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Flavivirus integrations in Aedes aegypti are limited and highly conserved across samples from different geographic regions unlike integrations in Aedes albopictus


Mosquitoes of the genus Aedes are the main vectors of many viruses, e.g. dengue and Zika, which affect millions of people each year and for which there are limited treatment options. Understanding how Aedes mosquitoes tolerate high viral loads may lead to better disease control strategies. Elucidating endogenous viral elements (EVEs) within vector genomes may give exploitable biological insights. Previous studies have reported the presence of a large number of EVEs in Aedes genomes. Here we investigated if flavivirus EVEs are conserved across populations and different Aedes species by using ~ 500 whole genome sequence libraries from Aedes aegypti and Aedes albopictus, sourced from colonies and field mosquitoes across continents. We found that nearly all flavivirus EVEs in the Ae. aegypti reference genome originate from four separate putative viral integration events, and that they are highly conserved across geographically diverse samples. By contrast, flavivirus EVEs in the Ae. albopictus reference genome originate from up to nine distinct integration events and show low levels of conservation, even within samples from narrow geographical ranges. Our analysis suggests that flaviviruses integrated as long sequences and were subsequently fragmented and shuffled by transposable elements. Given that EVEs of Ae. aegypti and Ae. albopictus belong to different phylogenetic clades and have very differing levels of conservation, they may have different evolutionary origins and potentially different functional roles.

Graphical Abstract


The mosquito species Aedes aegypti and Aedes albopictus are the dominant vectors of human arboviruses [1]. The clinical and public health importance of arboviruses stems from their high morbidity and a lack of accessible treatments and vaccines for them [1]. Climate change may increase the geographical range of mosquitoes [2,3,4] and consequently of arboviruses. Understanding the interaction between viruses, mosquitoes and the coevolutionary changes in their genomes can provide insights for better disease control strategies.

An important factor in the vector competence of mosquitoes is their ability to tolerate a high viral load, which is thought to be at least partially driven by the RNA interference pathway [5,6,7,8]. In this pathway, small RNAs are used to guide a protein-effector complex to target RNA based on sequence complementarity (see [5, 9] for recent reviews). Some of the proposed sources of small RNA in Aedes mosquitoes are endogenous viral elements (EVEs) [5, 10, 11]. EVEs have been observed in many eukaryotic organisms and are particularly frequent in Ae. aegypti and Ae. albopictus [11,12,13]. Multiple viral families have been identified in Aedes genomes including EVEs from two very abundant and epidemiology relevant viral families: Rhabdoviridae and Flaviviridae [11,12,13,14,15,16,17,18].

The frequency of EVEs from epidemiologically relevant viral families varies between different species. Recent work [11] across 22 mosquito species found 88 family Rhabdoviridae- and 32 family Flaviviridae-related EVEs in Ae. aegypti, and 42 family Rhabdoviridae- and 30 family Flaviviridae-related EVEs in Ae. albopictus. Species of the genera Culex and Anopheles had up to seven EVEs from these two viral families [19]. Across the other eight non-retroviral RNA families only a few isolated EVEs were identified in any mosquito species, with most harbouring none of the viruses considered [11]. Several other studies have shown similar results [12, 13]. Most EVEs in Aedes are enriched in transposon-rich regions and P-element-induced wimpy testis-interacting RNA (piRNA) [11, 12, 20], with some research suggesting that EVE-derived piRNA can mediate antiviral immunity [10, 11, 13]. PiRNA clusters often coincide with regions rich in Gypsy and Bel/Pao long terminal repeat retrotransposons [5, 11, 13].

Here, we examine flavivirus integrations in Ae. aegypti and Ae. albopictus to gain a better understanding of EVE evolution, and compare data across colony and field populations spanning different continents. We demonstrate that previously described flavivirus EVEs originated from very few integration events. EVEs identified in the Ae. aegypti reference genome belong to four or five independent integration events. We demonstrate that these EVES are present in 98.4% of 436 geographically diverse Ae. aegypti, are strongly conserved, and do not form phylogenetic clades. In Ae. albopictus we demonstrate that the identified reference genome flavivirus-like EVEs originated from four to nine integration events and are much less conserved. Finally, we identified limited similarity between EVEs of the two Aedes species, which suggests different origins of EVEs. While EVEs of both Ae. aegypti and Ae. albopictus may, or may not, play antiviral roles, the results from one of these species might not be readily applicable to the other.


Basic Local Alignment Search Tool matched against the Ae. aegypti reference genome

We removed sequences shorter than 10 kilobase pairs (kbp) from all flavivirus sequences identified in the National Center for Biotechnology Information (NCBI) nucleotide database [21] because these were partial viral coding sequences. The remaining 10,644 sequences were Basic Local Alignment Search Tool N (BLASTN) searched and matched against the Ae. aegypti AaegL5 genome reference assembly [22] (“Methods”). Because flavivirus sequences were only filtered by total sequence length, the sequences used in the BLASTN search represent species from all hosts and environments.

An initial search using the AaegL5 assembly [22] identified 76,584 BLAST hits from 8540 viral genomes (Additional file 3: Data S1; Additional file 4: Data S2). After filtering the matches (Additional file 2: Chart S1; “Methods”), 12,090 (15.8%) hits were carried forward for analysis. Subsequent analysis (described below) revealed that the retained hits only mapped to five regions on the Ae. aegypti AaegL5 genome (Table 1; Additional file 1: Table S1) and that together they spanned 127 kbp. The distinctive feature of the retained BLAST matches is that hits from different viruses overlap on the AaegL5 mosquito genome (Additional file 1: Figure S1; Table 1). After examining the BLAST hits visually (see Additional file 1: Figure S1 for a representative case) we observed that, among all retained hits, Xishuangbanna aedes flavivirus (XAFV; NC_034017.1) and the Menghai aedes flavivirus (MFV; NC_034204.1) were consistently the longest sequences. For XAFV, the average hit length was 530 nucleotides (nt) and average identity to AaegL5 was 70.3%. Furthermore, most BLAST hits from other viruses were within or immediately next to the region spanned by these two viruses (Additional file 1: Figure S1). The only exception to this was the 135-bp region on chromosome 1, which was spanned by a sequence close to the rodent-associated Modoc virus (MV; NC_003635.1) [23] as well as multiple other flaviviruses. XAFV was isolated from Chinese Ae. albopictus field samples in 2016 [24]. It is most similar to MFV (71% identity and 99% query coverage) sourced from Ae. albopictus in the same region a year later [25].

