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De novo genome assembly of the invasive mosquito species Aedes japonicus and Aedes koreicus

Abstract

Background

Recently, two invasive Aedes mosquito species, Ae. japonicus and Ae. koreicus, are circulating in several European countries posing potential health risks to humans and animals. Vector control is the main option to prevent mosquito-borne diseases, and an accurate genome sequence of these mosquitoes is essential to better understand their biology and to develop effective control strategies.

Methods

A de novo genome assembly of Ae. japonicus (Ajap1) and Ae. koreicus (Akor1) has been produced based on a hybrid approach that combines Oxford Nanopore long-read and Illumina short-read data. Their quality was ascertained using various metrics. Masking of repetitive elements, gene prediction and functional annotation was performed.

Results

Sequence analysis revealed a very high presence of repetitive DNA and, among others, thermal adaptation genes and insecticide-resistance genes. Through the RNA-seq analysis of larvae and adults of Ae. koreicus and Ae. japonicus exposed to different temperatures, we also identified genes showing a differential temperature-dependent activation.

Conclusions

The assembly of Akor1 and Ajap1 genomes constitutes the first updated collective knowledge of the genomes of both mosquito species, providing the possibility of understanding key mechanisms of their biology such as the ability to adapt to harsh climates and to develop insecticide-resistance mechanisms.

Graphical Abstract

Background

In the early 1990s, Europe experienced the colonization of vast continental areas by the Aedes albopictus mosquito [1]. This mosquito of non-European origin is now permanently resident in the continent, and it has been the protagonist of some viral epidemics as vector of numerous arboviruses, such as chikungunya, zika, dengue and also of heartworms diseases, such as filariosis [1]. Also, the sudden spread in Africa of Anopheles stephensi, a major Asian malaria vector, is generating outbreaks even in those areas where malaria was almost eradicated [2, 3]. Being adapted to urban life, An. stephensi has the potential to further spread to many urban areas across the African continent, implying an increased number of people at risk of malaria [4]. Conceivably, climate change may influence the adaptation of other invasive species to new environmental niches, thus colonizing new areas and rapidly spreading to others. In this frame, the appearance in Europe of two Aedes invasive species, namely Ae. japonicus and Ae. koreicus, is not surprising. The European advent of Ae. japonicus is dated to 2000, in France [5], while Ae. koreicus was reported in Belgium in 2008 [6]. Since then, established populations of Ae. japonicus were detected in Belgium, Germany, Switzerland, Austria, Slovenia, Croatia, The Netherlands, Italy, Hungary, Luxembourg and Northern Spain. Aedes koreicus is well established in Italy, Germany, Russia and Hungary, and it has also been found in Slovenia and Switzerland [7]. Moreover, Ae. koreicus has been passively spreading along the European route E35 from Italy to Germany while Ae. japonicus has been expanding through active dispersal [8]. Thus, both species show a remarkable ability to adapt to different eco-environmental and climate conditions. Nevertheless, despite their potential role in the transmission of endemic and imported pathogens, not much is known about their real vectorial capacity and their ability to adapt to specific environmental conditions and eco-ethological contexts.

To understand the basic biology of these species, more research is needed, given the possible development of control strategies. Although a first draft of the genome of Ae. koreicus has been already published [9], the above-reported scenario prompted us to conduct a study aimed at sequencing the genome of these two invasive species, with a special focus to gene clusters of peculiar interest such as those responsible for insecticide resistance and thermal adaptation.

Methods

Collection of samples

Larvae of Ae. koreicus and Ae. japonicus were collected in two villages situated in Veneto region (northeast Italy), Alano di Piave (45° 54′ 26″ N, 11° 54′ 28″ E) and Feltre (46° 0′ 49.903″ N 11° 53′ 49.996″ E), respectively. We performed our studies on mosquitoes collected as larvae from the same pond and then reared in our insectarium until the adult stage. This heavily reduced the heterogeneity among samples. Fourth-instar larvae were morphologically identified according to Montarsi et al. [10]. The DNA of newly emerged adults was used for the genome analysis. The RNA of fourth-instar larvae and adults was used for the RNA sequencing analysis.

