The genome of the fire ant Solenopsis invicta
Edited* by Gene E. Robinson, University of Illinois at Urbana–Champaign, Urbana, IL, and approved November 8, 2010 (received for review July 6, 2010)
Commentary
March 28, 2011
Abstract
Ants have evolved very complex societies and are key ecosystem members. Some ants, such as the fire ant Solenopsis invicta, are also major pests. Here, we present a draft genome of S. invicta, assembled from Roche 454 and Illumina sequencing reads obtained from a focal haploid male and his brothers. We used comparative genomic methods to obtain insight into the unique features of the S. invicta genome. For example, we found that this genome harbors four adjacent copies of vitellogenin. A phylogenetic analysis revealed that an ancestral vitellogenin gene first underwent a duplication that was followed by possibly independent duplications of each of the daughter vitellogenins. The vitellogenin genes have undergone subfunctionalization with queen- and worker-specific expression, possibly reflecting differential selection acting on the queen and worker castes. Additionally, we identified more than 400 putative olfactory receptors of which at least 297 are intact. This represents the largest repertoire reported so far in insects. S. invicta also harbors an expansion of a specific family of lipid-processing genes, two putative orthologs to the transformer/feminizer sex differentiation gene, a functional DNA methylation system, and a single putative telomerase ortholog. EST data indicate that this S. invicta telomerase ortholog has at least four spliceforms that differ in their use of two sets of mutually exclusive exons. Some of these and other unique aspects of the fire ant genome are likely linked to the complex social behavior of this species.
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The major organizing principle of societies of bees, wasps, termites, and ants is a reproductive division of labor, whereby one or a few individuals (the queens and males) specialize in reproduction and the majority of individuals (the workers and soldiers) participate in cooperative tasks such as building the nest, collecting food, rearing the young, and defending the colony. This social organization provides numerous advantages and forms the basis for the tremendous ecological success of social insects. For example, they are found in almost every type of terrestrial environment, make up as much as 50% of animal biomass in some habitats, and play crucial roles as predators, pollinators, and soil processors (1).
In addition to being critically important members of many terrestrial ecosystems, many ant species are also highly successful invasive pests. One such notorious invasive ant species is the fire ant, Solenopsis invicta (Fig. 1A). This species was inadvertently introduced to the southern United States from South America in the 1930s (2, 3). S. invicta is now of profound economic importance, with annual losses to households, businesses, governments, and institutions of $5,000 million across the United States (4). For example, S. invicta aggressively uses its very potent sting, inflicting pain and inducing hypersensitivity reactions in humans (Fig. 1B). Furthermore, it forms large colonies at high densities, is capable of damaging agricultural machinery, and thus interfering with crop production and harvesting (5, 6). The many existing methods of fire ant control have failed to halt the spread of this exotic species and have hurt its indigenous competitors. There is thus an urgent need to develop effective and safe alternative management techniques (7). Despite extensive quarantine and extermination efforts, S. invicta is now also found in many other countries including Australia, China, and Taiwan (8–10).
Fig. 1.
The past decade has seen the development of several tools for studying ants at the molecular level (11, 12). Although these tools have provided insights into the genetics of caste differentiation (13, 14) and the effects of social context (15, 16), they are somewhat limited, given that they survey only a small subset of the genome. We therefore undertook whole-genome sequencing and de novo assembly of the fire ant S. invicta.
Results and Discussion
Genome Assembly.
We report the draft sequence of the genome of the fire ant S. invicta, obtained by combined Roche 454 and Illumina technologies for a sequencing cost of approximately $230,000. Our assembly strategy was as follows: We first assembled only Illumina 352-bp insert paired-end reads (Table S1A) and subsequently chopped up the resulting assembly into sequences equivalent to the length of Roche 454 reads. These artificial reads then were combined with Roche 454 shotgun-sequenced reads, resulting in 352.7 Mb of assembled data split among 90,231 contigs with an N50 size of 14,674 bp (N50 is the length such that 50% of the assembled sequence lies in blocks of length N50 or greater). Using 8- and 20-kb insert paired-end Roche 454 reads, 31,250 of the contigs were joined to form 10,543 scaffolds with an N50 size of 720,578 bp (Table 1 and Table S1F). These scaffolds represent a total of 352.7 Mb of sequence including 41.3 Mb of undetermined “N” bases found within scaffolds between consecutive contigs. The remaining 58,981 contigs that could not be placed in scaffolds represent a total of 43.4 Mb of sequence and are significantly shorter than those that were placed in scaffolds (maximum size: 2,002 bp). Among these nonscaffolded contigs, 95% were clustered to each other by blastclust as having more than 50% sequence identity over half the sequence length or very significant similarity (blastn E < 10−30) to one or more genome scaffolds. These contigs likely are highly repetitive elements (Fig. S1), consistent with the estimation that 23% of the S. invicta genome consists of highly repetitive or foldback elements (17).
