Roberto Amato

This study identifies parasite-intrinsic transcriptional programs associated with severe P. knowlesi malaria through integrative GWAS, transcriptomic, and eQTL analyses of clinical isolates.

The paper analyzes P. knowlesi genomes from Sabah, Malaysia, to identify genetic subpopulations and introgression events linked to environmental factors and host adaptation.

The paper develops a molecular barcode and online tool to identify and map imported Plasmodium vivax infections using SNP analysis and machine learning.

This study identifies pfaat1 as a key gene in chloroquine resistance evolution in malaria parasites, showing it modulates resistance and fitness through amino acid transport.

The paper investigates the association between host sickle cell haemoglobin and parasite genetic variation in malaria severity, finding that parasite alleles linked to HbS show strong linkage disequilibrium and frequency covariation with HbS.

This study analyzes within-host genetic diversity in 1,181 SARS-CoV-2 samples, finding high mutation rates, strand asymmetries, and purifying selection, with implications for transmission chain reconstruction.

MAJORA enables decentralized sequencing and integration of SARS-CoV-2 genomic data and metadata across the COG-UK network, supporting rapid genomic surveillance.

The paper develops and validates PCR assays to detect plasmepsin 2/3 and pfmdr1 copy number variations in Plasmodium falciparum field isolates, finding increasing plasmepsin 2/3 duplications and loss of pfmdr1 mutations in Cambodia.

The paper presents an open dataset of Plasmodium falciparum genome variation from 7,000 worldwide samples, revealing widespread drug resistance and geographic genetic differentiation.

This study identifies kelch13 mutations associated with artemisinin resistance in Southeast Asia and finds low frequency of these mutations in Africa, suggesting different evolutionary pressures.