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Surendran SN, Truelove N, Sarma DK, Jude PJ, Ramasamy R, Gajapathy K, Peiris LBS, Karunaratne SHPP, Walton C. Karyotypic assignment of Sri Lankan Anopheles culicifacies species B and E does not correlate with cytochrome oxidase subunit I and microsatellite genotypes. Parasit Vectors 2015; 8:327. [PMID: 26071055 PMCID: PMC4473824 DOI: 10.1186/s13071-015-0944-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 06/08/2015] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The identification of species B and E in the Anopheles culicifacies complex in the Indian subcontinent has been based on Y-chromosome karyotype. Since no detectable variations were previously found in DNA markers commonly used for sibling species identification, further molecular characterization using cytochrome oxidase subunit I (COI) and microsatellite markers was carried out on Y-chromosome karyotyped Anopheles culicifacies specie B and E from Unnichchai, Kallady and Ranawarunawa in Sri Lanka. FINDINGS COI sequence analysis (n = 22) revealed the presence of nine unique haplotypes with six in each species. Three haplotypes were shared by both species. The two sibling species had a pairwise FST value of 1.338 (p < 0.05) with the number of migrants (Nm) value <1. The genetic structure analysis resulted in two genetic clusters not 100% associated with karyotypes. While none of the species B were incorrectly assigned two were inconclusive. Five out of 26 specimens karyotyped as species E were incorrectly assigned, while further 9 were inconclusive. CONCLUSIONS The new molecular data support the existence of two genetically different populations of the Culicifacies Complex in Sri Lanka that are not associated with the Y-chromosome karyotype. Detailed analysis with more microsatellite markers and assortative mating experiments are needed to establish the presence of the two genetically distinct populations and relate them to Y-chromosome morphology.
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Affiliation(s)
- Sinnathamby N Surendran
- Department of Zoology, Faculty of Science, University of Jaffna, Jaffna, 40000, Sri Lanka.
- Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
| | - Nathan Truelove
- Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
| | - Devojit K Sarma
- Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
- Regional Medical Research Centre, NE region (ICMR), Dibrugarh, 786001, Assam, India.
| | - Pavilupillai J Jude
- Department of Zoology, Faculty of Science, University of Jaffna, Jaffna, 40000, Sri Lanka.
| | - Ranjan Ramasamy
- Faculty of Science and Technology, Anglia Ruskin University, Cambridge, CB1 1PT, UK.
| | - Kanapathy Gajapathy
- Department of Zoology, Faculty of Science, University of Jaffna, Jaffna, 40000, Sri Lanka.
| | | | | | - Catherine Walton
- Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
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252
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Parker DM, Matthews SA, Yan G, Zhou G, Lee MC, Sirichaisinthop J, Kiattibutr K, Fan Q, Li P, Sattabongkot J, Cui L. Microgeography and molecular epidemiology of malaria at the Thailand-Myanmar border in the malaria pre-elimination phase. Malar J 2015; 14:198. [PMID: 25962514 PMCID: PMC4449518 DOI: 10.1186/s12936-015-0712-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 04/22/2015] [Indexed: 12/03/2022] Open
Abstract
Background Endemic malaria in Thailand continues to only exist along international borders. This pattern is frequently attributed to importation of malaria from surrounding nations. A microgeographical approach was used to investigate malaria cases in a study village along the Thailand–Myanmar border. Methods Three mass blood surveys were conducted during the study period (July and December 2011, and May 2012) and were matched to a cohort-based demographic surveillance system. Blood slides and filter papers were taken from each participant. Slides were cross-verified by an expert microscopist and filter papers were analysed using nested PCR. Cases were then mapped to households and analysed using spatial statistics. A risk factor analysis was done using mixed effects logistic regression. Results In total, 55 Plasmodium vivax and 20 Plasmodium falciparum cases (out of 547 participants) were detected through PCR, compared to six and two (respectively) cases detected by field microscopy. The single largest risk factor for infection was citizenship. Many study participants were ethnic Karen people with no citizenship in either Thailand or Myanmar. This subpopulation had over eight times the odds of malaria infection when compared to Thai citizens. Cases also appeared to cluster near a major drainage system and year–round water source within the study village. Conclusion This research indicates that many cases of malaria remain undiagnosed in the region. The spatial and demographic clustering of cases in a sub-group of the population indicates either transmission within the Thai village or shared exposure to malaria vectors outside of the village. While it is possible that malaria is imported to Thailand from Myanmar, the existence of undetected infections, coupled with an ecological setting that is conducive to malaria transmission, means that indigenous transmission could also occur on the Thai side of the border. Improved, timely, and active case detection is warranted.
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Affiliation(s)
- Daniel M Parker
- Department of Anthropology, The Pennsylvania State University, 409 Carpenter Building, University Park, PA, USA. .,Population Research Institute, The Pennsylvania State University, 601 Oswald Tower, University Park, PA, USA.
| | - Stephen A Matthews
- Department of Anthropology, The Pennsylvania State University, 409 Carpenter Building, University Park, PA, USA. .,Population Research Institute, The Pennsylvania State University, 601 Oswald Tower, University Park, PA, USA. .,Department of Sociology, The Pennsylvania State University, 601 Oswald Tower, University Park, PA, USA.
| | - Guiyun Yan
- Program in Public Health, University of California at Irvine, Irvine, CA, USA.
| | - Guofa Zhou
- Program in Public Health, University of California at Irvine, Irvine, CA, USA.
| | - Ming-Chieh Lee
- Program in Public Health, University of California at Irvine, Irvine, CA, USA.
| | | | - Kirakorn Kiattibutr
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
| | - Qi Fan
- Dalian Institute of Biotechnology, Dalian, Liaoning Province, China.
| | - Peipei Li
- Dalian Institute of Biotechnology, Dalian, Liaoning Province, China.
| | - Jetsumon Sattabongkot
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
| | - Liwang Cui
- Department of Entomology, The Pennsylvania State University, 501 ASI Building, University Park, PA, USA.