Table 1.
| Scaffolds* | Scaffolded contigs | Nonscaffolded contigs | All contigs | |
|---|---|---|---|---|
| Number | 10,543 | 31,250 | 58,981 | 90,231 |
| N50 size (bp) | 720,578 | 18,166 | 983 | 14,674 |
| Maximum size (bp) | 6,355,204 | 192,021 | 2,002 | 192,021 |
| Mean size (bp) | 33,452 | 9,965 | 735 | 3,931 |
| Minimum size (bp) | 1,997 | 397 | 200 | 200 |
| Total consensus (bp) | 352,687,102 | 311,407,343 | 43,332,432 | 354,739,775 |
*Scaffolds include gaps between adjacent contigs. The estimated lengths of these gaps are included in scaffold size estimations. True sizes likely are slightly different.
We assessed the accuracy and completeness of the S. invicta assembly by comparing it with an independently sequenced and assembled set of ESTs putatively representing 12,488 genes. Among these putative gene transcripts, 98.2% mapped to the genome assembly (blastn E < 10−50). A total of 580 putative transcripts contained two nonoverlapping 200-bp regions that mapped to two different scaffolded contigs. In the 383 cases in which exons from the same putative gene mapped to different contigs within the same scaffold, scaffolding of contigs was consistent with exon order and orientation. In the remaining 197 cases, putative exons mapped to contigs from different scaffolds. We manually inspected 50 of these to determine whether there was evidence for the scaffolds overlapping and whether the 8- and 20-kb insert libraries provided evidence for the scaffolds being adjacent. In 46 of the 50 cases, the scaffolds were probably either adjacent or the smaller scaffold filled a gap in the larger scaffold. Inconsistent mapping of the four remaining putative transcripts possibly reflected problems with EST assembly because three of the four transcripts had highly significant blast similarity to at least two normally unrelated genes. Overall, these results confirm that the genome assembly is essentially complete for gene content and that scaffolding is reliable.
Although the scaffolded S. invicta sequence represents 352.7 Mb, unresolved repeats bring the Roche 454 Newbler software estimated genome size to 484.2 Mb. This difference is likely due to the difficulty of resolving repeats. Three conflicting estimates of the haploid genome size of S. invicta have been reported previously: 591 Mb (0.62 pg) via reassociation kinetics (17), 753.3 Mb via flow cytometry (18), and 463 Mb via Feulgen image analysis densitometry (0.47 pg reported in ref. 19). The latter estimate is most consistent with our results. Discrepancies in genome size estimations have been previously reported (19, 20). Such variation may be due to technical issues, differences in examined cell types, endoparasitic load, transposon activity, or possibly other genetic differences between individuals or populations.
Gene Content.
A combination of ab initio, EST-based, and sequence similarity-based methods generated an official gene set of 16,569 protein-coding genes. There were significant differences in the guanine-cytosine contents of exons (45.0%), introns (30.9%), the 2,000-bp surrounding genes (1,000 bp up- and downstream; 33.5%), and the genome in general (36.1%) (t tests, Bonferonni-corrected, all P values <10−10). These results are similar to those in the honey bee (21). Blastp search of fire ant proteins against protein databases indicate that 47% of S. invicta genes have the strongest similarity to apoid sequences, and another 22% have the strongest similarity to Nasonia (Fig. 2), which is consistent with ants being more closely related to bees than to chalcidoid wasps (23). An additional 13% of S. invicta genes have the highest similarity to nonhymenopteran sequences, suggesting that they may be evolving slowly in S. invicta or have been lost in Apis mellifera and Nasonia. Finally, 18% of S. invicta proteins have no significant similarity (E > 10−5) to non-Solenopsis sequences in the GenBank nonredundant protein database (25), suggesting that they may be fast-evolving or ant-specific. Similarly, 17% of the proteins in the Nasonia vitripennis official gene set have no significant similarity to non-Nasonia sequences in the nonredundant protein database.
