Evidence map›Paper›PMID 33893996›Full record

ReviewMolecular biotechnology2021

Genetic Engineering Approaches for Enhanced Insect Pest Resistance in Sugarcane.

Aneela Iqbal, Raham Sher Khan, Mubarak Ali Khan, Karim Gul, Fazal Jalil, Daud Ali Shah, Hazir Rahman, Talaat Ahmed

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 32 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Aneela IqbalDepartment of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan.
Raham Sher KhanDepartment of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan. rahamsher@awkum.edu.pk.ORCID http://orcid.org/0000-0003-2164-617X
Mubarak Ali KhanDepartment of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan.
Karim GulDepartment of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan.
Fazal JalilDepartment of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan.
Daud Ali ShahDepartment of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan.
Hazir RahmanDepartment of Microbiology, Abdul Wali Khan University, Mardan, Pakistan.
Talaat AhmedDepartment of Biological and Environmental Sciences, College of Arts and Science, Qatar University, Doha, Qatar.
Abdul Wali Khan University Mardan · PKQatar University · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugarcane (Saccharum officinarum), a sugar crop commonly grown for sugar production all over the world, is susceptible to several insect pests attack in addition to bacterial, fungal and viral infections leading to substantial reductions in its yield. The complex genetic makeup and lack of resistant genes in genome of sugarcane have made the conventional breeding a difficult and challenging task for breeders. Using pesticides for control of the attacking insects can harm beneficial insects, human and other animals and the environment as well. As alternative and effective strategy for control of insect pests, genetic engineering has been applied for overexpression of cry proteins, vegetative insecticidal proteins (vip), lectins and proteinase inhibitors (PI). In addition, the latest biotechnological tools such as host-induced gene silencing (HIGS) and CRISPR/Cas9 can be employed for sustainable control of insect pests in sugarcane. In this review overexpression of the cry, vip, lectins and PI genes in transgenic sugarcane and their disease resistance potential is described.

Indexed as

Disease ResistanceCRISPR-Cas SystemsGenetic EngineeringInsecticidesLectinsPlant BreedingPlants, Genetically ModifiedSaccharumInsecticidesLectinsCry genesGenetic engineeringInsect resistanceSaccharum officinarum

Identifiers

PMID33893996
OpenAlexW3153179774

What OpenQuestion holds

Textmetadata
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.