, Prohens J, Plazas M, Mangino G, Herraiz FJ, Vilanova S. Development and Genetic Characterization of Advanced Backcross Materials and An Introgression Line Population of Solanum incanum in a S. melongena Background. FRONTIERS IN PLANT SCIENCE 2017; 8:1477. [PMID: 28912788 PMCID: PMC5582342 DOI: 10.3389/fpls.2017.01477] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 08/09/2017] [Indexed: 05/29/2023]
Abstract
Advanced backcrosses (ABs) and introgression lines (ILs) of eggplant (Solanum melongena) can speed up genetics and genomics studies and breeding in this crop. We have developed the first full set of ABs and ILs in eggplant using Solanum incanum, a wild eggplant that has a relatively high tolerance to drought, as a donor parent. The development of these ABs and IL eggplant populations had a low efficiency in the early stages, because of the lack of molecular markers and genomic tools. However, this dramatically improved after performing genotyping-by-sequencing in the first round of selfing, followed by high-resolution-melting single nucleotide polymorphism genotyping in subsequent selection steps. A set of 73 selected ABs covered 99% of the S. incanum genome, while 25 fixed immortal ILs, each carrying a single introgressed fragment in homozygosis, altogether spanned 61.7% of the S. incanum genome. The introgressed size fragment in the ILs contained between 0.1 and 10.9% of the S. incanum genome, with a mean value of 4.3%. Sixty-eight candidate genes involved in drought tolerance were identified in the set of ILs. This first set of ABs and ILs of eggplant will be extremely useful for the genetic dissection of traits of interest for eggplant, and represents an elite material for introduction into the breeding pipelines for developing new eggplant cultivars adapted to the challenges posed by the climate-change scenario.
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Affiliation(s)
- Pietro Gramazio
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de ValènciaValencia, Spain
| | - Jaime Prohens
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de ValènciaValencia, Spain
| | - Mariola Plazas
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas - Universitat Politècnica de ValènciaValencia, Spain
| | - Giulio Mangino
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de ValènciaValencia, Spain
| | - Francisco J. Herraiz
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de ValènciaValencia, Spain
| | - Santiago Vilanova
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de ValènciaValencia, Spain
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Nakaya A, Ichihara H, Asamizu E, Shirasawa S, Nakamura Y, Tabata S, Hirakawa H. Plant Genome DataBase Japan (PGDBj). Methods Mol Biol 2017; 1533:45-77. [PMID: 27987164 DOI: 10.1007/978-1-4939-6658-5_3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
A portal website that integrates a variety of information related to genomes of model and crop plants from databases (DBs) and the literature was generated. This website, named the Plant Genome DataBase Japan (PGDBj, http://pgdbj. jp/en/ ), is comprised of three component DBs and a cross-search engine which provides a seamless search over their contents. One of the three component DBs is the Ortholog DB, which provides gene cluster information based on the amino acid sequence similarity. Over 1,000,000 amino acid sequences of 40 Viridiplantae species were collected from the public DNA DBs, and plant genome DBs such as TAIR and RAP-DB were subjected to reciprocal BLAST searches for clustering. Another component DB is the Plant Resource DB for genomic- and bio-resources. This DB also integrates the SABRE DB, which provides cDNA and genome sequence resources maintained in the RIKEN BioResource Center and National BioResource Projects Japan. The third component DB of PGDBj is the DNA Marker DB, which manually or automatically collects curated information on DNA markers, quantitative trait loci (QTL), and related genetic linkage maps, from the literature and external DBs. By combining these component DBs and a cross-search engine, PGDBj serves as a useful platform to study genetic systems for both fundamental and applied researches for a wide range of plant species.
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Affiliation(s)
- Akihiro Nakaya
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, 1-1 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Hisako Ichihara
- Department of Technology Development, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan
| | - Erika Asamizu
- Department of Plant Life Sciences, Faculty of Agriculture, Ryukoku University, 1-5 Yokotani, Seta Oe-cho, Otsu, Shiga, 520-2194, Japan
| | - Sachiko Shirasawa
- Department of Technology Development, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan
| | - Yasukazu Nakamura
- Department of Technology Development, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan
| | - Satoshi Tabata
- Department of Technology Development, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan
| | - Hideki Hirakawa
- Department of Technology Development, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan.
