Biology subjects

Djimde, A.

Publications and source records attributed to Djimde, A..

5 recordsLinked to original sources

bioRxiv2024

Disparate co-evolution and prevalence of sulfadoxine and pyrimethamine resistance alleles and haplotypes at dhfr and dhps genes across Africa

Sulfadoxine-pyrimethamine (SP), despite the emergence and spread of mutations in dhfr and dhps genes associated with lower treatment efficacy, is still recommended alone or in combination by the WHO for preventive treatment in pregnant women, children and infants. Therefore, it is important to understand the evolution of P. falciparum dhfr and dhps genes. Here, we used a subset of the MalariaGEN Pf7 dataset to describe haplotype frequencies across 22 African countries, including changes over time in The Gambia, Mali, Ghana and Kenya. We show that the triple mutant of dhfr, N51I/C59R/S108N, has remained the dominant haplotype across the continent with limited evidence of additional mutations. There is greater variation for dhps, with a total of 51 different haplotypes present. The dhps resistance mutation A437G has risen close to fixation across most of Africa, although at a lower frequency in the northwest malaria-endemic part of the continent (Gambia, Senegal and Mali). The A437G mutation is usually found together with K540E in East Africa, but K540E is still very rare in West Africa. Although samples from Madagascar have low genetic differentiation from samples from mainland East Africa at the whole genome level, we show that dhps K540E is highly differentiated between the two populations, being at very low frequency in Madagascar (4%). We used whole genome data to show that only 12 SNPs are more highly differentiated than K540E between Madagascar and East Africa, with aat1 and a possible novel drug resistance locus approximately 20kb 3 of mdr1 having even higher FST. We highlight the value of longitudinal sampling and whole genome sequence data for understanding the heterogeneity and ongoing changes in anti-malarial drug resistance genetic markers.

genomics↗

bioRxiv2024

Regional Plasmodium falciparum subpopulations and malaria transmission connectivity in Africa were detected with an enlarged panel of genome-wide microsatellite loci

Unravelling the genetic diversity of Plasmodium falciparum malaria parasite provides critical information on how populations are affected by interventions and the environment, especially the evolution of molecular markers associated with parasite fitness and adaptation to drugs and vaccines. This study expands previous studies based on small sets of microsatellite loci, which often showed limited substructure in African populations of P. falciparum. Combining several short tandem repeat detection algorithms, we genotyped and analysed 2329 polymorphic microsatellite loci from next-generation sequences of 992 low-complexity P. falciparum isolates from 15 sub-Saharan African countries. Based on pairwise relatedness, we identified seven subpopulations and gene flow between the Central and Eastern African populations. The most divergent subpopulation was from Ethiopia, while unexpected unique subpopulations from Gabon and Malawi were resolved. Isolates from the Democratic Republic of Congo shared ancestry with multiple regional populations, suggesting a possible founder population of P. falciparum from the Congo basin, where there was stronger geneflow eastwards to Tanzania, and Kenya. and Malawi. The most differentiated microsatellite loci were those around the P. falciparum dihydropteroate synthase (Pfdhps) gene associated with sulphadoxine resistance. Haplotypes around the Pfdhps gene separated the West, Central, and East Africa parasite populations into distinct clusters, suggesting independent local evolution of Pfdhps-associated sulphadoxine resistance alleles in each African region. Overall, this study presents genome-wide microsatellites as markers for resolving P. falciparum population diversity, structure, and evolution in populations like Africa, where there is high gene flow.

genomics↗

bioRxiv2024

A complex Plasmodium falciparum cryptotype circulating at low frequency across the African continent

The population structure of the malaria parasite Plasmodium falciparum can reveal underlying demographic and adaptive evolutionary processes. Here, we analyse population structure in 4,376 P. falciparum genomes from 21 countries across Africa. We identified a strongly differentiated cluster of parasites, comprising [~]1.2% of samples analysed, geographically distributed over 13 countries across the continent. Members of this cluster, named AF1, carry a genetic background consisting of a large number of highly differentiated variants, rarely observed outside this cluster, at a multitude of genomic loci distributed across most chromosomes. At these loci, the AF1 haplotypes appear to have common ancestry, irrespective of the sampling location; outside the shared loci, however, AF1 members are genetically similar to their sympatric parasites. AF1 parasites sharing up to 23 genomic co-inherited regions were found in all major regions of Africa, at locations over 7,000 km apart. We coined the term cryptotype to describe a complex common background which is geographically widespread, but concealed by genomic regions of local origin. Most AF1 differentiated variants are functionally related, comprising structural variations and single nucleotide polymorphisms in components of the MSP1 complex and several other genes involved in interactions with red blood cells, including invasion and erythrocyte antigen export. We propose that AF1 parasites have adapted to some as yet unidentified evolutionary niche, by acquiring a complex compendium of interacting variants that rarely circulate separately in Africa. As the cryptotype spread across the continent, it appears to have been maintained mostly intact in spite of recombination events, suggesting a selective advantage. It is possible that other cryptotypes circulate in Africa, and new analysis methods may be needed to identify them.

genomics↗

bioRxiv2021

Sequencing SARS-CoV-2 in a malaria research laboratory in Mali, West Africa: the road to sequencing the first SARS-CoV-2 genome in Mali

Next generation sequencing (NGS) has become a necessary tool for genomic epidemiology. Even though the utility of genomics in human health has been proved, the genomic surveillance has never been so important until the COVID 19 pandemic. This has been evidenced with the detection of new variants of SARS-CoV-2 in the United Kingdom, South Africa and Brazil recently using genomic surveillance. Until recently, Malian scientists did not have access to any local NGS platform and samples had to be shipped abroad for sequencing. Here, we report on how we adapted a laboratory setup for Plasmodium research to generate the first complete SARS-CoV-2 genome locally. Total RNA underwent a library preparation using an Illumina TruSeq stranded RNA kit. A metagenomics sequencing was performed on an Illumina MiSeq platform following by bioinformatic analyses on a local server in Mali. We recovered a full genome of SARS-CoV-2 of 29 kb with an average depth coverage of 200x. We have demonstrated our capability of generating a high quality genome with limited resources and highlight the need to develop genomics capacity locally to solve health problems. We discuss challenges related to access to reagents during a pandemic period and propose some home-made solutions.

genomics↗

bioRxiv2019

High prevalence of Plasmodium malariae from hospital and communities in a high malaria transmission setting of Southern Nigeria

While Plasmodium falciparum continues to be the main target for malaria elimination, other Plasmodium species persist in Africa. Their clinical diagnosis is uncommon while rapid diagnostic tests (RDTs), the most widely used malaria diagnostic tool, are only able to distinguish between P. falciparum and non-falciparum species, the latter as pan-species. Blood samples, both from clinical cases and communites, were collected in southern Nigeria (Lagos and Calabar) in 2017 (October-December) and 2018 (October-November), and analysed by several methods, namely microscopy, quantitative real-time PCR (qPCR), and peptide serology targeting candidate antigens (PmAMA1, PmLDH and PmCSP). The sensitivity of the diagnostic approaches for the dominant P. falciparum were comparable, detecting approx. 80% infection, but not so for non-falciparum species - 3% and 10% infection for P. malariae; 0% and 3% infection for P. ovale by microscopy and qPCR respectively, across communities. P. ovale prevalence was less than 5%. Infection rates for P. malariae varied between age groups, with the highest rates in individuals > 5 years. P. malariae specific seroprevalence rates fluctuated in those < 10 years but generally reached the peak around 20 years of age for all peptides. The heterogeneity and rates of these non-falciparum species calls for increased specific diagnosis and targeting by elimination strategies.

microbiology↗