Evidence map›Paper›PMID 29089961›Full record

ReviewFrontiers in genetics2017

Redox and Ionic Homeostasis Regulations against Oxidative, Salinity and Drought Stress in Wheat (A Systems Biology Approach).

Zahid Hussain Shah, Hafiz M Rehman, Tasneem Akhtar, Ihsanullah Daur, Muhammad A Nawaz, Muhammad Q Ahmad, Iqrar A Rana, Rana M Atif, Seung H Yang, Gyuhwa Chung

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

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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

10 authors.

Zahid Hussain ShahDepartment of Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia.
Hafiz M RehmanDepartment of Electronics and Biomedical Engineering, Chonnam National University, Yeosu, South Korea.
Tasneem AkhtarDepartment of Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia.
Ihsanullah DaurDepartment of Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia.
Muhammad A NawazDepartment of Electronics and Biomedical Engineering, Chonnam National University, Yeosu, South Korea.
Muhammad Q AhmadDepartment of Plant Breeding and Genetics, Bahauddin Zakariya University, Multan, Pakistan.
Iqrar A RanaCentre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture Faisalabad, Faisalabad, Pakistan.
Rana M AtifCentre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture Faisalabad, Faisalabad, Pakistan.
Seung H YangDepartment of Electronics and Biomedical Engineering, Chonnam National University, Yeosu, South Korea.
Gyuhwa ChungDepartment of Electronics and Biomedical Engineering, Chonnam National University, Yeosu, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systems biology and omics has provided a comprehensive understanding about the dynamics of the genome, metabolome, transcriptome, and proteome under stress. In wheat, abiotic stresses trigger specific networks of pathways involved in redox and ionic homeostasis as well as osmotic balance. These networks are considerably more complicated than those in model plants, and therefore, counter models are proposed by unifying the approaches of omics and stress systems biology. Furthermore, crosstalk among these pathways is monitored by the regulation and streaming of transcripts and genes. In this review, we discuss systems biology and omics as a promising tool to study responses to oxidative, salinity, and drought stress in wheat.

Indexed as

droughtoxidativeredoxsalinitywheat

Identifiers

PMID29089961
PMCPMC5651134

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Registered trials

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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.