Introduction: The notion that species boundaries can be porous to introgression is increasingly accepted. Yet the broader role of introgression in evolution remains contentious and poorly documented, partly because of the challenges involved in accurately identifying introgression in the very groups where it is most likely to occur. Recently diverged species often have incomplete reproductive barriers and may hybridize where they overlap. However, because of retention and stochastic sorting of ancestral polymorphisms, inference of the correct species branching order is notoriously challenging for recent speciation events, especially those closely spaced in time. Without knowledge of species relationships, it is impossible to identify instances of introgression. Rationale: Since the discovery that the single mosquito taxon described in 1902 as Anopheles gambiae was actually a complex of several closely related and morphologically indistinguishable sibling species, the correct species branching order has remained controversial and unresolved. This Afrotropical complex contains the world’s most important vectors of human malaria, owing to their close association with humans, as well as minor vectors and species that do not bite humans. On the basis of ecology and behavior, one might predict phylogenetic clustering of the three highly anthropophilic vector species. However, previous phylogenetic analyses of the complex based on a limited number of markers strongly disagree about relationships between the major vectors, potentially because of historical introgression between them. To investigate the history of the species complex, we used whole-genome reference assemblies, as well as dozens of resequenced individuals from the field. Results: We observed a large amount of phylogenetic discordance between trees generated from the autosomes and X chromosome. The autosomes, which make up the majority of the genome, overwhelmingly supported the grouping of the three major vectors of malaria, An. gambiae , An. coluzzii , and An. arabiensis . In stark contrast, the X chromosome strongly supported the grouping of An. arabiensis with a species that plays no role in malaria transmission, An. quadriannulatus . Although the whole-genome consensus phylogeny unequivocally agrees with the autosomal topology, we found that the topology most often located on the X chromosome follows the historical species branching order, with pervasive introgression on the autosomes producing relationships that group the three highly anthropophilic species together. With knowledge of the correct species branching order, we are further able to uncover introgression between another species pair, as well as a complex history of balancing selection, introgression, and local adaptation of a large autosomal inversion that confers aridity tolerance. Conclusion: We identify the correct species branching order of the An. gambiae species complex, resolving a contentious phylogeny. Notably, lineages leading to the principal vectors of human malaria were among the first in the complex to radiate and are not most closely related to each other. Pervasive autosomal introgression between these human malaria vectors, including nonsister vector species, suggests that traits enhancing vectorial capacity can be acquired not only through de novo mutation but also through a more rapid process of interspecific genetic exchange. Time-lapse photographs of an adult anopheline mosquito emerging from its pupal case. RELATED ITEMS IN Science D. E. Neafsey et al ., Science 347 , 1258522 (2015)

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.

Female Aedes aegypti mosquitoes infect more than 400 million people each year with dangerous viral pathogens including dengue, yellow fever, Zika and chikungunya. Progress in understanding the biology of mosquitoes and developing the tools to fight them has been slowed by the lack of a high-quality genome assembly. Here we combine diverse technologies to produce the markedly improved, fully re-annotated AaegL5 genome assembly, and demonstrate how it accelerates mosquito science. We anchored physical and cytogenetic maps, doubled the number of known chemosensory ionotropic receptors that guide mosquitoes to human hosts and egg-laying sites, provided further insight into the size and composition of the sex-determining M locus, and revealed copy-number variation among glutathione S-transferase genes that are important for insecticide resistance. Using high-resolution quantitative trait locus and population genomic analyses, we mapped new candidates for dengue vector competence and insecticide resistance. AaegL5 will catalyse new biological insights and intervention strategies to fight this deadly disease vector.

Genome sequencing analyses from 765 specimens of Anopheles gambiae and Anopheles coluzzii from 15 locations across Africa characterize patterns of gene flow and variations in population size, and provide a resource for studying the evolution of natural malaria vector populations. Anopheles gambiae is the primary mosquito vector responsible for the transmission of malaria in most of sub-Saharan Africa. Alistair Miles, Dominic Kwiatkowski and colleagues report analyses from the Anopheles gambiae 1000 Genomes Project (Ag1000G), including low-coverage genome sequences of 765 specimens of Anopheles gambiae and Anopheles coluzzii, caught in the wild at 15 locations across 8 countries in Africa. The authors analyse genetic variation, finding a high level of genetic diversity in these populations, and characterize patterns of gene flow and variations in population size. These datasets provide a resource for studies into the evolution of malaria vector populations that could guide control strategies and be used to address problems such as the evolution of insecticide resistance. The sustainability of malaria control in Africa is threatened by the rise of insecticide resistance in Anopheles mosquitoes, which transmit the disease1. To gain a deeper understanding of how mosquito populations are evolving, here we sequenced the genomes of 765 specimens of Anopheles gambiae and Anopheles coluzzii sampled from 15 locations across Africa, and identified over 50 million single nucleotide polymorphisms within the accessible genome. These data revealed complex population structure and patterns of gene flow, with evidence of ancient expansions, recent bottlenecks, and local variation in effective population size. Strong signals of recent selection were observed in insecticide-resistance genes, with several sweeps spreading over large geographical distances and between species. The design of new tools for mosquito control using gene-drive systems will need to take account of high levels of genetic diversity in natural mosquito populations.

Manipulating M factor alters mosquito sex: Female mosquitoes feed on blood and in so doing transmit pathogens to millions annually. Although the molecular mechanism for determining sex in many animals is known, the specific factors in mosquitoes have been elusive. This is because sex determination in insects involves a section of the genome that is highly repetitive. Hall et al. now identify a male-determining factor (M factor) in Aedes aegypti. Manipulation of the M factor produced sex-change phenotypes. Knocking out the gene Nix resulted in feminized males, and ectopic expression gave masculinized females. These findings should help to advance strategies for converting female mosquitoes into nonbiting males. Science , this issue p. 1268

Background: New sequencing technologies have lowered financial barriers to whole genome sequencing, but resulting assemblies are often fragmented and far from ‘finished’. Updating multi-scaffold drafts to chromosome-level status can be achieved through experimental mapping or re-sequencing efforts. Avoiding the costs associated with such approaches, comparative genomic analysis of gene order conservation (synteny) to predict scaffold neighbours (adjacencies) offers a potentially useful complementary method for improving draft assemblies. Results: We evaluated and employed 3 gene synteny-based methods applied to 21 Anopheles mosquito assemblies to produce consensus sets of scaffold adjacencies. For subsets of the assemblies, we integrated these with additional supporting data to confirm and complement the synteny-based adjacencies: 6 with physical mapping data that anchor scaffolds to chromosome locations, 13 with paired-end RNA sequencing (RNAseq) data, and 3 with new assemblies based on re-scaffolding or long-read data. Our combined analyses produced 20 new superscaffolded assemblies with improved contiguities: 7 for which assignments of non-anchored scaffolds to chromosome arms span more than 75% of the assemblies, and a further 7 with chromosome anchoring including an 88% anchored Anopheles arabiensis assembly and, respectively, 73% and 84% anchored assemblies with comprehensively updated cytogenetic photomaps for Anopheles funestus and Anopheles stephensi. Conclusions: Experimental data from probe mapping, RNAseq, or long-read technologies, where available, all contribute to successful upgrading of draft assemblies. Our evaluations show that gene synteny-based computational methods represent a valuable alternative or complementary approach. Our improved Anopheles reference assemblies highlight the utility of applying comparative genomics approaches to improve community genomic resources.