Evidence map›Paper›PMID 37841503›Full record

ArticleHorticulture research2023

Transcriptomic and genetic approaches reveal that low-light-induced disease susceptibility is related to cellular oxidative stress in tomato.

Qian Luo, Jiao Wang, Ping Wang, Xiao Liang, Jianxin Li, Changqi Wu, Hanmo Fang, Shuting Ding, Shujun Shao, Kai Shi

Open access · goldAbstract read
In one paragraph

Article in Horticulture research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.0field-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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Plant signaling & behavior · 2024
    Article
  5. Article
  6. Review
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

10 authors at 1 institution in 1 country.

Qian LuoDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Jiao WangDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Ping WangDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Xiao LiangDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Jianxin LiDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Changqi WuDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Hanmo FangDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Shuting DingDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Shujun ShaoDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Kai ShiDepartment of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of low light intensities on plant disease outbreaks represents a major challenge for global crop security, as it frequently results in significant yield losses. However, the underlying mechanisms of the effect of low light on plant defense are still poorly understood. Here, using an RNA-seq approach, we found that the susceptibility of tomato to

Identifiers

PMID37841503
PMCPMC10569241
OpenAlexW4386294089

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.