Evidence map›Paper›PMID 29052506›Full record

ArticleVirology journal2017

The proposed new species, cacao red vein virus, and three previously recognized badnavirus species are associated with cacao swollen shoot disease.

Nomatter Chingandu, Koffie Kouakou, Romain Aka, George Ameyaw, Osman A Gutierrez, Hans-Werner Herrmann, Judith K Brown

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.8field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Viruses · 2025
    Article
  4. Article
  5. Emerging and Re-Emerging Diseases Caused by Badnaviruses.Pathogens (Basel, Switzerland) · 2023
    Review
  6. Article
  7. 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

7 authors at 4 institutions in 3 countries.

Nomatter ChinganduSchool of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA. nchingandu@email.arizona.edu.
Koffie KouakouCentre National de Recherche Agronomique (CNRA), Programme Cacao, Divo, Côte d'Ivoire.
Romain AkaCentre National de Recherche Agronomique (CNRA), Programme Cacao, Divo, Côte d'Ivoire.
George AmeyawCocoa Research Institute of Ghana, New Tafo-Akim, Ghana.
Osman A GutierrezUSDA-ARS Subtropical Horticultural Research Station, Miami, FL, 33158, USA.
Hans-Werner HerrmannSchool of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA.
Judith K BrownSchool of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA. jbrown@ag.arizona.edu.
University of Arizona · USCentre National de Recherche Agronomique · CICocoa Research Institute of Ghana · GHU.S. Horticultural Research Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCacao swollen shoot virus (CSSV), Cacao swollen shoot CD virus (CSSCDV), and Cacao swollen shoot Togo A virus (CSSTAV) cause cacao swollen shoot disease (CSSD) in West Africa. During 2000-2003, leaf and shoot-swelling symptoms and rapid tree death were observed in cacao in Cote d'Ivoire and Ghana. Molecular tests showed positive infection in only ~50-60% of symptomatic trees, suggesting the possible emergence of an unknown badnavirus.

methodsThe DNA virome was determined from symptomatic cacao samples using Illumina-Hi Seq, and sequence accuracy was verified by Sanger sequencing. The resultant 14, and seven previously known, full-length badnaviral genomic and RT-RNase H sequences were analyzed by pairwise distance analysis to resolve species relationships, and by Maximum likelihood (ML) to reconstruct phylogenetic relationships. The viral coding and non-coding sequences, genome organization, and predicted conserved protein domains (CPDs) were identified and characterized at the species level.

resultsThe 21 CSSD-badnaviral genomes and RT-RNase H sequences shared 70-100% and 72-100% identity, respectively. The RT-RNase H analysis predicted four species, based on an ≥80% species cutoff. The ML genome sequence tree resolved three well-supported clades, with ≥70% bootstrap, whereas, the RT-RNase H phylogeny was poorly resolved, however, both trees grouped CSSD isolates within one large clade, including the newly discovered Cacao red vein virus (CRVV) proposed species. The genome arrangement of the four species consists of four, five, or six predicted open reading frames (ORFs), and the CPDs have similar architectures. By comparison, two New World cacao-infecting badnaviruses encode four ORFs, and harbor CPDs like the West African species.

conclusionsThree previously recognized West African cacao-infecting badnaviral species were identified, and a fourth, previously unidentified species, CRVV, is described for the first time. The CRVV is a suspect causal agent of the rapid decline phenotype, however Koch's Postulates have not been proven. To reconcile viral evolutionary with epidemiology considerations, more detailed information about CSSD-genomic variability is essential. Also, the functional basis for the multiple genome arrangements and subtly distinct CPD architectures among cacao-infecting badnaviruses is poorly understood. New knowledge about functional relationships may help explain the diverse symptomatologies observed in affected cacao trees.

Indexed as

Amino Acid SequenceBadnavirusCacaoCluster AnalysisGene OrderGenetic VariationGenome, ViralGenomicsHigh-Throughput Nucleotide SequencingOpen Reading FramesPhylogenyPlant DiseasesSequence Analysis, DNACacao virusCaulimoviridaeDouble-stranded DNA plant virusMealybug-transmitted virusPararetrovirus

Identifiers

PMID29052506
PMCPMC5649073
OpenAlexW2765809492

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.