Total genomic DNA was obtained from pools of three females of Ae. koreicus and Ae. japonicus. DNA was extracted using a JetFlex Genomic DNA Purification kit (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer’s instructions.

For the RNA-seq analysis, samples were prepared from two different cohorts of adults and fourth-instar larvae Ae. koreicus and Ae. japonicus. Adults were reared at 15 °C and 28 °C, respectively, for 5 days. Larvae were incubated for 8 h at 4 °C and 28 °C, respectively. Total RNAs were extracted from a single adult and pool of five fourth-instar larvae using RNAzol reagent (Sigma-Aldrich USA), according to the manufacturer’s instructions.

Sequencing

Samples of Ae. koreicus and Ae. japonicus were sent to IGAtech (Udine, Italy) for short- and long-read sequencing. The same samples were used for both analyses. Briefly, for short-read sequencing, CeleroTM DNA-Seq kit (NuGEN, San Carlos, CA) has been used for library preparation following the manufacturer’s instructions and was sequenced with NovaSeq 6000 in paired-end 150 bp mode. Long-read sequencing was performed with Oxford Nanopore PromethION. The samples were prepared using the SQK-LSK109 kit and sequenced on a flowcell R9.4.1. Basecalling of data was performed with Guppy 5.0.13. Reads were filtered with minimum qscore of 7 and length of 500.

For RNA-seq sequencing, Universal Plus mRNA-Seq kit (Tecan Genomics, Redwood City, CA) has been used for library preparation. Libraries were then sequenced with a paired-end 150-bp mode on NovaSeq 6000 (Illumina, San Diego, CA).

The total reads count generated by NovaSeq 6000, and Oxford Nanopore PromethION, N50 of reads, and total Mbps sequenced are reported in (Additional file 1: Table S1A–C).

Assembly

The Illumina reads were error-corrected using BFC release 181, adjusting the parameters based on the total draft genome size [11]. The Nanopore reads were error-corrected using LoRDEC v0.9 [12] with the error-corrected Illumina overlapping Paired-End (PE) reads, a k-mer size of 19 and a solidity threshold of 3. A first assembly was performed using FLYE 2.9.1 [13] with the long raw Oxford Nanopore reads. The resulting assembly was polished using two rounds of HyPo v1.0.3 [14] with the error-corrected Illumina overlapping PE reads. Scaffolding was then performed with two rounds of LINKS v2.0.1 [15] and ntLINKS v1.3.4 [16] using the gap-filling option with the error-corrected Illumina PE and Nanopore libraries. An additional round of HyPo, as previously described, was performed. We removed haplotig contamination by using “purged" dups [17] to produce the final assembly. The assembly quality was assessed by computing two metrics: QUAST v5.0.2 [18] and BUSCO v4.0.5 [19], using as reference lineage Diptera.

RNA-seq analysis

Adapter sequences and low-quality bases were trimmed (Trimmomatic) [20] and quality checks before and after trimming were performed (Fastqc) [21]. De novo assemblies were done with SPAdes [22] for RNA. Quality of assemblies was assessed with BUSCO [19] and QUAST [18]. Error-corrected reads were mapped to transcripts, and read count was performed with SALMON [23]. Read count files were then used to compare gene expression of two groups, cold (15 °C) and hot (28 °C), using DESeq2 pipeline in RStudio [24]. We performed transcript annotation using Trinotate pipeline [25]. Gene ontology and functional annotation were done with UniProt [26] and Enrichr [27].

Annotation

The automatic annotation of the genome was performed using the MAKER pipeline [28]. We provided MAKER data with RNA-seq data of Ae. koreicus and Ae. japonicus sequenced by our laboratory and additional ESTs and RNA-seq data from similar mosquito species such as Aedes aegypti, Ae. albopictus and Culex quinquefasciatus that were publicly available. Coherently, we have performed a de novo transcriptomic assembly to integrate and improve the genome annotation quality.