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253
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Maia MF, Kliner M, Richardson M, Lengeler C, Moore SJ. Mosquito repellents for malaria prevention. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2015. [DOI: 10.1002/14651858.cd011595] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Marta F Maia
- Swiss Tropical and Public Health Institute, Ifakara Health Institute; P.O. Box 74 Bagamoyo Tanzania
| | - Merav Kliner
- Public Health England; Cheshire and Merseyside Health Protection Team; Lord Nelson Street Liverpool UK L1 1JF
| | - Marty Richardson
- Liverpool School of Tropical Medicine; Department of Clinical Sciences; Pembroke Place Liverpool UK L3 5QA
| | - Christian Lengeler
- Swiss Tropical and Public Health Institute; Public Health and Epidemiology; Basel Switzerland 4002
| | - Sarah J Moore
- Swiss Tropical and Public Health Institute, Ifakara Health Institute; P.O. Box 74 Bagamoyo Tanzania
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254
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Guo C, Yang L, Ou CQ, Li L, Zhuang Y, Yang J, Zhou YX, Qian J, Chen PY, Liu QY. Malaria incidence from 2005-2013 and its associations with meteorological factors in Guangdong, China. Malar J 2015; 14:116. [PMID: 25881185 PMCID: PMC4389306 DOI: 10.1186/s12936-015-0630-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2014] [Accepted: 03/01/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The temporal variation of malaria incidence has been linked to meteorological factors in many studies, but key factors observed and corresponding effect estimates were not consistent. Furthermore, the potential effect modification by individual characteristics is not well documented. This study intends to examine the delayed effects of meteorological factors and the sub-population's susceptibility in Guangdong, China. METHODS The Granger causality Wald test and Spearman correlation analysis were employed to select climatic variables influencing malaria. The distributed lag non-linear model (DLNM) was used to estimate the non-linear and delayed effects of weekly temperature, duration of sunshine, and precipitation on the weekly number of malaria cases after controlling for other confounders. Stratified analyses were conducted to identify the sub-population's susceptibility to meteorological effects by malaria type, gender, and age group. RESULTS An incidence rate of 1.1 cases per 1,000,000 people was detected in Guangdong from 2005-2013. High temperature was associated with an observed increase in malaria incidence, with the effect lasting for four weeks and a maximum relative risk (RR) of 1.57 (95% confidence interval (CI): 1.06-2.33) by comparing 30°C to the median temperature. The effect of sunshine duration peaked at lag five and the maximum RR was 1.36 (95% CI: 1.08-1.72) by comparing 24 hours/week to 0 hours/week. A J-shaped relationship was found between malaria incidence and precipitation with a threshold of 150 mm/week. Over the threshold, precipitation increased malaria incidence after four weeks with the effect lasting for 15 weeks, and the maximum RR of 1.55 (95% CI: 1.18-2.03) occurring at lag eight by comparing 225 mm/week to 0 mm/week. Plasmodium falciparum was more sensitive to temperature and precipitation than Plasmodium vivax. Females had a higher susceptibility to the effects of sunshine and precipitation, and children and the elderly were more sensitive to the change of temperature, sunshine duration, and precipitation. CONCLUSION Temperature, duration of sunshine and precipitation played important roles in malaria incidence with effects delayed and varied across lags. Climatic effects were distinct among sub-groups. This study provided helpful information for predicting malaria incidence and developing the future warning system.
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Affiliation(s)
- Cui Guo
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Lin Yang
- Department of Nursing, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
| | - Chun-Quan Ou
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Li Li
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Yan Zhuang
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Jun Yang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Ying-Xue Zhou
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Jun Qian
- Department of Mathematics and Physics, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
| | - Ping-Yan Chen
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Qi-Yong Liu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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Huang JX, Xia ZG, Zhou SS, Pu XJ, Hu MG, Huang DC, Ren ZP, Zhang SS, Yang MN, Wang DQ, Wang JF. Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China. Parasit Vectors 2015; 8:146. [PMID: 25888910 PMCID: PMC4357060 DOI: 10.1186/s13071-015-0741-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 02/13/2015] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND To reveal the spatio-temporal distribution of malaria vectors in the national malaria surveillance sites from 2005 to 2010 and provide reference for the current National Malaria Elimination Programme (NMEP) in China. METHODS A 6-year longitudinal surveillance on density of malaria vectors was carried out in the 62 national malaria surveillance sites. The spatial and temporal analyses of the four primary vectors distribution were conducted by the methods of kernel k-means and the cluster distribution of the most widely distribution vector of An.sinensis was identified using the empirical mode decomposition (EMD). RESULTS Totally 4 species of Anopheles mosquitoes including An.sinensis, An.lesteri, An.dirus and An.minimus were captured with significant difference of distribution as well as density. An. sinensis was the most widely distributed, accounting for 96.25% of all collections, and its distribution was divided into three different clusters with a significant increase of density observed in the second cluster which located mostly in the central parts of China. CONCLUSION This study first described the spatio-temporal distribution of malaria vectors based on the nationwide surveillance during 2005-2010, which served as a baseline for the ongoing national malaria elimination program.
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Affiliation(s)
- Ji-Xia Huang
- College of Forestry, Beijing Forestry University, Beijing, 100083, China.
- Center of 3S Technology and Mapping, College of Forestry, Beijing Forestry University, Beijing, 100083, China.
- LREIS, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China.
| | - Zhi-Gui Xia
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China.
| | - Shui-Sen Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China.
| | - Xiao-Jun Pu
- Geospatial Information Sciences in the School of Economic, Political and Policy Sciences at The University of Texas in Dallas, Richardson, USA.
| | - Mao-Gui Hu
- LREIS, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Da-Cang Huang
- School of Geographical Science, Northeast Normal University, Changchun, 130024, China.
| | - Zhou-Peng Ren
- LREIS, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Shao-Sen Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China.
| | - Man-Ni Yang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China.
| | - Duo-Quan Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China.
