Evidence map›Paper›PMID 40820237›Full record

ArticleScientific reports2025

Prediction of single nucleotide polymorphisms of RNA dependent RNA polymerase for the potato leafroll virus using computational and experimental approaches.

Dalia G Aseel, Ayaat M Elmaghraby, Ali El-Far

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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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

3 authors.

Dalia G AseelPlant Protection and Biomolecular Diagnosis Department, City of Scientific Research and Technological Applications (SRTA, City), Arid Lands Cultivation Research Institute (ALCRI),, New Borg El-Arab, 21934, Egypt. daseel@srtacity.sci.eg.ORCID http://orcid.org/0000-0001-6898-6492
Ayaat M ElmaghrabyNucleic Acid Research Department, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA, City), Alexandria, Egypt.
Ali El-FarDepartment of Biochemistry, Faculty of Veterinary Medicine, Damanhour University, Damanhour, 22511, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potato leafroll disease, caused by potato leafroll virus (PLRV), is one of the most devastating diseases, resulting in significant losses to the potato crop. Research on comprehensive studies examining the prediction of mutations in PLRV genes for this viral disease is limited. This study aims to quantify and characterize the accumulation of these genetic mutations by predicting SNPs for PLRV RNA-dependent RNA polymerase (RdRP) using computational approaches. We utilized advanced online protein prediction tools to explore the impact of DNA mutations on protein function and structure. These tools enabled us to assess the potential level and location of disorder within proteins, providing crucial insights into their behavior. In our study, the polymerase chain reaction (PCR) yielded a product corresponding to the PLRV-RdRp gene, measuring 450 base pairs (bp). This sequence has been documented in GenBank under the access number MT576073 and is cataloged in the UniProt database with the ID A0A8E6I3S8. The phylogenetic analysis of the PLRV-RdRp sequence involved a comparative study with reference sequences in the NCBI database. We focused on two notable predicted inversion mutations located at positions 93 (A93T) and 117 (K117G). Remarkably, the (Lys/Gly) mutation at position 117 exhibited a substantial disorder percentage of 61%, significantly higher than the reference sequence's 13.4%. These single nucleotide polymorphisms (SNPs) are not just statistical anomalies; they have real implications. They alter RdRp protein stability and physicochemical properties, altering pocket residues and influencing the protein's interaction with natural compounds. In conclusion, our findings provide a solid foundation for future research and development efforts focused at the rapid diagnosis and sustainable management of PLRV.

Indexed as

LuteoviridaePolymorphism, Single NucleotideRNA-Dependent RNA PolymeraseSolanum tuberosumViral ProteinsComputational BiologyMutationPhylogenyPlant DiseasesRNA-Dependent RNA PolymeraseViral ProteinsPLRVProtein physicochemical propertiesRdRpSNPs

Identifiers

PMID40820237
PMCPMC12358528

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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.