An assessment of the genomic structural variation landscape in Sub-Saharan African populations.

Structural variants are responsible for a large part of genomic variation between individuals and play a role in both common and rare diseases. Databases cataloguing structural variants notably do not represent the full spectrum of global diversity, particularly missing information from most African populations. To address this representation gap, we analysed 1,091 high-coverage African genomes, 545 of which are public data sets, and 546 which have been analysed for structural variants for the first time. Variants were called using five different tools and datasets merged and jointly called using SURVIVOR. We identified 67,795 structural variants throughout the genome, with 10,421 genes having at least one variant. Using a conservative overlap in merged data, 6,414 of the structural variants (9.5%) are novel compared to the Database of Genomic Variants. This study contributes to knowledge of the landscape of structural variant diversity in Africa and presents a reliable dataset for potential applications in population genetics and health-related research.

Evaluation of ITS1 rDNA primers for the detection and identification of African trypanosomes in mammalian hosts and tsetse flies.

Although several primers targeted to the internal transcribed-spacer 1 (ITS1) of the ribosomal DNA (rDNA) have been designed to improve the detection of African trypanosomes, no study tried to compare their agreement level and ability to amplify different trypanosome species in tsetse flies and mammals in various epidemiological settings. This study was designed to fill this gap, by targeting tsetse-infested areas of Cameroon. For this, archived DNA samples reporting at-least one trypanosome species with species-specific PCR primers were reviewed. Ten sets of primers targeting different ITS1 rDNA sequences of trypanosomes were selected for assessment using single-round and nested-PCR method. Amplification rates (sensitivity) and agreement level of different ITS1 assays were compared using Cohen's-Kappa and McNemar's x2 statistic. Little agreement level (k = 0.05-0.52) were observed between different ITS1-primers PCRs detection of African trypanosome species despite significant (X2=54.3, p = 0.0001) high amplification rate 91.6 % (339/370). This sensitivity varied from quite low for T. simiae (11.9 %) and T. vivax (27.3 %) to fairly good for T. congolence (51.9 %), Trypanozoon (32.4 %) and T. theileri (40.3 %). Primers set targeting ITS1-A sequence of trypanosome species recorded the highest sensitivity (50.5 %) with fairly good agreement compared to 39.2 % for ITS1-C (k = 0.52), 32.4 % for ITS1-R (k = 0.47), 29.7 % for ITS1-N (k = 0.48) and 23.0 % for ITS1-KIN (k = 0.43) respectively. This study revealed a diversity in the sensitivity of different trypanosome species with different sets of ITS-primers enhancing the need to use the same sets of primers in different bio-ecological settings. The use of nested-PCR instead of single-round PCR enabled improvement of trypanosome infections detection in both tsetse and mammals. Among the sets of ITS1-primers tested, those designed by to amplify ITS1-A can be considered as the most appropriate for the detection of trypanosome infections in mammals and tsetse flies.

The internal transcribed spacer 1 sequence polymorphism brings updates to tsetse species distribution in the northern Cameroon: Importance in planning efficient vector control.

Vector control remains one of the best strategies to prevent the transmission of trypanosome infections in humans and livestock and, thus, a good way to achieve the elimination of human African trypanosomiasis and animal African trypanosomiasis. A key prerequisite for the success of any vector control strategy is the accurate identification and correct mapping of tsetse species. In this work, we updated the tsetse fly species identification and distribution in many geographical areas in Cameroon. Tsetse flies were captured from six localities in Cameroon, and their species were morphologically identified. Thereafter, DNA was extracted from legs of each tsetse fly and the length polymorphism of internal transcribed spacer-1 (ITS1) region of each fly was investigated using PCR. ITS1 DNA fragments of each tsetse species were sequenced. The sequences obtained were analysed and compared to those available in GenBank. This enabled to confirm/infirm results of the morphologic identification and then, to establish the phylogenetic relationships between tsetse species. Morphologic features allowed to clearly distinguish all the tsetse species captured in the South Region of Cameroon, that is, Glossina palpalis palpalis, G. pallicera, G. caliginea and G. nigrofusca. In the northern area, G. morsitans submorsitans could also be distinguished from G. palpalis palpalis, G. tachinoides and G. fuscipes, but these three later could not be distinguished with routine morphological characters. The ITS1 length polymorphism was high among most of the studied species and allowed to identify the following similar species with a single PCR, that is, G. palpalis palpalis with 241 or 242 bp and G. tachinoides with 221 or 222 bp, G. fuscipes with 236 or 237 bp. We also updated the old distribution of tsetse species in the areas assessed, highlighting the presence of G. palpalis palpalis instead of G. fuscipes in Mbakaou, or in sympatry with G. morsitans submorsitans in Dodeo (northern Cameroon). This study confirms the presence of G. palpalis palpalis in the Adamawa Region of Cameroon. It highlights the limits of using morphological criteria to differentiate some tsetse species. Molecular tools based on the polymorphism of ITS1 of tsetse flies can differentiate tsetse species through a simple PCR before downstream analyses or vector control planning.