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      Quantitative proteomics analysis of permethrin and temephos-resistant Ae. aegypti revealed diverse differentially expressed proteins associated with insecticide resistance from Penang Island, Malaysia

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          Abstract

          Synthetic insecticides are the primary vector control method used globally. However, the widespread use of insecticides is a major cause of insecticide-resistance in mosquitoes. Hence, this study aimed at elucidating permethrin and temephos-resistant protein expression profiles in Ae. aegypti using quantitative proteomics. In this study, we evaluated the susceptibility of Ae. aegypti from Penang Island dengue hotspot and non-hotspot against 0.75% permethrin and 31.25 mg/l temephos using WHO bioassay method. Protein extracts from the mosquitoes were then analysed using LC–ESI–MS/MS for protein identification and quantification via label-free quantitative proteomics (LFQ). Next, Perseus 1.6.14.0 statistical software was used to perform differential protein expression analysis using ANOVA and Student’s t-test. The t-test selected proteins with≥2.0-fold change (FC) and ≥2 unique peptides for gene expression validation via qPCR. Finally, STRING software was used for functional ontology enrichment and protein-protein interactions (PPI). The WHO bioassay showed resistance with 28% and 53% mortalities in adult mosquitoes exposed to permethrin from the hotspot and non-hotspot areas. Meanwhile, the susceptibility of Ae. aegypti larvae revealed high resistance to temephos in hotspot and non-hotspot regions with 80% and 91% mortalities. The LFQ analyses revealed 501 and 557 (q-value <0.05) differentially expressed proteins in adults and larvae Ae. aegypti. The t-test showed 114 upregulated and 74 downregulated proteins in adult resistant versus laboratory strains exposed to permethrin. Meanwhile, 13 upregulated and 105 downregulated proteins were observed in larvae resistant versus laboratory strains exposed to temephos. The t-test revealed the upregulation of sodium/potassium-dependent ATPase β2 in adult permethrin resistant strain, H15 domain-containing protein, 60S ribosomal protein, and PB protein in larvae temephos resistant strain. The downregulation of troponin I, enolase phosphatase E1, glucosidase 2β was observed in adult permethrin resistant strain and tubulin β chain in larvae temephos resistant strain. Furthermore, the gene expression by qPCR revealed similar gene expression patterns in the above eight differentially expressed proteins. The PPI of differentially expressed proteins showed a p-value at <1.0 x 10 −16 in permethrin and temephos resistant Ae. aegypti. Significantly enriched pathways in differentially expressed proteins revealed metabolic pathways, oxidative phosphorylation, carbon metabolism, biosynthesis of amino acids, glycolysis, and citrate cycle. In conclusion, this study has shown differentially expressed proteins and highlighted upregulated and downregulated proteins associated with insecticide resistance in Ae. aegypti. The validated differentially expressed proteins merit further investigation as a potential protein marker to monitor and predict insecticide resistance in field Ae. aegypti. The LC-MS/MS data were submitted into the MASSIVE database with identifier no: MSV000089259.

          Author summary

          The study aimed to understand the protein expression profiles in Ae. aegypti mosquitoes resistant to permethrin and temephos insecticides using quantitative proteomics. The results revealed permethrin and temephos resistance in Ae. aegypti dengue hotspot and non-hotspot areas in Penang Island, Malaysia. The LC-MS/MS LFQ identified 501 and 577 differentially expressed proteins in adult and larvae Ae. aegypti. Furthermore, significantly enriched pathways of the differentially expressed proteins were involved in metabolic pathways, oxidative phosphorylation, carbon metabolism, biosynthesis of amino acids, glycolysis, and citrate cycle. A few differentially expressed proteins were validated as potential candidates for insecticide-resistant screening, prediction and monitoring in field strain Ae. aegypti mosquitoes in Malaysia.

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          Most cited references61

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          The Perseus computational platform for comprehensive analysis of (prote)omics data.

          A main bottleneck in proteomics is the downstream biological analysis of highly multivariate quantitative protein abundance data generated using mass-spectrometry-based analysis. We developed the Perseus software platform (http://www.perseus-framework.org) to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics comparisons and multiple-hypothesis testing. A machine learning module supports the classification and validation of patient groups for diagnosis and prognosis, and it also detects predictive protein signatures. Central to Perseus is a user-friendly, interactive workflow environment that provides complete documentation of computational methods used in a publication. All activities in Perseus are realized as plugins, and users can extend the software by programming their own, which can be shared through a plugin store. We anticipate that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.
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            Genomic analysis of detoxification genes in the mosquito Aedes aegypti.

