Evidence map›Paper›PMID 33525517›Full record

ReviewInternational journal of molecular sciences2021

Omics and CRISPR-Cas9 Approaches for Molecular Insight, Functional Gene Analysis, and Stress Tolerance Development in Crops.

Muhammad Khuram Razzaq, Muqadas Aleem, Shahid Mansoor, Mueen Alam Khan, Saeed Rauf, Shahid Iqbal, Kadambot H M Siddique

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 80 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Muhammad Khuram RazzaqSoybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-1916-4596
Muqadas AleemSoybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China.
Shahid MansoorNational Institute for Biotechnology and Genetic Engineering, Faisalabad 38000, Pakistan.
Mueen Alam KhanDepartment of Plant Breeding and Genetics, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Punjab 63100, Pakistan.ORCID 0000-0003-3261-9724
Saeed RaufDepartment of Plant Breeding and Genetics, College of Agriculture, University of Sargodha, Sargodha 40100, Pakistan.ORCID 0000-0003-0251-5684
Shahid IqbalLaboratory of Fruit Tree Biotechnology, College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0003-4321-8598
Kadambot H M SiddiqueThe UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia.ORCID 0000-0001-6097-4235
Nanjing Agricultural University · CNIslamia University of Bahawalpur · PKNational Institute for Biotechnology and Genetic Engineering · PKThe University of Western Australia · AUUniversity of Sargodha · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants are regularly exposed to biotic and abiotic stresses that adversely affect agricultural production. Omics has gained momentum in the last two decades, fueled by statistical methodologies, computational capabilities, mass spectrometry, nucleic-acid sequencing, and peptide-sequencing platforms. Functional genomics-especially metabolomics, transcriptomics, and proteomics-have contributed substantially to plant molecular responses to stress. Recent progress in reverse and forward genetics approaches have mediated high-throughput techniques for identifying stress-related genes. Furthermore, web-based genetic databases have mediated bioinformatics techniques for detecting families of stress-tolerant genes. Gene ontology (GO) databases provide information on the gene product's functional features and help with the computational estimation of gene function. Functional omics data from multiple platforms are useful for positional cloning. Stress-tolerant plants have been engineered using stress response genes, regulatory networks, and pathways. The genome-editing tool, CRISPR-Cas9, reveals the functional features of several parts of the plant genome. Current developments in CRISPR, such as

Indexed as

CRISPR-Cas SystemsCrops, AgriculturalGene EditingGene Expression Regulation, PlantGenomicsMetabolomicsPlant ProteinsReverse GeneticsStress, PhysiologicalPlant Proteinsabiotic stressbiotic stressCRISPR-Cas9crop stress toleranceomicsplant stress

Identifiers

PMID33525517
PMCPMC7866018
OpenAlexW3124722254

What OpenQuestion 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 OpenQuestion graph.