Biology subjects

Beleza, S.

Publications and source records attributed to Beleza, S..

6 recordsLinked to original sources

bioRxiv2026

Genomic variation and ancestry of Helicobacter pylori in the admixed population of Cabo Verde reveal host adaptation, limited host-pathogen ancestry concordance, and signatures of trans-Atlantic slave trade migrations

The genomic structure of the stomach-colonising, gastric cancer-associated bacterium Helicobacter pylori mirrors human evolutionary history, making it difficult to disentangle shared ancestry from true host-pathogen interactions driving disease risk. Recently admixed populations offer opportunities for new coevolutionary trajectories between H. pylori and its host that may disrupt parallel evolution. Here, we analyse host H. pylori IgG, blood serum biomarkers, and paired host-bacterial genomic data from the general population (independent of dyspepsia symptoms) of Cabo Verde. Seropositivity is high (82.8%), as in neighbouring African populations. Serum biomarkers indicate that this unique cohort mainly comprises hosts with limited gastric inflammation. Genomic analyses show that Cabo Verdean H. pylori derive European (hspSWeurope) and West African (hspAfrica1WAfrica) ancestry. The delineation of a reference dataset that includes new strains from Ghana and Portugal, uncovered a distinct West-Central African cluster (hspAfrica1WCAfrica). This dataset allowed inference of within-Africa and within-Europe ancestries in Cabo Verdean and American strains that reflect historical migrations linked to European colonisation and the trans-Atlantic Slave Trade. European strains in Cabo Verde show additional population structure, including two low-diversity clusters. Approximate Bayesian Computation (ABC) inference indicates that the most common cluster represents a clonal expansion, likely driven by host adaptation leading to increased transmission within Cabo Verde. Notably, these strains lack known virulence genes and show significant divergence from gastric cancer strains. Finally, host and bacterial ancestry are uncoupled, indicating disruption of ancestral parallel evolution. Cabo Verde, therefore, provides a unique natural model for studying host-pathogen interactions underlying susceptibility to H. pylori.

evolutionary biology↗

bioRxiv2023

Long-term evolution of Streptococcus mitis and Streptococcus pneumoniae leads to higher genetic diversity within rather than between human populations

Evaluation of the apportionment of genetic diversity of bacterial commensals within and between populations is an important step in the characterization of their evolutionary potential. Recent studies showed a correlation between the genomic diversity of human commensal strains and that of their host, but the strength of this correlation and of the geographic structure among populations is a matter of debate. Here, we studied the genomic diversity and evolution of the phylogenetically related oronasopharingeal healthy-carriage Streptococcus mitis and Streptococcus pneumoniae, whose lifestyles range from stricter commensalism to high pathogenic potential. A total of 119 S. mitis genomes showed higher within- and among-host variation than 810 S. pneumoniae genomes in European, East Asian and African populations. Summary statistics of the site-frequency spectrum for synonymous and non-synonymous variation and ABC modelling showed this difference to be due to higher historical population effective size (Ne) in S. mitis, whose genomic variation been maintained close to mutation-drift equilibrium across (at least many) generations, whereas S. pneumoniae has been expanding from a smaller ancestral population and has been subjected to adaptive selection. Strikingly, both species show limited differentiation among populations. As genetic differentiation is inversely proportional to the product of effective population size and migration rate (Nem), we argue that large Ne have led to similar differentiation patterns, even if m is very low for S. mitis. We conclude that more diversity within than among human populations and limited population differentiation must be common features of the human microbiome due to large Ne.

evolutionary biology↗

bioRxiv2022

Whole-genome sequencing of Bantu-speakers from Angola and Mozambique reveals complex dispersal patterns and interactions throughout sub-Saharan Africa

As the continent of origin for our species, Africa harbours the highest levels of diversity anywhere on Earth. This trove of diversity provides rich opportunities to discover unknown genomic variation and explore how human populations have moved and interacted on the continent over thousands of years. However, many regions of Africa remain under-sampled. Here we present the first collection of whole-genomes from Angola and Mozambique, enabling the construction of a high-quality reference variation catalogue including three million novel SNPs. Leveraging the power and flexibility of whole-genome sequencing data, we model the development and continuity of Bantu-population structure through time, widespread admixture involving source populations from these regions across sub-Saharan Africa, and the heterogeneous population histories of Western and Eastern Bantu-speakers. In contrast to depictions of the Bantu expansion as a single, continuous macro-event, we recover evidence of admixture among distinct Bantu-speaking groups in South-Eastern Africa and bring together concordant patterns from linguistics and archaeology to paint a more complex picture of Iron Age migrations into the region. Moreover, we generate reference panels that better represents the complete diversity of African populations involved in the Atlantic slave trade, improving imputation accuracy in African Americans and Brazilians over the 1000 Genomes Project. This study fills important gaps in the current record of global genetic diversity and informs on the most significant demographic events in the recent history of Africa. We anticipate that our collection of genomes will form the foundation for future genomic healthcare initiatives involving under-represented communities in Angola and Mozambique.