Table 1 Aedes aegypti reference genome regions with flavivirus Basic Local Alignment Search Tool N (BLASTN) hits

Description of flavivirus EVEs in the Ae. aegypti reference genome

When examining the individual hits that were similar to XAFV and MFV, we noticed that the segments were often sequentially spaced and oriented like the virus genome in the mosquito genome, and that the gap between corresponding sequences on mosquito and viral genomes was very similar (Table 2; Additional file 1: Figure S2). For convenience, we will refer to specific XAFV and MV hits using identifiers (format ‘AE#.*’, where ‘#’ refers to one of the 29 hits and ‘*’ refers to the EVE number; see Table 2). For example, between the hits on AE2.2 and AE3.2 there is a gap of 359 nt on the viral genome versus a gap of 260 nt on the mosquito genome. The next EVE fragment, AE4.2, corresponds to the next subsequential segment of the virus genome. The respective gaps between AE3.2 and AE4.2 are 192 nt on the virus and 172 nt on the mosquito genome. This pattern is not observed between AE7.2 and AE8.2 but continues again in the sequential segments (Table 2). This observation strongly suggests that each group of hits with these characteristic gaps derives from a single insertion by a related virus. The regions between the hits may be unidentifiable by BLASTN either due to sequence divergence and/or because the ancestral virus has not been discovered. We indirectly confirmed this by changing the sensitivity of the BLAST search by using word sizes between 7 and 15 nt (Additional file 1: Figure S2). With each smaller word size, the gap between hits was partially filled without generating false positive hits. However, some sequences are either not sequential (e.g. AE7.2 and AE8.2) or the gap is too large, for example, 122 Mbp between AE25.3 and AE26.4. We used BLASTN software to compare all EVEs against each other, and observed that hits in proximal EVEs have identity of over 94% compared to less than 85% identity to either XAFV genome or distantly located EVEs (Additional file 1: Figure S3). Some hits, such as those mapping to AE2.2 and the more distant AE8.2, have close to 99% identity and 100% coverage, and thus these could be duplicates. While this observation suggests that similar viruses or different viral strains may have integrated independently in these regions, a more parsimonious explanation is that copies arose from genomic rearrangements from the original integration.

Table 2 Endogenous viral elements (EVEs) identified in the Ae. Aegypti genome

We repeated all the above analyses (Additional file 2: Chart S1) for the Aag2 cell line assembly (PRJNA398563) [13] and found EVEs in Aag2 that have been reported previously [13]. Further, AaegL5 contains the same EVEs apart from some minor differences (see Additional file 1: Table S2). We used long reads from PacBio data for cell line Aag2 to test the integrity of the regions around EVEs identified in AaegL5. After mapping all reads over 15 kbp in length to AaegL5 genome subregions (Table 2), we found no abnormalities in EVE regions apart from AE15.2, which was not covered by reads, and AE1.1, which had a gap in coverage in the middle of the sequence.

Further, we used the Aag2 long reads mapping to EVEs to perform a BLASTN search of the NCBI nucleotide collection to identify any potential virus contaminants, but none were found. However, the long reads mapped to part of the Falli virus (length 10,974 nt) sourced from an Aedes vexans mosquito in Senegal in 2014 (MN567479.1) [26], which had been labelled as an unclassified member of the Riboviria. This result further supports our hypothesis that there are few integration events because the Falli virus not only spanned the same regions as XAFV, but also consistently filled 573 nt of the 1529 nt gap left by XAFV between AE4.2 and AE5.2. Falli virus has 65% coverage and 69% identity to XAFV, and based on non-structural protein 1 (NS1) phylogenetic reconstruction (Fig. 1), belongs to the same Flavivirus genus clade as XAFV, MFV and Ae. aegypti EVEs. Future investigations of the viromes of mosquitoes may lead to identification of even closer relatives of EVEs. Using Falli virus we also observed an additional EVE between AE9.2 and AE10.2 at NC_035108.1 461,326,757–461,327,206, which was previously identified in the Aag2 assembly [13]. The characteristics of this EVE are inconsistent with it being part of the same integration event as AE2.2–AE17.2. After examining long reads mapping to this region we found large discontinuities in coverage with no reads spanning the 5’ flanking sequence, and 450-nt and 1425-nt gaps in coverage of 3′ flanking sequences. This is likely to be a genuine EVE and should be investigated further.

Fig. 1
figure 1

A maximum-likelihood phylogenetic tree for endogenous viral elements (EVEs) and insect flaviviruses, based on 191 amino acids of non-structural (NS) protein 1. Shown are the different origins of the EVEs in Aedes albopictus (green) and Aedes aegypti (red). The tree is rooted at Yokose virus—a bat-specific flavivirus. Horizontal scale Number of substitutions per site, node labels bootstrap values

Following the logic of gaps between hits as well as identity between non-sequential hits (Additional file 1: Figure S3; Additional file 2: Chart S1), we were able to group all EVEs into five putative integration events: AE1.1 (chromosome 1), AE2.2 to AE15.2 (chromosome 2), AE16.2 to AE17.2 (chromosome 2), AE18.3 to AE25.3 (chromosome 3) and AE26.4 to AE29.4 (chromosome 3) (Fig. 2). The hits on chromosome 2 (AE2.2 to AE17.2) are relatively close and the 3′ end of the AE7.2 viral sequence is only 31 nt away from the 5′ end of AE16.2, and could all be part of one integration event. We hypothesised that if mosquito regions containing AE2.2 and AE15.2 and AE16.2 and AE17.2 were continuous at some point, they would have the same antisense orientation of piRNA alignment, as has been previously observed [5, 12, 17, 27]. We used 25- to 29-nt sequences from small RNA sequencing libraries (SRR5441389, SRR5441390, SRR5441391 [28]) to test this and examine the orientation of alignment of piRNA to mosquito regions, since an antisense direction to EVEs is expected [5, 12, 17, 27]. Consistent with our hypothesis, piRNA alignment shows the same distinctive long peak for both AE2.2 to AE15.2 and AE16.2 to AE17.2 (Additional file 1: Figure S4). The opposite orientation of two peaks is consistent with EVEs AE2.2 to AE15.2 in sense orientation and AE16.2 to AE17.2 in antisense orientation on the Ae. aegypti reference genome. Based on a 31-nt gap between viral sequences AE7.2 and AE16.2 and the same relative orientation of piRNA mapping to EVEs, it is possible that AE2.2 to AE17.2 hits are part of the same viral integration event.

