Evidence map›Paper›PMID 34535835›Full record

ArticleMolecular biology reports2021

Expression studies of stress responsive genes in cotton Gossypium hirsutum L.

Muhammad Naeem, Muhammad Iqbal, Sami Ul-Allah, Hassan Javed Chaudhary, Wajad Nazeer, Javeria Ashraf, Faheem Shahzad Baloch

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Article in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.2field-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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

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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 at 5 institutions in 2 countries.

Muhammad NaeemDepartment of Plant Breeding and Genetics, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan. mniub@iub.edu.pk.ORCID http://orcid.org/0000-0002-7677-4729
Muhammad IqbalDepartment of Plant Breeding and Genetics, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Sami Ul-AllahCollege of Agriculture, Bahadur Sub Campus Layyah, Bahauddin Zakariya University, Multan, Pakistan.
Hassan Javed ChaudharyDepartment of Plant Sciences, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan.
Wajad NazeerDepartment of Plant Breeding and Genetics, Ghazi University, Dera Ghazi Khan, Pakistan.
Javeria AshrafDepartment of Plant Breeding and Genetics, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Faheem Shahzad BalochFaculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey. balochfaheem13@gmail.com.
Islamia University of Bahawalpur · PKBahauddin Zakariya University · PKGhazi University · PKQuaid-i-Azam University · PKSivas State Hospital · TR

Funding

higher education commission of pakistan 6931/Punjab/NRPU/R&D/HEC/2017
6 · The paper itself

Abstract

backgroundCotton is the world's richest source of natural fiber. Meanwhile cotton plant is top ranked stress sensitive plant thereby affecting its yield and fiber quality. But, in climate change scenario, fiber yield and quality are being affected due to environmental stresses, especially heat, drought and salinity. Present study is aimed to identify cotton genotype harboring prominently expressed stress responsive genes.

methodsFour cotton genotypes (IUB-13, IUB-222, IUB-09 and MM-58) were evaluated under drought and salinity stress for yield traits and expression of different stress responsive genes (GhWRKY3, GhDREB2 and GhRDR6).

resultsPronounced expression of GhWRKY3, GhDREB2and GhRDR6 was observed in cotton variety IUB-13 in stress condition (drought and salinity) as compared to control followed by IUB-222 which revealed that these genotypes might possess substantial potential to cope with environmental hazards encountered in growing season

conclusionUtilization of cotton genotypes i.e., IUB-13 and IUB-222 in cotton breeding program can be very much fruitful for developing cotton genotypes adoptable to climate change.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGossypiumPlant ProteinsStress, PhysiologicalDehydrationPlant ProteinsGene expressionGossypium hirsutum L.Real time PCRStress genes

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PMID34535835
OpenAlexW3201383403

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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.