Evidence map›Paper›PMID 36405014›Full record

ArticlePeerJ2022

Interaction estimation of pathogenicity determinant protein βC1 encoded by Cotton leaf curl Multan Betasatellite with

Ammara Nasim, Muhammad Abdul Rehman Rashid, Khadim Hussain, Ibrahim Mohammed Al-Shahwan, Mohammed Ali Al-Saleh

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

5 authors at 2 institutions in 2 countries.

Ammara NasimBioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Punjab, Pakistan.
Muhammad Abdul Rehman RashidBioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Punjab, Pakistan.
Khadim HussainBioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Punjab, Pakistan.
Ibrahim Mohammed Al-ShahwanPlant Protection Department, College of Food Sciences and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia.
Mohammed Ali Al-SalehPlant Protection Department, College of Food Sciences and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia.
Government College University, Faisalabad · PKKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Begomovirus is one of the most devastating pathogens that can cause more than 90% yield loss in various crop plants. The pathogenicity determinant βC1, located on the betasatellite associated with monopartite begomoviruses, alters the host signaling mechanism to enhance the viral disease phenotype by undermining the host immunity. The understanding of its interacting proteins in host plants to develop disease symptoms such as curly leaves, enations, vein swelling, and chlorosis is crucial to enhance the disease resistance in crop plants. The current study was designed to reveal the contribution of βC1 in disease pathogenicity and to unveil potential interacting partners of βC1 protein in the model plant Methods: The βC1 gene was cloned in pGKBT7 and used as bait against the cDNA library of Results: The agroinfiltrated leaf samples developed severe phenotypic symptoms of virus infection. The yeast-two-hybrid study identified the NTF2 as a strong interacting partner of the βC1. The NTF2 in

Indexed as

NicotianaSaccharomyces cerevisiaeActive Transport, Cell NucleusAmino AcidsPhylogenyVirulenceAmino AcidsCLCuMBDNA satellitesProtein-protein interactionYeast two hybridβC1

Identifiers

PMID36405014
PMCPMC9673767
OpenAlexW4309207155

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.