| | - Jin-Feng Wang
- LREIS, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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256
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Vijay S, Rawal R, Kadian K, Raghavendra K, Sharma A. Annotated differentially expressed salivary proteins of susceptible and insecticide-resistant mosquitoes of Anopheles stephensi. PLoS One 2015; 10:e0119666. [PMID: 25742511 PMCID: PMC4351086 DOI: 10.1371/journal.pone.0119666] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2014] [Accepted: 01/15/2015] [Indexed: 01/17/2023] Open
Abstract
Vector control is one of the major global strategies for control of malaria. However, the major obstacle for vector control is the development of multiple resistances to organochlorine, organophosphorus insecticides and pyrethroids that are currently being used in public health for spraying and in bednets. Salivary glands of vectors are the first target organ for human-vector contact during biting and parasite-vector contact prior to parasite development in the mosquito midguts. The salivary glands secrete anti-haemostatic, anti-inflammatory biologically active molecules to facilitate blood feeding from the host and also inadvertently inject malaria parasites into the vertebrate host. The Anopheles stephensi mosquito, an urban vector of malaria to both human and rodent species has been identified as a reference laboratory model to study mosquito—parasite interactions. In this study, we adopted a conventional proteomic approach of 2D-electrophoresis coupled with MALDI-TOF mass spectrometry and bioinformatics to identify putative differentially expressed annotated functional salivary proteins between An. stephensi susceptible and multiresistant strains with same genetic background. Our results show 2D gel profile and MALDI-TOF comparisons that identified 31 differentially expressed putative modulated proteins in deltamethrin/DDT resistant strains of An. stephensi. Among these 15 proteins were found to be upregulated and 16 proteins were downregulated. Our studies interpret that An. stephensi (multiresistant) caused an upregulated expression of proteins and enzymes like cytochrome 450, short chain dehyrdogenase reductase, phosphodiesterase etc that may have an impact in insecticide resistance and xenobiotic detoxification. Our study elucidates a proteomic response of salivary glands differentially regulated proteins in response to insecticide resistance development which include structural, redox and regulatory enzymes of several pathways. These identified proteins may play a role in regulating mosquito biting behavior patterns and may have implications in the development of malaria parasites in resistant mosquitoes during parasite transmission.
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Affiliation(s)
- Sonam Vijay
- Protein Biochemistry and Structural Biology Laboratory, National Institute of Malaria Research (ICMR), Sector-8, Dwarka, New Delhi, India
| | - Ritu Rawal
- Protein Biochemistry and Structural Biology Laboratory, National Institute of Malaria Research (ICMR), Sector-8, Dwarka, New Delhi, India
| | - Kavita Kadian
- Protein Biochemistry and Structural Biology Laboratory, National Institute of Malaria Research (ICMR), Sector-8, Dwarka, New Delhi, India
| | - Kamaraju Raghavendra
- Insecticide Resistance Laboratory, National Institute of Malaria Research (ICMR), Sector-8, Dwarka, New Delhi, India
| | - Arun Sharma
- Protein Biochemistry and Structural Biology Laboratory, National Institute of Malaria Research (ICMR), Sector-8, Dwarka, New Delhi, India
- * E-mail:
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257
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Anopheles species diversity and distribution of the malaria vectors of Thailand. Trends Parasitol 2015; 31:109-19. [DOI: 10.1016/j.pt.2015.01.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Revised: 12/26/2014] [Accepted: 01/12/2015] [Indexed: 11/18/2022]
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258
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Krishnan R, Kumar V, Ananth V, Singh S, Nair AS, Dhar PK. Computational identification of novel microRNAs and their targets in the malarial vector, Anopheles stephensi. SYSTEMS AND SYNTHETIC BIOLOGY 2015; 9:11-7. [PMID: 25972985 DOI: 10.1007/s11693-014-9159-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Revised: 12/10/2014] [Accepted: 12/15/2014] [Indexed: 11/28/2022]
Abstract
MicroRNAs are a ~22 nucleotide small non-coding RNAs found in animals, plants and viruses. They regulate key cellular processes by enhancing, degrading or silencing protein coding targets. Currently most of the data on miRNA is available from Drosophila . Given their important post-transcriptional role in several organisms, there is a need to understand the miRNA mediated processes in normal and abnormal conditions. Here we report four novel microRNAs ast - mir - 2502, ast - mir - 2559, ast - mir - 3868 and ast - mir - 9891 in Anopheles stephensi identified from a set of 3,052 transcriptome sequences, showing average minimum free energy of -31.8 kcal/mol of duplex formation with mRNA indicating their functional relevance. Phylogenetic study shows conservation of sequence signatures within the Class Insecta. Furthermore, 26 potential targets of these four miRNAs have been predicted that play an important role in the mosquito life-cycle. This work leads to novel leads and experimental possibilities for improved understanding of gene regulatory processes in mosquito.
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Affiliation(s)
- Remya Krishnan
- Department of Computational Biology and Bioinformatics, University of Kerala, Trivandrum, Kerala India
| | - Vinod Kumar
- Department of Computational Biology and Bioinformatics, University of Kerala, Trivandrum, Kerala India
| | - Vivek Ananth
- Synthetic Biology Group, Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, U.P. India
| | - Shailja Singh
- Synthetic Biology Group, Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, U.P. India ; Department of Parasitology and Mycology, Institut Pasteur, Paris, France
| | - Achuthsankar S Nair
- Department of Computational Biology and Bioinformatics, University of Kerala, Trivandrum, Kerala India
| | - Pawan K Dhar
- Department of Computational Biology and Bioinformatics, University of Kerala, Trivandrum, Kerala India ; Synthetic Biology Group, Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, U.P. India
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259
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Dai Y, Huang X, Cheng P, Liu L, Wang H, Wang H, Kou J. Development of insecticide resistance in malaria vector Anopheles sinensis populations from Shandong province in China. Malar J 2015; 14:62. [PMID: 25880316 PMCID: PMC4338830 DOI: 10.1186/s12936-015-0592-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 01/29/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Anopheles sinensis is a major vector of malaria and among the dominant species in Shandong province of China. Insecticide resistance is an important threat to vector-borne disease control. However, there are only few reports about insecticide resistance of An. sinensis populations from Shandong province. METHODS From 2003 to 2012, six districts in Shandong province were selected as the study areas. Insecticide susceptibility bioassay were tested on F1 progeny of An. sinensis to 4% DDT, 0.05% deltamethrin, 0.15% cyfluthrin, and 5% malathion, using the standard WHO resistance tube assay. RESULTS The resistance status of An. sinensis showed a significant decrease in the mortality rates in DDT, deltamethrin and cyfluthrin during the past ten years. Whereas obvious increase of mortality to malathion was observed throughout the assay, ranging from 47.37% to 86.62%.
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Affiliation(s)
- Yuhua Dai
- Department of Medical Entomology, Shandong Institute of Parasitic Diseases, 11 Taibai Middle Road, Jining, 272033, Shandong Province, P.R. China.
