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Araujo, I. I.

Publications and source records attributed to Araujo, I. I..

2 recordsLinked to original sources

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↗

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↗