PMID- 29867854
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 1664-302X (Print)
IS  - 1664-302X (Electronic)
IS  - 1664-302X (Linking)
VI  - 9
DP  - 2018
TI  - Geographical and Cultivar Features Differentiate Grape Microbiota in Northern 
      Italy and Spain Vineyards.
PG  - 946
LID - 10.3389/fmicb.2018.00946 [doi]
LID - 946
AB  - Recent studies have highlighted the role of the grapevine microbiome in 
      addressing a wide panel of features, ranging from the signature of field origin 
      to wine quality. Although the influence of cultivar and vineyard environmental 
      conditions in shaping the grape microbiome have already been ascertained, several 
      aspects related to this topic, deserve to be further investigated. In this study, 
      we selected three international diffused grapevine cultivars (Cabernet Sauvignon, 
      Syrah, and Sauvignon Blanc) at three germplasm collections characterized by 
      different climatic conditions [Northern Italy (NI), Italian Alps (AI), and 
      Northern Spain (NS)]. The soil and grape microbiome was characterized by 16s rRNA 
      High Throughput Sequencing (HTS), and the obtained results showed that all grape 
      samples shared some bacterial taxa, regardless of sampling locality (e.g., 
      Bacillus, Methylobacterium, Sphingomonas, and other genera belonging to 
      Alphaproteobacteria, Gammaproteobacteria, and Actinobacteria). However, some 
      Operational Taxonomic Units (OTUs) could act as geographical signatures and in 
      some cases as cultivar fingerprint. Concerning the origin of the grape 
      microbiome, our study confirms that vineyard soil represents a primary reservoir 
      for grape associated bacteria with almost 60% of genera shared between the soil 
      and grape. At each locality, grapevine cultivars shared a core of bacterial 
      genera belonging to the vineyard soil, as well as from other local biodiversity 
      elements such as arthropods inhabiting or foraging in the vineyard. Finally, a 
      machine learning analysis showed that it was possible to predict the geographical 
      origin and cultivar of grape starting from its microbiome composition with a high 
      accuracy (9 cases out of 12 tested samples). Overall, these findings open new 
      perspectives for the development of more comprehensive and integrated research 
      activities to test which environmental variables have an effective role in 
      shaping the microbiome composition and dynamics of cultivated species over time 
      and space.
FAU - Mezzasalma, Valerio
AU  - Mezzasalma V
AD  - Zooplantlab, Department of Biotechnology and Biosciences, University of 
      Milano-Bicocca, Milan, Italy.
FAU - Sandionigi, Anna
AU  - Sandionigi A
AD  - Zooplantlab, Department of Biotechnology and Biosciences, University of 
      Milano-Bicocca, Milan, Italy.
FAU - Guzzetti, Lorenzo
AU  - Guzzetti L
AD  - Zooplantlab, Department of Biotechnology and Biosciences, University of 
      Milano-Bicocca, Milan, Italy.
FAU - Galimberti, Andrea
AU  - Galimberti A
AD  - Zooplantlab, Department of Biotechnology and Biosciences, University of 
      Milano-Bicocca, Milan, Italy.
AD  - BEST4FOOD, University of Milano-Bicocca, Milan, Italy.
FAU - Grando, Maria S
AU  - Grando MS
AD  - Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, 
      Italy.
AD  - Center Agriculture Food Environment (C3A), University of Trento, San Michele 
      all'Adige, Italy.
FAU - Tardaguila, Javier
AU  - Tardaguila J
AD  - Instituto de Ciencias de la Vid y del Vino, University of La Rioja, CSIC, Rioja 
      Regional Government, Logrono, Spain.
FAU - Labra, Massimo
AU  - Labra M
AD  - Zooplantlab, Department of Biotechnology and Biosciences, University of 
      Milano-Bicocca, Milan, Italy.
AD  - BEST4FOOD, University of Milano-Bicocca, Milan, Italy.
LA  - eng
PT  - Journal Article
DEP - 20180515
PL  - Switzerland
TA  - Front Microbiol
JT  - Frontiers in microbiology
JID - 101548977
PMC - PMC5962658
OTO - NOTNLM
OT  - Vitis vinifera
OT  - fruit microbiome
OT  - high throughput sequencing
OT  - soil microbiome
OT  - wine
EDAT- 2018/06/06 06:00
MHDA- 2018/06/06 06:01
PMCR- 2018/05/15
CRDT- 2018/06/06 06:00
PHST- 2018/02/20 00:00 [received]
PHST- 2018/04/23 00:00 [accepted]
PHST- 2018/06/06 06:00 [entrez]
PHST- 2018/06/06 06:00 [pubmed]
PHST- 2018/06/06 06:01 [medline]
PHST- 2018/05/15 00:00 [pmc-release]
AID - 10.3389/fmicb.2018.00946 [doi]
PST - epublish
SO  - Front Microbiol. 2018 May 15;9:946. doi: 10.3389/fmicb.2018.00946. eCollection 
      2018.