- Henan Entry-exit Inspection and Quarantine Bureau of P.R.C, 269 Jinshui Road, Zhengzhou, 450003, Henan Province, P.R. China.
| | - Xiaodan Huang
- Department of Medical Entomology, Shandong Institute of Parasitic Diseases, 11 Taibai Middle Road, Jining, 272033, Shandong Province, P.R. China.
| | - Peng Cheng
- Department of Medical Entomology, Shandong Institute of Parasitic Diseases, 11 Taibai Middle Road, Jining, 272033, Shandong Province, P.R. China.
| | - Lijuan Liu
- Department of Medical Entomology, Shandong Institute of Parasitic Diseases, 11 Taibai Middle Road, Jining, 272033, Shandong Province, P.R. China.
| | - Haifang Wang
- Department of Medical Entomology, Shandong Institute of Parasitic Diseases, 11 Taibai Middle Road, Jining, 272033, Shandong Province, P.R. China.
| | - Huaiwei Wang
- Department of Medical Entomology, Shandong Institute of Parasitic Diseases, 11 Taibai Middle Road, Jining, 272033, Shandong Province, P.R. China.
| | - Jingxuan Kou
- Department of Medical Entomology, Shandong Institute of Parasitic Diseases, 11 Taibai Middle Road, Jining, 272033, Shandong Province, P.R. China.
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260
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Brusich M, Grieco J, Penney N, Tisgratog R, Ritthison W, Chareonviriyaphap T, Achee N. Targeting educational campaigns for prevention of malaria and dengue fever: an assessment in Thailand. Parasit Vectors 2015; 8:43. [PMID: 25612545 PMCID: PMC4311424 DOI: 10.1186/s13071-015-0653-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Accepted: 01/11/2015] [Indexed: 12/22/2022] Open
Abstract
Background The current study assessed the knowledge, attitudes, and practices (KAP) of at-risk populations for malaria and/or dengue fever in relation to mosquito exposure and household mosquito control practices. Specific objectives included comparison of individual and household level health practices between a rural and urban setting in Thailand. Findings are intended to guide Thailand Ministry of Health educational campaigns targeting arthropod-borne disease. Methods A mixed method design was employed using a forced choice and open-ended questionnaire to assess KAP of participants seeking point-of-care treatment for malaria and/or dengue fever at government health-care facilities. Following informed consent, household construction characterization (percent eave gap, floor, wall, and roof material) and mosquito collections both indoors (using aspiration) and outside (using traps) were conducted at a subsample of participant homes. All mosquitoes were identified to genus and anopheline and aedine samples processed for potential pathogen infection. Results A total of 64 participants were recruited from both study sites; 62 categorized as malaria symptomology and 2 categorized as dengue across all study healthcare facilities. Significant associations between study site and household construction were indicated. Trends also identified household level practices and both occupation and household construction regarding type of mosquito control products purchased and the abundance of mosquitoes in sampled homes. Conclusion Overall, Ministry of Health information from education campaigns regarding malaria and dengue fever strategies is reaching the intended target populations at the study sites. Participants are aware of the presence of mosquitoes and that they serve as the potential vector for transmitting malaria and dengue fever diseases. However, specific knowledge gaps were also identified in each study site that may influence exposure to infected mosquitoes. Findings from this study are intended to guide future health education campaigns in these study settings to address specific community needs. Electronic supplementary material The online version of this article (doi:10.1186/s13071-015-0653-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Macy Brusich
- Eck Institute for Global Health, University of Notre Dame, 120 Brownson Hall, Notre Dame, IN 46556, USA.
| | - John Grieco
- Eck Institute for Global Health, University of Notre Dame, 120 Brownson Hall, Notre Dame, IN 46556, USA.
| | - Naomi Penney
- Eck Institute for Global Health, University of Notre Dame, 120 Brownson Hall, Notre Dame, IN 46556, USA.
| | - Rungarun Tisgratog
- Department of Entomology, Faculty of Agriculture, Kasetsart University, 50 Ngam Wong Wan Road, Chatuchak, Bangkok, 10900, Thailand.
| | - Wanapa Ritthison
- The Office of Disease Prevention and Control 3 Chonburi, Vachiraprakarn Road, Bansuan, Subdistrict, MuangDstrict, Chonburi, 20000, Thailand.
| | - Theeraphap Chareonviriyaphap
- Department of Entomology, Faculty of Agriculture, Kasetsart University, 50 Ngam Wong Wan Road, Chatuchak, Bangkok, 10900, Thailand.
| | - Nicole Achee
- Eck Institute for Global Health, University of Notre Dame, 120 Brownson Hall, Notre Dame, IN 46556, USA.
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261
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Kemppainen P, Knight CG, Sarma DK, Hlaing T, Prakash A, Maung Maung YN, Somboon P, Mahanta J, Walton C. Linkage disequilibrium network analysis (LDna) gives a global view of chromosomal inversions, local adaptation and geographic structure. Mol Ecol Resour 2015; 15:1031-45. [PMID: 25573196 PMCID: PMC4681347 DOI: 10.1111/1755-0998.12369] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Revised: 12/15/2014] [Accepted: 12/29/2014] [Indexed: 12/21/2022]
Abstract
Recent advances in sequencing allow population-genomic data to be generated for virtually any species. However, approaches to analyse such data lag behind the ability to generate it, particularly in nonmodel species. Linkage disequilibrium (LD, the nonrandom association of alleles from different loci) is a highly sensitive indicator of many evolutionary phenomena including chromosomal inversions, local adaptation and geographical structure. Here, we present linkage disequilibrium network analysis (LDna), which accesses information on LD shared between multiple loci genomewide. In LD networks, vertices represent loci, and connections between vertices represent the LD between them. We analysed such networks in two test cases: a new restriction-site-associated DNA sequence (RAD-seq) data set for Anopheles baimaii, a Southeast Asian malaria vector; and a well-characterized single nucleotide polymorphism (SNP) data set from 21 three-spined stickleback individuals. In each case, we readily identified five distinct LD network clusters (single-outlier clusters, SOCs), each comprising many loci connected by high LD. In A. baimaii, further population-genetic analyses supported the inference that each SOC corresponds to a large inversion, consistent with previous cytological studies. For sticklebacks, we inferred that each SOC was associated with a distinct evolutionary phenomenon: two chromosomal inversions, local adaptation, population-demographic history and geographic structure. LDna is thus a useful exploratory tool, able to give a global overview of LD associated with diverse evolutionary phenomena and identify loci potentially involved. LDna does not require a linkage map or reference genome, so it is applicable to any population-genomic data set, making it especially valuable for nonmodel species.
