Infestation Levels and Molecular Identification Based on Mitochondrial COI Bar code Region of Five Invasive Gelechiidae Pest Species in Kenya

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dc.contributor.authorKinyanjui, G
dc.date.accessioned2019-04-30T13:26:52Z
dc.date.available2019-04-30T13:26:52Z
dc.date.issued2018-10-26
dc.descriptionFull texten_US
dc.description.abstractInvasive Gelechiidae pest species, namely Tuta absoluta, Phthorimaea operculella, Aproaerema simplixella, Sitotroga cerealella, and Pectinophora gossypiella are among the major constraints hampering agricultural economy in Kenya. Infestation levels were determined on respective host crops sampled from different localities and P. operculella recorded the highest infestation of 68.00 ± 4.92% on stored potato. Aproaerema simplixella and T. absoluta accounted for 61.33 ± 5.35% and 51.56 ± 5.22% maximal infestation on groundnuts and tomato leaves, respectively. Stored maize was significantly infested by S. cerealella (54.33 ± 5.31%) while no infestation was observed on the freshly harvested grains. Infestation on open bolls by P. gossypiella was relatively low (6.11 ± 3.46%) compared to Anatrachyntis simplex (45.67 ± 7.84%) that emerged as the key pest of cotton. The species were discriminated based on sequence similarities, evolutionary divergences, and phylogenetic analyses. A 658-bp fragment of mitochondrial cytochrome c oxidase subunit I (COI) gene was obtained from 302 specimens. Generally, genetic variations were low within and between Gelechiid populations, with an average of 0.02% and all intraspecific divergences were less than 2% except for S. cerealella. The Gelechiids data set generated eight Barcode Index Numbers (BINs), five of which were concordant and three belonging to S. cerealella were singleton. All species were separated into distinct clusters on a maximum likelihood tree. Data on infestation levels will be useful in defining the pest status of these Gelechiids in Kenya. DNA barcoding is also presented as a valuable tool to complement traditional taxonomy for rapid and accurate identification of these species of agronomic interest.en_US
dc.description.sponsorshipFederal Ministry for Economic Cooperation and Development (BMZ), Germany, icipe-Tuta IPM project (Project No.: 12.1433.7-001.00). We also acknowledge icipe core funding provided by United Kingdom’s Department for International Development (DFID); Swedish International Development Cooperation Agency (Sida); the Swiss Agency for Development and Cooperation (SDC); the Federal Ministry for Economic Cooperation and Development (BMZ), Germany; and the Kenyanen_US
dc.identifier.citationJournal of Economic Entomology, XX(XX), 2018, 1–11en_US
dc.identifier.uridoi: 10.1093/jee/toy357
dc.identifier.urihttp://repository.embuni.ac.ke/handle/embuni/2151
dc.language.isoenen_US
dc.publisheroxforden_US
dc.subjectinvasive Gelechiidae speciesen_US
dc.subjectinfestation levels,en_US
dc.subjectspecies identificationen_US
dc.subjectDNA barcodingen_US
dc.titleInfestation Levels and Molecular Identification Based on Mitochondrial COI Bar code Region of Five Invasive Gelechiidae Pest Species in Kenyaen_US
dc.typeArticleen_US
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