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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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Gebhardt C. The historical role of species from the Solanaceae plant family in genetic research. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2016; 129:2281-2294. [PMID: 27744490 PMCID: PMC5121179 DOI: 10.1007/s00122-016-2804-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Accepted: 09/12/2016] [Indexed: 05/20/2023]
Abstract
This article evaluates the main contributions of tomato, tobacco, petunia, potato, pepper and eggplant to classical and molecular plant genetics and genomics since the beginning of the twentieth century. Species from the Solanaceae family form integral parts of human civilizations as food sources and drugs since thousands of years, and, more recently, as ornamentals. Some Solanaceous species were subjects of classical and molecular genetic research over the last 100 years. The tomato was one of the principal models in twentieth century classical genetics and a pacemaker of genome analysis in plants including molecular linkage maps, positional cloning of disease resistance genes and quantitative trait loci (QTL). Besides that, tomato is the model for the genetics of fruit development and composition. Tobacco was the major model used to establish the principals and methods of plant somatic cell genetics including in vitro propagation of cells and tissues, totipotency of somatic cells, doubled haploid production and genetic transformation. Petunia was a model for elucidating the biochemical and genetic basis of flower color and development. The cultivated potato is the economically most important Solanaceous plant and ranks third after wheat and rice as one of the world's great food crops. Potato is the model for studying the genetic basis of tuber development. Molecular genetics and genomics of potato, in particular association genetics, made valuable contributions to the genetic dissection of complex agronomic traits and the development of diagnostic markers for breeding applications. Pepper and eggplant are horticultural crops of worldwide relevance. Genetic and genomic research in pepper and eggplant mostly followed the tomato model. Comparative genome analysis of tomato, potato, pepper and eggplant contributed to the understanding of plant genome evolution.
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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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Cericola F, Portis E, Lanteri S, Toppino L, Barchi L, Acciarri N, Pulcini L, Sala T, Rotino GL. Linkage disequilibrium and genome-wide association analysis for anthocyanin pigmentation and fruit color in eggplant. BMC Genomics 2014; 15:896. [PMID: 25311640 PMCID: PMC4210512 DOI: 10.1186/1471-2164-15-896] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Accepted: 10/06/2014] [Indexed: 11/26/2022] Open
Abstract
Background The genome-wide association (GWA) approach represents an alternative to biparental linkage mapping for determining the genetic basis of trait variation. Both approaches rely on recombination to re-arrange the genome, and seek to establish correlations between phenotype and genotype. The major advantages of GWA lie in being able to sample a much wider range of the phenotypic and genotypic variation present, in being able to exploit multiple rounds of historical recombination in many different lineages and to include multiple accessions of direct relevance to crop improvement. Results A 191 accessions eggplant (Solanum melongena L.) association panel, comprising a mixture of breeding lines, old varieties and landrace selections originating from Asia and the Mediterranean Basin, was SNP genotyped and scored for anthocyanin pigmentation and fruit color at two locations over two years. The panel formed two major clusters, reflecting geographical provenance and fruit type. The global level of linkage disequilibrium was 3.4 cM. A mixed linear model appeared to be the most appropriate for GWA. A set of 56 SNP locus/phenotype associations was identified and the genomic regions harboring these loci were distributed over nine of the 12 eggplant chromosomes. The associations were compared with the location of known QTL for the same traits. Conclusion The GWA mapping approach was effective in validating a number of established QTL and, thanks to the wide diversity captured by the panel, was able to detect a series of novel marker/trait associations. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-896) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Ezio Portis
- Dipartimento di Scienze Agrarie, Forestali e Alimentari (DISAFA) - Plant Genetics and Breeding, University of Torino, Largo P, Braccini 2, I-10095 Grugliasco, Torino, Italy.
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