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Affiliation(s)
- Petri Kemppainen
- Computational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester, UK.,Institute of Vertebrate Biology, Academy of Sciences of the Czech Republic, Brno, Czech Republic
| | - Christopher G Knight
- Computational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester, UK
| | - Devojit K Sarma
- Computational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester, UK.,Regional Medical Research Centre, NE (ICMR), Dibrugarh, 786 001, India
| | - Thaung Hlaing
- Department of Medical Research (Lower Myanmar), Medical Entomology Research Division, 5 Ziwaka Road, Dagon P.O., Yangon, 11191, Myanmar
| | - Anil Prakash
- Regional Medical Research Centre, NE (ICMR), Dibrugarh, 786 001, India
| | - Yan Naung Maung Maung
- Department of Medical Research (Lower Myanmar), Medical Entomology Research Division, 5 Ziwaka Road, Dagon P.O., Yangon, 11191, Myanmar
| | - Pradya Somboon
- Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Jagadish Mahanta
- Regional Medical Research Centre, NE (ICMR), Dibrugarh, 786 001, India
| | - Catherine Walton
- Computational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester, UK
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262
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Beebe NW, Russell T, Burkot TR, Cooper RD. Anopheles punctulatus group: evolution, distribution, and control. ANNUAL REVIEW OF ENTOMOLOGY 2015; 60:335-350. [PMID: 25341094 DOI: 10.1146/annurev-ento-010814-021206] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The major malaria vectors of the Southwest Pacific belong to a group of closely related mosquitoes known as the Anopheles punctulatus group. The group comprises 13 co-occurring species that either are isomorphic or carry overlapping morphological features, and today several species remain informally named. The advent of species-diagnostic molecular tools in the 1990s permitted a new raft of studies into the newly differentiated mosquitoes of this group, and these have revealed five species as the region's primary malaria vectors: An. farauti, An. hinesorum, An. farauti 4, An. koliensis, and An. punctulatus. Species' distributions are now well established across Papua New Guinea, northern Australia, and the Solomon Archipelago, but little has been documented thus far in eastern Indonesia. As each species reveals significant differences in distribution and biology, the relative paucity of knowledge of their biology or ecology in relation to malaria transmission is brought into clearer focus. Only three of the species have undergone some form of spatial or population genetics analyses, and this has revealed striking differences in their genetic signatures throughout the region. This review compiles and dissects the key findings for this important mosquito group and points to where future research should focus to maximize the output of field studies in developing relevant knowledge on these malaria vectors.
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Affiliation(s)
- Nigel W Beebe
- The University of Queensland, St. Lucia, Brisbane, Australia and CSIRO Ecosystem Sciences, Brisbane, Australia;
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263
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Field evaluation of picaridin repellents reveals differences in repellent sensitivity between Southeast Asian vectors of malaria and arboviruses. PLoS Negl Trop Dis 2014; 8:e3326. [PMID: 25522134 PMCID: PMC4270489 DOI: 10.1371/journal.pntd.0003326] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Accepted: 10/07/2014] [Indexed: 02/02/2023] Open
Abstract
Scaling up of insecticide treated nets has contributed to a substantial malaria decline. However, some malaria vectors, and most arbovirus vectors, bite outdoors and in the early evening. Therefore, topically applied insect repellents may provide crucial additional protection against mosquito-borne pathogens. Among topical repellents, DEET is the most commonly used, followed by others such as picaridin. The protective efficacy of two formulated picaridin repellents against mosquito bites, including arbovirus and malaria vectors, was evaluated in a field study in Cambodia. Over a period of two years, human landing collections were performed on repellent treated persons, with rotation to account for the effect of collection place, time and individual collector. Based on a total of 4996 mosquitoes collected on negative control persons, the overall five hour protection rate was 97.4% [95%CI: 97.1-97.8%], not decreasing over time. Picaridin 20% performed equally well as DEET 20% and better than picaridin 10%. Repellents performed better against Mansonia and Culex spp. as compared to aedines and anophelines. A lower performance was observed against Aedes albopictus as compared to Aedes aegypti, and against Anopheles barbirostris as compared to several vector species. Parity rates were higher in vectors collected on repellent treated person as compared to control persons. As such, field evaluation shows that repellents can provide additional personal protection against early and outdoor biting malaria and arbovirus vectors, with excellent protection up to five hours after application. The heterogeneity in repellent sensitivity between mosquito genera and vector species could however impact the efficacy of repellents in public health programs. Considering its excellent performance and potential to protect against early and outdoor biting vectors, as well as its higher acceptability as compared to DEET, picaridin is an appropriate product to evaluate the epidemiological impact of large scale use of topical repellents on arthropod borne diseases.
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264
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Zhu G, Zhou H, Li J, Tang J, Bai L, Wang W, Gu Y, Liu Y, Lu F, Cao Y, Zhang C, Xu S, Cao J, Gao Q. The colonization of pyrethroid resistant strain from wild Anopheles sinensis, the major Asian malaria vector. Parasit Vectors 2014; 7:582. [PMID: 25499700 PMCID: PMC4272531 DOI: 10.1186/s13071-014-0582-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Accepted: 11/30/2014] [Indexed: 01/06/2023] Open
Abstract
Background Anopheles sinensis is one of the most important malaria vectors in Asian countries. The rapid spread of insecticide resistance has become a major obstacle for insecticide-based strategies for vector control. Therefore, it is necessary to prepare an insecticide-resistant strain of An. sinensis to further understand the insecticide resistance mechanisms in this species to facilitate genetic approaches to targeting the insecticide-resistant population of this important malaria vector. Methods An. sinensis mosquitoes were collected from regions where pyrethroid resistance had been reported. The mosquitoes were subjected to continuous pyrethroid selection after species confirmation, and the forced copulation method was used to increase the mating rate. In addition, the knockdown-resistance (kdr) mutation frequencies of each generation of An. sinensis were measured; and the metabolic enzyme activities of cytochrome P450 monoxygenases (P450s) and glutathione S-transferases (GSTs) were detected. Results The identification of field-captured An. sinensis was confirmed by both morphological and molecular methods. The population of An. sinensis exhibited stable resistance to pyrethroid after continuous generations of pyrethroid selection in the laboratory with high kdr mutation frequencies; and elevated levels of both P450s and GSTs were significantly found in field selected populations comparing with the laboratory susceptible strain. So far, the colonised strain has reached its eleventh generation and culturing well in the laboratory. Conclusions We colonised a pyrethroid-resistant population of An. sinensis in the laboratory, which provides a fundamental model for genetic studies of this important malaria vector.
