Evidence map›Paper›PMID 25473373›Full record

ArticleSaudi journal of biological sciences2014

Genetic variability of Cotton leaf curl betasatellite in Northern India.

Sayed Sartaj Sohrab, Esam I Azhar, Mohammad A Kamal, P S Bhattacharya, D Rana

Abstract read
In one paragraph

Article in Saudi journal of biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

5 authors.

Sayed Sartaj SohrabSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Post Box No. 80216, Jeddah 21589, Saudi Arabia.
Esam I AzharSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Post Box No. 80216, Jeddah 21589, Saudi Arabia.
Mohammad A KamalKing Fahd Medical Research Center, King Abdulaziz University, Post Box No. 80216, Jeddah 21589, Saudi Arabia.
P S BhattacharyaDivision of Biotechnology, JK-AgriGenetics Ltd., Hyderabad, A.P., India.
D RanaDivision of Biotechnology, JK-AgriGenetics Ltd., Hyderabad, A.P., India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton is an important crop and its production is affected by various disease pathogens. Monopartite begomovirus associated betasatellites cause Cotton leaf curl disease (CLCuD) in Northern India. In order to access the occurrence and genetic variability of Cotton leaf curl betasatellites, an extensive field survey was conducted in states of Rajasthan, Punjab and Haryana. We selected the betasatellite sequence for analysis as they are reported as important for disease severity and sequence variability. Based on the field observations, the disease incidence ranged from 30% to 80% during the survey. Full genome and DNA β were amplified from various samples while no amplicon was obtained in some samples. The nucleotide sequence homology ranged from 90.0% to 98.7% with Cotton leaf curl virus (CLCuV), 55.2-55.5% with Bhendi yellow vein mosaic virus, 55.8% with Okra leaf curl virus and 51.70% with Tomato leaf curl virus isolates. The lowest similarity (47.8%) was found in CLCuV-Sudan isolate. Phylogenetic analysis showed that analyzed isolates formed a close cluster with various CLCuV isolates reported earlier. The analysis results show sequence variation in Cotton leaf curl betasatellite which could be the result of recombination. The results obtained by genome amplification and sequence variability indicate that some new variants are circulating and causing leaf curl disease in Rajasthan, Punjab and Haryana.

Indexed as

BetasatellitesCLCuD, Cotton leaf curl diseaseCLCuV, Cotton leaf curl virusCotton leaf curl virusGenetic variabilityNorthern IndiaPCR, polymerase chain reactionSCR, satellite conserved region

Identifiers

PMID25473373
PMCPMC4250495

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Registered trials

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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.