Ecotype Evolution in Glossina palpalis Subspecies, Major Vectors of Sleeping Sickness

Meeûs, Thierry De; Bouyer, Jérémy; Ravel, Sophie; Solano, Philippe

doi:10.1371/journal.pntd.0003497

Cited by 18 publications

(12 citation statements)

References 57 publications

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“…The identification retrieved for this specimen from both BOLD and GenBank (G. pennsylvanicus) is likely correct, although other species do occur in Virginia [21]. Similarly, the query species of tsetse fly (G. palpalis) belongs to a complex that includes G. brevipalpis [22][23][24], the species identified as the closest match by BOLD and Gen-Bank. There are hundreds of Glossina COI sequences in GenBank and BOLD, but most of them are from the 3' end of the gene and do not overlap with the DNA barcode region.…”

Section: Need For Taxonomic Validation Of Museum Specimensmentioning

confidence: 86%

BOLD and GenBank revisited – Do identification errors arise in the lab or in the sequence libraries?

et al. 2020

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Applications of biological knowledge, such as forensics, often require the determination of biological materials to a species level. As such, DNA-based approaches to identification, particularly DNA barcoding, are attracting increased interest. The capacity of DNA barcodes to assign newly encountered specimens to a species relies upon access to informatics platforms, such as BOLD and GenBank, which host libraries of reference sequences and support the comparison of new sequences to them. As parameterization of these libraries expands, DNA barcoding has the potential to make valuable contributions in diverse applied contexts. However, a recent publication called for caution after finding that both platforms performed poorly in identifying specimens of 17 common insect species. This study follows up on this concern by asking if the misidentifications reflected problems in the reference libraries or in the query sequences used to test them. Because this reanalysis revealed that missteps in acquiring and analyzing the query sequences were responsible for most misidentifications, a workflow is described to minimize such errors in future investigations. The present study also revealed the limitations imposed by the lack of a polished species-level taxonomy for many groups. In such cases, applications can be strengthened by mapping the geographic distributions of sequence-based species proxies rather than waiting for the maturation of formal taxonomic systems based on morphology.

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Section: Need For Taxonomic Validation Of Museum Specimensmentioning

confidence: 86%

BOLD and GenBank revisited – Do identification errors arise in the lab or in the sequence libraries?

et al. 2020

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“…In contrast to the Glossina species discussed above, the G. p. palpalis populations showed a very distinct divergence. It has been described previously that G. p. palpalis populations are very divergent and it has repeatedly been suggested that they represent a species complex [ 4 , 8 , 15 , 23 , 42 ]. In previous studies, genetic analysis showed a clear grouping in Central and West African clades, which has been suggested to be a process of sub-speciation [ 8 , 15 , 42 ].…”

Section: Discussionmentioning

confidence: 99%

Diversity and phylogenetic relationships of Glossina populations in Nigeria and the Cameroonian border region

Shaida¹,

Weber²,

Gbem³

et al. 2018

BMC Microbiol

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BackgroundTsetse flies are vectors of trypanosomes, parasites that cause devastating disease in humans and livestock. In the course of vector control programmes it is necessary to know about the Glossina species present in the study area, the population dynamics and the genetic exchange between tsetse fly populations.ResultsTo achieve an overview of the tsetse fly diversity in Nigeria and at the Nigeria-Cameroon border, tsetse flies were trapped and collected between February and March 2014 and December 2016. Species diversity was determined morphologically and by analysis of Cytochrome C Oxidase SU1 (COI) gene sequences. Internal transcribed spacer-1 (ITS-1) sequences were compared to analyse variations within populations. The most dominant species were G. m. submorsitans, G. tachinoides and G. p. palpalis. In Yankari Game Reserve and Kainji Lake National Park, G. submorsitans and G. tachinoides were most frequent, whereas in Old Oyo National Park and Ijah Gwari G. p. palpalis was the dominant species. Interestingly, four unidentified species were recorded during the survey, for which no information on COI or ITS-1 sequences exists. G. p. palpalis populations showed a segregation in two clusters along the Cameroon-Nigerian border.ConclusionsThe improved understanding of the tsetse populations in Nigeria will support decisions on the scale in which vector control is likely to be more effective. In order to understand in more detail how isolated these populations are, it is recommended that further studies on gene flow be carried out using other markers, including microsatellites.

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“…In the Niayes, the habitat favoured by G. p. gambiensis includes mainly mango and citrus tree plantations, residual riparian thickets and palm tree plantations, as the flies have adapted to this man-made vegetation and strong anthropic pressures [ 8 , 17 , 43 ]. Moreover, the combined use of markers such as microsatellites and mitochondrial DNA and wing morphometrics showed that the Niayes population was completely isolated from the main tsetse belt in West Africa [ 10 , 27 ] and can thus be considered a different ecotype or even sub-species [ 44 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of temperature and relative humidity on survival and fecundity of three tsetse strains

et al. 2016

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BackgroundTsetse flies occur in much of sub-Saharan Africa where they are vectors of trypanosomes that cause human and animal African trypanosomosis. The sterile insect technique (SIT) is currently used to eliminate tsetse fly populations in an area-wide integrated pest management (AW-IPM) context in Senegal and Ethiopia. Three Glossina palpalis gambiensis strains [originating from Burkina Faso (BKF), Senegal (SEN) and an introgressed strain (SENbkf)] were established and are now available for use in future AW-IPM programmes against trypanosomes in West Africa. For each strain, knowledge of the environmental survival thresholds is essential to determine which of these strains is best suited to a particular environment or ecosystem, and can therefore be used effectively in SIT programmes.MethodsIn this paper, we investigated the survival and fecundity of three G. p. gambiensis strains maintained under various conditions: 25 °C and 40, 50, 60, and 75 % relative humidity (rH), 30 °C and 60 % rH and 35 °C and 60 % rH.ResultsThe survival of the three strains was dependent on temperature only, and it was unaffected by changing humidity within the tested range. The BKF strain survived temperatures above its optimum better than the SEN strain. The SENbkf showed intermediate resistance to high temperatures. A temperature of about 32 °C was the limit for survival for all strains. A rH ranging from 40 to 76 % had no effect on fecundity at 25–26 °C.ConclusionsWe discuss the implications of these results on tsetse SIT-based control programmes.

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Ecotype Evolution in Glossina palpalis Subspecies, Major Vectors of Sleeping Sickness

Cited by 18 publications

References 57 publications

BOLD and GenBank revisited – Do identification errors arise in the lab or in the sequence libraries?

BOLD and GenBank revisited – Do identification errors arise in the lab or in the sequence libraries?

Diversity and phylogenetic relationships of Glossina populations in Nigeria and the Cameroonian border region

Influence of temperature and relative humidity on survival and fecundity of three tsetse strains

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