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Li G, Shi L, Zhang L, Xu B. Componential usage patterns in dengue 4 viruses reveal their better evolutionary adaptation to humans. Front Microbiol 2022; 13:935678. [PMID: 36204606 PMCID: PMC9530264 DOI: 10.3389/fmicb.2022.935678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/22/2022] [Indexed: 11/15/2022] Open
Abstract
There have been at least four types of dengue outbreaks in the past few years. The evolutionary characteristics of dengue viruses have aroused great concerns. The evolutionary characteristics of dengue 4 viruses are studied in the present study based on their base usage patterns and codon usage patterns. The effective number of codons and relative synonymous codon usage (RSCU) values of four types of dengue viruses were counted or calculated. The Kullback–Leibler (K–L) divergences of relative synonymous codon usage from dengue viruses to humans and the Kullback–Leibler divergences of amino acid usage patterns from dengue viruses to humans were calculated to explore the adaptation levels of dengue viruses. The results suggested that: (1) codon adaptation in dengue 4 viruses occurred through an evolutionary process from 1956 to 2021, (2) overall relative synonymous codon usage values of dengue 4 viruses showed more similarities to humans than those of other subtypes of dengue viruses, and (3) the smaller Kullback–Leibler divergence of amino acid usage and relative synonymous codon usage from dengue viruses to humans indicated that the dengue 4 viruses adapted to human hosts better. All results indicated that both mutation pressure and natural selection pressure contributed to the codon usage pattern of dengue 4 viruses more obvious than to other subtypes of dengue viruses and that the dengue 4 viruses adapted to human hosts better than other types of dengue viruses during their evolutionary process.
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Affiliation(s)
- Gun Li
- Laboratory for Biodiversity Science, Department of Biomedical Engineering, School of Electronic Information Engineering, Xi'an Technological University, Xi'an, China
- *Correspondence: Gun Li
| | - Liang Shi
- Laboratory for Biodiversity Science, Department of Biomedical Engineering, School of Electronic Information Engineering, Xi'an Technological University, Xi'an, China
- Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, China
- Liang Shi
| | - Liang Zhang
- Laboratory for Biodiversity Science, Department of Biomedical Engineering, School of Electronic Information Engineering, Xi'an Technological University, Xi'an, China
| | - Bingyi Xu
- Laboratory for Biodiversity Science, Department of Biomedical Engineering, School of Electronic Information Engineering, Xi'an Technological University, Xi'an, China
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Liu Q, Wang J, Hou J, Wu Y, Zhang H, Xing D, Gao J, Li C, Guo X, Jiang Y, Gong Z, Zhao T. Entomological Investigation and Detection of Dengue Virus Type 1 in Aedes (Stegomyia) albopictus (Skuse) During the 2018–2020 Outbreak in Zhejiang Province, China. Front Cell Infect Microbiol 2022; 12:834766. [PMID: 35846756 PMCID: PMC9283783 DOI: 10.3389/fcimb.2022.834766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 05/31/2022] [Indexed: 11/13/2022] Open
Abstract
Mosquito-borne diseases are still threats to public health in the Zhejiang province of China. Surveillance of mosquitoes and the mosquito-borne pathogen is a vital approach for early warning, prevention, and control of the infectious disease. In this study, from 2018 to 2020, a total of 141607 female mosquitoes were caught by means of the light trap method. The main species were Culex pipiens quinquefasciatus/pallens (41.32%), Culex tritaeniorhynchus (47.6%), Aedes albopictus (2.5%), Anopheles sinensis (5.87%), Armigeres subalbatus (2.64%) and other mosquito species (0.07%). Cx. pipiens s.l. were the dominant species in two urban habitats and rural residential areas while Cx. tritaeniorhynchus was the main dominant species in the rural livestock sheds. In terms of seasonal fluctuation, Cx. pipiens s.l fluctuated at a high level from May to October. The peaks of Cx. tritaeniorhynchus, An. sinensis and Ar. subalbatus were in July. In addition, a total of 693 Ae. albopictus were collected with Biogents Mosquitaire CO2 traps in emergency surveillance of dengue fever (DF) and screened for dengue virus infection. There were three circumstances of collection: The first: the sampling time before mosquito control during the local outbreak of DF in Lucheng of Wenzhou, 2019; The second circumstance: the sampling time after mosquito control during the local outbreak of DF of other cities in 2018-2019; The third circumstance: past DF epidemic areas the sampling time before mosquito control during the local outbreak of DF in Lucheng, Wenzhou, Zhejiang, 2019. The pools formed by mosquitoes collected in these three circumstances were 3 (6.1%), 35 (71.5%), and 11 (22.4%) respectively. Of the 49 pools tested, only one in the first circumstance was positive. The full-length dengue virus sequence of ZJWZ/2019 was obtained by sequencing and uploaded to the NCBI as number OK448162. Full-length nucleotide and amino acid homology analyses showed that ZJWZ2019 and Wenzhou DF serum isolates ZJWZ-62/2019 (MW582816) and ZJWZ-18/2019 (MW582815) had the highest homology. The analysis of full genome and E gene phylogenetic trees showed that ZJWZ2019 belonged to serotype 1, genotype I, lineage II, which was evolutionarily related to OK159963/Cambodia/2019. It implies that ZJWZ2019 originated in Cambodia. This study showed the species composition, seasonal dynamics of mosquitoes in different habitats in Zhejiang province and confirmed the role of Ae. albopictus in the transmission cycle of in outbreak of DF in the Lucheng district of Wenzhou in 2019, suggesting the importance of monitoring of vector Aedes infected dengue virus in the prevention and control of DF.
