Evidence map›Paper›PMID 35267056›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2022

Molecular mechanisms, genetic mapping, and genome editing for insect pest resistance in field crops.

Shabir H Wani, Mukesh Choudhary, Rutwik Barmukh, Pravin K Bagaria, Kajal Samantara, Ali Razzaq, Jagdish Jaba, Malick Niango Ba, Rajeev K Varshney

Open access · hybridAbstract readReview
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.8field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Genomic investigations of successful invasions: the picture emerging from recent studies.Biological reviews of the Cambridge Philosophical Society · 2025
    Pooled it
  2. Review
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  9. Genetic Transformation ofPlants (Basel, Switzerland) · 2024
    Article
  10. Article
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  14. Review
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  16. Review
  17. A novel locus conferring resistance toFrontiers in plant science · 2022
    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

9 authors at 6 institutions in 3 countries.

Shabir H Wani *Mountain Research Center for Field Crops, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Khudwani, J&K, 192101, India. shabirhwani@skuastkashmir.ac.in.ORCID http://orcid.org/0000-0002-7456-4090
Mukesh Choudhary *ICAR-Indian Institute of Maize Research (ICAR-IIMR), PAU Campus, Ludhiana, Punjab, 141001, India.
Rutwik Barmukh *Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.ORCID http://orcid.org/0000-0002-2740-8992
Pravin K BagariaICAR-Indian Institute of Maize Research (ICAR-IIMR), PAU Campus, Ludhiana, Punjab, 141001, India.
Kajal SamantaraDepartment of Genetics and Plant Breeding, Centurion University of Technology and Management, Paralakhemundi, Odisha, 761211, India.
Ali RazzaqCentre of Agricultural Biochemistry and Biotechnology, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
Jagdish JabaIntergated Crop Management, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Malick Niango BaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 12404, Niamey, Niger.
Rajeev K VarshneyCenter of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India. rajeev.varshney@murdoch.edu.au.ORCID http://orcid.org/0000-0002-4562-9131
ICAR-Indian Institute of Maize Research · INInternational Crops Research Institute for the Semi-Arid Tropics · INCenturion University of Technology and Management · INMurdoch University · AUSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir · INUniversity of Faisalabad · PK

Funding

department of science and technology (dst), government of india SB/S9/Z-13/2019
6 · The paper itself

Abstract

key messageImproving crop resistance against insect pests is crucial for ensuring future food security. Integrating genomics with modern breeding methods holds enormous potential in dissecting the genetic architecture of this complex trait and accelerating crop improvement. Insect resistance in crops has been a major research objective in several crop improvement programs. However, the use of conventional breeding methods to develop high-yielding cultivars with sustainable and durable insect pest resistance has been largely unsuccessful. The use of molecular markers for identification and deployment of insect resistance quantitative trait loci (QTLs) can fastrack traditional breeding methods. Till date, several QTLs for insect pest resistance have been identified in field-grown crops, and a few of them have been cloned by positional cloning approaches. Genome editing technologies, such as CRISPR/Cas9, are paving the way to tailor insect pest resistance loci for designing crops for the future. Here, we provide an overview of diverse defense mechanisms exerted by plants in response to insect pest attack, and review recent advances in genomics research and genetic improvements for insect pest resistance in major field crops. Finally, we discuss the scope for genomic breeding strategies to develop more durable insect pest resistant crops.

Indexed as

Gene EditingGenomicsAnimalsInsecta

Identifiers

PMID35267056
PMCPMC9729161
OpenAlexW4220945019

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.