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17
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Gramazio P, Blanca J, Ziarsolo P, Herraiz FJ, Plazas M, Prohens J, Vilanova S. Transcriptome analysis and molecular marker discovery in Solanum incanum and S. aethiopicum, two close relatives of the common eggplant (Solanum melongena) with interest for breeding. BMC Genomics 2016; 17:300. [PMID: 27108408 PMCID: PMC4841963 DOI: 10.1186/s12864-016-2631-4] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Accepted: 04/19/2016] [Indexed: 11/28/2022] Open
Abstract
Background Solanum incanum is a close wild relative of S. melongena with high contents of bioactive phenolics and drought tolerance. S. aethiopicum is a cultivated African eggplant cross-compatible with S. melongena. Despite their great interest in S. melongena breeding programs, the genomic resources for these species are scarce. Results RNA-Seq was performed with NGS from pooled RNA of young leaf, floral bud and young fruit tissues, generating more than one hundred millions raw reads per species. The transcriptomes were assembled in 83,905 unigenes for S. incanum and in 87,084 unigenes for S. aethiopicum with an average length of 696 and 722 bp, respectively. The unigenes were structurally and functionally annotated based on comparison with public databases by using bioinformatic tools. The single nucleotide variant calling analysis (SNPs and INDELs) was performed by mapping our S. incanum and S. aethiopicum reads, as well as reads from S. melongena and S. torvum available on NCBI database (National Center for Biotechnology Information), against the eggplant genome. Both intraspecific and interspecific polymorphisms were identified and subsets of molecular markers were created for all species combinations. 36 SNVs were selected for validation in the S. incanum and S. aethiopicum accessions and 96 % were correctly amplified confirming the polymorphisms. In addition, 976 and 1,278 SSRs were identified in S. incanum and S. aethiopicum transcriptomes respectively, and a set of them were validated. Conclusions This work provides a broad insight into gene sequences and allelic variation in S. incanum and S. aethiopicum. This work is a first step toward better understanding of target genes involved in metabolic pathways relevant for eggplant breeding. The molecular markers detected in this study could be used across all the eggplant genepool, which is of interest for breeding programs as well as to perform marker-trait association and QTL analysis studies. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2631-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- P Gramazio
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022, Valencia, Spain.
| | - J Blanca
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022, Valencia, Spain
| | - P Ziarsolo
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022, Valencia, Spain
| | - F J Herraiz
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022, Valencia, Spain
| | - M Plazas
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022, Valencia, Spain
| | - J Prohens
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022, Valencia, Spain
| | - S Vilanova
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022, Valencia, Spain
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Miyatake K, Saito T, Negoro S, Yamaguchi H, Nunome T, Ohyama A, Fukuoka H. Detailed mapping of a resistance locus against Fusarium wilt in cultivated eggplant (Solanum melongena). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2016; 129:357-67. [PMID: 26582508 DOI: 10.1007/s00122-015-2632-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2015] [Accepted: 10/09/2015] [Indexed: 05/07/2023]
Abstract
KEY MESSAGE This is the first report on genetic mapping of a resistance locus against Fusarium wilt caused by the plant pathogen Fusarium oxysporum f. sp. melongenae in cultivated eggplant. ABSTRACT Fusarium wilt, caused by the plant pathogen Fusarium oxysporum f. sp. melongenae, is a major soil-borne disease threatening stable production in eggplant (Solanum melongena). Although three eggplant germplasms, LS1934, LS174, and LS2436, are known to be highly resistant to the pathogen, their resistance loci have not been mapped. In this study, we performed quantitative trait locus analyses in F2:3 populations and detected a resistance locus, FM1, at the end of chromosome 2, with two alleles, Fm1(L) and Fm1(E), in the F2 populations LWF2 [LS1934 × WCGR112-8 (susceptible)] and EWF2 [EPL-1 (derived from LS174) × WCGR112-8], respectively. The percentage of phenotypic variance explained by Fm1(L) derived from LS1934 was 75.0% [Logarithm of the odds (LOD) = 29.3], and that explained by Fm1(E) derived from EPL-1 was 92.2% (LOD = 65.8). Using backcrossed inbred lines, we mapped FM1 between two simple sequence repeat markers located ~4.881 cM apart from each other. Comparing the location of the above locus to those of previously reported ones, the resistance locus Rfo-sa1 from an eggplant ally (Solanum aethiopicum gr. Gilo) was mapped very close to FM1, whereas another resistance locus, from LS2436, was mapped to the middle of chromosome 4. This is the first report of mapping of a Fusarium resistance locus in cultivated eggplant. The availability of resistance-linked markers will enable the application of marker-assisted selection to overcome problems posed by self-incompatibility and introduction of negative traits because of linkage drag, and will lead to clear understanding of genetic mechanism of Fusarium resistance.
