Evidence map›Paper›PMID 36292788›Full record

ArticleGenes2022

Comparative Biochemical and Transcriptomic Analyses Provide New Insights into Phytoplasma Infection Responses in Cucumber.

Xueting Wang, Qiming Hu, Jiaxi Wang, Lina Lou, Xuewen Xu, Xuehao Chen

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Dual RNA-seq reveals the global transcriptome ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
  3. Biology · 2024
    Article
  4. 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 at 2 institutions in 1 country.

Xueting WangSchool of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.
Qiming HuSchool of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.
Jiaxi WangSchool of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.
Lina LouJiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Institute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.
Xuewen XuSchool of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.
Xuehao ChenSchool of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-5834-8750
Yangzhou University · CNJiangsu Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flat stem and witches' broom phytoplasma-like symptoms in the cucumber inbred line C17 were observed in a greenhouse at Yangzhou University, China for three consecutive planting seasons; these symptoms resulted in a decreased yield. To better understand the cause of these symptoms, 16S rRNA PCR, plant hormones, mineral elements, and RNA-seq profiling were performed using symptomatic and normal stem samples. The results showed that the causal agent was classified as the

Indexed as

Cucumis sativusPhytoplasmaCalciumEthylenesHumansIndoleacetic AcidsIronMagnesiumPhenylalaninePhylogenyPhytoplasma DiseasePlant DiseasesPlant Growth RegulatorsPlantsRNA, Ribosomal, 16SSalicylic AcidCalciumEthylenesIndoleacetic AcidsIronMagnesiumPhenylalaninePlant Growth RegulatorsRNA, Ribosomal, 16SSalicylic AcidSodiumZinccucumberflat stemmineralsphytoplasmasplant hormonesRNA-seq

Identifiers

PMID36292788
PMCPMC9602156
OpenAlexW4306836129

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.