Fig. 2
figure 2

Viral integration events identified in the Ae. aegypti assembly AaegL5 as ordered by Xishuangbanna aedes flavivirus (XAFV) protein coding sequence regions. Unlike Ae. albopictus (see Fig. 5), the majority of mosquito sequences are grouped into the same event based on the similarity of gaps between mosquito and viral genomes (see Additional file 1: Figure S2). Some sequences are unlikely to belong to the same event (e.g. AE14.2, AE29.4, AE23.3) because they share high similarity to overlapping sequences from the same integration event, but much lower similarity to other events. For them to originate from the same original sequence would require very uneven mutation rates

When we visually examined EVE sequences in the NCBI Genome Browser [29], we noticed that all EVEs apart from AE1.1 coincide with GC-rich regions, which is consistent with the higher GC content of flaviviruses (43–55%) compared to Ae. aegypti (~ 38%) [22, 30]. For example, the region AE18.3 to AE21.3 (including gaps) has an elevated GC content and is flanked by two Gypsy transposon elements, which further suggests the entire region is part of one viral integration event. Similar patterns were seen for other regions, most notably for AE26.4 to AE28.4, which coincides with GC-rich regions extending past EVEs (Additional file 1: Figure S5).

Finally, we compared the EVEs identified to those described previously in the AaegL3 assembly [11, 12]. We assessed a list of 32 flavivirus sequences described elsewhere [11], and apart from five sequences, the two sets consisted of the same EVEs. Of the five unmapped sequences, two mapped either between or immediately next to the EVEs we characterised (Additional file 1: Table S2). The remaining three unmapped sequences did not have strong similarity to the AaegL5 assembly, but could be identified in the previous assembly used and in some field samples [10, 11, 31]. While we used the BLASTN tool and others may have used TBLASTX [11], almost all viral integration events were still detected using both approaches.

Identification of EVEs in geographically diverse whole genome sequencing libraries

After showing that all EVEs in both AaegL5 and Aag2 assemblies can be grouped into four original integration events, we examined whether this set is conserved across geographical regions. For this, we investigated 434 genomes consisting of: (i) 425 samples from whole genome sequencing (WGS) libraries from project PRJNA602495, which includes samples from sub-Saharan Africa, Brazil and Thailand; (ii) five samples from Cape Verde sequenced in our laboratory; and (iii) four colonies from PRJNA419379, which includes Liverpool strains used to build the AaegL5 assembly. Additionally, we used four Madagascan Aedes mascarensis samples from PRJNA602495 as an outgroup in phylogenetic reconstructions. We first screened the quality of sequencing libraries and alignments using mitochondrial DNA and excluded two libraries (SRR11006496 and SRR1100669) that only had 35% coverage of the organellar genome. The remaining samples had a mitochondrial DNA coverage in excess of 96.6%.

We started by examining the coverage depth across samples for each EVE (Fig. 3a). Across the 432 samples, 348 (80.5%) had all EVEs covered to at least fivefold read coverage (Fig. 3a), and seven (1.6%) were missing all EVEs. There were three EVEs (AE11.2, AE13.2 and AE28.4) with consistently low numbers of samples with at least fivefold coverage, and two EVEs were missing more often than others (AE7.2; n = 34; AE12.2; n = 50) (Fig. 3a).

Fig. 3
figure 3figure 3

A maximum-likelihood phylogenetic tree of the mitochondrial cytochrome oxidase c subunit 1 (cox1) gene within a heatmap representing the degree of sharing of EVEs across samples with more than fivefold read coverage for a Ae. aegypti (n = 436) and b Ae. albopictus (n = 73). Note the 100-fold difference in scales between the trees. These results are not related to the underlying sequencing library size, and lowering minimum coverage from fivefold to onefold does not affect interpretation. Because of large number of samples, the branch labels are omitted. In a, four samples representing Aedes mascarensis from Madagascar are the first four samples after the break in the circle

Using the t-distributed stochastic neighbor embedding (t-SNE) [32] algorithm and EVE coverage we observed that EVEs strongly cluster by putative integration event (Additional file 1: Figure S6), including clustering of AE16.2 and AE17.2 with AE2.2 to AE15.2, despite a 8-Mbp gap between them on the reference genome. This result gives further support to our identification of four integration events. There is weak evidence that EVEs cluster by geographical source, with unstable clustering patterns resulting from minor parameter changes. Further, a phylogenetic analysis for each EVE did not show clear clades (Additional file 7: Data S5). By contrast, a phylogenetic tree based on the mitochondrial cytochrome oxidase c subunit 1 (cox1) gene for the 436 samples with WGS data did show clear clustering, with a pronounced geographical focus of clades (Fig. 3a). These clades are consistent with a previously described population structure of Ae. aegypti [33, 34] involving two main clades. While one clade includes samples mainly from Kenya and Gabon, the other clade includes samples from all locations of the dataset (Fig. 3a).

We constructed the above cox1 gene phylogenetic tree to determine the geographical location of samples with low coverage or missing EVEs. Out of ten outlying samples (Fig. 3a), nine were also outliers in the cox1 tree and all clustered with the Ae. mascarensis outgroup. Curiously, three of four Madagascan Ae. mascarensis samples had AE2.2 to AE17.2 and AE26.4 to AE29.4. The fourth had only AE2.2 to AE17.2 (Fig. 3a). This observation could be a result of cross-breeding between Ae. aegypti and Ae. mascarensis or another species [33, 35, 36], or integration of viral fragments before the species split. Overall, analysis of WGS data shows that Ae. aegypti EVEs from the reference genome are highly conserved across geographies with no evidence of geographic clusters.

Given the high degree of EVE conservation, we compared the single nucleotide polymorphism (SNP) density across EVEs to the cox1 gene, a locus frequently used in barcoding and phylogenetic applications [37]. By counting unfiltered SNPs and small insertions and deletions (InDels) in high-quality EVEs (< 25% of sequence with no read coverage), we show that the majority have SNP densities similar or lower than cox1, except for AE1.1 and AE16.2, which had three and four times higher levels, respectively (Fig. 4). The entire AE18.3 to AE25.3 cluster has almost no SNPs (46 SNPs among 3377 EVE and sample combinations), which either suggests a highly conserved function or relatively recent acquisition of EVE.

