Evidence map›Paper›PMID 30783563›Full record

ArticlePeerJ2019

Evolutionary insights of

James M Wainaina, Laura Kubatko, Jagger Harvey, Elijah Ateka, Timothy Makori, David Karanja, Laura M Boykin, Monica A Kehoe

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. 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
2.0field-weighted citation impact, top 12% 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, 12 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

8 authors at 6 institutions in 3 countries.

James M WainainaSchool of Molecular Sciences and Australian Research Council Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, Western Australia, Australia.
Laura KubatkoOhio State University, Columbus, OH, United States of America.
Jagger HarveyFeed the Future Innovation Lab for the Reduction of Post-Harvest Loss, Kansas State University, Manhattan, KS, United States of America.
Elijah AtekaDepartment of Horticulture, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Timothy MakoriDepartment of Horticulture, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
David KaranjaKenya Agricultural and Livestock Research Organization (KARLO), Machakos, Kenya.
Laura M BoykinSchool of Molecular Sciences and Australian Research Council Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, Western Australia, Australia.
Monica A KehoePlant Pathology, Department of Primary Industries and Regional Development Diagnostic Laboratory Service, South Perth, Australia.
Jomo Kenyatta University of Agriculture and Technology · KEUniversity of Western Australia · AUDepartment of Primary Industries and Regional Development · AUKansas State University · USKenya Agricultural and Livestock Research Organization · KEThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant viral diseases are one of the major limitations in legume production within sub-Saharan Africa (SSA), as they account for up to 100% in production losses within smallholder farms. In this study, field surveys were conducted in the western highlands of Kenya with viral symptomatic leaf samples collected. Subsequently, next-generation sequencing was carried out to gain insights into the molecular evolution and evolutionary relationships of Bean common mosaic necrosis virus (BCMNV) and Cowpea aphid-borne mosaic virus (CABMV) present within symptomatic common bean and cowpea. Eleven near-complete genomes of BCMNV and two for CABMV were obtained from western Kenya. Bayesian phylogenomic analysis and tests for differential selection pressure within sites and across tree branches of the viral genomes were carried out. Three well-supported clades in BCMNV and one supported clade for CABMNV were resolved and in agreement with individual gene trees. Selection pressure analysis within sites and across phylogenetic branches suggested both viruses were evolving independently, but under strong purifying selection, with a slow evolutionary rate. These findings provide valuable insights on the evolution of BCMNV and CABMV genomes and their relationship to other viral genomes globally. The results will contribute greatly to the knowledge gap involving the phylogenomic relationship of these viruses, particularly for CABMV, for which there are few genome sequences available, and inform the current breeding efforts towards resistance for BCMNV and CABMV.

Indexed as

GenomicsKenyaNext-generation sequencing (NGS)Phylogenomics of BCMNV and CABMVSmallholder farmerVirus evolution

Identifiers

PMID30783563
PMCPMC6377593
OpenAlexW2912801070

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.