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2022.07.01.12
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Identification of novel-vector control target proteins of Aedes sp.: A Systems Network Biology Approach

Tammanna R. Sahrawat 1,*, Devika Talwar 2 and Ritika Patial 2
        1. Centre for Systems Biology and Bioinformatics, UIEAST, Panjab University, Chandigarh, India. https://orcid.org/0000-0002-9967-9599
2. Centre for Systems Biology and Bioinformatics, UIEAST, Panjab University, Chandigarh, India.
3. Centre for Systems Biology and Bioinformatics, UIEAST, Panjab University, Chandigarh, India.
*Correspondence: tammanna@pu.ac.in
Available from: http://dx.doi.org/10.21931/RB/2022.07.01.12


ABSTRACT

 
Aedes is an important vector for various viruses that cause dengue, chikungunya and zika, which affect human health globally. Due to regular outbreaks of these diseases worldwide, there is a need to identify essential vector proteins that are critical for the survival of the vector, which may be targeted to control the spread of vector-borne disease (VBD). In silico computational methods involving comparative proteomics, analysis of orthologous proteins common amongst members of Aedes genus and protein-protein interaction (PPI) pathway were used to identify essential proteins that could act as novel therapeutic candidates. Twenty-three conserved proteins between A. aegypti and A. albopictus were identified from a BLASTP search with an e-value threshold of 0.005, and their PPI networks were constructed in the STRING database. The merged network was analyzed using various Cytoscape plugins viz. ClusterONE, Cytohubba and MCODE. Thirty-one hub proteins were identified from the system's network biology analysis, and detailed data and literature mining were carried out. Twelve novel vector-control target proteins of A. aegypti, having no human homologs, were determined in the present study that can effectively act as potential therapeutic candidates for drug design and vaccine development.
 
Keywords. Vector-borne disease (VBD), Therapeutic candidates, Network Systems Biology, Protein-protein interactions (PPI), Computational biology.
 
 
 
 

INTRODUCTION

 
Vector-borne diseases (VBD) are significant contributors to the global disease burden and account for more than 17% of all infectious diseases, causing more than 700000 deaths annually1. An important taxon of arthropods that affects human health globally by acting as a vector of arthropod-borne viruses are mosquitoes belonging to the Aedes genus. It's been over five decades that Aedes-borne diseases, such as dengue, Zika, chikungunya, and yellow fever, have emerged and re-emerged globally2,3. The global population at risk is expanding in concert with changes in the distribution of two key vectors: Aedes aegypti and Aedes albopictus. Their desiccation-resistant eggs facilitate the invasion of Aedes into new areas, and the distribution of these species is largely driven by both human movement and the presence of a suitable climate4.  
 
Dengue virus has been reported to cause about 390 million human infections per year; the chikungunya virus spread worldwide in the early 2000s, with recent reports of the spread of Zika virus, while yellow fever has resurged in Africa and America. In most cases, vector control is the only means to cope with various foreign diseases.
 
The feeding preference of Aedes is only mammalian species, including birds, mammals and humans, which increases during the multiplication phase of their life cycle. The transmission of viruses from the mosquitoes to the organisms sharing the same niche is due to the bite of the infected vector, which releases the virus into the body of the recipient organism. Aedes aegypti was earlier found in forested territories, utilizing tree openings as natural surroundings as their habitat5. Now, they have transformed and evolved along with the increasing urbanization and have found their habitat in leftover jars, tires, broken water-filled buckets and even in the tanks or ponds having stagnant water. They usually prefer areas where they can easily find their host and feed on them eventually6.
 
Another member of the Aedes genus is now listed as one of the top 100 invasive species by the Invasive Species Specialist Group7 on account of being a suitable vector for causing human diseases chikungunya virus, dengue virus, and dirofilariasis is A. albopictus. Experimental evidence has shown that its preferred host is humans, but being an opportunistic feeder, it can depend upon other hosts such as domestic and wild animals, birds, reptiles, and amphibians for its food cycle8,9.
 
Vector-borne diseases (VBD) are a worldwide concern and a significant cause of human morbidity and mortality, causing immeasurable suffering and impeding economic development. To protect humans from these destructive diseases, controlling insect vectors is often the most suitable and sometimes the only option available. Many control strategies have been designed and followed since centuries ago, but despite such efforts and programs, mosquito-borne diseases are prospering throughout the world10.
 