Fig. 4
figure 4

a, b EVE and cox1 gene single nucleotide polymorphism (SNP) density in 435 Ae. aegypti samples. Both a and b are based on the same SNP matrix. To obtain SNP density, we removed EVEs (black squares) that had < 85% of EVE covered at least onefold (5% of total) to prevent downward bias of SNP density. For abbreviations, see Figs.  1 and 3

Finally, we visually inspected 20 randomly chosen alignments (BAM files) in the Integrative Genomics Viewer (IGV) tool [38] to verify that EVE read coverage had no obvious discontinuities in coverage. We did not find any abnormalities, but we consistently observed that where the gap between EVEs is substantially different on viral and mosquito genomes, the EVE flanking regions have read depths five to ten times higher than those of the EVEs. This observation is a result of EVEs being flanked by Gypsy and Bel/Pao long terminal repeat retrotransposons [5, 11, 13] (Additional file 1: Figure S5). Due to the inconsistent coverage in these regions, we could not perform a robust analysis using Kimura divergence scores or similar metrics.

EVEs in Ae. albopictus

We performed the same BLAST analysis for Ae. albopictus genome assembly AaloF2 [39] as applied to Ae. aegypti. We started with assembly AaloF2 [39], identified 56 EVEs, and compared them to those from the C6/36 cell line [40] and AaloF1, an earlier assembly of the Foshan strain [11] (Fig. 5; Additional file 5: Data S3; Additional file 6: Data S4). In AaloF1, we found three further EVEs (AaloF_20.2–AaloF22.2; Fig. 5). Unlike in Ae. aegypti, most flavivirus EVEs in AaloF2 were spanned or near-spanned by sequences similar to the Aedes flavivirus strain Bangkok (KJ741266.1) or Kamiti River virus (NC_005064.1) [41, 42], with an average identity of 71.2% for both viruses. After repeating the same analysis used for Ae. aegypti, we identified between four and nine distinct integration events, which is consistent with results from genome assemblies of the C6/36 cell line [40] and AaloF1, an earlier assembly of the Foshan strain [11] (Fig. 5). Because all three Ae. albopictus assemblies are at a scaffold level, additional complete assemblies are needed to narrow down the range of integrations.

Fig. 5
figure 5

Viral integration events identified in the Ae. albopictus assembly AalbF2 with viral protein coding regions at the top. The clearest examples of a single event are sequences ending with ‘.1’. Unlike in Ae. aegypti (Additional file 1: Figure S2) where hits are grouped based on gaps on viral and mosquito genomes, here most EVEs are allocated to integration events based on sequence similarity

For Ae. albopictus, we compared the EVEs across 73 WGS libraries from two projects (PRJNA562979 and SRP051355) covering regions in Mexico, Réunion Island and China [39]. By considering EVEs with at least fivefold coverage, there was a remarkable degree of heterogeneity among samples (Fig. 3b), which is in stark contrast with the high degree of conservation in our much more geographically diverse and larger Ae. aegypti (Fig. 3a) dataset. Patchy WGS read alignments meant we could not produce meaningful phylogenetic trees or examine SNP densities. Reducing the coverage level threshold to onefold did not affect the interpretation of a lack of conservation of EVE sequences in Ae. albopictus. Unlike EVEs in Ae. aegypti, those in Ae. albopictus show some clustering by geography (Additional file 1: Figure S7).

Comparison of EVEs in Ae. aegypti and Ae. albopictus

An all-versus-all comparison of EVEs from Ae. aegypti and Ae. albopictus assemblies using BLASTN (word size 11) revealed 99 matches (Additional file 1: Figure S8). The identity of the hits declined rapidly with greater hit length, in contrast to EVEs from the same integration event (Additional file 1: Figure S3), supporting the different origin of EVEs in the Aedes species. Using IQTREE software [43], we reconstructed phylogenetic trees of EVEs that map to the viral NS1 protein sequence, which is present in multiple Ae. aegypti and Ae. albopictus viral integration events. Consistent with nucleotide BLAST results and supported by bootstrap confidence values above 0.95 for phylogenetic clades, the EVEs from two mosquito species were positioned in different clades (Fig. 1).


The work presented here makes several key contributions to EVE research. First, we have demonstrated that all flavivirus EVEs in Ae. aegypti and Ae. albopictus reference genomes originate in four and up to nine distinct integration events, respectively. While several other studies have identified that some EVEs appear to have high sequence similarity [12, 39], they did not report a limited number of original integrations, their possible origin and their static nature. Second, we have demonstrated that EVEs from Ae. aegypti reference assemblies are highly conserved across geographically diverse populations. By contrast, EVEs from Ae. albopictus reference assemblies do not appear to be conserved. Third, EVEs from Ae. aegypti and Ae. albopictus belong to different phylogenetic clades, with those from Ae. aegypti located in same clade as XAFV and Falli virus, while those from Ae. albopictus are located in the same clade as Cell fusing agent virus and Aedes flavivirus.

These new insights have several implications for further research. First, the fixed set of flavivirus EVEs in Ae. aegypti makes it feasible to investigate their biological role via molecular biology and gene editing methods. While we identified 29 EVEs, there are at least 15 contiguous viral integration sequences, a magnitude which permits the application of modern genome editing techniques. The established Liverpool mosquito line [44] was not an outlier in our analysis, and could facilitate gene editing work on a single Ae. aegypti sample, which is likely to generalise well to a broader population. The same is not true of Ae. albopictus, due to much higher EVE heterogeneity. Second, as EVEs in the two species are very different, their biological function and their involvement in antiviral response mechanisms may be different, and extrapolation of results from one species to another may be unwarranted. The two species have been separated for ~ 71 million years [18], during which time their viral immunity mechanisms have had time to diverge. Third, the observation that EVEs are enriched in transposable element-rich regions or piRNA clusters depends on the EVE count used to calculate the statistical significance of enrichment [11, 12, 17, 45]. With four flavivirus integration events and 65% of the Ae. aegypti genome composed of transposable elements [22], there is insufficient information to conclude with confidence that flavivirus integrations have a preference for transposable element-rich regions. Since all copies arising from the same event are tightly clustered on the genome, but the distance between different events is measured in hundreds of mega base pairs, the clustering in transposable element-rich regions may be the result of physical proximity. There are insufficient available data to refute either hypothesis.