Fig. 2.
Functional Categories.
S. invicta appears to harbor a typical insect gene repertoire. For example, the S. invicta genome includes a complete set of small RNA-processing genes with orthologs to Argonaute, Drosha, Pasha, Dicer-1, Dicer-2, Loquacious, and R2D2. Domain analyses of the S. invicta, N. vitripennis, Drosophila melanogaster, and A. mellifera proteomes reveal several putative gene duplications in fire ants (Dataset S1). We highlight here the significance of these duplication events in vitellogenins, odor perception genes, and a family of lipid-processing genes. We also discuss additional features of interest in the fire ant genome relevant to the complex social biology of this species, including sex determination genes, DNA methylation genes, telomerase, and the insulin and juvenile hormone pathways.
Vitellogenins.
In contrast to other insects that mainly have only one or two vitellogenins, the fire ant genome harbors four adjacent copies of vitellogenin (Vg1-4) (Fig. 3A), all of which are at least partially supported by EST reads. A phylogenetic analysis reveals that an ancestral vitellogenin gene first underwent duplication, followed by possibly independent duplications of each of the daughter vitellogenins, thus giving rise to Vg1 and Vg4 and to Vg2 and Vg3. All of these duplications occurred after the ancestor of fire ants split from wasps and bees (Fig. 3B). The single vitellogenin found in A. mellifera is a multifunctional protein (26) involved in the regulation of life span (27, 28) and division of labor (29). Quantitative RT-PCR shows that Vg1 and Vg4 are preferentially expressed in workers and Vg2 and Vg3 in queens (Fig. 3C, SI Materials and Methods, and Table S1G). Vitellogenin expression in S. invicta workers is surprising because they lack ovaries. Given the superorganism properties of ant societies, the expression patterns suggest that vitellogenins underwent neo- or subfunctionalization after duplication to acquire caste-specific functions.
Fig. 3.
Odor Perception.
Consistent with studies in other insects, we find a single S. invicta ortholog to DmOr83b, a broadly expressed olfactory receptor (OR) required to interact with other ORs for Drosophila and Tribolium castaneum olfaction (30–32). Beyond OR83b, OR number varies greatly between insect species. Blast searches and GeneWise searches using an HMM profile constructed with aligned ORs from N. vitripennis (33) and Pogonomyrmex barbatus identified more than 400 loci in the S. invicta genome with significant sequence similarity to ORs. Preliminary work on gene model reconstruction identified 297 intact full-length proteins. Many S. invicta ORs are in tandem arrays (Fig. S2A) and derive from recent expansions. S. invicta may thus harbor the largest identified insect OR repertoire because there are 10 ORs in Pediculus humanus (34), 60 in Drosophila, 165 in A. mellifera, 225 in N. vitripennis (33), and 259 in T. castaneum (32). The large numbers of N. vitripennis and T. castaneum ORs are thought to be due to current or past difficulties in host and food finding. As has been suggested for A. mellifera (35), the large number of S. invicta ORs may result from the importance of chemical communication in ants. The odorant-binding proteins (OBPs) are another family of genes also known to play roles in chemosensation in Drosophila (36). Intriguingly, the social organization of S. invicta colonies is completely associated with sequence variation at the OBP gene Gp-9 (37, 38). We find 12 OBP domains in the S. invicta genome, 2 of which are differentially expressed between workers of alternate Gp-9 genotypes (15). Further analyses will be required to determine the extent to which these genes are directly involved in the morphological and behavioral differences between queens and workers of the two alternate social organizations of S. invicta.
Lipid Metabolism.