To predict gene models, SNAP [29] and Augustus [30] within MAKER were used. To detect repetitive elements in the genomes, we used RepeatMasker, version 4.1.4, using the open source library Dfam [31]. Functional annotation was performed with InterProScan 5 [32].

Phylogenetic analysis

Comparative genomic analysis was performed with the Orthofinder pipeline, consisting of a combination of algorithms called STAG and STRIDE, to infer a species rooted phylogenetic tree [33]. The two new assemblies of Ae. koreicus and Ae. japonicus were compared with mosquito genomes previously assembled like Ae. aegypti, Ae. albopictus, Cx. quinquefasciatus, Anopheles gambiae, An. coluzzii, An. arabiensis and An. darlingi and using Drosophila melanogaster genome as an outgroup. The phylogenetic tree graph was generated using iTOL v6 [34].

Detection of cold tolerance genes and insecticide resistance genes in the new assemblies

For the detection of the cold tolerance genes, protein sequences of genes found to be differentially expressed in D. melanogaster at cold temperatures compared to warmer temperatures [35] were mapped [36] to the assemblies of Aedes koreicus, Ae. japonicus, Ae. albopictus and Ae. aegypti using TBLASTN, on both plus and minus strands to improve alignment of sequences between different species. To remove false hits, we filtered results based on hit scoring (> 200), and in the case of multiple hits in the same genomic location, only the hit with the highest score was retained. To find the genes specific to the different mosquito species, we compared the results and built Venn diagrams with RStudio. Functional annotation enrichment analysis was performed with Flyenrichr [27].

For the detection of insecticide resistance genes in the new assemblies, we mapped the protein sequences of 751 metabolic insecticide resistance genes of Ae. aegypti [37] using TBLASTN [34] against the assemblies of Ae. koreicus, Ae. japonicus and Ae. albopictus. We filtered results based on hit scoring (> 200), and if two hits occurred in the same genomic location, we kept the hit with the highest score. We then compared results between species to detect genes specific to Ae. koreicus and Ae. japonicus and not present in Ae. albopictus. Venn diagrams were built with RStudio.

Results

Genome length and GC content

Using a hybrid approach that combines Oxford Nanopore long reads and Illumina short reads data, we assembled a scaffold-level version of Ae. koreicus and Ae. japonicus genomes whose size was assessed as 1.24 and 1.39 gigabase (Gb) pairs, respectively. These dimensions resemble those of other aedines such as Ae. aegypti and Ae. albopictus, which are estimated to be respectively 1.22 [38] and 1.19–1.28 Gb pairs [19, 39]. The GC content of the two genomes is very similar: 39.68% in Ae. koreicus while 39.51% in Ae. japonicus. Again, these metrics are comparable to those of Ae. aegypti (38.3%) and Ae. albopictus (40.4%). Genome completeness of the two species, measured using Benchmarking Universal Single-Copy Orthologs (BUSCO) [19], showed a gene completeness for Ae. koreicus of 91.8%, and 8% of duplicates, while for Ae. japonicus, it showed 92.5% gene completeness and 13.6% duplicates. Genome annotation yielded 18,647 and 18,687 genes for Ae. koreicus and Ae. japonicus, respectively. The N50 values are 190,716 for Ae. koreicus and 118,241 for Ae. japonicus and coverage is 35X and 20X, respectively (Table 1). By using RepeatMasker in Ae. japonicus and Ae. koreicus, we detected 71% and 71.92% of the genomes, respectively, as repetitive DNA. These data are similar to what was reported in Ae. albopictus, (74%) [39], but much higher than reported in Ae. aegypti (64%) [38] and Culex tarsalis (60,8%) [40].