Our work has some limitations. First, we cannot claim to have identified all EVEs in either species. For example, when comparing our EVEs from the AaegL5 assembly to those previously reported from the Aag2 assembly [13], we observed an 388-bp EVE that we previously missed which does not appear to be part of any of the four putative integration events. Furthermore, recent work in Ae. aegypti [10] identified sequences similar to those of Cell-fusing agent virus in a number of RNAseq replicates and in several DNA WGS libraries [31] in which the latter is unexpected, and suggests the presence of an EVE. We replicated this analysis and found fragments of this Cell-fusing agent virus sequence in some WGS libraries including three out of five generated by our laboratory, though not in AaegL5 raw reads. When we further BLASTN searched 15 long-read libraries available for Ae. aegypti [35] against all NCBI RefSeq flavivirus sequences, we found that hits against the Cell-fusing agent virus have both high identity and long length. These hits are surrounded by highly repetitive regions and map to different chromosomes. While a set of EVEs from the Ae. aegypti reference genome are highly conserved, the characterisation and degree of conservation of these Cell-fusing agent virus-like sequences remain to be determined.

Second, while we used nearly all complete or almost complete flavivirus genomes that we could find in the NCBI database, we did exclude some results from our analysis, including 2035 hits from 370 dengue-1 RNA virus genomes sourced from South America. Surprisingly, these hits were generated by WGS libraries of Ae. aegypti mosquitoes sourced from outside South America. At 51–64 nt, these dengue 1 sequences are much shorter than core Ae. aegypti EVEs; they also do not exhibit clustering on the reference genome, but they warrant further investigation.

Third, from our analysis we were unable to draw any inference concerning the long-term history of EVEs in either Ae. aegypti or Ae. albopictus. There was one sample from the long-established Liverpool colony, but a single historic data point is insufficient to make inferences regarding the age or relative strength of selective pressure on EVEs.

Fourth, while we have demonstrated differences in SNP density between Ae. aegypti EVEs, due to our assertion that some EVEs are the result of duplication of original viral integration sequences, we cannot say with absolute confidence that SNPs are the result of genuine sequence differences between samples rather than mis-mapping of reads from related EVEs. This uncertainly implies that the number of SNPs and InDels in EVEs may be lower than we identified.

Overall, our analysis of Aedes genomes suggests that flaviviruses integrated as long sequences and were subsequently fragmented and shuffled by transposable elements. We also determined that Ae. aegypti has a core set of highly conserved flaviviral EVEs, unlike Ae. albopictus whose EVEs show very limited conservation. The future availability of further WGS data, particularly from long-read sequencing platforms, will provide greater clarity regarding the conservation of EVEs among and between species. Importantly, the results that we report here should narrow the focus of future work investigating the functional role of mosquito flaviviral EVEs. Given flaviviral EVEs of the two Aedes species have different frequencies, belong to different phylogenetic clades and have differing levels of conservation, they are likely to have different evolutionary origins and may have different functional roles.


We analysed endogenous flavivirus elements in Ae. aegypti and Ae. albopictus and found that the reference genomes contain evidence of no more than four and nine flavivirus integration events, respectively. We have demonstrated that these EVEs are also present in field samples, and that conservation of EVEs is much higher in Ae. aegypti than in Ae. albopictus. In light of these findings, the EVEs of these two species are likely to have different evolutionary origins and their functions should be investigated.



We used AaegL5 (GCA_002204515.1) [22], C6/36 (GCA_001876365.2) [40], AaloF1 (GCA_001444175.1) [11], Aag2 (PRJNA398563) mosquito assemblies from VectorBase [46], and the AaloF2 assembly (GCA_006496715.1) [39] from NCBI [29]. For flavivirus genomes, we searched the NCBI RefSeq and Nucleotide database (accessed May 2019) for all sequences with flavivirus taxa and with lengths over 10 kbp. This search resulted in 10,644 sequences.

BLAST search, grouping of EVEs and confirmation

The data analysis steps, including exclusion of spurious BLAST hits, are summarized in Additional file 2: Chart S1. To identify EVEs in the mosquito genomes, we used a local implementation of the NCBI BLASTN tool [21]. We noticed that, due to the methodology of the NCBI BLAST online search [47], replicating our results required a very narrow specification of the subject sequence, otherwise the search could return weaker hits from different organisms. We searched viral genomes against the mosquito assemblies using word size 11 and an e-value cut-off of 0.001, unless specified otherwise. A word size of 7 did not add substantially to the results, but increasing the word size to 15 substantially reduced the number of results (Additional file 1: Figure S2). The e-values of matches were similar in all cases. When comparing EVEs between different assemblies, we performed the analysis independently for each assembly (see Additional file 2: Chart S1), and then compared the findings between them. For comparisons between identified EVEs, we used the NCBI online BLASTN tool [21]. EVEs were grouped into viral integration events based on: (i) the similarity of gap lengths between consecutive BLAST hits on the mosquito and viral genome (Table 2); (ii) BLASTN comparison between each EVE. EVEs were grouped into the same integration event if the gap in (i) was very similar, or the hits in (ii) overlapped by > 50 bp and shared > 94% identity of overlapping segments. These parameters were determined analytically (Additional file 1: Figure S3).

To confirm our findings for Ae. aegypti, we used 425 available Illumina libraries from PRJNA602495 [48]. These WGS data covered sub-Saharan Africa, Brazil and Thailand. We also included four samples from PRJNA419379 [22] based on four lab colonies, including the Liverpool strain used to build AaegL5. Finally, we used Illumina sequences from five Cape Verde samples generated by our laboratory. For Ae. albopictus, we used 38 WGS public libraries (PRJNA562979) [11] and 34 libraries from SRP051355. Samples in PRJNA562979 are from the municipality of Tapachula in Mexico and the Le Tampon commune in Réunion Island, while samples in SRP051355 are from an unspecified region of China. We aligned the EVEs using Bowtie2 software using the sensitive-local preset [49]. Based on previous evaluations [50], we used Bowtie2 software [49] for piRNA alignment allowing for one mismatch.

Long-reads analysis

We used PacBio long reads from the Aag2 cell line sequencing project (PRJNA398563) [13] to confirm the presence of observed EVEs. We aligned the sequencing reads (lengths > 15 kbp; flavivirus genomes are ~ 11 kbp) to the mosquito genome regions containing EVEs by using Minimap2 software [51] (with default settings), and retained only those reads where the length of aligned fragments (after soft and hard clipping) was over 5000 nt. For confirmation of AE1.1, we used all long reads regardless of length.