An unusually high number of genes in S. invicta have the following protein domains related to fatty-acid metabolism: Ketoacyl-synt (PF00109), Ketoacylsynt_C (PF02801), and Acyl_transf_1 (PF00698) (Dataset S1). Although some are likely pseudogenes, nine S. invicta genes are complete and carry all three domains. In comparison, A. mellifera and D. melanogaster have only two such genes whereas N. vitripennis has six (respective odds ratios: 2.3, 3.4, and 0.8). The expansion of fatty-acid metabolism-related genes in S. invicta could stem from the fact that young S. invicta queens accumulate as much as 60% of their body mass in the form of lipids within the 2 weeks following eclosion from the pupae (39) as a means of rearing a first worker brood for the duration of a claustral phase during which queens neither feed nor forage (40). Alternatively, such lipid-processing genes may help produce the cuticular hydrocarbons that are involved in kin recognition in ants (41).
Sex Determination.
Hymenopterans, including wasps, bees, and ants, have a haplo-diploid sex determination system whereby diploid eggs normally develop into females, and haploid eggs develop into males. In N. vitripennis, female development is initiated by maternally derived transformer/feminizer mRNA in the zygote (42). In contrast, sex is determined by the complementary sex determiner (csd) gene in A. mellifera (43, 44): Eggs that are heterozygous at this locus develop into females, whereas hemizygous haploids and homozygous diploids develop into males. The csd gene is thought to be a recent Apis innovation (43), having arisen through a duplication of the transformer/feminizer gene. The sex determination mechanism in ants is unknown, but the occurrence of diploid males in some S. invicta populations suggests a csd-like mechanism (45, 46). The genome of S. invicta contains two linked sequences with similarity to transformer/feminizer (Fig. S3A), but unlike the A. mellifera sex-determining locus, the S. invicta genes are coded on opposite strands. Members of the Apis transformer/feminizer protein family contain two distinct domains: An N-terminal SDP_N domain and a C-terminal Apis_CSD domain. One of the S. invicta sequences (Tra-A) contains both domains (SDP_N: E = 3.5 × 10−11; Apis_CSD: E = 1.4 × 10−7). The other (Tra-B) contains a partial SDP_N domain (E = 9.5 × 10−4) and a nonsignificant match to Apis_CSD. Alternative splicing of transformer/feminizer mRNA is known to play a crucial role in sex determination for many insects (47). Intriguingly, the S. invicta Tra-B transcript appears to have two different spliceforms, with only one spliceform including the SDP_N domain. This longer form appears to be the dominant transcript in males, whereas both forms are equally expressed in queens and workers (Fig. S3B). A phylogenetic analysis of the transformer/feminizer homologs from several hymenopterans shows that the S. invicta sequences cluster together, consistent with independent transformer/feminizer duplication in the ant and honey bee lineages (Fig. S3C).
Methylation.
S. invicta harbors a complete set of genes known to be involved in DNA methylation, maintenance of methylation patterns, and tRNA methylation in eukaryotes, including DNMT3, DNMT1, and TRDMT1 (previously known as DNMT2) (48). A negative correlation between CpGO/E, a statistical measure of DNA methylation, and enrichment of sequence obtained after methylated DNA immunoprecipitation (MeDIP) from a pool of queen and worker prepupae suggested the existence of functional methylation in S. invicta (Table S1 B and C). DNA methylation was confirmed by sequencing of bisulfite-converted genomic DNA from nine genes (SI Materials and Methods, Fig. S4, Table S1D). DNA methylation is hypothesized to play a key role in developmental responsiveness to environmental factors and may play an important role in social insect caste determination (49). However, the primary targets of DNA methylation in insects appear to be genes with ubiquitous expression across tissues and alternate phenotypes (50–52). Putatively methylated genes identified from MeDIP analysis in S. invicta were enriched for biological processes related to cellular metabolism and transcription (SI Materials and Methods, Table S1E), as is the case with methylated genes in A. mellifera (50).
Telomerase Reverse Transcriptase.
