Evidence map›Paper›PMID 28070648›Full record

ArticleArchives of virology2017

Deinbollia mosaic virus: a novel begomovirus infecting the sapindaceous weed Deinbollia borbonica in Kenya and Tanzania.

Martina Kyallo, Peter Sseruwagi, Robert A Skilton, Mildred Ochwo-Ssemakula, Peter Wasswa, Joseph Ndunguru

Open access · hybridAbstract read
In one paragraph

Article in Archives of virology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 10 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

6 authors at 4 institutions in 3 countries.

Martina KyalloBiosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, P.O. Box 30709-00100, Nairobi, Kenya. m.kyalo@cgiar.org.ORCID http://orcid.org/0000-0003-2837-5325
Peter SseruwagiMikocheni Agricultural Research Institute, P.O. Box 6226, Dar es Salaam, Tanzania.
Robert A SkiltonBiosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, P.O. Box 30709-00100, Nairobi, Kenya.
Mildred Ochwo-SsemakulaSchool of Agricultural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda.
Peter WasswaSchool of Agricultural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda.
Joseph NdunguruMikocheni Agricultural Research Institute, P.O. Box 6226, Dar es Salaam, Tanzania.
Makerere University · UGMikocheni Agricultural Research Institute · TZInternational Centre of Insect Physiology and Ecology · KEInternational Livestock Research Institute · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Four isolates of a bipartite begomovirus from naturally infected Deinbollia borbonica plants exhibiting yellow mosaic symptoms in Kenya and Tanzania were molecularly characterised. The DNA-A was most closely related to that of tomato leaf curl Mayotte virus (AM701764; 82%), while the DNA-B shared the highest nucleotide sequence identity with that of East African cassava mosaic virus (AJ704953) at 65%. Based on the current ICTV species demarcation criterion for the genus Begomovirus (≥91% sequence identity for the complete DNA-A), we report the full-length genome sequence of this novel bipartite begomovirus. The results reveal additional diversity and reservoir hosts of begomoviruses in East Africa.

Indexed as

Base SequenceBegomovirusDNA, ViralGenome, ViralKenyaMosaic VirusesPhylogenyPlant DiseasesSapindaceaeSequence Analysis, DNATanzaniaDNA, Viral

Identifiers

PMID28070648
PMCPMC5387033
OpenAlexW2570087257

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.