Mitochondrial DNA (mtDNA) markers reveal low genetic variation and the presence of two honey bee races in Uganda’s agro-ecological zones
Journal of Apicultural Research, 2017
As plant pollinators, honey bees (Apis mellifera) play a very important role in agricultural and ... more As plant pollinators, honey bees (Apis mellifera) play a very important role in agricultural and non agricultural crop production. In addition, honey bee products are of nutritional, medicinal, cosmetic and economic value to society. With the current changing trends in Uganda’s farming systems, it is important to determine the level of genetic variation, and extent of differentiation in the honey bee population. This will be crucial for a successful honey bee management system for improved productivity and conservation of the honey bees in the different agro-ecological zones of Uganda. To achieve this, we investigated the genetic variation in honey bees from ten agro-ecological zones of Uganda by sequencing the intergenic region of the Mitochondrial DNA (mtDNA) COI-COII. We observed high haplotype diversity (Hd > 0.530) within a majority of the agro-ecological zones except the Southern Highland agro-ecological zone (Hd = 0.154). Both the population structure and the phylogenetic analyses revealed the presence of two honey bee races (A. m. adansonii and A. m. scutellata) in Uganda. A. m. adansonii is more widespread in the agro-ecological zones in the northern and eastern parts of Uganda while A. m. scutellata is more spread in the southern and western parts of the country. This is the first exhaustive population genetics research on bees in Uganda, and provides results that are useful to the beekeeping industry for effective management of the honey bee population. These results should be considered while planning beekeeping activities in the country.
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Papers by Agapitus Kato
livestock in Uganda. The human disease (sleeping sickness) manifests itself in two forms: acute and chronic. The
Lake Victoria basin in Uganda has the acute form and a history of tsetse re-emergence despite concerted efforts to
control tsetse. The government of Uganda has targeted the basin for tsetse eradication. To provide empirical data
for this initiative, we screened tsetse flies from the basin for genetic variation at the mitochondrial DNA cytochrome
oxidase II (mtDNA COII) gene with the goal of investigating genetic diversity and gene flow among tsetse, tsetse
demographic history; and compare these results with results from a previous study based on microsatellite loci data
in the same area.
Methods: We collected 429 Gff tsetse fly samples from 14 localities in the entire Ugandan portion of the Lake
Victoria coast, covering 40,000 km2. We performed genetic analyses on them and added data collected for 56 Gff
individuals from 4 additional sampling sites in the basin. The 529pb partial mitochondrial DNA cytochrome oxidase
II (mtDNA COII) sequences totaling 485 were analysed for genetic differentiation, structuring and demographic
history. The results were compared with findings from a previous study based on microsatellite loci data from the
basin.
Results: The differences within sampling sites explained a significant proportion of the genetic variation. We found
three very closely related mtDNA population clusters, which co-occurred in multiple sites. Although ΦST (0 – 0.592;
P < 0.05) and Bayesian analyses suggest some level of weak genetic differentiation, there is no correlation between
genetic divergence and geographic distance (r = 0.109, P = 0.185), and demographic tests provide evidence of
locality-based demographic history.
Conclusion: The mtDNA data analysed here complement inferences made in a previous study based on
microsatellite data. Given the differences in mutation rates, mtDNA afforded a look further back in time than
microsatellites and revealed that Gff populations were more connected in the past. Microsatellite data revealed
more genetic structuring than mtDNA. The differences in connectedness and structuring over time could be related
to vector control efforts. Tsetse re-emergence after control interventions may be due to re-invasions from outside
the treated areas, which emphasizes the need for an integrated area-wide tsetse eradication strategy for sustainable
removal of the tsetse and trypanosomiasis problem from this area.