Evidence map›Paper›PMID 28357290›Full record

ArticleMicrobial cell (Graz, Austria)2015

Understanding grapevine-microbiome interactions: implications for viticulture industry.

Iratxe Zarraonaindia, Jack A Gilbert

Abstract readComment
In one paragraph

Article in Microbial cell (Graz, Austria), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Bark and Grape Microbiome ofFrontiers in microbiology · 2018
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Iratxe ZarraonaindiaArgonne National Laboratory, Institute for Genomic and Systems Biology, Argonne, Illinois, USA. ; Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa (Bizkaia), Spain.
Jack A GilbertDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois, USA. ; Department of Surgery, University of Chicago, Chicago, Illinois, USA. ; Marine Biological Laboratory, Woods Hole, Massachusetts, USA. ; College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until recently, the analysis of complex communities such as that of the grapevine-microbe holobiont has been limited by the fact that most microbes are not culturable under laboratory conditions (less than 1%). However, metagenomics, the study of the genetic material recovered directly from environmental samples without the need for enrichment or of culturing, has led to open an unprecedented era in the field of microbiology. Importantly, this technological advance has now become so pervasive that it is being regularly applied to explore soils and plants of agricultural interest. Interestingly, many large companies are taking notice, with significant financial investment being used to exploring ways to manipulate the productivity, disease resistance and stress tolerance for crops by influencing the microbiome. To understand which microbes one needs to manipulate to influence this valuable characteristics, we need to sequence the microbiome and capture the genetic and hence functional metabolic information contained therein. For viticulture and other agricultural fields where the crop is also associated to particular flavor properties that may also be manipulated, understanding how the bacteria, fungi and viruses influence the development and hence chemical makeup of the crop is essential.

Indexed as

biotechnological applicationsMerlot microbiome holobiontTerroir

Identifiers

PMID28357290
PMCPMC5349240

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.