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Geographical and Cultivar Features Differentiate Grape Microbiota in Northern Italy and Spain Vineyards

Overview of attention for article published in Frontiers in Microbiology, May 2018
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Geographical and Cultivar Features Differentiate Grape Microbiota in Northern Italy and Spain Vineyards
Published in
Frontiers in Microbiology, May 2018
DOI 10.3389/fmicb.2018.00946
Pubmed ID
Authors

Valerio Mezzasalma, Anna Sandionigi, Lorenzo Guzzetti, Andrea Galimberti, Maria S. Grando, Javier Tardaguila, Massimo Labra

Abstract

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 26%
Student > Ph. D. Student 19 12%
Student > Master 13 8%
Student > Doctoral Student 13 8%
Student > Bachelor 8 5%
Other 22 14%
Unknown 39 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 38%
Biochemistry, Genetics and Molecular Biology 19 12%
Environmental Science 9 6%
Immunology and Microbiology 4 3%
Medicine and Dentistry 4 3%
Other 15 10%
Unknown 44 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2018.
All research outputs
#6,429,662
of 23,088,369 outputs
Outputs from Frontiers in Microbiology
#6,470
of 25,250 outputs
Outputs of similar age
#112,111
of 327,012 outputs
Outputs of similar age from Frontiers in Microbiology
#213
of 617 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 25,250 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 617 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.