genomics↗

bioRxiv2020

Sex-biased admixture and assortative mating shape genetic variation and influence demographic inference in admixed Cabo Verdeans

Genetic data can provide insights into population history, but first we must understand the patterns that complex histories leave in genomes. Here, we consider the admixed human population of Cabo Verde to understand the patterns of genetic variation left by social and demographic processes. First settled in the late 1400s, Cabo Verdeans are admixed descendants of Portuguese colonizers and enslaved West African people. We consider Cabo Verdes well-studied historical record alongside genome-wide SNP data from 563 individuals from 4 regions within the archipelago. We use genetic ancestry to test for patterns of nonrandom mating and sex-specific gene flow, and we examine the consequences of these processes for common demographic inference methods and for genetic patterns. Notably, multiple population genetic tools that assume random mating underestimate the timing of admixture, but incorporating non-random mating produces estimates more consistent with historical records. We consider how admixture interrupts common summaries of genomic variation such as runs-of-homozygosity (ROH). While summaries of ROH may be difficult to interpret in admixed populations, differentiating ROH by length class shows that ROH reflect historical differences between the islands in their contributions from the source populations and post-admixture population dynamics. Finally, we find higher African ancestry on the X chromosome than on the autosomes, consistent with an excess of European males and African females contributing to the gene pool. Considering these genomic insights into population history in the context of Cabo Verdes historical record, we can identify how assumptions in genetic models impact inference of population history more broadly.

evolutionary biology↗

bioRxiv2020

Shifts in antimalarial drug policy since 2006 have rapidly selected P. falciparum resistance alleles in Angola

BACKGROUNDPlasmodium falciparum resistance to chloroquine (CQ), the most widely used antimalarial drug, has historically posed a major threat to malaria control in Angola and throughout the world. Although Angola replaced CQ with artemisinin combination therapy (ACT) as a frontline treatment in 2006, malaria cases and deaths have recently been rising. CQ-resistance mutations may still be a contributing factor, given that (1) some also modulate resistance to ACT partner drugs and (2) ACT is not yet consistently implemented across Angola. It is important to continue monitoring all known resistance alleles in P. falciparum, but no studies have done so in Angola since 2012. METHODSWe sampled P. falciparum DNA from the blood of 50 hospital patients in Cabinda, Angola in 2018. Each infection was genotyped for 13 alleles in the genes crt, mdr1, dhps, dhfr, and kelch13, which collectively confer resistance to six common drugs. To analyze frequency trajectories over time, we also collated P. falciparum genotype data published from across Angola in the last two decades. RESULTSThe two most important alleles for CQ resistance, crt 72-76CVIET and mdr1 86Y, have both declined in frequency from respective highs of 98% in 1999 and 73% in 2003. However, the former remains at 71% frequency in this sample while the latter has dropped to just 7%. Of seven possible alleles for sulfadoxine-pyrimethamine (SP) resistance in dhps and dhfr, the average total number per isolate increased from 2.9 in 2004 to 4.4 in 2018. Finally, we detected no non-synonymous polymorphisms in kelch13, which is involved in artemisinin resistance in Southeast Asia. CONCLUSIONSChanges in drug policy in Angola since 2006 appear to have exerted strong selection on P. falciparum drug resistance alleles. Resistance to CQ is declining, but due to functional tradeoffs and novel selection at mdr1 loci, resistance to ACT partner drugs appears to be rising. More haplotype-based studies at mdr1 will be needed to understand the changing efficacy of multiple drugs. Finally, SP resistance has jumped rapidly since 2014, consistent with widespread use of intermittent SP treatment during pregnancy. These data can be used to support effective drug policy decisions in Angola.

evolutionary biology↗

bioRxiv2020

Rapid adaptation to malaria facilitated by admixture in the human population of Cabo Verde

Humans have undergone large migrations over the past hundreds to thousands of years, exposing ourselves to new environments and selective pressures. Yet, evidence of ongoing or recent selection in humans is difficult to detect. Many of these migrations also resulted in gene flow between previously separated populations. These recently admixed populations provide unique opportunities to study rapid evolution in humans. Developing methods based on distributions of local ancestry, we demonstrate that this sort of genetic exchange has facilitated detectable adaptation to a malaria parasite in the admixed population of Cabo Verde within the last [~]20 generations. We estimate the selection coefficient is approximately 0.08, one of the highest inferred in humans. Notably, we show that this strong selection at a single locus has likely affected patterns of ancestry genome-wide, potentially biasing demographic inference. Our study provides evidence of adaptation in a human population on historical timescales.

evolutionary biology↗