Evidence map›Paper›PMID 29096025›Full record

ArticleGenome biology and evolution2017

Unravelling the Genetic Diversity among Cassava Bemisia tabaci Whiteflies Using NextRAD Sequencing.

Everlyne N Wosula, Wenbo Chen, Zhangjun Fei, James P Legg

Abstract read
In one paragraph

Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

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0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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  20. Genetic diversity of whitefly (Journal of pest science · 2021
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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

4 authors.

Everlyne N WosulaInternational Institute of Tropical Agriculture, Dar es Salaam, Tanzania.
Wenbo ChenBoyce Thompson Institute, Ithaca, New York.
Zhangjun FeiBoyce Thompson Institute, Ithaca, New York.
James P LeggInternational Institute of Tropical Agriculture, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bemisia tabaci threatens production of cassava in Africa through vectoring viruses that cause cassava mosaic disease (CMD) and cassava brown streak disease (CBSD). B. tabaci sampled from cassava in eight countries in Africa were genotyped using NextRAD sequencing, and their phylogeny and population genetics were investigated using the resultant single nucleotide polymorphism (SNP) markers. SNP marker data and short sequences of mitochondrial DNA cytochrome oxidase I (mtCOI) obtained from the same insect were compared. Eight genetically distinct groups were identified based on mtCOI, whereas phylogenetic analysis using SNPs identified six major groups, which were further confirmed by PCA and multidimensional analyses. STRUCTURE analysis identified four ancestral B. tabaci populations that have contributed alleles to the six SNP-based groups. Significant gene flows were detected between several of the six SNP-based groups. Evidence of gene flow was strongest for SNP-based groups occurring in central Africa. Comparison of the mtCOI and SNP identities of sampled insects provided a strong indication that hybrid populations are emerging in parts of Africa recently affected by the severe CMD pandemic. This study reveals that mtCOI is not an effective marker at distinguishing cassava-colonizing B. tabaci haplogroups, and that more robust SNP-based multilocus markers should be developed. Significant gene flows between populations could lead to the emergence of haplogroups that might alter the dynamics of cassava virus spread and disease severity in Africa. Continuous monitoring of genetic compositions of whitefly populations should be an essential component in efforts to combat cassava viruses in Africa.

Indexed as

PhylogenyAnimalsBayes TheoremDNA, MitochondrialGene FlowGenes, InsectGenetics, PopulationGenome, InsectGeographic MappingHemipteraHigh-Throughput Nucleotide SequencingInsect VectorsManihotModels, GeneticPlant DiseasesPolymorphism, Single NucleotideDNA, Mitochondrialcassava brown streak diseasecassava mosaic diseasemitochondrial DNA cytochrome oxidase Ipopulation genetic structuresingle nucleotide polymorphism

Identifiers

PMID29096025
PMCPMC5714214

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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.