            Annotation of the recently determined genome sequence of the major dengue vector, Aedes aegypti, reveals an abundance of detoxification genes. Here, we report the presence of 235 members of the cytochrome P450, glutathione transferase and carboxy/cholinesterase families in Ae. aegypti. This gene count represents an increase of 58% and 36% compared with the fruitfly, Drosophila melanogaster, and the malaria mosquito, Anopheles gambiae, respectively. The expansion is not uniform within the gene families. Secure orthologs can be found across the insect species for enzymes that have presumed or proven biosynthetic or housekeeping roles. In contrast, subsets of these gene families that are associated with general xenobiotic detoxification, in particular the CYP6, CYP9 and alpha esterase families, have expanded in Ae. aegypti. In order to identify detoxification genes associated with resistance to insecticides we constructed an array containing unique oligonucleotide probes for these genes and compared their expression level in insecticide resistant and susceptible strains. Several candidate genes were identified with the majority belonging to two gene families, the CYP9 P450s and the Epsilon GSTs. This 'Ae. aegypti Detox Chip' will facilitate the implementation of insecticide resistance management strategies for arboviral control programmes.
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              Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics.

              Unbiased data-independent acquisition (DIA) strategies have gained increased popularity in the field of quantitative proteomics. The integration of ion mobility separation (IMS) into DIA workflows provides an additional dimension of separation to liquid chromatography-mass spectrometry (LC-MS), and it increases the achievable analytical depth of DIA approaches. Here we provide a detailed protocol for a label-free quantitative proteomics workflow based on ion mobility-enhanced DIA, which synchronizes precursor ion drift times with collision energies to improve precursor fragmentation efficiency. The protocol comprises a detailed description of all major steps including instrument setup, filter-aided sample preparation, LC-IMS-MS analysis and data processing. Our protocol can handle proteome samples of any complexity, and it enables a highly reproducible and accurate precursor intensity-based label-free quantification of up to 5,600 proteins across multiple runs in complete cellular lysates. Depending on the number of samples to be analyzed, the protocol takes a minimum of 3 d to complete from proteolytic digestion to data evaluation.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: Supervision
                Role: MethodologyRole: Software
                Role: Funding acquisitionRole: MethodologyRole: Resources
                Role: Validation
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                PLOS Neglected Tropical Diseases
                Public Library of Science (San Francisco, CA USA )
                1935-2727
                1935-2735
                18 September 2023
                September 2023
                : 17
                : 9
                : e0011604
                Affiliations
                [1 ] Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
                [2 ] Department of Microbiology, University of Maiduguri, Maiduguri, Nigeria
                [3 ] School of Biological Sciences (SBS), Universiti Sains Malaysia, Gelugor, Malaysia
                [4 ] Vector Control Research Unit (VCRU), Universiti Sains Malaysia, Gelugor, Malaysia
                [5 ] Proteomics and Metabolomics (PROMET) laboratory, Malaysian Palm Oil Board (MPOB), Kajang, Malaysia
                [6 ] Center for Chemical Biology (CCB), Universiti Sains Malaysia, Bayan Lepas, Malaysia
                Kenya Agricultural and Livestock Research Organization, KENYA
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-1105-4509
                Article
                PNTD-D-22-01462
                10.1371/journal.pntd.0011604
                10538732
                37721966
                d325668a-45e0-47d7-bbac-01d607e37889
                © 2023 Shettima et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 November 2022
                : 18 August 2023
                Page count
                Figures: 8, Tables: 9, Pages: 32
                Funding
                Funded by: Higher Institution Centre of Excellence (HICoE) Grant from the Ministry of Higher Education, Malaysia
                Award ID: 311/CIPPM/4401005
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004595, Universiti Sains Malaysia;
                Award ID: 1001.CIPPM.8012228
                Award Recipient :
                This work was supported by the Higher Institution Centre of Excellence (HICoE) Grant from the Ministry of Higher Education, Malaysia (311/CIPPM/4401005) and Universiti Sains Malaysia (USM) through the Research University Individual Grant [R.U.I.] 1001.CIPPM.8012228 to NO. NO was the Principal Investigator of the grant for RUI. The funders had no role in the study design, data collection and analysis, publication decision, or manuscript preparation.
                Categories
                Research Article
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Molecular Biology Assays and Analysis Techniques
                Gene Expression and Vector Techniques
                Protein Expression
                Research and Analysis Methods
                Molecular Biology Techniques
                Molecular Biology Assays and Analysis Techniques
                Gene Expression and Vector Techniques
                Protein Expression
                Biology and Life Sciences
                Developmental Biology
                Life Cycles
                Larvae
                Biology and Life Sciences
                Agriculture
                Agrochemicals
                Insecticides
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Disease Vectors
                Insect Vectors
                Mosquitoes
                Biology and Life Sciences
                Species Interactions
                Disease Vectors
                Insect Vectors
                Mosquitoes
                Biology and Life Sciences
                Zoology
                Entomology
                Insects
                Mosquitoes
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Arthropoda
                Insects
                Mosquitoes
                Biology and Life Sciences
                Zoology
                Animals
                Invertebrates
                Arthropoda
                Insects
                Mosquitoes
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Metabolic Processes
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Protein Metabolism
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Phosphatases
                Adenosine Triphosphatase
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Phosphatases
                Adenosine Triphosphatase
                Medicine and Health Sciences
                Medical Conditions
                Tropical Diseases
                Neglected Tropical Diseases
                Dengue Fever
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Dengue Fever
                Custom metadata
                vor-update-to-uncorrected-proof
                2023-09-28
                The mass spectrometry data can be found in into MASSIVE database with identifier no: MSV000089259.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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