Evidence map›Paper›PMID 32939512›Full record

ReviewGlobal medical genetics2020

Advances in Transcriptomics in the Response to Stress in Plants.

Xiaojuan Wang, Na Li, Wei Li, Xinlei Gao, Muha Cha, Lijin Qin, Lihong Liu

Abstract readReview
In one paragraph

Review in Global medical genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. Editorial:Acta biochimica Polonica · 2025
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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.

Xiaojuan WangChiFeng University, Hongshan, Chifeng, Inner Mongolia, People's Republic of China.
Na LiInner Mongolia Academy of Forestry Sciences, Inner Mongolia, Saihan, People's Republic of China.
Wei LiChiFeng University, Hongshan, Chifeng, Inner Mongolia, People's Republic of China.
Xinlei GaoChiFeng University, Hongshan, Chifeng, Inner Mongolia, People's Republic of China.
Muha ChaChiFeng University, Hongshan, Chifeng, Inner Mongolia, People's Republic of China.
Lijin QinChiFeng University, Hongshan, Chifeng, Inner Mongolia, People's Republic of China.
Lihong LiuChiFeng University, Hongshan, Chifeng, Inner Mongolia, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse stress influences the normal growth and development of plants. With the development of molecular biology technology, understanding the molecular mechanism of plants in response to adverse stress has gradually become an important topic for academic exploration. The expression of the transcriptome is dynamic, which reflects the level of expression of all genes in a particular cell, tissue, or organ of an individual organism at a particular stage of growth and development. Transcriptomics can disclose the expression at the whole genome level under stress from the whole transcriptional level, which can be useful in understanding the complex regulatory network associated with the adaptability and tolerance of plants to stress. In this article, we review the application of transcriptomics in understanding the response of plants to biotic stresses such as diseases and insect infestation and abiotic stresses such as water, temperature, salt, and heavy metals to provide a guideline for related research.

Indexed as

abiotic stressesbiotic stresstranscriptomics

Identifiers

PMID32939512
PMCPMC7490119

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.