The amalgamation of "omics" data with computational biology tools in network systems biology offers the advantage of speedy identification of critical vector proteins necessary for the survival of the vectors, which may play an essential role in controlling vector populations. In silico methods such as comparative and subtractive genomics can be effectively be used to identify proteins/genes of vectors that are non-homologous to their human hosts. These proteins/genes may then be targeted using drugs and vaccines by inhibiting critical vector pathways and preventing host-seeking and feeding behaviors.  
 
The present study was undertaken to identify critical vector-control target proteins for the Aedes genus using a network systems biology approach. Such an approach offers the opportunity to ascertain potential targets for drug development and vaccine design that would facilitate the production of novel therapeutics specific against the disease-carrying vectors.
 
 

MATERIALS AND METHODS

 
Proteome data mining
 
The UniProt KB database (https://www.uniprot.org)11 was used to extract proteins present in vector Aedes aegypti and for functional annotation of the essential proteins along with eggNOG (http://eggnog5.embl.de)12.
 
 
BLAST (https://blast.ncbi.nlm.nih.gov)
 
Basic alignment search tool13 was used to identify non-human homologs proteins of Aedes aegypti. This was followed by the identification of conserved essential proteins amongst two central disease-causing species of the Aedes genus, namely Aedes aegypti and Aedes albopictus.
 
 
Vector specific pathway analysis using KEGG (https://www.genome.jp/kegg/)
 
Complete form (KEGG)14 was used to ascertain the metabolic pathways of non-homologous essential proteins that were identified in the previous step.
 
 
Sub-cellular location prediction
 
To predict the subcellular location of the essential proteins, a consensus was drawn from the results obtained from UniProt11, Cello15, I-loc animal16, SherLoc217 and Wolf PSORT18.
 
 
Host-vector protein-protein interactions
 
 
STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) (https://string-db.org/) (version 11.0) database was used to build protein-protein interaction networks of essential proteins of Aedes aegypti and their interacting partners. The networks obtained were analyzed using Cytoscape (version 3.8.0) and its various plugins such as ClusterONE, CytoHubba, MCODE19.
 
ClusterONE (http://apps.cytoscape.org/apps/clusterone). ClusterONE (Clustering with Overlapping Neighborhood Expansion) was used to identify highly connected regions in the form of clusters that were based on weighted graphs with associated confidence values20.
 
CytoHubba (http://apps.cytoscape.org/apps/cytohubba). CytoHubba with the scoring method of maximal clique centrality (MCC) was used to rank hub genes21.
 
MCODE (http://apps.cytoscape.org/apps/mcode). MCODE (Molecular Complex Detection) was used to find highly connected regions called clusters based solely on connectivity data22.
 
 

RESULTS AND DISCUSSION

 
Proteome data mining for identification of non-human homologs
 
UniProt KB was used to retrieve proteins present in Aedes aegypti. To increase reliability and reduce redundancy in data mining, only the reviewed 253 protein data entries were selected. All the 253 protein sequences of A. aegypti were subjected to a BLASTP search against the host proteome of Homo sapiens with an e-value threshold of 0.00523. A total of 24 proteins of A. aegypti that showed "no significant similarity" to humans were shortlisted as non-human homologs (Table 1). After that, these proteins were analyzed using computational biology approaches to identify essential proteins of Aedes genus that may act as potential drug and vaccine targets.
 
 
Identification of essential proteins in Aedes aegypti
 
The presence of orthologous proteins between two or more species indicates their essentiality for the survival of the genus. Orthologous proteins are known to retain equivalent functions in different organisms24. Due to the absence of any information about the essential proteins/genes of A. aegypti in DEG (Database of Essential Genes), various bioinformatics tools were used to identify the orthologues. Twenty-four proteins of  A. aegypti (Table 1) were subjected to a manual BLASTP search with e-value threshold of 0.005, to identify conserved proteins against proteome of another Aedes genus member i.e A. albopictus. Unique orthologues proteins were selected manually using a cut-off≥50% identity between A. aegypti and A. albopictus. Twenty-three proteins (except TKSIA_AEDAE) were identified as conserved essential proteins common between the Aedes species. These conserved proteins may be critical for the survival and pathogenicity of members of Aedes genus (Table 1).
 
 
 


Table 1. Essential proteins common in both Aedes aegypti and Aedes albopictus
 
 
 

Vector specific pathway analysis and sub-localization prediction
 
The 23 proteins identified as conserved essential proteins were then categorized as "pathway dependent" or "pathway independent" using UniProt KB GO and KEGG pathway database, and their subcellular location was determined by drawing consensus amongst results obtained from UniProt, Cello, I-loc animal, SherLoc2 and Wolf PSORT. Out of the 23 proteins, 20 were found to be pathway independent, and 3 proteins, namely DEFA_AEDAE, DEFB_AEDAE and DEFC_AEDAE were found pathway dependent, involved in innate immunity25. All these 23 proteins of A. aegypti that were absent in human hosts were further explored using a network systems biology approach to identify critical vector target proteins that can act as drug and vaccine targets to curb the spread of VBDs.
 
