Evidence map›Paper›PMID 29619230›Full record

ArticleHorticulture research2018

The grapevine kinome: annotation, classification and expression patterns in developmental processes and stress responses.

Kaikai Zhu, Xiaolong Wang, Jinyi Liu, Jun Tang, Qunkang Cheng, Jin-Gui Chen, Zong-Ming Max Cheng

Open access · goldAbstract read
In one paragraph

Article in Horticulture research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 52 citations in OpenAlex.

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  5. Trends in the evolution of intronless genes inFrontiers in plant science · 2023
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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

7 authors at 4 institutions in 2 countries.

Kaikai Zhu1College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095 China.
Xiaolong Wang1College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095 China.
Jinyi Liu1College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095 China.
Jun Tang3Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Institute of Horticulture, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu 210014 China.ORCID 0000-0002-8290-2459
Qunkang Cheng4Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN 37996 USA.
Jin-Gui Chen5Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831 USA.ORCID 0000-0002-1752-4201
Zong-Ming Max Cheng1College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095 China.
Nanjing Agricultural University · CNJiangsu Academy of Agricultural Sciences · CNOak Ridge National Laboratory · USUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein kinases (PKs) have evolved as the largest family of molecular switches that regulate protein activities associated with almost all essential cellular functions. Only a fraction of plant PKs, however, have been functionally characterized even in model plant species. In the present study, the entire grapevine kinome was identified and annotated using the most recent version of the grapevine genome. A total of 1168 PK-encoding genes were identified and classified into 20 groups and 121 families, with the RLK-Pelle group being the largest, with 872 members. The 1168 kinase genes were unevenly distributed over all 19 chromosomes, and both tandem and segmental duplications contributed to the expansion of the grapevine kinome, especially of the RLK-Pelle group.

Identifiers

PMID29619230
PMCPMC5878832
OpenAlexW2806970499

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.