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Affiliation(s)
- Koji Miyatake
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan.
| | - Takeo Saito
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Satomi Negoro
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Hirotaka Yamaguchi
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Tsukasa Nunome
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Akio Ohyama
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Hiroyuki Fukuoka
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
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Du Q, Gong C, Wang Q, Zhou D, Yang H, Pan W, Li B, Zhang D. Genetic architecture of growth traits in Populus revealed by integrated quantitative trait locus (QTL) analysis and association studies. THE NEW PHYTOLOGIST 2016; 209:1067-82. [PMID: 26499329 DOI: 10.1111/nph.13695] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 09/02/2015] [Indexed: 05/08/2023]
Abstract
Deciphering the genetic architecture underlying polygenic traits in perennial species can inform molecular marker-assisted breeding. Recent advances in high-throughput sequencing have enabled strategies that integrate linkage-linkage disequilibrium (LD) mapping in Populus. We used an integrated method of quantitative trait locus (QTL) dissection with a high-resolution linkage map and multi-gene association mapping to decipher the nature of genetic architecture (additive, dominant, and epistatic effects) of potential QTLs for growth traits in a Populus linkage population (1200 progeny) and a natural population (435 individuals). Seventeen QTLs for tree height, diameter at breast height, and stem volume mapped to 11 linkage groups (logarithm of odds (LOD) ≥ 2.5), and explained 2.7-18.5% of the phenotypic variance. After comparative mapping and transcriptome analysis, 187 expressed genes (10 046 common single nucleotide polymorphisms (SNPs)) were selected from the segmental homology regions (SHRs) of 13 QTLs. Using multi-gene association models, we observed 202 significant SNPs in 63 promising genes from 10 QTLs (P ≤ 0.0001; FDR ≤ 0.10) that exhibited reproducible associations with additive/dominant effects, and further determined 11 top-ranked genes tightly linked to the QTLs. Epistasis analysis uncovered a uniquely interconnected gene-gene network for each trait. This study opens up opportunities to uncover the causal networks of interacting genes in plants using an integrated linkage-LD mapping approach.
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Affiliation(s)
- Qingzhang Du
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Chenrui Gong
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Qingshi Wang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Daling Zhou
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Haijiao Yang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Wei Pan
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
| | - Bailian Li
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Department of Forestry, North Carolina State University, Raleigh, NC, 27695-8203, USA
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing, 100083, China
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Docimo T, Francese G, Ruggiero A, Batelli G, De Palma M, Bassolino L, Toppino L, Rotino GL, Mennella G, Tucci M. Phenylpropanoids Accumulation in Eggplant Fruit: Characterization of Biosynthetic Genes and Regulation by a MYB Transcription Factor. FRONTIERS IN PLANT SCIENCE 2016; 6:1233. [PMID: 26858726 PMCID: PMC4729908 DOI: 10.3389/fpls.2015.01233] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 12/19/2015] [Indexed: 05/26/2023]
Abstract
Phenylpropanoids are major secondary metabolites in eggplant (Solanum melongena) fruits. Chlorogenic acid (CGA) accounts for 70-90% of total phenolics in flesh tissues, while anthocyanins are mainly present in the fruit skin. As a contribution to the understanding of the peculiar accumulation of these health-promoting metabolites in eggplant, we report on metabolite abundance, regulation of CGA and anthocyanin biosynthesis, and characterization of candidate CGA biosynthetic genes in S. melongena. Higher contents of CGA, Delphinidin 3-rutinoside, and rutin were found in eggplant fruits compared to other tissues, associated to an elevated transcript abundance of structural genes such as PAL, HQT, DFR, and ANS, suggesting that active in situ biosynthesis contributes to anthocyanin and CGA accumulation in fruit tissues. Putative orthologs of the two CGA biosynthetic genes PAL and HQT, as well as a variant of a MYB1 transcription factor showing identity with group six MYBs, were isolated from an Occidental S. melongena traditional variety and demonstrated to differ from published sequences from Asiatic varieties. In silico analysis of the isolated SmPAL1, SmHQT1, SmANS, and SmMyb1 promoters revealed the presence of several Myb regulatory elements for the biosynthetic genes and unique elements for the TF, suggesting its involvement in other physiological roles beside phenylpropanoid biosynthesis regulation. Transient overexpression in Nicotiana benthamiana leaves of SmMyb1 and of a C-terminal SmMyb1 truncated form (SmMyb1Δ9) resulted in anthocyanin accumulation only of SmMyb1 agro-infiltrated leaves. A yeast two-hybrid assay confirmed the interaction of both SmMyb1 and SmMyb1Δ9 with an anthocyanin-related potato bHLH1 TF. Interestingly, a doubled amount of CGA was detected in both SmMyb1 and SmMyb1Δ9 agro-infiltrated leaves, thus suggesting that the N-terminal region of SmMyb1 is sufficient to activate its synthesis. These data suggest that a deletion of the C-terminal region of SmMyb1 does not limit its capability to regulate CGA accumulation, but impairs anthocyanin biosynthesis. To our knowledge, this is the first study reporting a functional elucidation of the role of the C-term conserved domain in MYB activator proteins.