Table 1 Main genome features of Aedes koreicus and Ae. japonicus. (A) Metrics assembly and (B) BUSCO Score of Ae. koreicus and Ae. japonicus, respectively

Phylogenetic analysis

The phylogenetic analysis was based on the comparison between the predicted proteomes of Ae. koreicus and Ae. japonicus and the proteomes of seven mosquito species belonging to three different genera (Anopheles gambiae, An. coluzzii, An. arabiensis, An. darlingi, Aedes aegypti, Ae. albopictus and Culex quinquefasciatus). As expected, phylogenetic clustering revealed two main clades. Clade I contains the four Anopheles species while Clade II contains the four Aedes species and Cx. quinquefasciatus. Notably, the phylogenetic tree showed that the new invasive species, Ae. koreicus and Ae. japonicus, share a most common recent ancestor (MCRA). Notably, the MCRA of Ae. koreicus and Ae. japonicus diverged more recently compared to the MCRA of Ae. aegypti and Ae. albopictus (Fig. 1).

Fig. 1
figure 1

Phylogenetic analysis of Aedes koreicus and Ae. japonicus genomes comparing to known mosquito species. This phylogenetic analysis consists of an Orthofinder Stag and Stride algorithm comparing Ae. koreicus and Ae. japonicus with other genome-sequenced mosquito species. Drosophila melanogaster was used as outgroup. Bootstrap values are shown at each branch

Annotation of specific genes

Among the several different classes of genes, particular attention has been devoted to two specific classes of genes: the ones involved in thermal adaptation and those involved in insecticide resistance.

Thermal adaptation genes

The comparative analysis of genes involved in thermal stress between the two invasive species was extended also to Ae. albopictus and Ae. aegypti using Drosophila melanogaster as reference organism [35]. Indeed, of 694 selected genes in Drosophila, we have identified 348 homologous genes in Ae. koreicus (Additional file 2: Table S2A) and 438 genes in Ae. japonicus (Additional file 2: Table S2B). Of these, 13 are specific to Ae. koreicus (Additional file 2: Table S2C) and 35 to Ae. japonicus (Additional file 2: Table S2D). An additional 22 genes are shared between these two species but not with Ae. aegypti and Ae. albopictus (Additional file 2: Table S2E) (Fig. 2A). Particularly, the 13 specific genes of Ae. koreicus are enriched in KEGG pathways involved in pentose phosphate pathway, fructose, mannose, galactose metabolism, neuroactive ligand-receptor interaction, RNA degradation and glycolysis/gluconeogenesis (Additional file 3: Table S3A). The 35 specific genes of Ae. japonicus are enriched in KEGG pathways such as glycerophospholipid metabolism and aminoacyl-tRNA biosynthesis (Additional file 3: Table S3B). The 22 genes shared between these two species were enriched for KEGG pathways involved in tryptophan, phenylalanine, tyrosine and pyruvate metabolism (Additional file 3: Table S3C).

Fig. 2
figure 2

Convergence analysis of genes involved in A thermal adaptation and B insecticide resistance. Venn diagrams show species-specific (unique) or shared genes among Aedes koreicus, Ae. japonicus, Ae. aegypti and Ae. albopictus mosquitoes. Thermal adaptation genes refer to Drosophila melanogaster and detected by homology-based search in the mosquito genomes. Insecticide resistance genes refer to Ae. aegypti and detected with BLAST in the genomes of Ae. koreicus, Ae. japonicus and Ae. albopictus