 

Host-vector protein-protein interactions
 
 

Construction of gene interaction network
 
The interaction network for the 23 essential proteins of Aedes aegypti was constructed using the STRING database. On analysis, it was observed that HPEP_AEDAE and BURS_AEDAE were absent, while DEFA_AEDAE and DEFB_AEDAE were represented as the same protein in STRING results for Aedes sp. Therefore the resulting PPI network had 20 proteins that showed no significant interactions amongst themselves since these proteins were involved in different pathways of survival and pathogenesis of the vector (Figure 1). Three PPIs were observed, i.e., ALL2_AEDAE (D7) and ALL3_AEDAE (AAEL010235) that are salivary gland allergens and reported to be involved in blood-feeding of the human host(26,27); CORZ_AEDAE (crz) and NPF_AEDAE with SNPF_AEDAE, in which all are neuropeptides with CORZ being involved in heart contraction28; V15A1_AEDAE (15a-1), V15A2_AEDAE (15a-2) and V15A3_AEDAE (15a-3) are proteins involved in oogenesis and therefore may act as an essential control point in the reproduction of Aedes mosquito29,30.
 
 
 


Figure 1. Intra-species interactions amongst Aedes proteins constructed in the STRING database
 
 

To better understand the interactions of the essential proteins with other proteins of A. aegypti, interaction networks of each of the 20 proteins were built individually in STRING and were imported and merged into a single network using Cytoscape software. The resulting merged network contained 96 edges (representing genes/proteins) and 243 nodes (representing interactions between genes/proteins) (Figure 2). This network was further analyzed using various plugins of Cytoscape to identify essential proteins of A. aegypti.


Figure 2. Merged PPI network having 96 nodes, 243 edges in Cytoscape
 
 

On analysis of the merged network with Cytoscape plugin ClusterONE, color-coded nodes were obtained in which red and grey nodes represent highly significant genes and outliers, respectively (Figure 3). Eleven clusters were obtained that had a significant P-value (<0.05) (Table 2), but only three top-ranked clusters having the most significant number of nodes and edges were further studied.
 
 
 


Figure 3. ClusterONE results were obtained by analyzing the interaction network
 
 

Another Cytoscape plugin MCODE was used to find clusters or highly connected regions in the protein-protein interaction network in which node colors represent the node score and range from black to red (lowest to highest, respectively), while white indicates a score of zero (Figure 4). Eleven clusters were also obtained from MCODE, out of which the first three clusters were considered as significant based on the higher number of nodes and edges (Table 3).
 
 


Table 2. Eleven clusters having significant P-value (<0.05) obtained from ClusterONE
 
 


Figure 4. MCODE results obtained by analyzing the PPI network
 
 


Table 3. Eleven clusters were obtained from the interaction network
 
 

To further validate the results of genes identified as essential using Cytoscape plugins- ClusterONE and MCODE another plugin CytoHubba was used to analyse the merged PPI network (Figure 2) to identify the "Hubs" which represent the highly connected nodes. A hub is more likely to be essential because it has more interactions and, therefore, a higher likelihood to engage in an essential interaction31. The network obtained showed genes/proteins color-coded with highly significant genes in red (31 genes), orange and least significant in yellow (Figure 5).
 
 
 


Figure 5. Graphical view of ranked hub nodes obtained from Cytoscape plugin Cytohubba with color-coding highly essential (Red) - less essential (Yellow)
 
 

The proteins present in the three top-ranked clusters obtained from ClusterONE and MCODE were identical, as were the 31 top-ranked genes obtained from CytoHubba, thereby validating our results obtained from different Cytoscape plugins that use different methods to identify hub proteins that can further be explored to act as putative target proteins for vector control (Table 4).
 


 
Table 4. Top interacting Genes retrieved from Cytoscape plugins
 
 
 
 

Data mining of shortlisted proteins
 
UniProtKB was used to retrieve information, such as target name, associated metabolic pathway, length, molecular weight, subcellular location etc., of the identified 31 essential genes of Aedes genus that code for non-homologous human proteins. Thereafter, a rigorous manual search in PDB was done to identify any structural homologs amongst the proteins of Aedes genus with its human host as unintended binding of the drug/vaccine, designed for Aedes to the structurally similar proteins of the human host could have devastating effects in the hosts, since structurally similar and related proteins may have similar binding sites with capabilities to recognize chemically similar ligands32.
 