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Affiliation(s)
- Guoding Zhu
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China. .,Department of Parasitology, Medical College of Soochow University, Suzhou, 215123, People's Republic of China.
| | - Huayun Zhou
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Julin Li
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Jianxia Tang
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Liang Bai
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Weiming Wang
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Yaping Gu
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Yaobao Liu
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Feng Lu
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Yuanyuan Cao
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Chao Zhang
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Sui Xu
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Jun Cao
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China. .,Public Health Research Center, Jiangnan University, Wuxi, People's Republic of China.
| | - Qi Gao
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China. .,Department of Parasitology, Medical College of Soochow University, Suzhou, 215123, People's Republic of China.
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265
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Epis S, Porretta D, Mastrantonio V, Urbanelli S, Sassera D, De Marco L, Mereghetti V, Montagna M, Ricci I, Favia G, Bandi C. Temporal dynamics of the ABC transporter response to insecticide treatment: insights from the malaria vector Anopheles stephensi. Sci Rep 2014; 4:7435. [PMID: 25504146 PMCID: PMC4262823 DOI: 10.1038/srep07435] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Accepted: 11/21/2014] [Indexed: 12/05/2022] Open
Abstract
In insects, ABC transporters have been shown to contribute to defence/resistance to insecticides by reducing toxic concentrations in cells/tissues. Despite the extensive studies about this detoxifying mechanism, the temporal patterns of ABC transporter activation have been poorly investigated. Using the malaria vector Anopheles stephensi as a study system, we investigated the expression profile of ABC genes belonging to different subfamilies in permethrin-treated larvae at different time points (30 min to 48 h). Our results showed that the expression of ABCB and ABCG subfamily genes was upregulated at 1 h after treatment, with the highest expression observed at 6 h. Therefore, future investigations on the temporal dynamics of ABC gene expression will allow a better implementation of insecticide treatment regimens, including the use of specific inhibitors of ABC efflux pumps.
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Affiliation(s)
- Sara Epis
- Department of Veterinary Science and Public Health, University of Milan, Milan, Italy
| | - Daniele Porretta
- Department of Environmental Biology, University "La Sapienza" of Rome, Rome, Italy
| | | | - Sandra Urbanelli
- Department of Environmental Biology, University "La Sapienza" of Rome, Rome, Italy
| | - Davide Sassera
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Leone De Marco
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Valeria Mereghetti
- Department of Veterinary Science and Public Health, University of Milan, Milan, Italy
| | - Matteo Montagna
- Department of Agricultural and Environmental Sciences, University of Milan, Milan, Italy
| | - Irene Ricci
- School of Bioscience and Veterinary Medicine, University of Camerino, Camerino, Italy
| | - Guido Favia
- School of Bioscience and Veterinary Medicine, University of Camerino, Camerino, Italy
| | - Claudio Bandi
- Department of Veterinary Science and Public Health, University of Milan, Milan, Italy
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266
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Tainchum K, Ritthison W, Chuaycharoensuk T, Bangs MJ, Manguin S, Chareonviriyaphap T. Diversity of Anopheles species and trophic behavior of putative malaria vectors in two malaria endemic areas of northwestern Thailand. JOURNAL OF VECTOR ECOLOGY : JOURNAL OF THE SOCIETY FOR VECTOR ECOLOGY 2014; 39:424-436. [PMID: 25424272 DOI: 10.1111/jvec.12118] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Accepted: 09/02/2014] [Indexed: 06/04/2023]
Abstract
We determined the species diversity, blood-feeding behavior, and host preference of Anopheles mosquitoes in two malaria endemic areas of Tak (Mae Sot District) and Mae Hong Son (Sop Moei District) Provinces, located along the Thai border with Myanmar, during a consecutive two-year period. Anopheline mosquitoes were collected using indoor and outdoor human-landing captures and outdoor cow-baited collections. Mosquitoes were initially identified using morphological characters, followed by the appropriate multiplex AS-PCR assay for the identification of sibling species within Anopheles (Cellia) complexes and groups present. Real-time PCR was performed for parasite-specific detection in mosquitoes (Plasmodium spp. and Wuchereria bancrofti). A total of 7,129 Anopheles females were captured, 3,939 from Mae Sot and 3,190 from Sop Moei, with 58.6% and 37% of all anophelines identified as An. minimus, respectively. All three malaria vector complexes were detected in both areas. One species within the Minimus Complex (An. minimus) was present along with two related species in the Funestus Group, (An. aconitus, An. varuna), two species within the Dirus Complex (An. dirus, An. baimaii), and four species within the Maculatus Group (An. maculatus, An. sawadwongporni, An. pseudowillmori, and An. dravidicus). The trophic behavior of An. minimus, An. dirus, An. baimaii, An. maculatus, and An. sawadwongporni are described herein. The highest An. minimus densities were detected from February through April of both years. One specimen of An. minimus from Mae Sot was found positive for Plasmodium vivax.