Insecticide resistance genes

The comparative analysis of genes involved in insecticide resistance between the two invasive species extended also to Ae. albopictus using Ae. aegypti as reference organism [37]. Of 561 genes, we have identified 299 genes in Ae. koreicus (Additional file 4: Table S4A) and 360 genes in Ae. japonicus (Additional file 4: Table S4B). Of these, 12 are specific to Ae. koreicus and 10 to Ae. japonicus (Additional file 4: Table S4C and D respectively). An additional 13 are shared between these two species but not with Ae. albopictus (Additional file 4: Table S4E) (Fig. 2B). All these genes belong to gene families known to be involved in lower insecticide penetration, sequestration and biodegradation: genes encoding for detoxification enzymes (P450, CCEs, GSTs, UGTs), cuticle proteins, ATP-binding cassette (ABC) transporters, neurotransmitter receptors and voltage-gated channels. All three species share most of these families; nevertheless, the differential distribution of members of the individual families characterizes the relative composition and quantities. In more detail, 4 of 12 of the specific genes of Ae. koreicus belong to “cuticle gene family” (chitin synthase, pupal cuticle protein putative, pupal cuticle protein E78 putative, puticle protein putative), 3 to “ion channel gene family” (sodium leak channel non-selective protein, voltage-dependent L-type calcium channel subunit alpha, voltage-gated potassium channel) and 2 to “ABC transporter gene family” (ATP-binding cassette sub-family A member 3, multidrug resistance protein 2/ATP-binding cassette protein c) while 2 were classified as “other detox genes” (short-chain dehydrogenase) and one more as “other gene” (modifier of mdg4).

In Ae. japonicus we specifically identified one member of the “ABC transporter family” (multidrug resistance protein 2/ATP-binding cassette protein c), one member of the “cuticle family” (pupal cuticle protein, putative), two are ion channels (voltage-gated potassium channel, glutamate-gated chloride channel) and two P450 gene (cytochrome P450), and of the last four remaining genes, three were categorized as “other detox” [sterol desaturase, NAD(P)H oxidase (H(2)O(2)-forming, Oxidoreductase] and one as “other” (BTB domain-containing protein). Thirteen genes are specifically shared only by Ae. koreicus and Ae. japonicus; one is an ABC transporter (ABC transporter), three belong to cuticle family (brain chitinase and chia, chitin synthase, pupal cuticle protein putative), two are ion channels (voltage-dependent L-type calcium channel subunit alpha) and one is a P450 gene (cytochrome P450). Finally, 3 of 13 shared genes are synaptic receptors (nicotinic acetylcholine receptor, putative, nicotinic acetylcholine receptor beta-2 subunit putative), two are oxidoreductase (heme peroxidase, thioredoxin reductase) and one belongs to the “other detox” family (sterol desaturase).

RNA-seq analysis of thermal adaptation genes

Through the RNA-seq analysis of larvae and adults of Ae. koreicus and Ae. japonicus exposed to different temperatures (15 and 28 °C), we identified genes showing a differential temperature-dependent activation (Fig. 3). In detail, under the low-temperature stress of 15 °C, several genes were differentially expressed and the relative encoded proteins identified: in Ae. koreicus larvae (Additional file 5: Table S5A), of 57 upregulated and 40 downregulated transcripts, we identified 8 upregulated and 4 downregulated proteins. In adults, among 225 upregulated and 26 downregulated transcripts, we identified 27 upregulated and 2 downregulated proteins (Additional file 5: Table S5B). Larvae and adults share only one upregulated gene (aef1, adult enhancer factor 1) but none of the downregulated (Table 2). In Ae. japonicus larvae, out of 325 upregulated and 101 downregulated transcripts, we identified 373 upregulated and 14 downregulated proteins (Additional file 5: Table S5C). In adults, among 502 upregulated and 79 downregulated transcripts, we identified 70 upregulated and 24 downregulated proteins (Additional file 5: Table S5D). Larvae and adults share 18 upregulated genes and 3 of the downregulated (Table 2). Functional GO terms were enriched in eight molecular functions and one cellular component in larvae of Ae. koreicus while two molecular functions in adults. Instead, in Ae. japonicus larvae, three biological processes and one molecular function are enriched, while no enrichment was present in adults of Ae. japonicus (Additional file 6: Table S6). Notably, several differentially expressed genes seem strongly involved in thermal adaptation as they plausibly encode for specific proteins: in larvae of Ae. koreicus, among others of interest, we found upregulated genes encoding for alanine/arginine aminopeptidase (upregulated also in adults), Acyl-CoA desaturase and serine carboxypeptidase. Aminopeptidase activities are detected in the midgut of mosquitoes in both larvae and adults [41]. The role of alanine aminopeptidase and more generally of aminopeptidase in thermal adaptation has been reported in different biological systems. In striped hamsters acclimated to cold (5 °C), alanine aminopeptidase activity was higher than in those exposed to hot temperatures (31 °C) [42], while it is well known that psychrophilic marine bacteria produce a cold-adapted aminopeptidase [43]. Concerning Acyl-CoA desaturase, there is much evidence on its involvement in cold adaptation processes: in the winged midge Parochlus steinenii, the extended acyl-CoA delta desaturase gene family underwent gene family expansion via multiple gene duplications for adaptation to the cold environments [44]; in Drosophila and Lepidoptera, the specific expression of some desaturases modulates cold adaptation mechanisms [45, 46]. Serine carboxypeptidases are expressed in mud crabs in response to cold exposition [47].

