Biology subjects

de Villiers, S.

Publications and source records attributed to de Villiers, S..

4 recordsLinked to original sources

bioRxiv2025

Pan-genome analyses of 226 finger millet-infecting Magnaporthe oryzae strains from eastern Africa reveal two lineages that differ in their genetic make-up, virulence and effector gene content with gene loss driven by homologous recombination between Pot2 elements

Blast disease, caused by the filamentous ascomycete Magnaporthe oryzae, is the main biotic constraint to finger millet production in eastern Africa. M. oryzae is a pathogen on many grass species, but the high host-specificity of blast isolates underscores the need to study pathogen diversity and virulence at the host level. Here, we fill a void on knowledge on finger millet-infecting strains of M. oryzae by sequencing 226 isolates pure-cultured from infected tissues, mainly peduncles and panicles, sampled from field-grown finger millet accessions across Ethiopia, Kenya, Tanzania and Uganda. Phylogenetic analysis showed that eastern African isolates are genetically distinct from Asian isolates, and differentiated into two groups potentially driven by climate variables. One group was dominated by isolates from Kenya and Uganda (KU group), and the other by isolates from Ethiopia and Tanzania (ET group). Analysis of the portfolio of 887 predicted effector genes showed that the KU group had significantly fewer effectors, concomitant with higher virulence levels on the two finger millet accessions tested. We demonstrate that homologous recombination between transposable elements, leading to genomic deletions, plays a key role in gene removal. Transcript profiling of fungal genes in compatible and incompatible interactions revealed upregulation in the incompatible interaction as a characteristic of an estimated 30% of effector genes, including seven of the eight homologs of known avirulence genes from rice-infecting M. oryzae identified in our study. Prioritization of these effectors for functional validation will pave the way for identifying cognate resistance genes and improving finger millet for resistance to blast disease.

plant biology↗

bioRxiv2023

Assessing HLA imputation accuracy in a West African population

The Human Leukocyte Antigen (HLA) region plays an important role in autoimmune and infectious diseases. HLA is a highly polymorphic region and thus difficult to impute. We therefore sought to evaluate HLA imputation accuracy, specifically in a West African population, since they are understudied and are known to harbor high genetic diversity. The study sets were selected from Gambian individuals within the Gambian Genome Variation Project (GGVP) Whole Genome Sequence datasets. Two different arrays, Illumina Omni 2.5 and Human Hereditary and Health in Africa (H3Africa), were assessed for the appropriateness of their markers, and these were used to test several imputation panels and tools. The reference panels were chosen from the 1000 Genomes dataset (1kg-All), 1000 Genomes African dataset (1kg-Afr), 1000 Genomes Gambian dataset (1kg-Gwd), H3Africa dataset and the HLA Multi-ethnic dataset. HLA-A, HLA-B and HLA-C alleles were imputed using HIBAG, SNP2HLA, CookHLA and Minimac4, and concordance rate was used as an assessment metric. Overall, the best performing tool was found to be HIBAG, with a concordance rate of 0.84, while the best performing reference panel was the H3Africa panel with a concordance rate of 0.62. Minimac4 (0.75) was shown to increase HLA-B allele imputation accuracy compared to HIBAG (0.71), SNP2HLA (0.51) and CookHLA (0.17). The H3Africa and Illumina Omni 2.5 array performances were comparable, showing that genotyping arrays have less influence on HLA imputation in West African populations. The findings show that using a larger population-specific reference panel and the HIBAG tool improves the accuracy of HLA imputation in West African populations. Author SummaryFor studies that associate a particular HLA type to a phenotypic trait for instance HIV susceptibility or control, genotype imputation remains the main method for acquiring a larger sample size. Genotype imputation, process of inferring unobserved genotypes, is a statistical technique and thus deals with probabilities. Also, the HLA region is highly variable and therefore difficult to impute. In view of this, it is important to assess HLA imputation accuracy especially in African populations. This is because the African genome has high diversity, and such studies have hardly been conducted in African populations. This work highlights that using HIBAG imputation tool and a larger population-specific reference panel increases HLA imputation accuracy in an African population.

bioinformatics↗

bioRxiv2020

Molecular Ecology of Coral Reef Microorganisms in the Western Indian Ocean coast of Kenya

Coral reefs face increased environmental threats from anthropomorphic climate change and pollution, from agriculture, industries and tourism. They are economically vital for many people worldwide, and harbour a fantastically diverse ecosystem, being the home for many species of fish and algae. Surprisingly little is known about the microbial communities living in and in the surrounding of coral reefs. Here we employ high throughput sequencing for investigating the bacteria living in the water column and upper sediment layer in close proximity to coral reefs on the Kenyan coast of the West Indian Ocean. We show that while the read-level taxonomic distribution of bacteria is similar with ones obtained from 16S metabarcoding, whole metagenome sequencing provides valuable functional insights not available with 16S metabarcoding. We find evidence of pollution, marked by the presence of Vibrio and more importantly the presence of antibiotic resistance notably to vancomycin, that we attribute to the use of avoparcin in agriculture. Additionally, 175 bacterial genomes not previously sequenced were discovered. Our study is the first whole-metagenome study from the West Indian Ocean, provides a much-needed baseline to study microbes surrounding coral reefs under different conditions as well as the microbiome of coral reefs.

ecology↗

bioRxiv2019

A peek into Western Indian Ocean microbial richness: a pilot for a coral microbiome study

Microbial communities are essential components of natural ecosystems. Of the global oceans, the Indian Ocean remains the least studied in terms of its microbial diversity, despite it being a highly dynamic tropical water body. Metagenomics methods have significantly advanced studies in marine microbial ecology in recent years. Preliminary metabarcoding assessments are recommended to mitigate against the associated costs, prior to the metagenomics study, to give an impression of the diversity expected and determine the sequencing effort required.\n\nWe report here the first metabarcoding survey of bacterial diversity of the western Indian Ocean (WIO) using samples used for optimizing environmental DNA (eDNA) isolation as pilot experiment for a metagenomic study investigating the coral-reef microbiome of the region. Sampling of water and sediment samples was done near-shore sublittoral and within the coral reef.\n\nAbout 3,000 microbial ribotypes were inferred, from which 41 phyla were uncovered. Sediments registered higher alpha diversity than seawater samples. The phylum Proteobacteria was dominant with its members constituting over 60% of the ribosomal sequence variants (RSVs). The other abundant bacteria were members of Bacteroidetes and Cyanobacteria phyla. We identified bacterial species with potential broad biotechnological applications, underscoring the WIOs richness and the usefulness of eDNA metabarcoding approaches in bioprospecting as well as monitoring and/or surveying marine ecosystems.

genomics↗