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Affiliation(s)
- Krajana Tainchum
- Department of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand
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267
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Ritthison W, Tainchum K, Manguin S, Bangs MJ, Chareonviriyaphap T. Biting patterns and host preference of Anopheles epiroticus in Chang Island, Trat Province, eastern Thailand. JOURNAL OF VECTOR ECOLOGY : JOURNAL OF THE SOCIETY FOR VECTOR ECOLOGY 2014; 39:361-371. [PMID: 25424266 DOI: 10.1111/jvec.12112] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Accepted: 07/29/2014] [Indexed: 06/04/2023]
Abstract
A study of species diversity of Anopheles mosquitoes, biting patterns, and seasonal abundance of important mosquito vectors was conducted in two villages of Chang Island, Trat Province, in eastern Thailand, one located along the coast and the other in the low hills of the central interior of the island. Of 5,399 captured female anophelines, 70.25% belong to the subgenus Cellia and remaining specimens to the subgenus Anopheles. Five important putative malaria vectors were molecularly identified, including Anopheles epiroticus, Anopheles dirus, Anopheles sawadwongporni, Anopheles maculatus, and Anopheles minimus. Anopheles epiroticus was the most commonly collected species in the coastal site, whereas An. dirus was found to be most abundant in the forest-hill site. From both locations, a greater number of mosquitoes was collected during the dry season compared to the wet. Anopheles epiroticus showed greater exophagic and zoophilic behavior with the highest blood feeding densities occurring between 18:00 and 19:00. In contrast, An. dirus demonstrated an activity peak between midnight and 01:00. We conclude that An. epiroticus and An. dirus, in coastal and inland areas, respectively, appear to be the most epidemiologically important malaria vectors on Chang Island. As no studies of vector competency specific to Chang Island have been conducted, our conclusions that these two species play a primary role in malaria transmission are based on evidence from other localities in Thailand and mainland Southeast Asia. This information serves as a basis for designing improved vector control programs that target specific species, and if integrated with other interventions could result in the elimination of malaria transmission on the island.
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Affiliation(s)
- Wanapa Ritthison
- Department of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand; Center for Advanced Studies for Agriculture and Food, Kasetsart University Institute for Advanced Studies, Kasetsart University, Bangkok 10900, Thailand
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268
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Neafsey DE, Waterhouse RM, Abai MR, Aganezov SS, Alekseyev MA, Allen JE, Amon J, Arcà B, Arensburger P, Artemov G, Assour LA, Basseri H, Berlin A, Birren BW, Blandin SA, Brockman AI, Burkot TR, Burt A, Chan CS, Chauve C, Chiu JC, Christensen M, Costantini C, Davidson VLM, Deligianni E, Dottorini T, Dritsou V, Gabriel SB, Guelbeogo WM, Hall AB, Han MV, Hlaing T, Hughes DST, Jenkins AM, Jiang X, Jungreis I, Kakani EG, Kamali M, Kemppainen P, Kennedy RC, Kirmitzoglou IK, Koekemoer LL, Laban N, Langridge N, Lawniczak MKN, Lirakis M, Lobo NF, Lowy E, MacCallum RM, Mao C, Maslen G, Mbogo C, McCarthy J, Michel K, Mitchell SN, Moore W, Murphy KA, Naumenko AN, Nolan T, Novoa EM, O'Loughlin S, Oringanje C, Oshaghi MA, Pakpour N, Papathanos PA, Peery AN, Povelones M, Prakash A, Price DP, Rajaraman A, Reimer LJ, Rinker DC, Rokas A, Russell TL, Sagnon N, Sharakhova MV, Shea T, Simão FA, Simard F, Slotman MA, Somboon P, Stegniy V, Struchiner CJ, Thomas GWC, Tojo M, Topalis P, Tubio JMC, Unger MF, Vontas J, Walton C, Wilding CS, Willis JH, Wu YC, Yan G, Zdobnov EM, Zhou X, Catteruccia F, Christophides GK, Collins FH, Cornman RS, et alNeafsey DE, Waterhouse RM, Abai MR, Aganezov SS, Alekseyev MA, Allen JE, Amon J, Arcà B, Arensburger P, Artemov G, Assour LA, Basseri H, Berlin A, Birren BW, Blandin SA, Brockman AI, Burkot TR, Burt A, Chan CS, Chauve C, Chiu JC, Christensen M, Costantini C, Davidson VLM, Deligianni E, Dottorini T, Dritsou V, Gabriel SB, Guelbeogo WM, Hall AB, Han MV, Hlaing T, Hughes DST, Jenkins AM, Jiang X, Jungreis I, Kakani EG, Kamali M, Kemppainen P, Kennedy RC, Kirmitzoglou IK, Koekemoer LL, Laban N, Langridge N, Lawniczak MKN, Lirakis M, Lobo NF, Lowy E, MacCallum RM, Mao C, Maslen G, Mbogo C, McCarthy J, Michel K, Mitchell SN, Moore W, Murphy KA, Naumenko AN, Nolan T, Novoa EM, O'Loughlin S, Oringanje C, Oshaghi MA, Pakpour N, Papathanos PA, Peery AN, Povelones M, Prakash A, Price DP, Rajaraman A, Reimer LJ, Rinker DC, Rokas A, Russell TL, Sagnon N, Sharakhova MV, Shea T, Simão FA, Simard F, Slotman MA, Somboon P, Stegniy V, Struchiner CJ, Thomas GWC, Tojo M, Topalis P, Tubio JMC, Unger MF, Vontas J, Walton C, Wilding CS, Willis JH, Wu YC, Yan G, Zdobnov EM, Zhou X, Catteruccia F, Christophides GK, Collins FH, Cornman RS, Crisanti A, Donnelly MJ, Emrich SJ, Fontaine MC, Gelbart W, Hahn MW, Hansen IA, Howell PI, Kafatos FC, Kellis M, Lawson D, Louis C, Luckhart S, Muskavitch MAT, Ribeiro JM, Riehle MA, Sharakhov IV, Tu Z, Zwiebel LJ, Besansky NJ. Mosquito genomics. Highly evolvable malaria vectors: the genomes of 16 Anopheles mosquitoes. Science 2014; 347:1258522. [PMID: 25554792 DOI: 10.1126/science.1258522] [Show More Authors] [Citation(s) in RCA: 395] [Impact Index Per Article: 35.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution. Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila. Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts.
