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Insects
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Insects
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KASP Genotyping as a Molecular Tool for Diagnosis of Cassava-Colonizing Bemisia tabaci

Authors: Everlyne N. Wosula; Wenbo Chen; Massoud Amour; Zhangjun Fei; James P. Legg;

KASP Genotyping as a Molecular Tool for Diagnosis of Cassava-Colonizing Bemisia tabaci

Abstract

Bemisia tabaci is a cryptic species complex that requires the use of molecular tools for identification. The most widely used approach for achieving this is the partial sequencing of the mitochondrial DNA cytochrome oxidase I gene (COI). A more reliable single nucleotide polymorphism (SNP)-based genotyping approach, using Nextera restriction-site-associated DNA (NextRAD) sequencing, has demonstrated the existence of six major haplogroups of B. tabaci on cassava in Africa. However, NextRAD sequencing is costly and time-consuming. We, therefore, developed a cheaper and more rapid diagnostic using the Kompetitive Allele-Specific PCR (KASP) approach. Seven sets of primers were designed to distinguish the six B. tabaci haplogroups based on the NextRAD data. Out of the 152 whitefly samples that were tested using these primer sets, 151 (99.3%) produced genotyping results consistent with NextRAD. The KASP assay was designed using NextRAD data on whiteflies from cassava in 18 countries across sub-Saharan Africa. This assay can, therefore, be routinely used to rapidly diagnose cassava B. tabaci by laboratories that are researching or monitoring this pest in Africa. This is the first study to develop an SNP-based assay to distinguish B. tabaci whiteflies on cassava in Africa, and the first application of the KASP technique for insect identification.

Keywords

Kompetitive Allele-Specific PCR, Science, Q, whitefly, NextRAD, cassava, Article, SNPs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
gold