Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.04.12.536525

Fine-scale adaptive divergence of Aedes aegypti in heterogeneous landscapes and among climatic conditions in Metropolitan Manila, Philippines

Abstract

The adaptive divergence of Aedes aegypti populations to heterogeneous environments may be a driving force behind the recent expansion of their habitat distribution and outbreaks of dengue disease in urbanized areas. In this study, we investigated the population genomics of Ae. aegypti at a regional scale in Metropolitan Manila, Philippines using double digestion restriction-site association DNA sequencing (ddRAD-Seq). Specifically, we used a Pool-Seq approach to generate a high number of single nucleotide polymorphisms (SNPs), which were used to determine local adaptation and population structure. We detected 65,473 SNPs in 217 Ae. aegypti individuals from 14 populations with 76 non-neutral SNP loci. Additionally, 57 of these non-neutral SNP loci were associated with 8 landscape variables (e.g., open space, forest, etc) and 4 climate variables (e.g., air temperature, humidity, etc). Furthermore, the percentage of the area of landscape variables, such as forest, parks and recreation, air temperature, man-made building, and open space per local population was frequently associated with non-neutral SNP loci. Most non-neutral SNP loci formed four clusters that were in linkage disequilibrium with each other in physical proximity on the chromosome and were associated with a common environmental variable. Male and female populations exhibited contrasting spatial divergence, i.e., males exhibited greater divergence, likely reflecting their different dispersal abilities. In comparative analysis of the same Ae. aegypti individuals, the pairwise FST values of 11 microsatellite markers were lower than those of neutral SNP loci, indicating that the neutral SNP loci generated via ddRAD-Seq were more sensitive in terms of detecting genetic differences between populations at fine-spatial scales. Overall, this study demonstrates the utility of ddRAD-Seq for examining genetic differences in Ae. aegypti populations, and our data on mosquito dispersal at a regional spatial scale could inform vector control programs. Author SummaryThe population expansion of dengue vector, Aedes aegypti mosquitoes is one of the factors that may promote the outbreak of the diseases. Understanding the population genomics of Ae.aegypti may contribute to better knowledge about mosquito expansion and how they can adapt to the change in environment. In this study, we used pool-based ddRAD-Seq (Double Digest Restriction site Association DNA Sequencing) to generate SNPs that occur between the Ae.aegypti populations in Metropolitan Manila, Philippines. We found that non-neutral SNP loci are frequently associated with landscape variables compared to climatic variables. Landscape variables such as forest, park and recreation, air temperature, man-made building and open space are more frequently associated with non-neutral SNPs loci. Those landscape variables may relate to the mosquitos fitness, therefore, induce the adaptive divergence within Ae.aegypti population. We also found male and female populations are exhibiting a contrast spatial divergence by using neutral SNP loci. In addition, neutral SNPs loci showed higher resolution in population structuring than microsatellite markers using the same individuals.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Muharromah, A. F., Regilme, M. A. F., Carvajal, T. M., Watanabe, K.. 2023-04-12. Fine-scale adaptive divergence of Aedes aegypti in heterogeneous landscapes and among climatic conditions in Metropolitan Manila, Philippines. https://doi.org/10.1101/2023.04.12.536525

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

PfPHAST: Plasmodium falciparum Public Health Amplicon Sequencing Tool, a Streamlined Panel for Malaria Genomic Surveillance

Genomic tools can support malaria control policy through surveillance of Plasmodium falciparum populations, tracking antimalarial drug resistance, pfhrp2/3 deletions that compromise rapid diagnostic tests, and selection at the circumsporozoite protein (PfCSP) vaccine target, as well as through molecular correction of therapeutic efficacy studies (TES). Multiplex Amplicons for Drug, Diagnostic, Diversity, and Differentiation Haplotypes using Targeted Resequencing (MAD4HatTeR), a comprehensive amplicon sequencing panel covering up to 276 targets, supports these applications but is tailored to research rather than routine programmatic use. We developed P. falciparum Public Health Amplicon Sequencing Tool (PfPHAST), a 56-target derivative of MAD4HatTeR spanning drug resistance loci, pfhrp2/3 deletion, PfCSP genotyping, non-falciparum species identification, and 20 high-heterozygosity microhaplotype loci for TES classification. We compared PfPHAST and MAD4HatTeR using laboratory strain controls, including two-strain dilution series and a five-strain mixture, across parasite densities of 100 to 10,000 parasites/L. At matched per-target depth, PfPHAST achieved a higher quality-control pass rate than MAD4HatTeR (94.4% versus 90.0%) and distributed reads more evenly across targets. The panels showed comparable recall and precision for drug resistance codons and microhaplotypes, reaching near-complete recall above 40% within-sample allele frequency (WSAF) at all densities, with reduced sensitivity for minor alleles below 10% WSAF at low parasite density in both panels. Observed and expected WSAF correlated strongly for both panels, and both resolved a five-strain polyclonal mixture, including a 5% minor strain. By concentrating sequencing capacity on targets of greatest programmatic relevance, PfPHAST offers a scalable, lower-cost alternative to comprehensive research panels without sacrificing performance on shared targets, complementing MAD4HatTeR for routine molecular malaria surveillance.

genomics↗

Structural variation in repeat elements is widespread in normal human tissues and in tumorigenesis

Somatic mosaicism contributes to genomic variation, yet postzygotic structural variants remain under-characterized. We performed long- and short-read WGS from multiple individuals (n=47 normal tissues; n=168 samples) and identified mosaic structural variants in all individuals and germ layers, impacting a median 285.2 kb/genome. Nearly half of breakpoints were independently validated, with tissue distributions reflecting both early and late developmental origins. Most mosaic variants were repeat-mediated and 8.3% overlapped functional elements, an enrichment compared to germline variants. To extend these analyses in samples where long-read sequencing is infeasible, we measured repeat alterations from short-read sequencing, recapitulating mosaic tissue-specific differences. We characterized tumor- and tissue- specific variation in repeats across 15 cancer types and found tumor-related repeat variation to be similar in scale to that of normal mosaic variation. Tracking repeat changes in cell-free DNA provided a noninvasive approach for tumor monitoring. Our analyses revealed widespread repeat-driven structural variation in health and disease.

genomics↗

RNA isoform-resolved multiplexed sequencing with bioorthogonal barcoding

RNA isoform dysregulation drives disease pathogenesis and is the target of FDA-approved splice-switching therapeutics. However, multiplexed sequencing methods discard splice junction information because only 3' termini are barcoded and counted. Here, we repurpose acylation and click chemistries to conjugate bioorthogonal barcodes (bobcodes) directly onto multiple internal positions along cellular RNAs. Bobcoded RNAs from multiple samples are pooled for multiplexed cDNA synthesis, during which reverse transcriptase switches from each RNA template onto its tethered bobcode with greater than 99% accuracy in species mixing experiments. Bobcode attachment intervals set cDNA insert sizes without a library fragmentation step, and priming with poly(dT) or random hexamers selects between 3'-end counting and full-length isoform capture. A bioorthogonal barcode-sequencing (BOB-seq v0.1) drug screen identifies transcriptome-wide on- and off-target RNA splicing effects and outperforms existing multiplexing RNA sequencing methods in workflow simplicity, sample-to-sample variability, and barcoding accuracy. Bobcodes add isoform resolution to scalable multiplexed RNA sequencing.

genomics↗