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Affiliation(s)
- Qinmei Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Key Laboratory of Vector-Borne and Natural Focus Infectious Diseases, Institute of Microbiology and Epidemiology, Beijing, China
- Department of Infectious Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jinna Wang
- Department of Infectious Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Juan Hou
- Department of Infectious Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yuyan Wu
- Department of Infectious Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Hengduan Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Key Laboratory of Vector-Borne and Natural Focus Infectious Diseases, Institute of Microbiology and Epidemiology, Beijing, China
| | - Dan Xing
- State Key Laboratory of Pathogen and Biosecurity, Beijing Key Laboratory of Vector-Borne and Natural Focus Infectious Diseases, Institute of Microbiology and Epidemiology, Beijing, China
| | - Jian Gao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Key Laboratory of Vector-Borne and Natural Focus Infectious Diseases, Institute of Microbiology and Epidemiology, Beijing, China
| | - Chunxiao Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Key Laboratory of Vector-Borne and Natural Focus Infectious Diseases, Institute of Microbiology and Epidemiology, Beijing, China
| | - Xiaoxia Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Key Laboratory of Vector-Borne and Natural Focus Infectious Diseases, Institute of Microbiology and Epidemiology, Beijing, China
| | - Yuting Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Key Laboratory of Vector-Borne and Natural Focus Infectious Diseases, Institute of Microbiology and Epidemiology, Beijing, China
| | - Zhenyu Gong
- Department of Infectious Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- *Correspondence: Zhenyu Gong, ; Tongyan Zhao,
| | - Tongyan Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Key Laboratory of Vector-Borne and Natural Focus Infectious Diseases, Institute of Microbiology and Epidemiology, Beijing, China
- *Correspondence: Zhenyu Gong, ; Tongyan Zhao,
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Ramos RS, Macêdo WJC, Costa JS, da Silva CHTDP, Rosa JMC, da Cruz JN, de Oliveira MS, de Aguiar Andrade EH, E Silva RBL, Souto RNP, Santos CBR. Potential inhibitors of the enzyme acetylcholinesterase and juvenile hormone with insecticidal activity: study of the binding mode via docking and molecular dynamics simulations. J Biomol Struct Dyn 2019; 38:4687-4709. [PMID: 31674282 DOI: 10.1080/07391102.2019.1688192] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Models validation in QSAR, pharmacophore, docking and others can ensure the accuracy and reliability of future predictions in design and selection of molecules with biological activity. In this study, pyriproxyfen was used as a pivot/template to search the database of the Maybridge Database for potential inhibitors of the enzymes acetylcholinesterase and juvenile hormone as well. The initial virtual screening based on the 3D shape resulted in 2000 molecules with Tanimoto index ranging from 0.58 to 0.88. A new reclassification was performed on the overlapping of positive and negative charges, which resulted in 100 molecules with Tanimoto's electrostatic score ranging from 0.627 to 0.87. Using parameters related to absorption, distribution, metabolism and excretion and the pivot molecule, the molecules selected in the previous stage were evaluated regarding these criteria, and 21 were then selected. The pharmacokinetic and toxicological properties were considered and for 12 molecules, the DEREK software not fired any alert of toxicity, which were thus considered satisfactory for prediction of biological activity using the Web server PASS. In the molecular docking with insect acetylcholinesterase, the Maybridge3_002654 molecule had binding affinity of -11.1 kcal/mol, whereas in human acetylcholinesterase, the Maybridge4_001571molecule show in silico affinity of -10.2 kcal/mol, and in the juvenile hormone, the molecule MCULE-8839595892 show in silico affinity value of -11.6 kcal/mol. Subsequent long-trajectory molecular dynamics studies indicated considerable stability of the novel molecules compared to the controls.AbbreviationsQSARquantitative structure-activity relationshipsPASSprediction of activity spectra for substancesCommunicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Ryan S Ramos
- Graduate Program in Biotechnology and Biodiversity-Network BIONORTE, Federal University of Amapá, Macapá, Brazil.,Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá, Brazil.,Laboratory of Molecular Modeling and Simulation System, Federal Rural University of Amazônia, Capanema, Brazil
| | - Williams J C Macêdo
- Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá, Brazil.,Laboratory of Molecular Modeling and Simulation System, Federal Rural University of Amazônia, Capanema, Brazil
| | - Josivan S Costa
- Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá, Brazil.,Laboratory of Molecular Modeling and Simulation System, Federal Rural University of Amazônia, Capanema, Brazil
| | - Carlos H T de P da Silva