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Affiliation(s)
- Teresa Docimo
- Consiglio Nazionale delle Ricerche, Istituto di Bioscienze e BiorisorseUOS Portici, Italy
| | - Gianluca Francese
- Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Centro di Ricerca per l’OrticolturaPontecagnano, Italy
| | - Alessandra Ruggiero
- Consiglio Nazionale delle Ricerche, Istituto di Bioscienze e BiorisorseUOS Portici, Italy
| | - Giorgia Batelli
- Consiglio Nazionale delle Ricerche, Istituto di Bioscienze e BiorisorseUOS Portici, Italy
| | - Monica De Palma
- Consiglio Nazionale delle Ricerche, Istituto di Bioscienze e BiorisorseUOS Portici, Italy
| | - Laura Bassolino
- Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Unità di Ricerca per l’OrticolturaMontanaso Lombardo, Italy
| | - Laura Toppino
- Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Unità di Ricerca per l’OrticolturaMontanaso Lombardo, Italy
| | - Giuseppe L. Rotino
- Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Unità di Ricerca per l’OrticolturaMontanaso Lombardo, Italy
| | - Giuseppe Mennella
- Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Centro di Ricerca per l’OrticolturaPontecagnano, Italy
| | - Marina Tucci
- Consiglio Nazionale delle Ricerche, Istituto di Bioscienze e BiorisorseUOS Portici, Italy
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Toppino L, Barchi L, Lo Scalzo R, Palazzolo E, Francese G, Fibiani M, D'Alessandro A, Papa V, Laudicina VA, Sabatino L, Pulcini L, Sala T, Acciarri N, Portis E, Lanteri S, Mennella G, Rotino GL. Mapping Quantitative Trait Loci Affecting Biochemical and Morphological Fruit Properties in Eggplant (Solanum melongena L.). FRONTIERS IN PLANT SCIENCE 2016; 7:256. [PMID: 26973692 PMCID: PMC4777957 DOI: 10.3389/fpls.2016.00256] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 02/15/2016] [Indexed: 05/19/2023]
Abstract
Eggplant berries are a source of health-promoting metabolites including antioxidant and nutraceutical compounds, mainly anthocyanins and chlorogenic acid; however, they also contain some anti-nutritional compounds such as steroidal glycoalkaloids (SGA) and saponins, which are responsible for the bitter taste of the flesh and with potential toxic effects on humans. Up to now, Quantitative Trait Loci (QTL) for the metabolic content are far from being characterized in eggplant, thus hampering the application of breeding programs aimed at improving its fruit quality. Here we report on the identification of some QTL for the fruit metabolic content in an F2 intraspecific mapping population of 156 individuals, obtained by crossing the eggplant breeding lines "305E40" × "67/3." The same population was previously employed for the development of a RAD-tag based linkage map and the identification of QTL associated to morphological and physiological traits. The mapping population was biochemically characterized for both fruit basic qualitative data, like dry matter, °Brix, sugars, and organic acids, as well as for health-related compounds such chlorogenic acid, (the main flesh monomeric phenol), the two peel anthocyanins [i.e., delphinidin-3-rutinoside (D3R) and delphinidin-3-(p- coumaroylrutinoside)-5-glucoside (nasunin)] and the two main steroidal glycoalkaloids, solasonine, and solamargine. For most of the traits, one major QTL (PVE ≥10%) was spotted and putative orthologies with other Solanaceae crops are discussed. The present results supply valuable information to eggplant breeders on the inheritance of key fruit quality traits, thus providing potential tools to assist future breeding programs.
