Evidence map›Paper›PMID 33116351›Full record

ArticleEvolutionary bioinformatics online2020

Vesicle Transport in Plants: A Revised Phylogeny of SNARE Proteins.

Xiaoyan Gu, Adrian Brennan, Wenbin Wei, Guangqin Guo, Keith Lindsey

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

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  9. Review
  10. Genome-Wide Analysis of the SNARE Family in Cultivated Peanut (International journal of molecular sciences · 2023
    Article
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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

5 authors at 2 institutions in 2 countries.

Xiaoyan GuMinistry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China.
Adrian BrennanDepartment of Biosciences, Durham University, Durham, UK.ORCID https://orcid.org/0000-0002-8171-769X
Wenbin WeiDepartment of Biosciences, Durham University, Durham, UK.ORCID https://orcid.org/0000-0003-1288-6999
Guangqin GuoMinistry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China.
Keith LindseyDepartment of Biosciences, Durham University, Durham, UK.ORCID https://orcid.org/0000-0002-7992-6804
Durham University · GBLanzhou University · CN

Funding

Biotechnology and Biological Sciences Research Council BBS/B/0773X
6 · The paper itself

Abstract

Communication systems within and between plant cells involve the transfer of ions and molecules between compartments, and are essential for development and responses to biotic and abiotic stresses. This in turn requires the regulated movement and fusion of membrane systems with their associated cargo. Recent advances in genomics has provided new resources with which to investigate the evolutionary relationships between membrane proteins across plant species. Members of the soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs) are known to play important roles in vesicle trafficking across plant, animal and microbial species. Using recent public expression and transcriptomic data from 9 representative green plants, we investigated the evolution of the SNARE classes and linked protein changes to functional specialization (expression patterns). We identified an additional 3 putative SNARE genes in the model plant

Indexed as

Arabidopsis thalianamembrane fusionphylogeneticsSNAREsvesicle traffickingViridiplantae

Identifiers

PMID33116351
PMCPMC7573729
OpenAlexW3093064132

What Socratic 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 Socratic graph.