Fig. 3
figure 3

Differentially expressed thermal adaptation genes in larvae and adults of Aedes koreicus and Ae. japonicus. Volcano plots comparing transcripts obtained by samples reared at 4 °C (larvae) and 15 °C (adults) and 28 °C (larvae and adults control groups): upregulated (red), downregulated (blue) and not significantly altered (gray) transcripts are shown in A Ae. koreicus larvae, B Ae. koreicus adults, C Ae. japonicus larvae and D Ae. japonicus adults, respectively

Table 2 Genes differentially expressed in larvae and adults reared at 4 °C and 15 °C, respectively

In Ae. koreicus adults, among many other genes likely involved in thermal regulation, we found upregulated genes encoding for cytochrome P450, fatty acyl-CoA reductase and mitochondrial adenine nucleotide transporter/translocase. Insect’s cytochrome P450 is well known to be involved in tolerance mechanisms [48, 49]; in some insects, such as the Chrysomelidae, Galeruca daurica, it is upregulated together with a fatty acyl-CoA reductase during recovery from cold stress [50]. Mitochondrial adenine nucleotide transporter/translocase has roles in thermal adaptation in several organisms as for example in thermal acclimation in the rainbow trout Oncorhynchus mykiss [51] or in response to thermal stress in Apostichopus japonicus [52].

Among the genes downregulated in larvae of Ae. koreicus, after exposure to 4 °C, we found a gene encoding a 5ʹ-AMP-activated protein kinase (catalytic subunit alpha-2); interestingly, activation of an AMP-activated protein kinase in response to temperature elevation has been reported in the zebra mussel, Dreissena polymorpha [53].

Two genes were found downregulated in adults of Ae. koreicus when exposed to cold conditions: an acetyl-CoA carboxylase (acc) and a steroid receptor seven-up, isoform A. acc is reported to have a role in thermal adaptation in sheep, more precisely its activity seems depressed in tissues exposed to cold [54]. The steroid receptor seven-up is involved in Drosophila oogenesis, thus influencing final egg output [55].

In Ae. japonicus larvae, among the many upregulated genes plausibly involved in the mechanisms of cold adaptation after exposure to 15 °C, there are some common to those previously described in Ae. koreicus (e.g. cytochrome P450). Among the many others of interest are those encoding some dehydrogenases (both alcohol and 6-phosphogluconate dehydrogenase), a multicopper oxidase, a glycosyl hydrolase and helicases. Indeed, in Bactrocera dorsalis low-temperature stress induced higher alcohol dehydrogenase activities in different life developmental stages with higher increase intensity in adults and pupae than in larvae [56]. 6-Phosphogluconate dehydrogenase is known to play a role in increasing cold tolerance in some plants [57, 58]. Multicopper oxidases are also involved in mechanisms of cold tolerance in different organisms such as plants and microbes [59, 60], while glycosyl hydrolases contribute to cold adaptation in many different organisms ranging from many plants to some yeasts up to the Antarctic springtail [61]. Some members of the helicase family behave similarly to different plants and algae [62, 63].