Ants show remarkable intraspecific life-span variation with queens of some species living to the astonishing age of more than 20 y and workers typically dying within several months or at most a few years and males within a few months (53). Aging is associated with a decline in telomere repair and consequent telomere shortening (54) in many animals. Similarly, in the long-lived ant Lasius niger somatic tissues of the short-lived males have dramatically shorter telomeres than those of the much longer-lived queens and workers (55). The telomere sequence of most ants and other insects is composed of TTAGG repeats (56, 57). Consistent with this, the ends of S. invicta chromosomes showed strong hybridization signal to labeled (TTAGG)n probe (Fig. S5). Furthermore, S. invicta sequences harbor many more degenerate TTAGG repeats than vertebrate-like TTAGGG repeats. Finally, in contrast with dipteran insect species that lack telomerase, but similarly to other nondipteran insect species whose genomes have been sequenced, S. invicta has a single putative telomerase ortholog with RNA-binding (TRBD) and reverse transcriptase (TERT) domains. Interestingly, EST data derived from mixed-stage, mixed-caste, whole-body libraries indicate that this S. invicta telomerase ortholog has at least four strongly supported spliceforms that differ in their use of two sets of mutually exclusive exons. These alternative spliceforms may permit fine-tuning of telomerase activity, perhaps in caste- or tissue-specific manners.
Insulin/Insulin-Like Growth Factor Signaling.
Insulin and insulin-like growth factor (IGF) signaling is a key integrative pathway regulating aging and fertility in animals (58, 59). In A. mellifera, insulin and IGF signaling are involved in the regulation of caste determination (60, 61), division of labor (62), and queen longevity (28) and may play similar roles in other social insects. The family of insulin-like peptides (ILPs) underwent many clade and species-specific duplications, leading to 37 members in Caenorhabditis elegans, 27 in Bombyx mori, and 7 in Drosophila and Anopheles. In contrast, S. invicta and A. mellifera have only two orthologous ILPs, one of which also occurs in N. vitripennis (Fig. S2B). Both S. invicta and A. mellifera also have two insulin/IGF1 receptors. Phylogenetic analyses suggest that these two receptors resulted from an ancient duplication with subsequent losses in Diptera and Nasonia. Interestingly, we find that one of the putative insulin/IGF1 receptors belongs to our list of genes putatively subjected to dense methylation in S. invicta (SI Materials and Methods).
Juvenile Hormone.
Juvenile Hormone (JH) regulates larval molting and reproductive development in many insects (63). Increases in JH titer have also been shown to induce soldier-caste differentiation in termites (64) and behavioral changes in A. mellifera workers (65, 66). Interestingly, S. invicta harbors >30 putative juvenile hormone binding protein (JHBPs; PF06585, Dataset S1) encoding genes, more than half of which are located in a single 600,000-bp region. By contrast, there are only 16 such JHBP domains in Nasonia and 19 in A. mellifera. Similarly, the number of genes that encode juvenile hormone epoxide hydrolases (JHEHs), enzymes that degrade JH, is much higher in S. invicta than in A. mellifera (one) and Nasonia (two). Four of the six S. invicta JHEH encoding genes are adjacent, suggesting recent duplications. Because JH titer determines fecundity of S. invicta queens (65), the expansions of both JHBP and JHEH gene families in S. invicta may reflect strong selection occurring after the death of the mother queen with many nonreproductive queens competing to reproduce quickly and become “replacement” queens (40, 67).
In conclusion, this study reveals that a combination of Roche 454 and Illumina sequencing can be used to obtain a good quality genome even when the genome is relatively large and contains a high proportion of repetitive elements. Comparison with other genomes shows that the fire ant genome has many unique properties probably associated with the complex social life of this species. Finally, the sequencing of the fire ant genome provides the foundation for future evolutionary, biomedical, sociogenetic, and pest-management studies of this important pest species and facilitates comparisons with other social species.
Materials and Methods
Computation was performed at the Vital-IT (http://www.vital-it.ch) center for high-performance computing of the Swiss Institute of Bioinformatics. Analyses were assisted by custom Ruby/Bioruby (68, 69), Perl (70), and R (71) scripts. The details of the sequencing, assembly, annotation, and analyses are given in SI Materials and Methods.
Data Availability
Data deposition: The sequences reported in this paper have been deposited at the National Center for Biotechnology Information under Genome Project ID 49629.
