a55eea77-8401-49ba-921e-53e085dc8345 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:26:12 UK GEMINI 2.3 WGS 84 Molecular analysis of Glossina morsitans morsitans tsetse from Mambwe District, Zambia (2013) 2017-03-24 publication 2016-11-21 creation https://catalogue.ceh.ac.uk/id/a55eea77-8401-49ba-921e-53e085dc8345 10.5285/a55eea77-8401-49ba-921e-53e085dc8345 doi: Simuunza, M., Anderson, N.E., Machila, N., Ndebe, J., Macleod, E.T., Welburn, S.C. (2017). Molecular analysis of Glossina morsitans morsitans tsetse from Mambwe District, Zambia (2013). NERC Environmental Information Data Centre 10.5285/a55eea77-8401-49ba-921e-53e085dc8345 This data set describes the prevalence of trypanosomes and Sodalis glossinidius, and host blood meal analysis from tsetse flies (Glossina morsitans morsitans) captured during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. The Luangwa Valley in Zambia is an old focus of human African trypanosomiasis (HAT, Trypanosoma brucei rhodesiense) and sporadic outbreaks have continued to occur in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing tsetse dynamics and the epidemiology of HAT. This data set was collected to monitor infection rates of trypanosomes and Sodalis glossinidius in Glossina morsitans morsitans tsetse flies in the area so as to assess the risk posed to both human and livestock populations. In addition, feeding patterns of tsetse were investigated through analysis of blood meals. This work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/a55eea77-8401-49ba-921e-53e085dc8345 Simuunza, M. University of Zambia martin.simuunza@unza.zm pointOfContact Anderson, N.E. The University of Edinburgh Neil.Anderson@ed.ac.uk https://orcid.org/0000-0001-7192-7717 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Simuunza, M. University of Zambia martin.simuunza@unza.zm https://orcid.org/0000-0001-6621-7470 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Anderson, N.E. The University of Edinburgh Neil.Anderson@ed.ac.uk https://orcid.org/0000-0001-7192-7717 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Machila, N. University of Zambia noreenmachila@yahoo.co.uk https://orcid.org/0000-0002-1149-6166 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Ndebe, J. University of Zambia j.ndebe@yahoo.com https://orcid.org/0000-0002-3070-8830 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Macleod, E.T. The University of Edinburgh ewan.macleod@ed.ac.uk author Welburn, S.C. The University of Edinburgh Sue.Welburn@ed.ac.uk https://orcid.org/0000-0002-9903-7086 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher Glossina morsitans morsitans Sodalis glossinidius Wikidata 2012-10-29 creation Zambia GeoNames 2006-01-01 creation Luangwa Valley Dynamic Drivers of Disease in Africa Consortium (DDDAC) otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © The University of Edinburgh otherRestrictions © University of Zambia otherRestrictions If you reuse this data, you should cite: Simuunza, M., Anderson, N.E., Machila, N., Ndebe, J., Macleod, E.T., Welburn, S.C. (2017). Molecular analysis of Glossina morsitans morsitans tsetse from Mambwe District, Zambia (2013). NERC Environmental Information Data Centre https://doi.org/10.5285/a55eea77-8401-49ba-921e-53e085dc8345 textTable English utf8 biota health 2013-05-01 2013-11-30 31.826 32.094 -13.828 -13.248 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/a55eea77-8401-49ba-921e-53e085dc8345 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/a55eea77-8401-49ba-921e-53e085dc8345.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Tsetse surveys were conducted in May / June 2013 and November 2013. Tsetse flies were sampled using black screen fly rounds. Data were recorded on standard field sampling forms and then manually transferred to Microsoft Excel. Data were then checked for accuracy and incorrect spatial location coordinates removed. Tsetse flies were homogenized and DNA extracted. The resulting DNA was stored at minus 20 degrees Celsius until needed for Polymerase chain reaction (PCR). PCR analysis was performed using different primers to detect the different species of trypanosomes in the DNA. All PCR included a negative and a positive control. To determine the sources of blood meal (feeding patterns), tsetse DNA samples were subjected to PCR targeting the cytochrome oxidase b gene. The resulting PCR product was sequenced, and the sequences compared with those available in public databases by using nucleotide BLAST at NCBI website (http://blast.ncbi.nlm.nih.gov/Blast.cgi) to determine the animal species on which tsetse fed on. Data were collated in a Microsoft Excel spreadsheet and exported as a comma separated file for ingestion into the Environmental Information Data Centre (EIDC).