Frédéric Simard

Insects have presented human society with some of its greatest development challenges by spreading diseases, consuming crops and damaging infrastructure. Despite the massive human and financial toll of invasive insects, cost estimates of their impacts remain sporadic, spatially incomplete and of questionable quality. Here we compile a comprehensive database of economic costs of invasive insects. Taking all reported goods and service estimates, invasive insects cost a minimum of US$70.0 billion per year globally, while associated health costs exceed US$6.9 billion per year. Total costs rise as the number of estimate increases, although many of the worst costs have already been estimated (especially those related to human health). A lack of dedicated studies, especially for reproducible goods and service estimates, implies gross underestimation of global costs. Global warming as a consequence of climate change, rising human population densities and intensifying international trade will allow these costly insects to spread into new areas, but substantial savings could be achieved by increasing surveillance, containment and public awareness.

We aimed to identify the optimal strategy that should be used by public health authorities against transmission of chikungunya virus in mainland France. The theoretical model we developed, which mimics the current surveillance system, predicted that without vector control (VC), the probability of local transmission after introduction of viraemic patients was around 2%, and the number of autochthonous cases between five and 15 persons per hectare, depending on the number of imported cases. Compared with this baseline, we considered different strategies (VC after clinical suspicion of a case or after laboratory confirmation, for imported or autochthonous cases): Awaiting laboratory confirmation for suspected imported cases to implement VC had no significant impact on the epidemiological outcomes analysed, mainly because of the delay before entering into the surveillance system. However, waiting for laboratory confirmation of autochthonous cases before implementing VC resulted in more frequent outbreaks. After analysing the economic cost of such strategies, our study suggested implementing VC immediately after the notification of a suspected autochthonous case as the most efficient strategy in settings where local transmission has been proven. Nevertheless, we identified that decreasing reporting time for imported cases should remain a priority.

BACKGROUND: SINEs (Short INterspersed Elements) are homoplasy-free and co-dominant genetic markers which are considered to represent useful tools for population genetic studies, and could help clarifying the speciation processes ongoing within the major malaria vector in Africa, Anopheles gambiae s.s. Here, we report the results of the analysis of the insertion polymorphism of a nearly 200 bp-long SINE (SINE200) within genome areas of high differentiation (i.e. "speciation islands") of M and S A. gambiae molecular forms. METHODS: A SINE-PCR approach was carried out on thirteen SINE200 insertions in M and S females collected along the whole range of distribution of A. gambiae s.s. in sub-Saharan Africa. Ten specimens each for Anopheles arabiensis, Anopheles melas, Anopheles quadriannulatus A and 15 M/S hybrids from laboratory crosses were also analysed. RESULTS: Eight loci were successfully amplified and were found to be specific for A. gambiae s.s.: 5 on 2L chromosome and one on X chromosome resulted monomorphic, while two loci positioned respectively on 2R (i.e. S200 2R12D) and X (i.e. S200 X6.1) chromosomes were found to be polymorphic. S200 2R12D was homozygote for the insertion in most S-form samples, while intermediate levels of polymorphism were shown in M-form, resulting in an overall high degree of genetic differentiation between molecular forms (Fst = 0.46 p < 0.001) and within M-form (Fst = 0.46 p < 0.001). The insertion of S200 X6.1 was found to be fixed in all M- and absent in all S-specimens. This led to develop a novel easy-to-use PCR approach to straightforwardly identify A. gambiae molecular forms. This novel approach allows to overcome the constraints associated with markers on the rDNA region commonly used for M and S identification. In fact, it is based on a single copy and irreversible SINE200 insertion and, thus, is not subjected to peculiar evolutionary patterns affecting rDNA markers, e.g. incomplete homogenization of the arrays through concerted evolution and/or mixtures of M and S IGS-sequences among the arrays of single chromatids. CONCLUSION: The approach utilized allowed to develop new easy-to-use co-dominant markers for the analysis of genetic differentiation between M and S-forms and opens new perspectives in the study of the speciation process ongoing within A. gambiae.

INTRODUCTION Control of mosquito vectors has historically proven to be an effective means of eliminating malaria. Human malaria is transmitted only by mosquitoes in the genus Anopheles , but not all species within the genus, or even all members of each vector species, are efficient malaria vectors. Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. RATIONALE This variation in vectorial capacity suggests an underlying genetic/genomic plasticity that results in variation of key traits determining vectorial capacity within the genus. Sequencing the genome of Anopheles gambiae , the most important malaria vector in sub-Saharan Africa, has offered numerous insights into how that species became highly specialized to live among and feed upon humans and how susceptibility to mosquito control strategies is determined. Until very recently, similar genomic resources have not existed for other anophelines, limiting comparisons to individual genes or sets of genomic markers with no genome-wide data to investigate attributes associated with vectorial capacity across the genus. RESULTS We sequenced and assembled the genomes and transcriptomes of 16 anophelines from Africa, Asia, Europe, and Latin America, spanning ~100 million years of evolution and chosen to represent a range of evolutionary distances from An. gambiae , a variety of geographic locations and ecological conditions, and varying degrees of vectorial capacity. Genome assembly quality reflected DNA template quality and homozygosity. Despite variation in contiguity, the assemblies were remarkably complete and searches for arthropod-wide single-copy orthologs generally revealed few missing genes. Genome annotation supported with RNA sequencing transcriptomes yielded between 10,738 and 16,149 protein-coding genes for each species. Relative to Drosophila, the closest dipteran genus for which equivalent genomic resources exist, Anopheles exhibits a dynamic genomic evolutionary profile. Comparative analyses show a fivefold faster rate of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses in Anopheles . Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. We also document evidence of variation in important reproductive phenotypes, genes controlling immunity to Plasmodium malaria parasites and other microbes, genes encoding cuticular and salivary proteins, and genes conferring metabolic insecticide resistance. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts. CONCLUSIONS Anopheline mosquitoes exhibit a molecular evolutionary profile very distinct from Drosophila , and their genomes harbor strong evidence of functional variation in traits that determine vectorial capacity. These 16 new reference genome assemblies provide a foundation for hypothesis generation and testing to further our understanding of the diverse biological traits that determine vectorial capacity. Geography, vector status, and molecular phylogeny of the 16 newly sequenced anopheline mosquitoes and selected other dipterans. The maximum likelihood molecular phylogeny of all sequenced anophelines and two mosquito outgroups was constructed from the aligned protein sequences of 1085 single-copy orthologs. Shapes between branch termini and species names indicate vector status and are colored according to geographic ranges depicted on the map.