- Computational Laboratory of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences of Ribeirão Preto, São Paulo, Brazil
| | - Joaquín M C Rosa
- Department of Pharmaceutical Organic Chemistry, University of Granada, Granada, Spain
| | | | - Mozaniel S de Oliveira
- Program of Post-Graduation in Food Science and Technology, Federal University of Pará, Belém, Brazil
| | - Eloisa H de Aguiar Andrade
- Adolpho Ducke Laboratory, Emílio Goeldi Paraense Museum, Belém, Brazil.,Program of Post-Graduation in Biodiversity and Biotechnology (BIONORTE), Federal University of Pará, Belém, Brazil
| | - Raullyan B L E Silva
- Center of Biodiversity, Institute for Scientific and Technological Research of Amapá (IEPA), Brazil
| | | | - Cleydson B R Santos
- Graduate Program in Biotechnology and Biodiversity-Network BIONORTE, Federal University of Amapá, Macapá, Brazil.,Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá, Brazil
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Higuera A, Ramírez JD. Molecular epidemiology of dengue, yellow fever, Zika and Chikungunya arboviruses: An update. Acta Trop 2019; 190:99-111. [PMID: 30444971 DOI: 10.1016/j.actatropica.2018.11.010] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 11/10/2018] [Accepted: 11/10/2018] [Indexed: 02/06/2023]
Abstract
Arboviruses are a group of viruses transmitted by arthropods. They are characterized by a wide geographic distribution, which is associated with the presence of the vector, and cause asymptomatic infections or febrile diseases in humans in both enzootic and urban cycles. Recent reports of human infections caused by viruses such as dengue, Zika, and chikungunya have raised concern regarding public health, and have led to the re-evaluation of surveillance mechanisms and measures to control the transmission of these arboviruses. Viruses such as Mayaro and Usutu are not currently responsible for a high number of symptomatic infections in humans, but should remain under epidemiological surveillance to avoid the emergence of new epidemics, as happened with Zika virus, that are associated with new or more severe symptoms. Additionally, significant variation has been observed in these viruses, giving rise to different lineages. Until recently, the emergence of new lineages has primarily been related to geographical distribution and dispersion, allowing us to ascertain the possible origins and direction of expansion of each virus type, and to make predictions regarding regions where active infections in humans are likely to occur. Therefore, this review is focused on untangling the molecular epidemiology of Dengue, Yellow fever, Zika and Chikungunya due to their recent epidemics in Latinamerica but provides an update on the geographical distribution globally of these viral variants, and outlines the need for further understanding of the genotypes/lineages assignment.
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Mo L, Shi J, Guo X, Zeng Z, Hu N, Sun J, Wu M, Zhou H, Hu Y. Molecular characterization of an imported dengue virus serotype 4 isolate from Thailand. Arch Virol 2018; 163:2903-2906. [PMID: 29948381 DOI: 10.1007/s00705-018-3906-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 05/23/2018] [Indexed: 11/28/2022]
Abstract
The epidemic of dengue virus infections has spread markedly in Yunnan province of China in recent years due to an increase in the number of imported dengue cases. To the best of our knowledge, the present study is the first to report a whole genome sequence and molecular characterization of an imported DENV-4 isolate from Thailand. The current strain, 2013JH285, has an RNA genome of 10,772 nucleotides that shares 99.0% nucleotide and 99.7% amino acid sequence identity with the 2013 Thailand strain CTI2-13. Phylogenetic analysis of the whole genome sequence revealed that the 2013JH285 strain belongs to genotype I of DENV-4. Recombination analysis suggested that the 2013JH285 strain originated from inter-genotypic recombination of DENV-4 strains. The new complete DENV-4 genome sequence reported here might contribute to further understanding of the molecular epidemiology and disease surveillance of DENV-4 in China.
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Affiliation(s)
- Ling Mo
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
| | - Jiandong Shi
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Xiaofang Guo
- Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Zhaoping Zeng
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China
| | - Ningzhu Hu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Jing Sun
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Meini Wu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China.,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China.,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China
| | - Hongning Zhou
- Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China.
| | - Yunzhang Hu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, 650118, China. .,Yunnan Key Laboratory of Vaccine Research and Development of Severe Infectious Disease, Kunming, 650118, China. .,Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Provincial Center of Arborvirus Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China.
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