Phylogenetic analysis and clustering

To construct the phylogeny of NS1 proteins, we aligned EVE fragments to flaviviruses present in the NCBI Reference Protein database using BLASTX [21], and adopted the translation that had highest coverage and identity (XAFV for Ae. aegypti, Aedes flavivirus strain Bangkok for Ae. albopictus). For those EVEs that had a frameshift mutation, the protein sequences corresponding to the different frames were manually stitched together. The resulting sequence spanned 939–1130 amino acids of the used outgroup Yokose virus (NP_872627.1). We then aligned all protein sequences identified in BLAST using the PROBCONS tool [52], and created an unrooted maximum likelihood phylogenetic tree using IQ-TREE software [43], under its automatic model selection settings. Based on that tree, from all flaviviruses we selected a well-defined clade of insect-specific flaviviruses. We realigned this subset of proteins and rebuilt a tree based on this subset. Yokose virus, found in bats, was used as an outgroup [53]. For phylogenetic reconstruction and SNP analysis of Ae. aegypti EVEs and cox1 genes, we aligned the WGS libraries to the AaegL5 reference assembly using bowtie2 software [49]. We then created a consensus FASTA sequence using bcftools [54], aligned sequences with Mafft [55], and reconstructed the phylogenetic trees using IQ-TREE software [43] under its automatic model selection setting.

For the cluster analysis, we used the t-SNE algorithm [32] implemented in R [56]. For clustering of EVEs across samples, our input matrix dimensions were EVEs as rows and samples as columns, with individual values being the percentage of EVE covered over fivefold in a given sample. For clustering of sample geographies across EVEs, we used the inverse of the above. Heatmaps were produced in R [57].

SNP and InDel analysis

SNPs and InDels were called using bcftools (v.1.9) [58] and results were collated using bedtools (v2.29.2) [59].

Availability of data and materials

All sequence data are available from NCBI. Identified EVEs and BLASTN hits are available in Additional files (see


  1. Lwande OW, Obanda V, Lindström A, Ahlm C, Evander M, Näslund J, et al. Globe-trotting Aedes aegypti and Aedes albopictus: risk factors for arbovirus pandemics. Vector-Borne Zoonotic Dis. 2020;20(2):71–81.

    PubMed  PubMed Central  Google Scholar 

  2. Samy AM, Elaagip AH, Kenawy MA, Ayres CFJ, Peterson AT, Soliman DE. Climate change influences on the global potential distribution of the mosquito Culex quinquefasciatus, vector of West Nile virus and lymphatic filariasis. PLoS ONE. 2016;11(10):e0163863.

    PubMed  PubMed Central  Google Scholar 

  3. Dickens BL, Sun H, Jit M, Cook AR, Carrasco LR. Determining environmental and anthropogenic factors which explain the global distribution of Aedes aegypti and Ae. Albopictus. BMJ Glob Health. 2018.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Kraemer MUG, Sinka ME, Duda KA, Mylne AQN, Shearer FM, Barker CM, et al. The global distribution of the arbovirus vectors Aedes aegypti and Ae. Albopictus. Elife. 2015;4:e08347.

    PubMed  PubMed Central  Google Scholar 

  5. Houé V, Bonizzoni M, Failloux A-B. Endogenous non-retroviral elements in genomes of Aedes mosquitoes and vector competence. Emerg Microbes Infect. 2019;8:542–55.

    PubMed  PubMed Central  Google Scholar 

  6. Mongelli V, Saleh M-C. Bugs are not to be silenced: small RNA pathways and antiviral responses in insects. Annu Rev Virol. 2016;3:573–89.

    CAS  PubMed  Google Scholar 

  7. Blair CD, Olson KE. The role of RNA interference (RNAi) in arbovirus-vector interactions. Viruses. 2015;7(2):820–43.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Lambrechts L, Saleh MC. Manipulating mosquito tolerance for arbovirus control. Cell Host Microbe. 2019.

    Article  PubMed  Google Scholar 

  9. Rosendo Machado S, van der Most T, Miesen P. Genetic determinants of antiviral immunity in dipteran insects—compiling the experimental evidence. Dev Comp Immunol. 2021;119:104010.

    CAS  PubMed  Google Scholar 

  10. Suzuki Y, Baidaliuk A, Miesen P, Frangeul L, Crist AB, Merkling SH, et al. Non-retroviral endogenous viral element limits cognate virus replication in Aedes aegypti ovaries. Curr Biol. 2020;30(18):3495–506.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Palatini U, Miesen P, Carballar-Lejarazu R, Ometto L, Rizzo E, Tu Z, et al. Comparative genomics shows that viral integrations are abundant and express piRNAs in the arboviral vectors Aedes aegypti and Aedes albopictus. BMC Genom. 2017;18:512.

    Article  CAS  Google Scholar 

  12. ter Horst AM, Nigg JC, Dekker FM, Falk BW. Endogenous viral elements are widespread in arthropod genomes and commonly give rise to PIWI-interacting RNAs. J Virol. 2018;93:2124–42.

    Google Scholar 

  13. Whitfield ZJ, Dolan PT, Kunitomi M, Tassetto M, Seetin MG, Oh S, et al. The diversity, structure, and function of heritable adaptive immunity sequences in the Aedes aegypti genome. Curr Biol. 2017;27:3511.e7-3519.e7.

    Google Scholar 

  14. Crochu S, Cook S, Attoui H, Charrel RN, De CR, Belhouchet M, et al. Sequences of flavivirus-related RNA viruses persist in DNA form integrated in the genome of Aedes spp. mosquitoes. J Gen Virol. 2004;85:1971–80.

    Article  CAS  PubMed  Google Scholar 

  15. Katzourakis A, Gifford RJ. Endogenous viral elements in animal genomes. PLoS Genet. 2010;6:e1001191.

    PubMed  PubMed Central  Google Scholar 

  16. Ruzzante L, Reijnders MJMF, Waterhouse RM. Of genes and genomes: mosquito evolution and diversity. Trends Parasitol. 2019;35:32–51.

