Abundance, diversity and geographic distribution of cassava mosaic disease pandemic‐associated Bemisia tabaci in Tanzania. (26th December 2014)

• Record Type: Journal Article
• Authors: Tajebe, L. S.; Boni, S. B.; Guastella, D.; Cavalieri, V.; Lund, O. S.; Rugumamu, C. P.; Rapisarda, C.; Legg, J. P.
• Is Part Of: Journal of applied entomology. Volume 139:Number 8(2015)
• Page Start: 627
• Page End: 637
• Publication Date: 2014-12-26
• Subjects: Entomology -- Periodicals; Insect pests -- Periodicals; 595.7
• DOI: 10.1111/jen.12197
• Languages: English
• ISSNs: 0931-2048

Abstract

<abstract abstract-type="main" id="jen12197-abs-0001"> <title>Abstract</title> <p> <italic>Bemisia tabaci</italic> (Gennadius) (Homoptera: Aleyrodidae), one of the most economically important agricultural pests worldwide, is the vector of cassava mosaic geminiviruses that cause cassava mosaic disease (CMD). In East and Central Africa, a severe CMD pandemic that spread from Uganda in the late 1980s still continues to devastate cassava crops. To assess the association of distinct <italic>B. tabaci</italic> genetic groups with the CMD pandemic, mitochondrial cytochrome oxidase I gene sequences were analysed from whiteflies collected during surveys conducted from 2010 to 2013 in Tanzania. Four genetic groups – Sub‐Saharan Africa 1 (SSA1), Mediterranean, Indian Ocean and East Africa 1, and a group of unknown whitefly species were identified. SSA1 comprised four subgroups: SSA1‐SG1, SSA1‐SG2, SSA1‐SG1/2 and SSA1‐SG3. SSA1‐SG1 was confined to the pandemic‐affected north‐western parts of Tanzania whilst SSA1‐SG2 and SSA1‐SG3 were found in the central and eastern parts not yet affected by the pandemic. The CMD pandemic front was estimated to lie in Geita Region, north‐western Tanzania, and to be spreading south‐east at a rate of <italic>ca</italic> 26 km/year. The pandemic‐associated <italic>B. tabaci </italic>SSA1‐SG1 predominated up to 180 km ahead of the CMD front indicating that changes in whitefly population characteristics precede changes in disease characteristics.</p> </abstract>