Giovanni Broggini

Last Name

Broggini

First Name

Giovanni

ORCID

0000-0002-1011-4090

Organisational unit

03969 - Studer, Bruno / Studer, Bruno

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Publications 1 - 10 of 97

Generation of advanced fire blight-resistant apple (Malus × domestica) selections of the fifth generation within 7 years of applying the early flowering approach
Schlathölter, Ina; Jänsch, Melanie; Flachowsky, Henryk; et al. (2018)
Planta
The approach presented here can be applied to reduce the time needed to introduce traits from wild apples into null segregant advanced selections by one-fourth. Interesting traits like resistances to pathogens are often found within the wild apple gene pool. However, the long juvenile phase of apple seedlings hampers the rapid introduction of these traits into new cultivars. The rapid crop cycle breeding approach used in this paper is based on the overexpression of the birch (Betula pendula) MADS4 transcription factor in apple. Using the early flowering line T1190 and ‘Evereste’ as source of the fire blight resistance (Fb_E locus), we successfully established 18 advanced selections of the fifth generation in the greenhouse within 7 years. Fifteen individuals showed the habitus expected of a regular apple seedling, while three showed very short internodes. The null segregants possessing a regular habitus maintained the high level of fire blight resistance typical for ‘Evereste’. Using SSR markers, we estimated the percentage of genetic drag from ‘Evereste’ still associated with Fb_E on linkage group 12 (LG12). Eight out of the 18 selections had only 4% of ‘Evereste’ genome left. Since genotypes carrying the apple scab resistance gene Rvi6 and the fire blight resistance QTL Fb_F7 were used as parents in the course of the experiments, these resistances were also identified in some of the null segregants. One seedling is particularly interesting as, beside Fb_E, it also carries Fb_F7 heterozygously and Rvi6 homozygously. If null segregants obtained using this method will be considered as not genetically modified in Europe, as is already the case in the USA, this genotype could be a very promising parent for breeding new fire blight and scab-resistant apple cultivars in European apple breeding programs.
Identification of serine/threonine kinase and nucleotide-binding site-leucine-rich repeat (NBS-LRR) genes in the fire blight resistance quantitative trait locus of apple cultivar 'Evereste'
Parravicini, Gabriella; Gessler, Cesare; Denance, Caroline; et al. (2011)
Molecular Plant Pathology
Mapping of the apple scab-resistance gene Vb
Erdin, N.; Tartarini, Stefano; Broggini, Giovanni; et al. (2006)
Genome
A method for transgene-free genome editing in apple using cell-penetrating peptides
Ohnmacht, Jonathan; Studer, Bruno; Broggini, Giovanni (2025)
Bulletin SGPW/SSA
For apple (Malus domestica Borkh.), a wide variety of cultivars exists but only a few meet the high expectations of producers, consumers and retailers. Crossbreeding of apple leads to a reshuffling of cultivar characteristics, rendering the breeding process laborious when introducing favorable traits into a commercially established apple cultivar. Targeted mutagenesis could enhance existing cultivars by disrupting gene function through knockout mutations or by allele replacement. Genome editing with CRISPR/Cas allows for sequence-specific mutation but typically relies on the genomic integration of transgenes encoding the Cas protein and guide RNA. In contrast to integrating transgenes, genome editing components can be delivered into cells as plasmid DNA or as a pre-assembled ribonucleoprotein (RNP), which include Cas protein and guide RNA. Regeneration of plants from the transfected single cells with RNP or plasmid DNA would enable transgene-free genome editing applications. However, there is a trade-off between transfection efficiency and the ability to regenerate apple plants from single cells. Apple cells without a cell wall are readily transfected but fail to regenerate into plantlets, whereas single cells with a cell wall regenerate into apple plantlets but are challenging to transfect. To overcome these limitations, cell-penetrating peptides can be employed to transport cargo molecules into plant cells with a cell wall. We tested the ability of a newly engineered CPP (dTAT-Sar-EED4) to transfect apple single cells containing a cell wall with fluorescent RNP. Single cells treated with the CPP-RNP complex exhibited fluorescent signals inside the cells, unlike cells treated only with fluorescent RNP. Combined with regeneration protocols, CPP-mediated single cell transfection presents a promising method for achieving transgene-free genome editing in apple. This approach has the potential to enhance existing apple cultivars by improving beneficial traits for producers, consumers and retailers.
Neue genomische Techniken für dauerhafte Krankenresistenz bei Apfel und Rebe
Broggini, Giovanni (2025)
Nachhaltiger Pflanzenschutz. Fachtagung Dialog Grün 2025. Tagungsband