Acknowledgments
We thank Christophe Lucas and members of the Marc Robinson-Rechavi laboratory for advice and discussion; Catherine Berney and Christine La Mendola for help in the laboratory; Kenneth G. Ross (Department of Entomology, University of Georgia, Athens, GA), for providing the ants; Jérôme Notari, Laélia Maumary, and Jézaëlle Rufener for help rearing the ants; and Hugh M. Robertson for Pogonomyrmex olfactory receptor sequences. We thank Timothy Harkins, Pascal Bouffard, Linda Burton and 454 Life Sciences, a Roche Company (Branford, CT) for sequencer access, construction of 454 sequencing libraries and access to Newbler software, the Interdisciplinary Center for Biotechnology Research at the University of Florida for Roche 454 sequencing, and the Lausanne Genomic Technologies Facility and Fasteris SA for Illumina sequencing. This work was supported by grants from the European Union-funded Network of Excellence Lifespan FP6 036894, the Swiss National Science Foundation, the University of Lausanne, the Rectorate of the University of Lausanne, an ERC Advanced grant and the Herbette Foundation (to L.K.); US Department of Agriculture Agriculture and Food Research Initiative Award 2009-35302-05301 (to D.S. and J.W.); by an Infectigen grant (to L.K., D.S., and Y.W.); the Academy of Finland Grant 122210 (to P.P.); grants from the European Union-funded Network of Excellence Lifespan FP6 036894, the Swiss National Science Foundation, the University of Lausanne, and the Rectorate of the University of Lausanne (to L.K.); by National Science Foundation Grants DEB-0640690 (to M.A.D.G. and S.V.Y.), MCB-0950896 (to S.V.Y. and M.A.D.G.), and DEB-1011349 (to B.G.H., S.V.Y., and M.A.D.G.); by grants from the Danish National Research Foundation (to S.N. and J.J.B.); by Grant 98AS-9.1.2-BQ-B1(1) from the Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan, Taiwan (to W.-J.W.); by the Swiss National Science Foundation project Grant 315230B-131083 (to L.C. and N.H.); and by the Picker Interdisciplinary Science Institute, Colgate University (K.K.I.).
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Information & Authors
Information
Published in
Classifications
Data Availability
Data deposition: The sequences reported in this paper have been deposited at the National Center for Biotechnology Information under Genome Project ID 49629.
Submission history
Published online: January 31, 2011
Published in issue: April 5, 2011
Keywords
Acknowledgments
We thank Christophe Lucas and members of the Marc Robinson-Rechavi laboratory for advice and discussion; Catherine Berney and Christine La Mendola for help in the laboratory; Kenneth G. Ross (Department of Entomology, University of Georgia, Athens, GA), for providing the ants; Jérôme Notari, Laélia Maumary, and Jézaëlle Rufener for help rearing the ants; and Hugh M. Robertson for Pogonomyrmex olfactory receptor sequences. We thank Timothy Harkins, Pascal Bouffard, Linda Burton and 454 Life Sciences, a Roche Company (Branford, CT) for sequencer access, construction of 454 sequencing libraries and access to Newbler software, the Interdisciplinary Center for Biotechnology Research at the University of Florida for Roche 454 sequencing, and the Lausanne Genomic Technologies Facility and Fasteris SA for Illumina sequencing. This work was supported by grants from the European Union-funded Network of Excellence Lifespan FP6 036894, the Swiss National Science Foundation, the University of Lausanne, the Rectorate of the University of Lausanne, an ERC Advanced grant and the Herbette Foundation (to L.K.); US Department of Agriculture Agriculture and Food Research Initiative Award 2009-35302-05301 (to D.S. and J.W.); by an Infectigen grant (to L.K., D.S., and Y.W.); the Academy of Finland Grant 122210 (to P.P.); grants from the European Union-funded Network of Excellence Lifespan FP6 036894, the Swiss National Science Foundation, the University of Lausanne, and the Rectorate of the University of Lausanne (to L.K.); by National Science Foundation Grants DEB-0640690 (to M.A.D.G. and S.V.Y.), MCB-0950896 (to S.V.Y. and M.A.D.G.), and DEB-1011349 (to B.G.H., S.V.Y., and M.A.D.G.); by grants from the Danish National Research Foundation (to S.N. and J.J.B.); by Grant 98AS-9.1.2-BQ-B1(1) from the Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan, Taiwan (to W.-J.W.); by the Swiss National Science Foundation project Grant 315230B-131083 (to L.C. and N.H.); and by the Picker Interdisciplinary Science Institute, Colgate University (K.K.I.).
Notes
*This Direct Submission article had a prearranged editor.
See Commentary on page 5477.
Authors
Competing Interests
The authors declare no conflict of interest.
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