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Affiliation(s)
- Laura Toppino
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-ORL, Unità di Ricerca per l'OrticolturaMontanaso Lombardo, Italy
| | - Lorenzo Barchi
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Plant Genetics and Breeding, University of TurinTurin, Italy
| | - Roberto Lo Scalzo
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-IAA, Unità di Ricerca per i Processi dell'Industria AgroalimentareMilano, Italy
| | - Eristanna Palazzolo
- Dipartimento di Scienze Agrarie e Forestali, Università degli Studi di PalermoPalermo, Italy
| | - Gianluca Francese
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-ORT, Centro di Ricerca per l'OrticolturaPontecagnano-Faiano, Italy
| | - Marta Fibiani
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-IAA, Unità di Ricerca per i Processi dell'Industria AgroalimentareMilano, Italy
| | - Antonietta D'Alessandro
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-ORT, Centro di Ricerca per l'OrticolturaPontecagnano-Faiano, Italy
| | - Vincenza Papa
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-IAA, Unità di Ricerca per i Processi dell'Industria AgroalimentareMilano, Italy
| | - Vito A. Laudicina
- Dipartimento di Scienze Agrarie e Forestali, Università degli Studi di PalermoPalermo, Italy
| | - Leo Sabatino
- Dipartimento di Scienze Agrarie e Forestali, Università degli Studi di PalermoPalermo, Italy
| | - Laura Pulcini
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-ORA, Unità di Ricerca per l'OrticolturaMonsampolo del Tronto, Italy
| | - Tea Sala
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-ORL, Unità di Ricerca per l'OrticolturaMontanaso Lombardo, Italy
| | - Nazzareno Acciarri
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-ORA, Unità di Ricerca per l'OrticolturaMonsampolo del Tronto, Italy
| | - Ezio Portis
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Plant Genetics and Breeding, University of TurinTurin, Italy
| | - Sergio Lanteri
- Dipartimento di Scienze Agrarie, Forestali e Alimentari, Plant Genetics and Breeding, University of TurinTurin, Italy
| | - Giuseppe Mennella
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-ORT, Centro di Ricerca per l'OrticolturaPontecagnano-Faiano, Italy
| | - Giuseppe L. Rotino
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria-ORL, Unità di Ricerca per l'OrticolturaMontanaso Lombardo, Italy
- *Correspondence: Giuseppe L. Rotino
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Gramazio P, Prohens J, Plazas M, Andújar I, Herraiz FJ, Castillo E, Knapp S, Meyer RS, Vilanova S. Location of chlorogenic acid biosynthesis pathway and polyphenol oxidase genes in a new interspecific anchored linkage map of eggplant. BMC PLANT BIOLOGY 2014; 14:350. [PMID: 25491265 PMCID: PMC4279458 DOI: 10.1186/s12870-014-0350-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Accepted: 11/25/2014] [Indexed: 05/21/2023]
Abstract
BACKGROUND Eggplant is a powerful source of polyphenols which seems to play a key role in the prevention of several human diseases, such as cancer and diabetes. Chlorogenic acid is the polyphenol most present in eggplant, comprising between the 70% and 90% of the total polyphenol content. Introduction of the high chlorogenic acid content of wild relatives, such as S. incanum, into eggplant varieties will be of great interest. A potential side effect of the increased level polyphenols could be a decrease on apparent quality due to browning caused by the polyphenol oxidase enzymes mediated oxidation of polyphenols. We report the development of a new interspecific S. melongena × S. incanum linkage map based on a first backcross generation (BC1) towards the cultivated S. melongena as a tool for introgressing S. incanum alleles involved in the biosynthesis of chlorogenic acid in the genetic background of S. melongena. RESULTS The interspecific genetic linkage map of eggplant developed in this work anchor the most informative previously published genetic maps of eggplant using common markers. The 91 BC1 plants of the mapping population were genotyped with 42 COSII, 99 SSRs, 88 AFLPs, 9 CAPS, 4 SNPs and one morphological polymorphic markers. Segregation marker data resulted in a map encompassing 1085 cM distributed in 12 linkage groups. Based on the syntheny with tomato, the candidate genes involved in the core chlorogenic acid synthesis pathway in eggplant (PAL, C4H, 4CL, HCT, C3'H, HQT) as well as five polyphenol oxidase (PPO1, PPO2, PPO3, PPO4, PPO5) were mapped. Except for 4CL and HCT chlorogenic acid genes were not linked. On the contrary, all PPO genes clustered together. Candidate genes important in domestication such as fruit shape (OVATE, SISUN1) and prickliness were also located. CONCLUSIONS The achievements in location of candidate genes will allow the search of favorable alleles employing marker-assisted selection in order to develop new varieties with higher chlorogenic content alongside a lower polyphenol oxidase activity. This will result into an enhanced product showing a lower fruit flesh browning with improved human health properties.