    CAS  PubMed  Google Scholar 

  17. Suzuki Y, Frangeul L, Dickson LB, Blanc H, Verdier Y, Vinh J, et al. Uncovering the repertoire of endogenous flaviviral elements in Aedes mosquito genomes. J Virol. 2017.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Chen X-G, Jiang X, Gu J, Xu M, Wu Y, Deng Y, et al. Genome sequence of the Asian tiger mosquito, Aedes albopictus, reveals insights into its biology, genetics, and evolution. Proc Natl Acad Sci. 2015;112(44):E5907–15.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Lequime S, Lambrechts L. Discovery of flavivirus-derived endogenous viral elements in Anopheles mosquito genomes supports the existence of Anopheles-associated insect-specific flaviviruses. Virus Evol. 2017;3:vew035.

    PubMed  PubMed Central  Google Scholar 

  20. Liu J, Swevers L, Kolliopoulou A, Smagghe G. Arboviruses and the challenge to establish systemic and persistent infections in competent mosquito vectors: the interaction with the RNAi mechanism. Front Physiol. 2019;10:890.

    PubMed  PubMed Central  Google Scholar 

  21. Boratyn GM, Schäffer AA, Agarwala R, Altschul SF, Lipman DJ, Madden TL. Domain enhanced lookup time accelerated BLAST. Biol Direct. 2012;7(1):1–14.

    Google Scholar 

  22. Matthews BJ, Dudchenko O, Kingan SB, Koren S, Antoshechkin I, Crawford JE, et al. Improved reference genome of Aedes aegypti informs arbovirus vector control. Nature. 2018;563:501–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Leyssen P, Charlier N, Lemey P, Billoir F, Vandamme AM, De Clercq E, et al. Complete genome sequence, taxonomic assignment, and comparative analysis of the untranslated regions of the Modoc virus, a flavivirus with no known vector. Virology. 2002;293:125–40.

    CAS  PubMed  Google Scholar 

  24. Fan H, Zhao Q, Guo X, Sun Q, Zuo S, Wu C, et al. Complete genome sequence of Xishuangbanna flavivirus, a novel mosquito-specific flavivirus from China. Arch Virol. 2016;161(6):1723–7.

    CAS  PubMed  Google Scholar 

  25. Zhang X, Guo X, Fan H, Zhao Q, Zuo S, Sun Q, et al. Complete genome sequence of Menghai flavivirus, a novel insect-specific flavivirus from China. Arch Virol. 2017;162(5):1435–9.

    CAS  PubMed  Google Scholar 

  26. Gil P, Dupuy V, Koual R, Gueye Fall A, Biteye B, Gimonneau G, et al. A library preparation optimized for RNA virus metagenomics allows sensitive detection of an arbovirus in wild-caught vectors. P14. B Abstr Pathobiome 2018. INRA; 2018.

  27. Miesen P, Joosten J, van Rij RP. PIWIs go viral: arbovirus-derived piRNAs in vector mosquitoes. PLOS Pathog. 2016;12:e1006017.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Saldaña MA, Etebari K, Hart CE, Widen SG, Wood TG, Thangamani S, et al. Zika virus alters the microRNA expression profile and elicits an RNAi response in Aedes aegypti mosquitoes. PLoS Negl Trop Dis. 2017;11(7):e0005760.

    PubMed  PubMed Central  Google Scholar 

  29. Agarwala R, Barrett T, Beck J, Benson DA, Bollin C, Bolton E, et al. Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2018;36:D13–21.

    Google Scholar 

  30. Klitting R, Gould EA, de Lamballerie X. G+C content differs in conserved and variable amino acid residues of flaviviruses and other evolutionary groups. Infect Genet Evol. 2016;45:332–40.

    CAS  PubMed  Google Scholar 

  31. Crava CM, Varghese FS, Pischedda E, Halbach R, Palatini U, Marconcini M, et al. Population genomics in the arboviral vector Aedes aegypti reveals the genomic architecture and evolution of endogenous viral elements. Mol Ecol. 2021.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Van Der Maaten L, Hinton G. Visualizing data using t-SNE. J Mach Learn Res. 2008;9:2579–605.

    Google Scholar 

  33. Soghigian J, Gloria-Soria A, Robert V, Le Goff G, Failloux A, Powell JR. Genetic evidence for the origin of Aedes aegypti, the yellow fever mosquito, in the southwestern Indian Ocean. Mol Ecol. 2020;29:3593–606.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Gloria-Soria A, Ayala D, Bheecarry A, Calderon-Arguedas O, Chadee DD, Chiappero M, et al. Global genetic diversity of Aedes aegypti. Mol Ecol. 2016;25:5377–95.

    PubMed  PubMed Central  Google Scholar 

  35. Redmond SN, Sharma A, Sharakhov I, Tu Z, Sharakhova M, Neafsey DE. Linked-read sequencing identifies abundant microinversions and introgression in the arboviral vector Aedes aegypti. BMC Biol. 2020;18:26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Kotsakiozi P, Evans BR, Gloria-Soria A, Kamgang B, Mayanja M, Lutwama J, et al. Population structure of a vector of human diseases: Aedes aegypti in its ancestral range, Africa. Ecol Evol. 2018;8:7835–48.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Cameron SL. Insect mitochondrial genomics: implications for evolution and phylogeny. Annu Rev Entomol. 2014;59:95–117.

    Article  CAS  PubMed  Google Scholar 

  38. Robinson JT, Thorvaldsdóttir H, Wenger AM, Zehir A, Mesirov JP. Variant review with the integrative genomics viewer. Cancer Res. 2017;77(21):e31–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Palatini U, Masri RA, Cosme LV, Koren S, Thibaud-Nissen F, Biedler JK, et al. Improved reference genome of the arboviral vector Aedes albopictus. Genome Biol. 2020;21:215.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Miller JR, Koren S, Dilley KA, Puri V, Brown DM, Harkins DM, et al. Analysis of the Aedes albopictus C6/36 genome provides insight into cell line utility for viral propagation. Gigascience. 2018;7:1–13.

    PubMed  Google Scholar 

  41. Bolling BG, Vasilakis N, Guzman H, Widen SG, Wood TG, Popov VL, et al. Insect-specific viruses detected in laboratory mosquito colonies and their potential implications for experiments evaluating arbovirus vector competence. Am J Trop Med Hyg. 2015;92:422–8.

    PubMed  PubMed Central  Google Scholar 

  42. Blitvich BJ, Firth AE. Insect-specific flaviviruses: a systematic review of their discovery, host range, mode of transmission, superinfection exclusion potential and genomic organization. Viruses. 2015;7(4):1927–59.