Krankheitsresistenz ist einer der Grundpfeiler eines nachhaltigen Pflanzenschutzes. Besonders bei mehrjährigen Kulturen wie der Rebe und dem Apfel können resistente Sorten helfen, den Einsatz von Pflanzenschutzmitteln zu reduzieren. Die Züchtung von krankheitsresistenten Apfel- und Rebsorten ist aufgrund der biologischen Eigenschaften dieser Pflanzen und der hohen Anforderungen an die Qualität der Endprodukte sehr herausfordernd. Neue Sorten aus konventionellen Züchtungsprogrammen haben es am Markt oft schwerer als etablierte, aber anfällige Sorten. Mit neuen genomischen Techniken (NGT) können bestehende und am Markt gut etablierte Sorten gezielt resistenter gemacht werden. Dafür ist es notwendig, die spezifischen Genomabschnitte zu kennen, die für die Resistenz verantwortlich sind, und Methoden zu haben, um gezielte Genomveränderungen vorzunehmen. Zudem müssen aus den einzelnen veränderten Zellen ganze Pflanzen regeneriert werden können. Die daraus entstehenden Pflanzen sollen bestimmte regulatorische Anforderungen erfüllen, wie z.B. die Abwesenheit von transgenen Erbmaterial. Dies könnte ihren Anbau durch ein geplantes Spezialgesetz erlauben. Mehrere laufende Projekte, darunter eines im Rahmen des NFP84, zielen darauf ab, Wissens- und methodologische Lücken für die Anwendung von NGT zu schliessen. Dazu gehören zum Beispiel genetische Studien zur Identifizierung von Resistenzen gegen Mehltau bei Rebsorten oder gegen wichtige Krankheiten wie Feuerbrand, Schorf oder die neu auftretende Blattfallkrankheit bei Apfelsorten. Ausserdem werden molekulare Wirt-Pathogen-Interaktionen untersucht und deren Manipulation für dauerhafte Resistenz erforscht. Die Effizienz bei Genomveränderungen mit dem CRISPR-Cas-System und die Regeneration von Apfelpflanzen aus genomveränderten Zellen werden ebenfalls verbessert. Das gewonnene Wissen und die entwickelten Methoden werden die Möglichkeiten für die Entwicklung resistenter Sorten durch NGT-Ansätze erweitern und gleichzeitig wertvolle Erkenntnisse für dauerhafte Krankheitsresistenz liefern. Das Ziel ist, die Erwartungen an Produktqualität mit einer nachhaltigeren Produktion von mehrjährigen Kulturen wie Apfel und Rebe zu vereinen.
Virulence Characterization of Venturia inaequatis Reference Isolates on the Differential Set of Malus Hosts
Caffier, Valerie; Patocchi, Andrea; Expert, Pascale; et al. (2015)
Plant Disease
Integrative multi-environmental genomic prediction in apple
Jung, Michaela; Quesada-Traver, Carles; Roth, Morgane; et al. (2025)
Horticulture Research
Genomic prediction for multiple environments can aid the selection of genotypes suited to specific soil and climate conditions. Methodological advances allow effective integration of phenotypic, genomic (additive, non-additive), and large-scale environmental (enviromic) data into multi-environmental genomic prediction models. These models can also account for genotype-by-environment interaction, utilize alternative relationship matrices (kernels), or substitute statistical approaches with deep learning. However, the application of multi-environmental genomic prediction in apple remained limited, likely due to the challenge of building multi-environmental datasets and structurally complex models. Here, we applied efficient statistical and deep learning models for multi-environmental genomic prediction of eleven apple traits with contrasting genetic architectures by integrating genomic- and enviromic-based model components. Incorporating genotype-by-environment interaction effects into statistical models improved predictive ability by up to 0.08 for nine traits compared to the benchmark model. This outcome, based on Gaussian and Deep kernels, shows these alternatives can effectively substitute the standard G-BLUP. Including non-additive and enviromic-based effects resulted in a predictive ability very similar to the benchmark model. The deep learning approach achieved the highest predictive ability for three traits with oligogenic genetic architectures, outperforming the benchmark by up to 0.10. Our results demonstrate that the tested statistical models capture genotype-by-environment interactions particularly well, and the deep learning models efficiently integrate data from diverse sources. This study will foster the adoption of multi-environmental genomic prediction to select apple cultivars adapted to diverse environmental conditions, providing an opportunity to address climate change impacts.
Phenotypic characterization of the Rvi15 (Vr2) apple scab resistance
Galli, Paolo; Broggini, Giovanni; Gessler, Cesare; et al. (2010)
Journal of Plant Pathology
Implementation of genome editing for apple breeding
Stähli, David; Bull, Simon; Studer, Bruno; et al. (2019)
Book of Abstracts: 1st PlantEd Conference Plant Genome Editing - State of the Art
Züchtung feuerbrandrobuster Apfelsorten
Kellerhals, Markus; Schuetz, Simone; Baumgartner, Isabelle O.; et al. (2014)
Agrarforschung Schweiz

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Giovanni Broggini

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