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Affiliation(s)
- Pietro Gramazio
- />Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022 Valencia, Spain
| | - Jaime Prohens
- />Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022 Valencia, Spain
| | - Mariola Plazas
- />Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022 Valencia, Spain
| | - Isabel Andújar
- />Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022 Valencia, Spain
| | - Francisco Javier Herraiz
- />Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022 Valencia, Spain
| | - Elena Castillo
- />Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022 Valencia, Spain
| | - Sandra Knapp
- />Department of Life Sciences, Natural History Museum, Cromwell Road, London, SW7 5BD UK
| | - Rachel S Meyer
- />Center for Genomics and Systems Biology, New York University, 12 Waverly Place, New York, NY 10003 USA
- />Center for Genomics and Systems Biology, New York University Abu Dhabi Research Institute, Abu Dhabi, United Arab Emirates
| | - Santiago Vilanova
- />Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València, Camino de Vera 14, 46022 Valencia, Spain
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23
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Hirakawa H, Shirasawa K, Miyatake K, Nunome T, Negoro S, Ohyama A, Yamaguchi H, Sato S, Isobe S, Tabata S, Fukuoka H. Draft genome sequence of eggplant (Solanum melongena L.): the representative solanum species indigenous to the old world. DNA Res 2014; 21:649-60. [PMID: 25233906 PMCID: PMC4263298 DOI: 10.1093/dnares/dsu027] [Citation(s) in RCA: 197] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Accepted: 08/12/2014] [Indexed: 11/28/2022] Open
Abstract
Unlike other important Solanaceae crops such as tomato, potato, chili pepper, and tobacco, all of which originated in South America and are cultivated worldwide, eggplant (Solanum melongena L.) is indigenous to the Old World and in this respect it is phylogenetically unique. To broaden our knowledge of the genomic nature of solanaceous plants further, we dissected the eggplant genome and built a draft genome dataset with 33,873 scaffolds termed SME_r2.5.1 that covers 833.1 Mb, ca. 74% of the eggplant genome. Approximately 90% of the gene space was estimated to be covered by SME_r2.5.1 and 85,446 genes were predicted in the genome. Clustering analysis of the predicted genes of eggplant along with the genes of three other solanaceous plants as well as Arabidopsis thaliana revealed that, of the 35,000 clusters generated, 4,018 were exclusively composed of eggplant genes that would perhaps confer eggplant-specific traits. Between eggplant and tomato, 16,573 pairs of genes were deduced to be orthologous, and 9,489 eggplant scaffolds could be mapped onto the tomato genome. Furthermore, 56 conserved synteny blocks were identified between the two species. The detailed comparative analysis of the eggplant and tomato genomes will facilitate our understanding of the genomic architecture of solanaceous plants, which will contribute to cultivation and further utilization of these crops.
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Affiliation(s)
- Hideki Hirakawa
- Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba 292-0818, Japan
| | - Kenta Shirasawa
- Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba 292-0818, Japan
| | - Koji Miyatake
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Tsukasa Nunome
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Satomi Negoro
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Akio Ohyama
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Hirotaka Yamaguchi
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Shusei Sato
- Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba 292-0818, Japan
| | - Sachiko Isobe
- Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba 292-0818, Japan
| | - Satoshi Tabata
- Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba 292-0818, Japan
| | - Hiroyuki Fukuoka
- NARO Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
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Portis E, Barchi L, Toppino L, Lanteri S, Acciarri N, Felicioni N, Fusari F, Barbierato V, Cericola F, Valè G, Rotino GL. QTL mapping in eggplant reveals clusters of yield-related loci and orthology with the tomato genome. PLoS One 2014; 9:e89499. [PMID: 24586828 PMCID: PMC3931786 DOI: 10.1371/journal.pone.0089499] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2013] [Accepted: 01/21/2014] [Indexed: 11/18/2022] Open
Abstract
In spite of its widespread cultivation and nutritional and economic importance, the eggplant (Solanum melongena L.) genome has not been extensively explored. A lack of knowledge of the patterns of inheritance of key agronomic traits has hindered the exploitation of marker technologies to accelerate its genetic improvement. An already established F2 intraspecific population of eggplant bred from the cross ‘305E40’ x ‘67/3’ was phenotyped for 20 agronomically relevant traits at two sites. Up to seven quantitative trait loci (QTL) per trait were identified and the percentage of the phenotypic variance (PV) explained per QTL ranged from 4 to 93%. Not all the QTL were detectable at both sites, but for each trait at least one major QTL (PV explained ≥10%) was identified. Although no detectable QTL x environment interaction was found, some QTL identified were location-specific. Many of the fruit-related QTL clustered within specific chromosomal regions, reflecting either linkage and/or pleiotropy. Evidence for putative tomato orthologous QTL/genes was obtained for several of the eggplant QTL. Information regarding the inheritance of key agronomic traits was obtained. Some of the QTL, along with their respective linked markers, may be useful in the context of marker-assisted breeding.
