Ilaria Bruni

Dr. Ilaria Bruni

ZooPlantLab, Department of Biotechnology and Biosciences, University of Milano-Bicocca, P.za Della Scienza 2, I-20126 Milan, Italy
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2013 in Food Research International
Verified
Journal Article
Closed access
Andrea  GalimbertiAndrea Galimberti
Andrea Galimberti
FMFabrizio De Mattia
Fabrizio De Mattia
ALAlessia Losa
Alessia Losa
IBIlaria Bruni
Ilaria Bruni
SFSilvia Federici
Silvia Federici
MLMassimo Labra
Massimo Labra

1 August 2014 in Journal of Plant Physiology
Verified
Journal Article
Closed access
CVCandida Vannini
Candida Vannini
Guido DomingoGuido Domingo
Guido Domingo
EOElisabetta Onelli
Elisabetta Onelli
FMFabrizio De Mattia
Fabrizio De Mattia
IBIlaria Bruni
Ilaria Bruni
MBMarcella Bracale
Marcella Bracale

1 March 2015 in Food Chemistry
Verified
Journal Article
Closed access
IBIlaria Bruni
Ilaria Bruni
Andrea  GalimbertiAndrea Galimberti
Andrea Galimberti
LCL. Caridi
L. Caridi
DSD. Scaccabarozzi
D. Scaccabarozzi
FMF. De Mattia
F. De Mattia
MLMassimo Labra
Massimo Labra

8 October 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
Andrea  GalimbertiAndrea Galimberti
Andrea Galimberti
FMFabrizio De Mattia
Fabrizio De Mattia
IBIlaria Bruni
Ilaria Bruni
DSDaniela Scaccabarozzi
Daniela Scaccabarozzi
ASAnna Sandionigi
Anna Sandionigi
MLMassimo Labra
Massimo Labra
In the present study, we investigated DNA barcoding effectiveness to characterize honeybee pollen pellets, a food supplement largely used for human nutrition due to its therapeutic properties. We collected pollen pellets using modified beehives placed in three zones within an alpine protected area (Grigna Settentrionale Regional Park, Italy). A DNA barcoding reference database, including rbcL and trnH-psbA sequences from 693 plant species (104 sequenced in this study) was assembled. The database was used to identify pollen collected from the hives. Fifty-two plant species were identified at the molecular level. Results suggested rbcL alone could not distinguish among congeneric plants; however, psbA-trnH identified most of the pollen samples at the species level. Substantial variability in pollen composition was observed between the highest elevation locality (Alpe Moconodeno), characterized by arid grasslands and a rocky substrate, and the other two sites (Cornisella and Ortanella) at lower altitudes. Pollen from Ortanella and Cornisella showed the presence of typical deciduous forest species; however in samples collected at Ortanella, pollen of the invasive Lonicera japonica, and the ornamental Pelargonium x hortorum were observed. Our results indicated pollen composition was largely influenced by floristic local biodiversity, plant phenology, and the presence of alien flowering species. Therefore, pollen molecular characterization based on DNA barcoding might serve useful to beekeepers in obtaining honeybee products with specific nutritional or therapeutic characteristics desired by food market demands.

1 April 2011 in Food Research International
Verified
Journal Article
Closed access
FMFabrizio De Mattia
Fabrizio De Mattia
IBIlaria Bruni
Ilaria Bruni
Andrea  GalimbertiAndrea Galimberti
Andrea Galimberti
FCFrancesca Cattaneo
Francesca Cattaneo
MCMaurizio Casiraghi
Maurizio Casiraghi
MLMassimo Labra
Massimo Labra

11 September 2017 in PLOS ONE
Verified
Journal Article
Open access
PDF file
VMvalerio mezzasalma
valerio mezzasalma
ASAnna Sandionigi
Anna Sandionigi
IBIlaria Bruni
Ilaria Bruni
Antonia BrunoAntonia Bruno
Antonia Bruno
GLGianni Lovicu
Gianni Lovicu
MLMassimo Labra
Massimo Labra
Grape berries harbor a wide range of microbes originating from the vineyard environment, many of which are recognized for their role in the must fermentation process shaping wine quality. To better clarify the contribution of the microbiome of grape fruits during wine fermentation, we used high-throughput sequencing to identify bacterial and fungi communities associated with berries and musts of Cannonau. This is the most important cultivar-wine of Sardinia (Italy) where most vineyards are cultivated without phytochemical treatments. Results suggested that microbiomes of berries collected at four different localities share a core composition characterized by Enterobacteriales, Pseudomonadales, Bacillales, and Rhodospirillales. However, any area seems to enrich berries microbiome with peculiar microbial traits. For example, berries belonging to the biodynamic vineyards of Mamoiada were rich in Bacillales typical of manure (i.e. Lysinibacillus, Bacillus, and Sporosarcina), whereas in the Santadi locality, berries showed soil bacteria such as Pasteurellales and Bacteroidales as well as Rhodospirillales and Lactobacillales which are commonly involved in wine fermentation. In the case of fungi, the most abundant taxa were Dothioraceae, Pleosporaceae, and Saccharomycodaceae, and although the proportion of these families varied among localities, they occurred ubiquitously in all vineyards. During vinification processes performed at the same wine cellar under controlled conditions and without using any yeast starter, more than 50% of bacteria groups of berries reached musts, and each locality had its own private bacteria signature, even if Saccharomyces cerevisiae represented the most abundant fungal species. This work suggests that natural berries microbiome could be influenced by pedoclimatic and anthropologic conditions (e.g., farming management), and the fruits’ microorganisms persist during the fermentation process. For these reasons, a reliable wine genotyping should include the entire holobiont (plant and all its symbionts), and bioprospecting activities on grape microbiota could lead to improved viticulture yields and wine quality.