Evidence map›Paper›PMID 35578136›Full record

ReviewPlanta2022

Molecular communication network and its applications in crop sciences.

Shakeel Ahmed, Jiandong Hu, Syed M Z A Naqvi, Yanyan Zhang, Li Linze, Abdulraheem M Iderawumi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Planta, 2022. 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
1.4field-weighted citation impact, top 21% 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, 17 citations in OpenAlex.

  1. Article
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  4. Review
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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

6 authors at 2 institutions in 1 country.

Shakeel AhmedCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Jiandong HuCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China. jdhu@henau.edu.cn.ORCID https://orcid.org/0000-0003-1325-7334
Syed M Z A NaqviCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Yanyan ZhangCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Li LinzeCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Abdulraheem M IderawumiCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Henan Agricultural University · CNHenan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionPlant molecular biology and bacterial behaviour research in the future could focus on using genetically engineered bacteria as a sensor, hormonal/disease detector, and target gene expression, as well as establishing a bioluminescence feedback communication system. Over the last two decades, understanding plant signal transduction pathways of plant hormones has become an active research field to understand plant behavior better. To accomplish signal transduction, plants use a variety of hormones for inter- and intra-communication, and biotic or abiotic stressors activate those. Signal transduction pathways refer to the use of various communication methods by effectors to elicit a response at the molecular level. Research methodologies such as inter-kingdom signaling have been introduced to study signal transduction and communication pathways, or what we can term plant molecular communication. However, stochastic qualities are inherent in most technologies used to monitor these biological processes. Molecular communication (MC) is a new research topic that uses the natural features of biological organisms to communicate and aims to manipulate their stochastic nature to achieve the desired results. MC is a multidisciplinary research field inspired by the use of molecules to store, spread, and receive information between biological organisms known as "Biological Nanomachines." It has been used to demonstrate how biological entities may be characterised, modelled, and engineered as communication devices in the same manner as traditional communication technologies are. We attempted to link MC and PLANT'S MC in this study and we believe that reasonable combined efforts may be made to use the functional applications of MC for detecting and understanding molecular-level activities such as signaling transduction pathways in crops.

Indexed as

Crops, AgriculturalPlant Growth RegulatorsBacteriaSignal TransductionPlant Growth RegulatorsCrop biotechnologyInformation moleculesNanomachinesPlant’s molecular communicationSignaling transduction pathwaysSignal transduction

Identifiers

PMID35578136
OpenAlexW4280503929

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.