Malaria Research and Control

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.

This study demonstrates that Nanopore sequencing provides accurate SNV calls and detects structural variants in malaria parasite genomes, comparable to Illumina sequencing, and enables real-time, field-deployable whole genome sequencing.

Varia predicts var gene sequences and domain compositions from short sequence tags, enabling analysis of var gene expression in Plasmodium falciparum.

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

This paper develops a method to efficiently profile the transcriptome of the malaria parasite Plasmodium falciparum across its erythrocytic cycle using flow sorting.

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 examines biting and resting preferences of malaria vectors in The Gambia, finding that An. arabiensis prefers outdoor resting while An. coluzzii prefers indoor resting, with associated insecticide resistance mutations.

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 investigates how genetic alterations in SufS or FNR genes affect LM and PQ resistance in P. berghei and shows that these changes restore LM susceptibility and negate chemosensitizer effects.

The paper uses bulk segregant analysis to identify genetic loci affecting malaria parasite growth in different media, finding EBA-140 as a key gene involved in media-dependent fitness.

The paper tests a PCR-RFLP protocol to detect Plasmodium vivax in a howler-monkey liver sample and finds it fails to distinguish between Plasmodium simium and P. vivax in the Atlantic Forest region.

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 compares machine learning methods for malaria outbreak detection using environmental and epidemiological data from Maharashtra, India, achieving zero false positives and negatives in testing.

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 analyzes genetic diversity and relationships of Plasmodium vivax isolates from Sudan using microsatellite markers, revealing high diversity and potential recent introductions from Asia.

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 models the distance to delivering IRS implementation strategies in Zambia, finding that risk prioritization strategies vary in their distance estimates and do not necessarily correlate with remoteness.

The paper uses computational methods to identify potential inhibitors of MSP-1 in P. vivax, suggesting new therapeutic targets for malaria treatment.