    CAS  PubMed  PubMed Central  Google Scholar 

  43. Nguyen LT, Schmidt HA, Von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32:268–74.

    CAS  PubMed  Google Scholar 

  44. Kuno G. Early history of laboratory breeding of Aedes aegypti (Diptera: Culicidae) focusing on the origins and use of selected strains. J Med Entomol. 2010;47(6):957–71.

    Article  PubMed  Google Scholar 

  45. Pischedda E, Scolari F, Valerio F, Carballar-Lejarazú R, Catapano PL, Waterhouse RM, et al. Insights into an unexplored component of the mosquito repeatome: distribution and variability of viral sequences integrated into the genome of the arboviral vector Aedes albopictus. Front Genet. 2019;10:93.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Giraldo-Calderón GI, Emrich SJ, MacCallum RM, Maslen G, Emrich S, Collins F, et al. VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases. Nucleic Acids Res. 2015;43(D1):D707–13.

    PubMed  Google Scholar 

  47. Shah N, Nute MG, Warnow T, Pop M. Misunderstood parameter of NCBI BLAST impacts the correctness of bioinformatics workflows. Bioinformatics. 2019;35:1613–4.

    CAS  PubMed  Google Scholar 

  48. Rose NH, Sylla M, Badolo A, Lutomiah J, Ayala D, Aribodor OB, et al. Climate and urbanization drive mosquito preference for humans. Curr Biol. 2020;30(18):3570–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9:357–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Ziemann M, Kaspi A, El-Osta A. Evaluation of microRNA alignment techniques. RNA. 2016;22:1120–38.

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Li H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics. 2018;34(18):3094–100.

    CAS  PubMed  PubMed Central  Google Scholar 

  52. Do CB, Mahabhashyam MSP, Brudno M, Batzoglou S. ProbCons: probabilistic consistency-based multiple sequence alignment. Genome Res. 2005;15:330–40.

    CAS  PubMed  PubMed Central  Google Scholar 

  53. Tajima S, Takasaki T, Matsuno S, Nakayama M, Kurane I. Genetic characterization of Yokose virus, a flavivirus isolated from the bat in Japan. Virology. 2005;332:38–44.

    CAS  PubMed  Google Scholar 

  54. Li H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics. 2011;27:2987–93.

    CAS  PubMed  PubMed Central  Google Scholar 

  55. Katoh K. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 2002;30:3059–66.

    CAS  PubMed  PubMed Central  Google Scholar 

  56. Krijthe J. T-distributed stochastic neighbor embedding using a Barnes-Hut implementation [R package Rtsne version 0.15]. Comprehensive R Archive Network (CRAN). 2018.

  57. Revell LJ. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol Evol. 2012;3:217–23.

    Article  Google Scholar 

  58. Narasimhan V, Danecek P, Scally A, Xue Y, Tyler-Smith C, Durbin R. BCFtools/RoH: a hidden Markov model approach for detecting autozygosity from next-generation sequencing data. Bioinformatics. 2016;32:1749–51.

    CAS  PubMed  PubMed Central  Google Scholar 

  59. Quinlan AR. BEDTools: the Swiss-Army tool for genome feature analysis. Curr Protoc Bioinform. 2014;47:11.12.1–34.

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We thank the Medical Research Council (MRC) eMedLab for the computing resources that were used for the bioinformatics and statistical analyses.


TGC received funding from the MRC UK (grant nos. MR/K000551/1, MR/M01360X/1, MR/N010469/1, MR/R020973/1) and the Biotechnology and Biological Sciences Research Council UK (BB/R013063/1). SC received funding from MRC UK grants (MR/R020973/1), Bloomsbury SET (Science, Economics, Technology), and the Biotechnology and Biological Sciences Research Council, UK (BB/R013063/1).

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AS, MC, FM, TGC and SC conceived and directed the project. AS performed bioinformatic and statistical analyses under the supervision of FM, TGC and SC. EDB, JP and FM provided bioinformatic tools. AS wrote the first draft of the manuscript. All authors commented on and edited various versions of the draft. AS, TGC and SC compiled the final manuscript. All authors read and approved the final manuscript.

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Correspondence to Taane G. Clark or Susana Campino.

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Supplementary Information

Additional file 1

: Table S1. Descriptive statistics of excluded and retained sequences. Table S2. Identified endogenous viral elements (EVEs) previously reported with poor or no mapping to AaegL5. Aag2 and AaegL5 contain the same set of EVEs, apart from those noted above. Figure S1. Viral sequences matching to a region on chromosome 2 of Aedes aegypti AaegL5. Figure S2. Effects of changing Basic Local Alignment Search Tool N (BLASTN) word size on matched sequences between Ae. aegypti AaegL5 chromosome 2 (461,306,089–461,312,509) and Xishuangbanna aedes flavivirus (XAFV) genome. Figure S3. Percentage identity and alignment length of all EVEs (from Table 2) as calculated by BLASTN. Figure S4. The ratio of forward genomic strand to total aligning P-element-induced wimpy testis-interacting (piRNA) [25–29 nucleotides (nt)] reads in AaegL5 chromosome 2. Figure S5. Characteristic appearance of AaegL5 regions with flavivirus EVEs. Fourth track of each panel shows EVEs. Figure S6. Clustering of EVEs share of the EVE with at least fivefold read coverage. Figure S7. Geographic clustering of EVEs identified in the reference genome of Aedes albopictus. Figure S8. Alignment length and identity between EVEs in Ae. aegypti AaegL5 and Ae. albopictus AalbF2. Figure S9. Synteny plots of viral integration events.

Additional file 2.

Chart S1, BLASTN results processing flow diagram.

Additional file 3.

All BLASTN hits from AaegL5 assembly.

Additional file 4.

Accension IDs of all used flavivirus genomes.

Additional file 5.

All BLASTN hits from AaloF2 assembly.

Additional file 6.

EVE coordinates and sequences identified in AaloF2.

Additional file 7.

EVE bedfiles for AaegL5 and AaloF2 assemblies; phylogenetic trees and corresponding metadata for Ae. aegypti EVEs and cox1 gene.

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Spadar, A., Phelan, J.E., Benavente, E.D. et al. Flavivirus integrations in Aedes aegypti are limited and highly conserved across samples from different geographic regions unlike integrations in Aedes albopictus. Parasites Vectors 14, 332 (2021).

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