Evidence map›Paper›PMID 30445891›Full record

ArticlePlant signaling & behavior2018

How do we know that plants listen: Advancements and limitations of transcriptomic profiling for the identification of sound-specific biomarkers in tomato.

Seon-Kyu Kim, Mi-Jeong Jeong, Choong-Min Ryu

Open access · bronzeAbstract read
In one paragraph

Article in Plant signaling & behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

3 authors at 3 institutions in 1 country.

Seon-Kyu Kima Personalized Genomic Medicine Research Center , KRIBB , Daejeon , South Korea.ORCID http://orcid.org/0000-0002-4176-5187
Mi-Jeong Jeongb National Institute of Agricultural Sciences , Rural Development Administration , Wanju , South Korea.
Choong-Min Ryuc Molecular Phytobacteriology Laboratory, Infectious Disease Research Center , KRIBB , Daejeon , South Korea.
Korean College of Helicobacter and Upper Gastrointestinal Research · KRKorea Research Institute of Bioscience and Biotechnology · KRRural Development Administration · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sound vibration has been recently identified as an important physical trigger to elicit plant responses. Naturally occurring sound waves modulate diverse aspects of plant physiology, such as root growth, stress responses, and seed germination. However, it has been debated whether plants perceive artificially generated sound vibration and exhibit similar phenotypic changes to those exhibited after perception of natural sound waves. Recently, analysis of RNA-Seq and microRNA-Seq using tomato fruits treated with optimized sound waves to attenuate fruit ripening revealed sound-specific microRNAs, which could be used as sound-specific biomarkers in tomato. These data provide solid molecular evidence of sound perception in plants. Despite these results, there are obvious limitations of biomarkers' specificity and selectivity that need be addressed to facilitate the application of sound treatment in agriculture. Here, the pros and cons of sequencing technologies used to identify sound-associated molecules suggest recommendations for the effective identification of biomarkers responsive to sound treatment in plants.

Indexed as

biomarkerethylenemiRNAripeningsound vibrationTomatotranscriptome

Identifiers

PMID30445891
PMCPMC6296357
OpenAlexW2900776797

What OpenQuestion holds

Textmetadata
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.