Mitogenomic analysis of diversity of key whitefly pests in Kenya and its implication to their sustainable management
Abstract Whiteflies (Hemiptera: Aleyrodidae) are devastating agricultural pests of economic importance vectoring pathogenic plant viruses. Knowledge on their diversity and distribution in Kenya is scanty, limiting development of effective sustainable management strategies. The present study is aimed...
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2021
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oai:doaj.org-article:af4e8a1c91d24117989ae602dcc41edc2021-12-02T13:18:01ZMitogenomic analysis of diversity of key whitefly pests in Kenya and its implication to their sustainable management10.1038/s41598-021-85902-22045-2322https://doaj.org/article/af4e8a1c91d24117989ae602dcc41edc2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85902-2https://doaj.org/toc/2045-2322Abstract Whiteflies (Hemiptera: Aleyrodidae) are devastating agricultural pests of economic importance vectoring pathogenic plant viruses. Knowledge on their diversity and distribution in Kenya is scanty, limiting development of effective sustainable management strategies. The present study is aimed at identifying whitefly pest species present in Kenya across different agroecological zones and establish predictive models for the most abundant species in Africa. Whiteflies were sampled in Kenya from key crops known to be severely infested and identified using 16S rRNA markers and complete mitochondrial genomes. Four whitefly species were identified: Aleyrodes proletella, Aleurodicus dispersus, Bemisia afer and Trialeurodes vaporariorum, the latter being the most dominant species across all the agroecology. The assembly of complete mitogenomes and comparative analysis of all 13 protein coding genes confirmed the identities of the four species. Furthermore, prediction spatial models indicated high climatic suitability of T. vaporariorum in Africa, Europe, Central America, parts of Southern America, parts of Australia, New Zealand and Asia. Consequently, our findings provide information to guide biosecurity agencies on protocols to be adopted for precise identification of pest whitefly species in Kenya to serve as an early warning tool against T. vaporariorum invasion into unaffected areas and guide appropriate decision-making on their management.Fathiya M. KhamisFidelis L. O. OmburaInusa J. AjeneKomivi S. AkutseSevgan SubramanianSamira A. MohamedThomas DuboisChrysantus M. TangaSunday EkesiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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Medicine R Science Q Fathiya M. Khamis Fidelis L. O. Ombura Inusa J. Ajene Komivi S. Akutse Sevgan Subramanian Samira A. Mohamed Thomas Dubois Chrysantus M. Tanga Sunday Ekesi Mitogenomic analysis of diversity of key whitefly pests in Kenya and its implication to their sustainable management |
description |
Abstract Whiteflies (Hemiptera: Aleyrodidae) are devastating agricultural pests of economic importance vectoring pathogenic plant viruses. Knowledge on their diversity and distribution in Kenya is scanty, limiting development of effective sustainable management strategies. The present study is aimed at identifying whitefly pest species present in Kenya across different agroecological zones and establish predictive models for the most abundant species in Africa. Whiteflies were sampled in Kenya from key crops known to be severely infested and identified using 16S rRNA markers and complete mitochondrial genomes. Four whitefly species were identified: Aleyrodes proletella, Aleurodicus dispersus, Bemisia afer and Trialeurodes vaporariorum, the latter being the most dominant species across all the agroecology. The assembly of complete mitogenomes and comparative analysis of all 13 protein coding genes confirmed the identities of the four species. Furthermore, prediction spatial models indicated high climatic suitability of T. vaporariorum in Africa, Europe, Central America, parts of Southern America, parts of Australia, New Zealand and Asia. Consequently, our findings provide information to guide biosecurity agencies on protocols to be adopted for precise identification of pest whitefly species in Kenya to serve as an early warning tool against T. vaporariorum invasion into unaffected areas and guide appropriate decision-making on their management. |
format |
article |
author |
Fathiya M. Khamis Fidelis L. O. Ombura Inusa J. Ajene Komivi S. Akutse Sevgan Subramanian Samira A. Mohamed Thomas Dubois Chrysantus M. Tanga Sunday Ekesi |
author_facet |
Fathiya M. Khamis Fidelis L. O. Ombura Inusa J. Ajene Komivi S. Akutse Sevgan Subramanian Samira A. Mohamed Thomas Dubois Chrysantus M. Tanga Sunday Ekesi |
author_sort |
Fathiya M. Khamis |
title |
Mitogenomic analysis of diversity of key whitefly pests in Kenya and its implication to their sustainable management |
title_short |
Mitogenomic analysis of diversity of key whitefly pests in Kenya and its implication to their sustainable management |
title_full |
Mitogenomic analysis of diversity of key whitefly pests in Kenya and its implication to their sustainable management |
title_fullStr |
Mitogenomic analysis of diversity of key whitefly pests in Kenya and its implication to their sustainable management |
title_full_unstemmed |
Mitogenomic analysis of diversity of key whitefly pests in Kenya and its implication to their sustainable management |
title_sort |
mitogenomic analysis of diversity of key whitefly pests in kenya and its implication to their sustainable management |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/af4e8a1c91d24117989ae602dcc41edc |
work_keys_str_mv |
AT fathiyamkhamis mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement AT fidelisloombura mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement AT inusajajene mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement AT komivisakutse mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement AT sevgansubramanian mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement AT samiraamohamed mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement AT thomasdubois mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement AT chrysantusmtanga mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement AT sundayekesi mitogenomicanalysisofdiversityofkeywhiteflypestsinkenyaanditsimplicationtotheirsustainablemanagement |
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