Out of 31 proteins of Aedes only 9 proteins did not have any structural homology with humans in PDB. These 09 proteins shortlisted three other proteins, namely BRUS_AEDAE, HPEP_AEDAE (that had no entries in STRING database), and ALL3_AEDAE (salivary gland allergen reported to have binary interactions with 2 human proteins, namely COA1 and CO2A3) were analyzed for their biological function in UniProt. Therefore, 12 proteins were shortlisted as novel vector-control target proteins of A. aegypti that had no human homologs and could effectively act as potential drug and vaccine targets (Table 5) to prevent the outbreak of VBDs by controlling the vector population of Aedes.
 


 
Table 5. Non-homologous proteins of A. aegypti with reference to humans as potential drug and vaccine targets from unique pathways.
 
 
 

Literature mining of critical vector-control target proteins of A. aegypti

 
In the present study to identify critical vector-control target proteins for Aedes genus that can be used as potential targets for vaccine and drug development, we identified 12 proteins, out of which 5 proteins are neuropeptides. Two uncharacterized proteins, AAEL013776_AEDAE and AAEL013424_AEDAE, need to be further solved in structure and function to predict their importance in vector metabolic activities and survival.
 
Neuropeptides are one of the most diverse classes of signaling molecules and play a significant role in regulating a wide range of physiological processes in Aedes mosquitoes such as host-seeking behavior, blood-feeding, molting sex-specific processes, including reproduction33. Regulatory peptides act as neurochemicals, and hormones govern these processes in mosquitoes. These peptides are processed, stored, and released within the nervous system as neurotransmitters and from the midgut endocrine system and neurosecretory cells as circulating hormones. They exert their action by binding to membrane receptors, most often to G-protein coupled receptors (GPCRs) and, to a lesser extent, to receptor tyrosine kinases34.
 
Host seeking is a fundamental aspect of mosquito and vertebrate host interactions, and the process is reported to be regulated by head peptide (HPEP_AEDAE), a neuropeptide encoded by gene HP-1 in blood-fed female A. aegypti, and also other sex-specific processes as it was found to be expressed in larvae and males. Ingestion of a blood meal has been reported to trigger egg maturation in A. aegypti, and after that, females show a marked decrease in responses to host emanations that initially stimulated host-seeking behavior35.
 
Short neuropeptide F (sNPF_AEDAE), a member of the neuropeptide F/Y superfamily, was isolated from adult A. aegypti, and NPF-like immunostaining was observed in the brain and midgut of adults and larvae. The reported fluctuations in the concentrations of sNPF reflect changes in the regulatory role of this peptide in digestive processes and the reproductive cycle with a sudden drop once a blood meal was imbibed28.
 
Proteins such as odorant receptors (ORs) play critical roles in olfactory behaviors, including a co-receptor, designated ORCO_AEDAE, expressed in most olfactory sensory neurons in both adults and larvae, and is highly conserved among the order Diptera to which the Aedes genus belongs. It plays a crucial role in forming a ligand-gated ion channel to generate signals to induce behavioral responses, including host-seeking and host selection 36.
 
The arthropod saliva contains proteins delivered into the bite wound that can modulate the host's hemostatic and immune responses to facilitate blood meal intake and pathogen transmission. Aegyptin (ALL3_AEDAE), an abundantly expressed salivary protein of A. aegypti, is a collagen-binding protein that inhibits platelet aggregation and adhesion, thereby playing a significant and nonredundant role in successful feeding29, 37. It has been reported to have interactions with the human collagen alpha-1 (I) and (III) chains i.e., COA1_HUMAN & CO2A3_HUMAN, respectively, thereby helping to transmit the pathogen in the vector saliva to the human host.
 
Gonadotropin-releasing hormone-related peptide Corazonin (CRZ) has been shown to have roles in pigmentation, ecdysis or act as a cardio stimulatory factor while its receptor-CRZR is expressed in the primary sex organs of adult male and female mosquitoes. This indicates a potential physiological role of CORZ­­_AEDAE in regulating reproductive biology in A. aegypti37.
 