In adults of Ae. japonicus, among the many genes up-egulated after exposure to 15 °C, we should mention the members of the cytochrome P450 and Acyl-CoA desaturase families which play roles in cold adaptation have already been described [64]. Moreover, genes of the actin family, which in Culex pipiens are known to be expressed from early diapause to late diapause and in young non-diapaused adult mosquitoes reared at 18 °C [65], were found upregulated, as well as members of mitochondrial carriers and members of the methyltransferase superfamily. Interestingly, in some tick species, DNA methyltransferases are known to contribute to cold tolerance [66]. Other genes found upregulated are members of the aminotransferase family that, as shown in Corn Borer Ostrinia nubilalis, during diapause and cold hardening catalyze the production of l-alanine, an important cryoprotectant [67].

In both Ae. japonicus larvae and adults, the gene encoding the adult enhancing factor 1 (aef1) was found downregulated after exposure to 15 °C. Among other functions, this factor has been shown to bind the alcohol dehydrogenase adult enhancer site (AAE), thus regulating its transcription [68]. In adults, as already seen in Ae. koreicus, a gene encoding a 5ʹ-AMP-activated protein kinase catalytic sub-unit alpha was also downregulated when exposed to cold.

Discussion

Mosquito invasive species, having the potential to transmit a range of different pathogens, pose significant public health problems where they establish, and their ranges and potential impacts are shifting with climate change. This is well demonstrated by the 30-year experience on the stabilization of Ae. albopictus in Europe and, more recently, on the impact of the transmission of urban malaria in relation to the arrival of An. stephensi in Africa [2]. Although some information about genome organization has been very partially provided for Ae. koreicus [9], a more detailed knowledge of the basic biology of the new European invasive species Ae. koreicus and Ae. japonicus is a fundamental prerequisite to control these insect vectors. Hence, genome sequencing of both species may provide insight into the genetic basis of their competence for pathogen transmission and for the development of species-specific control methods.

Both species are characterized by a genome size and GC content comparable to other aedines genomes (Ae. albopictus and Ae. aegypti).

Comparing the metrics of our assembly to the previous draft genome [9], we highlighted an improvement in the Quast scores as in the genome length (1.24 Gbp vs 879 Mbp) and in the N50 (190,716 vs 18,000) as well as in the BUSCO score of the Ae. koreicus assembly (91.8% vs. 74.52%) of genes present in the Diptera Database.

Furthermore, the two species are phylogenetically correlated regarding all the other mosquito species considered. This suggests common mechanisms of adaptation to eco-ethological contexts and could explain their almost contemporary appearance in large areas of Mediterranean and central Europe.

Consequently, forecasting changes in the expansion of the regions that are suitable for invasion of Aedes vectors and Aedes-borne viruses, regarding dengue, chikungunya and zika, is a key element of public health preparedness. Moreover, the insecticide resistance developed by several mosquito vectors is undermining the effectiveness of their control. Thus, we focused on those genes implicated in both thermal adaptation and insecticide resistance. The analysis of both group of genes revealed some intriguing features. Both Ae. koreicus and Ae. japonicus are characterized by species-specific sets of genes as well as genes that are shared between these two species but not by other aedines. Considering the function(s) of the proteins encoded by these genes (e.g. decarboxylases), it is very likely that most, if not all, of these genes drive the specific behaviour of the two mosquito species in climatic adaptation and insecticide resistance. This is further substantiated by the RNA-seq analysis following exposure of larvae and adults to different temperatures. Indeed, as reported in the results, the expression of several genes has shown to be strongly modulated by the temperature and some of these genes seem to be involved in the adaptation to low temperatures and could, consequently, contribute on the one hand to a better understanding of the mechanisms underlying the geographical distributions of the two invasive species, on the other to better monitor and control the dispersion of the two species. The ability to monitor and control vector mosquitoes is also supported by the ability to use insecticides and biocides wisely in relation to the possible onset of insecticide-resistance. In this frame, the identification of genes plausibly involved in possible insecticide resistance mechanisms (e.g. chitin synthases) can represent an excellent basis to establish further monitoring and control programmes.

