Malaria parasites can readily sense and adapt to environmental changes, thus making the control and eradication of this disease difficult. Molecular studies have unraveled a very tightly coordinated transcriptional machinery governed by complex regulatory mechanisms including chromatin modification and spatiotemporal compartmentalization. Histone modifying enzymes play key roles in the regulation of chromatin modification and gene expression, which are associated with cell cycle progression, antigenic variation and immune evasion. Here, we present a comprehensive review of the key regulators of the Plasmodium falciparum histone acetylome; histone acetyltransferases (HATs); and histone deacetylases (HDACs). We describe the genome-wide occurrence of HATs and HDACs in the P. falciparum genome and identify novel, as well as previously unclassified HATs. We re-confirm the presence of five known HDACs and identify, a novel putative HDAC. Interestingly, we identify several HATs and HDACs with unique and noncanonical domain combinations indicating their involvement in other associated functions. Moreover, the phylogenetic analyses of HATs and HDACs suggest that many of them are close to the prokaryotic systems and thus potential candidates for drug development. Our review deciphers the phylogeny of HATs and HDACs of the malaria parasite, investigates their role in drug-resistance generation, and highlights their potential as therapeutic targets.
There is an urgent need to clearly understand the mechanisms of ART resistance as it is emerging in the Greater Mekong Subregion (GMS) and other parts of the world, such as Africa. Deciphering the mechanisms of the parasite’s stress response pathways of ART resistance will provide insights to identify novel drug targets for developing new antimalarial regimens.
Plasmodium falciparum infects millions and kills thousands of people annually the world over. With the emergence of artemisinin and/or multidrug resistant strains of the pathogen, it has become even more challenging to control and eliminate the disease. Multiomics studies of the parasite have started to provide a glimpse into the confounding genetics and mechanisms of artemisinin resistance and identified mutations in Kelch13 (K13) as a molecular marker of resistance. Over the years, thousands of genomes and transcriptomes of artemisinin-resistant/sensitive isolates have been documented, supplementing the search for new genes/pathways to target artemisinin-resistant isolates. This meta-analysis seeks to recap the genetic landscape and the transcriptional deregulation that demarcate artemisinin resistance in the field. To explore the genetic territory of artemisinin resistance, we use genomic single-nucleotide polymorphism (SNP) datasets from 2,517 isolates from 15 countries from the MalariaGEN Network (The Pf3K project, pilot data release 4, 2015) to dissect the prevalence, geographical distribution, and co-existing patterns of genetic markers associated with/enabling artemisinin resistance. We have identified several mutations which co-exist with the established markers of artemisinin resistance. Interestingly, K13-resistant parasites harbor α-ß hydrolase and putative HECT domain–containing protein genes with the maximum number of SNPs. We have also explored the multiple, publicly available transcriptomic datasets to identify genes from key biological pathways whose consistent deregulation may be contributing to the biology of resistant parasites. Surprisingly, glycolytic and pentose phosphate pathways were consistently downregulated in artemisinin-resistant parasites. Thus, this meta-analysis highlights the genetic and transcriptomic features of resistant parasites to propel further exploratory studies in the community to tackle artemisinin resistance.
In October 2021, 59 scientists from 14 countries and 13 U.S. states collaborated virtually in the Third Annual Baylor College of Medicine & DNANexus Structural Variation hackathon. The goal of the hackathon was to advance research on structural variants (SVs) by prototyping and iterating on open-source software. This led to nine hackathon projects focused on diverse genomics research interests, including various SV discovery and genotyping methods, SV sequence reconstruction, and clinically relevant structural variation, including SARS-CoV-2 variants. Repositories for the projects that participated in the hackathon are available at https://github.com/collaborativebioinformatics.
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