The gene encoding vitellogenin (Vg), a significant yolk protein precursor (YPP) in most oviparous animals, is expressed in extra ovarian tissues in a sex-, tissue- and stage-specific manner. Steroid hormones play a critical role in the regulation of Vg genes. In egg-laying vertebrates, estrogen triggers the transcription of the Vg38. Before blood-feeding, ovary maturation remains at a previtellogenic state of arrest, and the production of vitellogenin (VIT1_AEDAE), the major yolk protein precursor, by the fat body is tightly repressed. After a blood meal, multiple regulatory factors act synergistically to trigger vitellogenin protein synthesis in the fat body. The vitellogenin proteins are then released into the hemolymph and taken up by the developing oocytes via receptor-mediated endocytosis. Therefore, stringent control of the expression of the Vg gene in mosquitoes is tied to the availability of a blood meal30.
 
Two other unreviewed proteins shortlisted in the present study, namely Q177I5_AEDAE and Q177I2_AEDAE have reported lipid transporter activity, and on the investigation of their families and domains using InterPro, Pfam and Prosite databases, they were found to be related to vitellogenin, thereby indicating that they might also be involved in the process of oogenesis.
 
Bursicon is a neuropeptide hormone consisting of two subunits, burs α and burs β, members of the cystine-knot protein (CKP) family that usually form dimers (homo- or heterodimers) and are responsible for certain biological functions by binding to specific receptors. Zhang et al. (2017) report that the biological significance of bursicon extends beyond its classical developmental roles in cuticle tanning and wing expansion to mediating prophylactic immunity during molting periods. Bursicon (BURS_AEDAE) homodimers were shown to induce expression of AMP genes via Relish2 in A. aegypti as prophylactic immunity to protect mosquitoes during the vulnerable stages of each molt39.
 
The F1-Fo ATP synthase is a large multi-subunit enzyme that uses the proton gradient generated by the respiratory chain to synthesize ATP. F1-ATP synthase region is composed of five different subunits (α, β, γ, δ, ε) assembled as a complex of three alternating α and β subunits together with a single unit of each of the other three subunits40. It was initially believed that F1-Fo ATP synthase was strictly confined to the mitochondrial inner membrane. But for a wide variety of normal cells, including endothelial cells, adipocytes, keratinocytes, and hepatic cells, active ATP synthase activity on the cell surface has been documented41. Fongsaran et al. (2014) reported that ATPSβ plays a role in Chikungunya virus (CHIKV) infection of mosquito cells41, and there is evidence showing that the same protein is involved in the internalization of white spot syndrome virus (WSSV) to shrimp cells42, and possibly binding of dengue virus to insect cells43, suggests that this is a conserved virus-arthropod interaction. Therefore, by targeting ATP8_AEDAE, the interaction of the pathogens and the mosquito vector can be disrupted and thereby, transmission to the human host may be effectively prevented.
 
Furthermore, targeting proteins involved in various physiological processes such as reproductive (CORZ­­_AEDAE and VIT1_AEDAE), immune (BURS_AEDAE) and metabolic activities (ATP8_AEDAE) can affect the survival of the vectors and thereby contain the spread of VBDs by controlling vector population.  
 
Concomitantly, blood-feeding on humans also propagates disease transmission because the mosquito ingests the pathogen from an infected human and transmits it to new hosts during subsequent blood meals. The concentration of Head peptide and sNPF are higher in mosquitoes before blood feeding i.e., during the host-seeking phase and following blood meal, their concentrations fall44, 45. Therefore, Head peptide (HPEP_AEDAE), sNPF (SNPF_AEDAE), ORCO (ORCO_AEDAE) and ALL3 (ALL3_AEDAE) may also prove useful targets for blocking host-seeking and biting behavior, thereby preventing the transmission of pathogens from vector to the human host and thus constitute an alternative strategy to curb the disease.
 
 

CONCLUSIONS

 
The proteins identified in the present study can develop novel strategies to target critical vector components to successfully block the development of the vector or pathogen/parasite in its vector.
 
 

Funding: The authors would like to acknowledge the funding received under grant no. S&T&RE/Rp/147(19-20) San/10/2019/1703-1710 from Department of Science and Technology and Renewable Energy, U.T, Chandigarh, India under the short term research project scheme along with Panjab University Chandigarh for providing the infrastructure for the research work.  
 
Informed Consent Statement: Not applicable.
 
   
Acknowledgments: The authors would like to acknowledge their parent institute, Panjab University Chandigarh, for providing the infrastructure for the work.  
 
Conflicts of Interest: The authors declare no conflict of interest.

 
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Received: 2 August  / Accepted: 18 November 2021 / Published: date. 15 February 2022
 
Citation: Sahrawat TR, Talwar D and Patial R. Identification of novel-vector control target proteins of Aedes sp.: A Systems Network Biology Approach. Revis Bionatura 2022;7(1). 12. http://dx.doi.org/10.21931/RB/2022.07.01.12
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