Conclusions

Despite the need for future corroborating studies, the sequencing of the two genomes and the analysis of the two selected groups of genes pave the way to the possibility of specific control strategies aimed at limiting the risks associated with the recent introduction of the two invasive species in Europe.

Availability of data and materials

All the data that support the genome assembly and RNA analysis of Ae. koreicus and Ae. japonicus have been deposited in the NCBI and can be accessed with BioProject accession numbers PRJNA947548 (https://dataview.ncbi.nlm.nih.gov/object/PRJNA947548?reviewer=vluhmg7o407263tdhui37m0u56) and PRJNA947978 (https://dataview.ncbi.nlm.nih.gov/object/PRJNA947978?reviewer=jsp2muuuu89t76qt9tds28kn1b), respectively.

Abbreviations

Ajap1:

De novo genome assembly of Aedes japonicus

Akor1:

De novo genome assembly of the Aedes koreicus

ABC:

ATP-binding cassette

ESTs:

Expressed sequence tags

RNA-seq:

RNA sequencing

PE:

Paired-end reads

BUSCO:

Benchmarking Universal Single-Copy Orthologs

KEGGS:

Kyoto Encyclopedia of Genes and Genomes

iTOL:

Interactive Tree Of Life

STRIDE:

Species Tree Root Inference from gene Duplication Events

STAG:

Species Tree Inference from All Genes

LoRDEC:

Long Read DBG Error Correction

SPAdes:

St. Petersburg genome assembler

QUAST:

QUality ASsessment Tool

MCRA:

Most common recent ancestor

AMP:

Adenosine monophosphate

ATP:

Adenosine triphosphate

NAD(P)H:

Nicotinamide adenine dinucleotide phosphate

P450:

P450 monooxygenases

BTB:

Broad-complex, tramtrack and bric-a-brac

CCEs:

Carboxyl/cholinesterases

GSTs:

Glutathione-S-transferases

UGTs:

UDP-glucuronosyltransferase

ABC:

ATP-binding cassette

acc:

Acetyl-CoA carboxylase

aef1:

Adult enhancer factor 1

AAE:

Alcohol dehydrogenase adult enhancer site

GO:

Gene Ontology

CoA:

Coenzyme A

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Acknowledgements

We thank Silvia Sorana, Mahdokht Ilbeigi and Sofia Di Castri for the help in mosquito maintenance.

Funding

This work was supported by a grant from the University of Camerino (FAR 2019) to Guido Favia.

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Authors and Affiliations

Authors

Contributions

PLC: Software, validation, formal analysis, data curation, visualization, writing. MF: Software, formal analysis, validation, investigation, resources; CD: Methodology, resources, validation, formal analysis, data curation, writing; AC: Validation, formal analysis, data curation, visualization. DD: Formal analysis, investigation; PR: Formal analysis; IR: Formal analysis; VN: Software, validation, data curation, writing; GF: Conceptualization, supervision, funding acquisition, writing—review & editing. The authors read and approved the final manuscript.

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Correspondence to Guido Favia.

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Supplementary Information

Additional file 1: Table S1.

Total raw reads count.

Additional file 2: Table S2.

Thermal adaptation genes in Aedes koreicus and Ae. japonicus.

Additional file 3: Table S3.

GO Enrichment analysis of thermal adaptation genes.

Additional file 4: Table S4.

Insecticide resistance genes found in Aedes koreicus and Ae. japonicus.

Additional file 5: Table S5.

Differentially expressed transcripts.

Additional file 6: Table S6.

Gene Ontology (GO) enrichment analysis of genes differentially expressed in Aedes koreicus and Ae. japonicus.

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Catapano, P.L., Falcinelli, M., Damiani, C. et al. De novo genome assembly of the invasive mosquito species Aedes japonicus and Aedes koreicus. Parasites Vectors 16, 427 (2023). https://doi.org/10.1186/s13071-023-06048-w

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