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Affiliation(s)
- Ezio Portis
- DISAFA - Plant Genetics and Breeding, University of Torino, Grugliasco, Torino, Italy
| | - Lorenzo Barchi
- DISAFA - Plant Genetics and Breeding, University of Torino, Grugliasco, Torino, Italy
| | - Laura Toppino
- Consiglio per la Ricerca e Sperimentazione in Agricoltura - CRA-ORL, Research Unit for Vegetable Crops, Montanaso Lombardo, Lodi, Italy
| | - Sergio Lanteri
- DISAFA - Plant Genetics and Breeding, University of Torino, Grugliasco, Torino, Italy
| | - Nazzareno Acciarri
- Consiglio per la Ricerca e Sperimentazione in Agricoltura - CRA-ORA, Research Unit for Vegetable Crops, Monsampolo del Tronto, Ascoli Piceno, Italy
| | - Nazzareno Felicioni
- Consiglio per la Ricerca e Sperimentazione in Agricoltura - CRA-ORA, Research Unit for Vegetable Crops, Monsampolo del Tronto, Ascoli Piceno, Italy
| | - Fabio Fusari
- Consiglio per la Ricerca e Sperimentazione in Agricoltura - CRA-ORA, Research Unit for Vegetable Crops, Monsampolo del Tronto, Ascoli Piceno, Italy
| | - Valeria Barbierato
- Consiglio per la Ricerca e Sperimentazione in Agricoltura - CRA-ORL, Research Unit for Vegetable Crops, Montanaso Lombardo, Lodi, Italy
| | - Fabio Cericola
- DISAFA - Plant Genetics and Breeding, University of Torino, Grugliasco, Torino, Italy
| | - Giampiero Valè
- Consiglio per la Ricerca e Sperimentazione in Agricoltura - CRA-GPG, Genomic Research Centre, Fiorenzuola d'Arda, Piacenza, Italy ; Consiglio per la Ricerca e Sperimentazione in Agricoltura - CRA-RIS, Rice Research Unit, Vercelli, Italy
| | - Giuseppe Leonardo Rotino
- Consiglio per la Ricerca e Sperimentazione in Agricoltura - CRA-ORL, Research Unit for Vegetable Crops, Montanaso Lombardo, Lodi, Italy
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Lindqvist-Kreuze H, Cho K, Portal L, Rodríguez F, Simon R, Mueller LA, Spooner DM, Bonierbale M. Linking the potato genome to the conserved ortholog set (COS) markers. BMC Genet 2013; 14:51. [PMID: 23758607 PMCID: PMC3691714 DOI: 10.1186/1471-2156-14-51] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2013] [Accepted: 06/05/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Conserved ortholog set (COS) markers are an important functional genomics resource that has greatly improved orthology detection in Asterid species. A comprehensive list of these markers is available at Sol Genomics Network (http://solgenomics.net/) and many of these have been placed on the genetic maps of a number of solanaceous species. RESULTS We amplified over 300 COS markers from eight potato accessions involving two diploid landraces of Solanum tuberosum Andigenum group (formerly classified as S. goniocalyx, S. phureja), and a dihaploid clone derived from a modern tetraploid cultivar of S. tuberosum and the wild species S. berthaultii, S. chomatophilum, and S. paucissectum. By BLASTn (Basic Local Alignment Search Tool of the NCBI, National Center for Biotechnology Information) algorithm we mapped the DNA sequences of these markers into the potato genome sequence. Additionally, we mapped a subset of these markers genetically in potato and present a comparison between the physical and genetic locations of these markers in potato and in comparison with the genetic location in tomato. We found that most of the COS markers are single-copy in the reference genome of potato and that the genetic location in tomato and physical location in potato sequence are mostly in agreement. However, we did find some COS markers that are present in multiple copies and those that map in unexpected locations. Sequence comparisons between species show that some of these markers may be paralogs. CONCLUSIONS The sequence-based physical map becomes helpful in identification of markers for traits of interest thereby reducing the number of markers to be tested for applications like marker assisted selection, diversity, and phylogenetic studies.
