Evidence map›Paper›PMID 38046058›Full record

ArticleVirusdisease2023

Evidence for the natural infection of cucurbit chlorotic yellows virus (CCYV) in lettuce plants from India.

Ashwini Kumar, Shakshi Choudhary, Yvonne A Lyngdoh, Virendra K Baranwal, Rakesh K Jain, Y B Basavaraj

Abstract read
In one paragraph

Article in Virusdisease, 2023. 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
–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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Ashwini KumarICAR-Indian Agricultural Research Institute, New Delhi, India.
Shakshi ChoudharyICAR-Indian Agricultural Research Institute, New Delhi, India.
Yvonne A LyngdohICAR-Indian Agricultural Research Institute, New Delhi, India.
Virendra K BaranwalICAR-Indian Agricultural Research Institute, New Delhi, India.
Rakesh K JainICAR-Indian Agricultural Research Institute, New Delhi, India.
Y B BasavarajICAR-Indian Agricultural Research Institute, New Delhi, India.ORCID 0000-0002-9216-877X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the years 2021 and 2022, lettuce plants showing blistering, chlorosis, mosaic, rosetting/ excess proliferation, and stunting symptoms were subjected to leaf-dip transmission electron microscopy, RT-PCR followed by sequence analysis and bio-assay to unfold the identity of associated virus(es). The association of long filamentous virions (~ 850 nm in length) as seen through leaf-dip transmission electron microscopy suggested the possible infection by a potyvirus or crinivirus, either singly or in combination. RT-PCR assays using generic primers targeting the RdRp region of criniviruses and the NIb region of potyviruses revealed the association of both a crinivirus as well as a potyvirus. The gel-purified RT-PCR products derived from the RdRp region of criniviruses upon cloning, sequencing, and NCBI BLAST analysis indicated the associated crinivirus as cucurbit chlorotic yellows virus (CCYV). Further, RT-PCR assays using specific primers targeting CP and CP minor genes of CCYV followed by cloning and sequencing confirmed its association with the diseased lettuce plants. Besides, the bioassay based on whitefly-mediated virus transmission followed by RT-PCR confirmed the infectivity of CCYV from diseased to healthy lettuce plants. The results of this study confirmed the natural infection of CCYV in lettuce host for the first time in the world indicating its distribution across the crop families.

Indexed as

CrinivirusCucurbit chlorotic yellows virus (CCYV)Emerging virusLettuceNatural infectionNew host

Identifiers

PMID38046058
PMCPMC10686951

What OpenQuestion holds

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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.