Malaria Research and Control

The paper identifies a resistance mechanism to pirimiphos-methyl in Anopheles mosquitoes through duplication and introgression of the Ace1 locus, showing its spread in West Africa.

This study evaluates insecticide resistance in malaria vectors and the efficacy of pirimiphos-methyl IRS in southwest Burkina Faso, finding it effective for at least 7 months.

The paper develops a gene regulatory network model for Plasmodium falciparum using machine learning, showing it predicts gene expression and identifies correlates of artemisinin resistance.

The paper uses genetic modeling to analyze the evolutionary origins of dihydrofolate reductase mutations in Plasmodium vivax, finding single and multiple origins for different mutations.

This paper shows that genetic changes in Plasmodium vivax help it survive in Anopheles stephensi by manipulating mosquito tissue-specific immune responses through RNAseq analysis.

The paper presents a chromosome-level genome assembly of Anopheles stephensi, revealing high genetic diversity and insights into olfactory receptors and chromosomal evolution.

The paper assesses insecticide resistance in Anopheles coluzzii, finding over-expression of CYP6P4, CYP6P3, and CYP6Z1 linked to reduced LLIN efficacy and pyrethroid resistance.

The paper investigates the association of RNASE 3 polymorphisms with severe malaria in an Indian population and finds a significant haplotype correlation with severe malaria.

The paper analyzes genetic diversity and drug resistance mutations in Tanzanian Plasmodium falciparum isolates using molecular inversion probes, revealing population structure and geographic patterns of genetic relatedness.

This study analyzes whole genome sequences of Plasmodium vivax isolates from Ethiopia to identify sequence and structural polymorphisms in erythrocyte binding genes, revealing positive selection and gene copy number variations associated with host-parasite interactions.

This paper warns against using unsupervised machine learning algorithms like PCoA and HAC to infer malaria parasite ancestry from genetic distance matrices, highlighting their limitations and providing guidance for more rigorous analysis.

This study analyzes P. vivax schizont transcriptomes from field isolates, revealing gene expression heterogeneity and identifying genes involved in host-parasite interactions.

The paper analyzes genome variation in 1,142 Anopheles mosquitoes to study population structure and insecticide resistance.

This study investigates how metabolic resistance genes affect blood feeding in Anopheles funestus, finding that CYP6P9a resistance increases blood feeding success and meal size.

The paper shows that Dantu blood group variant increases red blood cell tension, reducing Plasmodium falciparum invasion and protecting against severe malaria.

The paper develops a method to sequence microhaplotypes from Plasmodium falciparum heterozygomes, achieving high coverage, specificity, and sensitivity for detecting polyclonal infections.

This paper develops an agent-based model to study insecticide resistance and gene drive impacts on malaria transmission in Anopheline populations.

The paper redesigns a TetR-aptamer system to improve stability and efficiency in controlling gene expression in Plasmodium falciparum.

The paper presents genomic and transcriptomic evidence showing Hepatocystis parasites are closely related to Plasmodium but lack blood replication and have lost genes involved in red blood cell invasion.

The paper develops tag SNPs to genotype chromosomal inversions in Anopheles gambiae mosquitoes, showing molecular methods are as accurate as cytogenetics and more scalable.

This study develops DAFT-seq, an amplification-free RNA-seq protocol for P. falciparum, refining the transcriptome by improving coverage of AT-rich regions and identifying new transcriptional features.

This study evaluates how irradiation affects the survival and pathogen transmission ability of female Anopheles arabiensis mosquitoes exposed to Plasmodium falciparum.

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.

This paper develops a multiplex qPCR assay to detect Plasmodium falciparum and identify pfhrp2 and pfhrp3 deletions in field samples with high sensitivity and specificity.

This study analyzes the genetic structure of Plasmodium falciparum in the DRC, identifying an east-west haplotype divide linked to antimalarial resistance and evidence of gene flow and selection pressures.

The paper shows that Plasmodium falciparum strains use different invasion strategies based on red blood cell age and accessibility, revealing specialist and generalist behaviors affecting parasitemia.

The paper investigates epigenetic regulation in Plasmodium berghei during its developmental transition, identifying HP1 and H3K9ac roles in gene expression and uncovering DNA motifs associated with ookinete-specific genes.

The paper introduces a metabarcoded DNA sequencing method for detecting Plasmodium species in human malaria patients, showing improved diagnostic performance compared to an immunochromatographic assay.

The paper models residual Plasmodium vivax malaria transmission in the Amazon Basin, finding that 20% of hosts contribute 86% of the malaria burden through high-risk individuals.

This paper develops ensemble machine learning models to predict Artemisinin resistance and parasite clearance rates in Plasmodium falciparum isolates using transformed data and preprocessing techniques.