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Shirasawa K, Hirakawa H. DNA marker applications to molecular genetics and genomics in tomato. BREEDING SCIENCE 2013; 63:21-30. [PMID: 23641178 PMCID: PMC3621441 DOI: 10.1270/jsbbs.63.21] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2012] [Accepted: 08/23/2012] [Indexed: 05/23/2023]
Abstract
Tomato is an important crop and regarded as an experimental model of the Solanaceae family and of fruiting plants in general. To enhance breeding efficiency and advance the field of genetics, tomato has been subjected to DNA marker studies as one of the earliest targets in plants. The developed DNA markers have been applied to the construction of genetic linkage maps and the resultant maps have contributed to quantitative trait locus (QTL) and gene mappings for agronomically important traits, as well as to comparative genomics of Solanaceae. The recently released whole genome sequences of tomato enable us to develop large numbers of DNA markers comparatively easily, and even promote new genotyping methods without DNA markers. In addition, databases for genomes, DNA markers, genetic linkage maps and other omics data, e.g., transcriptome, proteome, metabolome and phenome information, will provide useful information for molecular breeding in tomatoes. The use of DNA marker technologies in conjunction with new breeding techniques will promise to advance tomato breeding.
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27
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Mennella G, Lo Scalzo R, Fibiani M, D'Alessandro A, Francese G, Toppino L, Acciarri N, de Almeida AE, Rotino GL. Chemical and bioactive quality traits during fruit ripening in eggplant (S. melongena L.) and allied species. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2012; 60:11821-31. [PMID: 23134376 DOI: 10.1021/jf3037424] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
A chemical and bioactive quality evaluation of phytochemicals content of 10 eggplant lines and three allied species (S. sodomaeum, S. aethiopicum and S. integrifolium) was performed. The eggplant lines were divided into the two subgroups of delphinidin-3-rutinoside (D3R) and nasunin (NAS) typologies, on the basis of the anthocyanin detected in their fruit skin. The allied species had higher glycoalkaloids content, lower soluble solids and PPO activity and absence of anthocyanins compared to the eggplant lines; S. sodomaeum stood out for high phenols content. Orthogonal contrast revealed a higher sugar content and low PPO activity in NAS- compared to D3R-typologies, whereas higher chlorogenic acid and anthocyanin contents were present in D3R-typologies. The main effect of the ripening was a decrease in phenols and in the PPO activity, not evidenced in S. sodomaeum, and an increase of glycoalkaloids in overripe fruits. A good relationship was found between superoxide anion scavenging capacity and chlorogenic acid. This study highlighted the pattern of accumulation, also evidencing variations, of several phytochemicals during the eggplant fruit development and ripening.
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Affiliation(s)
- Giuseppe Mennella
- Consiglio per la Ricerca e la Sperimentazione in Agricoltura, CRA-ORT Centro di Ricerca per l'Orticoltura, via Cavalleggeri 25, 84098 Pontecagnano-Faiano (Salerno), Italy.
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28
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A RAD tag derived marker based eggplant linkage map and the location of QTLs determining anthocyanin pigmentation. PLoS One 2012; 7:e43740. [PMID: 22912903 PMCID: PMC3422253 DOI: 10.1371/journal.pone.0043740] [Citation(s) in RCA: 98] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2012] [Accepted: 07/23/2012] [Indexed: 11/19/2022] Open
Abstract
Both inter- and intra-specific maps have been developed in eggplant (Solanum melongena L.). The former benefit from an enhanced frequency of marker polymorphism, but their relevance to marker-assisted crop breeding is limited. Combining the restriction-site associated DNA strategy with high throughput sequencing has facilitated the discovery of a large number of functional single nucleotide polymorphism (SNP) markers discriminating between the two eggplant mapping population parental lines '305E40' and '67/3'. A set of 347 de novo SNPs, together with 84 anchoring markers, were applied to the F(2) mapping population bred from the cross '305E40' x '67/3' to construct a linkage map. In all, 415 of the 431 markers were assembled into twelve major and one minor linkage group, spanning 1,390 cM, and the inclusion of established markers allowed each linkage group to be assigned to one of the 12 eggplant chromosomes. The map was then used to discover the genetic basis of seven traits associated with anthocyanin content. Each of the traits proved to be controlled by between one and six quantitative trait loci (QTL), of which at least one was a major QTL. Exploitation of syntenic relationships between the eggplant and tomato genomes facilitated the identification of potential candidate genes for the eggplant QTLs related to anthocyanin accumulation. The intra-specific linkage map should have utility for elucidating the genetic basis of other phenotypic traits in eggplant.
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