Evidence map›Paper›PMID 31538309›Full record

ReviewMolecular biotechnology2020

Transgene Stacking as Effective Tool for Enhanced Disease Resistance in Plants.

Kashmala Shehryar, Raham Sher Khan, Aneela Iqbal, Syeda Andaleeb Hussain, Sawera Imdad, Anam Bibi, Laila Hamayun, Ikuo Nakamura

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Current status of molecular rice breeding for durable and broad-spectrum resistance to major diseases and insect pests.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    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

8 authors.

Kashmala ShehryarDepartment of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Raham Sher KhanDepartment of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan. rahamsher@awkum.edu.pk.
Aneela IqbalDepartment of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Syeda Andaleeb HussainDepartment of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Sawera ImdadDepartment of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Anam BibiDepartment of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Laila HamayunDepartment of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Ikuo NakamuraGraduate School of Horticulture, Chiba University Japan, Matsudo, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction of more than one gene into crop plants simultaneously or sequentially, called transgene stacking, has been a more effective strategy for conferring higher and durable insect and disease resistance in transgenic plants than single-gene technology. Transgenes can be stacked against one or more pathogens or for traits such as herbicide tolerance or anthocyanin pigmentation. Polygenic agronomic traits can be improved by multiple gene transformation. The most widely engineered stacked traits are insect resistance and herbicide tolerance as these traits may lead to lesser use of pesticides, higher yield, and efficient control of weeds. In this review, we summarize transgene stacking of two or more transgenes into crops for different agronomic traits, potential applications of gene stacking, its limitations and future prospects.

Indexed as

TransgenesAnimalsCrops, AgriculturalDisease ResistanceHerbicidesInsectaPlant ProteinsPlants, Genetically ModifiedTransformation, GeneticHerbicidesPlant ProteinsDisease resistanceInsect resistanceTransgene stacking

Identifiers

What OpenQuestion holds

Textmetadata
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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.