Evidence map›Paper›PMID 31635111›Full record

ArticleMicroorganisms2019

Rapid Bacterial Community Changes during Vermicomposting of Grape Marc Derived from Red Winemaking.

María Gómez Brandón, Manuel Aira, Allison R Kolbe, Nariane de Andrade, Marcos Pérez-Losada, Jorge Domínguez

Abstract read
In one paragraph

Article in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Foods (Basel, Switzerland) · 2020
    Review
  7. Article
  8. 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

6 authors.

María Gómez BrandónGrupo de Ecoloxía Animal (GEA), Universidade de Vigo, E-36310 Vigo, Spain. mariagomez@uvigo.es.
Manuel AiraGrupo de Ecoloxía Animal (GEA), Universidade de Vigo, E-36310 Vigo, Spain. aira@uvigo.es.
Allison R KolbeComputational Biology Institute, Milken Institute School of Public Health, George Washington University, Ashburn, VA 20147, USA. akolbe@email.gwu.edu.
Nariane de AndradeDepartamento de Solos, Universidade Federal de Santa María, CEP: 97105-900 Santa María, Río Grande do Sul, Brasil. narianedeandrade@hotmail.com.
Marcos Pérez-LosadaComputational Biology Institute, Milken Institute School of Public Health, George Washington University, Ashburn, VA 20147, USA. mlosada323@gmail.com.ORCID 0000-0002-2585-4657
Jorge DomínguezGrupo de Ecoloxía Animal (GEA), Universidade de Vigo, E-36310 Vigo, Spain. jdguez@uvigo.es.ORCID 0000-0002-4313-8582

Funding

Ministerio de Economía y Competitividad AGL2017-86813-RMinisterio de Economía y Competitividad CTM2013-42540-RMinisterio de Economía y Competitividad RYC-2016-21231Xunta de Galicia ED431B2016/043Xunta de Galicia ED431B 2017/04Xunta de Galicia ED431F 2018/05
6 · The paper itself

Abstract

Previous studies dealing with changes in microbial communities during vermicomposting were mostly performed at lab-scale conditions and by using low-throughput techniques. Therefore, we sought to characterize the bacterial succession during the vermicomposting of grape marc over a period of 91 days in a pilot-scale vermireactor. Samples were taken at the initiation of vermicomposting, and days 14, 28, 42, and 91, representing both active and mature stages of vermicomposting. By using 16S rRNA high-throughput sequencing, significant changes in the bacterial community composition of grape marc were found after 14 days and throughout the process (

Indexed as

bacterial successioncore microbiomeearthwormsmicrobial communitiesvermicompostwinery wastes

Identifiers

PMID31635111
PMCPMC6843324

What OpenQuestion holds

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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.