Evidence map›Paper›PMID 35847061›Full record

ArticleFrontiers in microbiology2022

Diversity and Dynamics of Epidermal Microbes During Grape Development of Cabernet Sauvignon (

Ru-Teng Wei, Ning Chen, Yin-Ting Ding, Lin Wang, Fei-Fei Gao, Liang Zhang, Yi-Hui Liu, Hua Li, Hua Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Vineyard practices reduce the incidence ofFrontiers in microbiology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ru-Teng WeiCollege of Enology, Northwest A&F University, Xianyang, China.
Ning ChenCollege of Enology, Northwest A&F University, Xianyang, China.
Yin-Ting DingCollege of Enology, Northwest A&F University, Xianyang, China.
Lin WangCollege of Enology, Northwest A&F University, Xianyang, China.
Fei-Fei GaoCollege of Enology, Northwest A&F University, Xianyang, China.
Liang ZhangCollege of Enology, Northwest A&F University, Xianyang, China.
Yi-Hui LiuCollege of Enology, Northwest A&F University, Xianyang, China.
Hua LiCollege of Enology, Northwest A&F University, Xianyang, China.
Hua WangCollege of Enology, Northwest A&F University, Xianyang, China.
Northwest A&F University · CNNorthwest Institute of Mechanical and Electrical Engineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grapevine-related microorganisms affect the health and yield of grapes, the metabolic pathways of the fermentation process, and the regional characteristics of wine. However, the diversity of epidermal microorganisms during the development of berries under the ecological viticulture model has not been described in detail. In this study, high-throughput amplicon sequencing technology was used to perform ITS and 16S sequencing of Cabernet Sauvignon epidermal microbes at different developmental stages in the Wuhai region to investigate the succession of epidermal microbes and their response to developmental stages and vineyard weather. The results showed that the diversity of fungi and bacteria decreased during development. Epidermal microorganisms recruited members according to their developmental stages, but retained the core taxa, such as the fungi genera

Indexed as

developmental stageecological viticulturegrapehigh throughput sequencingmicrobial diversityvineyard weather

Identifiers

PMID35847061
PMCPMC9280189
OpenAlexW4283731957

What OpenQuestion holds

Textmetadata
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.