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Affiliation(s)
- Daniel E Neafsey
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA.
| | - Robert M Waterhouse
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Mohammad R Abai
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Sergey S Aganezov
- George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA
| | - Max A Alekseyev
- George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA
| | - James E Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Amon
- National Vector Borne Disease Control Programme, Ministry of Health, Tafea Province, Vanuatu
| | - Bruno Arcà
- Department of Public Health and Infectious Diseases, Division of Parasitology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Peter Arensburger
- Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Gleb Artemov
- Tomsk State University, 36 Lenina Avenue, Tomsk, Russia
| | - Lauren A Assour
- Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Hamidreza Basseri
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Aaron Berlin
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Bruce W Birren
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Stephanie A Blandin
- Inserm, U963, F-67084 Strasbourg, France. CNRS, UPR9022, IBMC, F-67084 Strasbourg, France
| | - Andrew I Brockman
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Thomas R Burkot
- Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia
| | - Austin Burt
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
| | - Clara S Chan
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Cedric Chauve
- Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Joanna C Chiu
- Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA
| | - Mikkel Christensen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carlo Costantini
- Institut de Recherche pour le Développement, Unités Mixtes de Recherche Maladies Infectieuses et Vecteurs Écologie, Génétique, Évolution et Contrôle, 911, Avenue Agropolis, BP 64501 Montpellier, France
| | - Victoria L M Davidson
- Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA
| | - Elena Deligianni
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece
| | - Tania Dottorini
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Vicky Dritsou
- Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Stacey B Gabriel
- Genomics Platform, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Wamdaogo M Guelbeogo
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso
| | - Andrew B Hall
- Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Mira V Han
- School of Life Sciences, University of Nevada, Las Vegas, NV 89154, USA
| | - Thaung Hlaing
- Department of Medical Research, No. 5 Ziwaka Road, Dagon Township, Yangon 11191, Myanmar
| | - Daniel S T Hughes
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Adam M Jenkins
- Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
| | - Xiaofang Jiang
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Irwin Jungreis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Evdoxia G Kakani
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Università degli Studi di Perugia, Perugia, Italy
| | - Maryam Kamali
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Petri Kemppainen
- Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Ryan C Kennedy
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143, USA
| | - Ioannis K Kirmitzoglou
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Bioinformatics Research Laboratory, Department of Biological Sciences, New Campus, University of Cyprus, CY 1678 Nicosia, Cyprus
| | - Lizette L Koekemoer
- Wits Research Institute for Malaria, Faculty of Health Sciences, and Vector Control Reference Unit, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham 2131, Johannesburg, South Africa
| | - Njoroge Laban
- National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya
| | - Nicholas Langridge
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mara K N Lawniczak
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Manolis Lirakis
- Department of Biology, University of Crete, 700 13 Heraklion, Greece
| | - Neil F Lobo
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - Ernesto Lowy
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Robert M MacCallum
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Chunhong Mao
- Virginia Bioinformatics Institute, 1015 Life Science Circle, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Gareth Maslen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Charles Mbogo
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, P.O. Box 230-80108, Kilifi, Kenya
| | - Jenny McCarthy
- Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Kristin Michel
- Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA
| | - Sara N Mitchell
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA
| | - Wendy Moore
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Katherine A Murphy
- Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA
| | - Anastasia N Naumenko
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Tony Nolan
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Eva M Novoa
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Samantha O'Loughlin
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
| | - Chioma Oringanje
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Mohammad A Oshaghi
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazzy Pakpour
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Philippos A Papathanos
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Ashley N Peery
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Michael Povelones
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, 3800 Spruce Street, Philadelphia, PA 19104, USA
| | - Anil Prakash
- Regional Medical Research Centre NE, Indian Council of Medical Research, P.O. Box 105, Dibrugarh-786 001, Assam, India
| | - David P Price
- Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA
| | - Ashok Rajaraman
- Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Lisa J Reimer
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK
| | - David C Rinker
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Antonis Rokas
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Tanya L Russell
- Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia
| | - N'Fale Sagnon
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Terrance Shea
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Felipe A Simão
- Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Frederic Simard
- Institut de Recherche pour le Développement, Unités Mixtes de Recherche Maladies Infectieuses et Vecteurs Écologie, Génétique, Évolution et Contrôle, 911, Avenue Agropolis, BP 64501 Montpellier, France
| | - Michel A Slotman
- Department of Entomology, Texas A&M University, College Station, TX 77807, USA
| | - Pradya Somboon
- Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | | | - Claudio J Struchiner
- Fundação Oswaldo Cruz, Avenida Brasil 4365, RJ Brazil. Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gregg W C Thomas
- School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA
| | - Marta Tojo
- Department of Physiology, School of Medicine, Center for Research in Molecular Medicine and Chronic Diseases, Instituto de Investigaciones Sanitarias, University of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - Pantelis Topalis
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece
| | - José M C Tubio
- Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Maria F Unger
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - John Vontas
- Department of Biology, University of Crete, 700 13 Heraklion, Greece
| | - Catherine Walton
- Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Craig S Wilding
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK
| | - Judith H Willis
- Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Yi-Chieh Wu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Computer Science, Harvey Mudd College, Claremont, CA 91711, USA
| | - Guiyun Yan
- Program in Public Health, College of Health Sciences, University of California, Irvine, Hewitt Hall, Irvine, CA 92697, USA
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Xiaofan Zhou
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Flaminia Catteruccia
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Università degli Studi di Perugia, Perugia, Italy
| | - George K Christophides
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Frank H Collins
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - Robert S Cornman
- Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Andrea Crisanti
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Martin J Donnelly
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Malaria Programme, Wellcome Trust Sanger Institute, Cambridge CB10 1SJ, UK
| | - Scott J Emrich
- Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Michael C Fontaine
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. Centre of Evolutionary and Ecological Studies (Marine Evolution and Conservation group), University of Groningen, Nijenborgh 7, NL-9747 AG Groningen, Netherlands
| | - William Gelbart
- Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, IN 47405, USA. School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA
| | - Immo A Hansen
- Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA
| | - Paul I Howell
- Centers for Disease Control and Prevention, 1600 Clifton Road NE MSG49, Atlanta, GA 30329, USA
| | - Fotis C Kafatos
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Daniel Lawson
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Christos Louis
- Department of Biology, University of Crete, 700 13 Heraklion, Greece. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Shirley Luckhart
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Marc A T Muskavitch
- Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. Biogen Idec, 14 Cambridge Center, Cambridge, MA 02142, USA
| | - José M Ribeiro
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, 12735 Twinbrook Parkway, Rockville, MD 20852, USA
| | - Michael A Riehle
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Zhijian Tu
- Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Laurence J Zwiebel
- Departments of Biological Sciences and Pharmacology, Institutes for Chemical Biology, Genetics and Global Health, Vanderbilt University and Medical Center, Nashville, TN 37235, USA
| | - Nora J Besansky
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA.
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Szyniszewska AM, Tatem AJ. Global assessment of seasonal potential distribution of Mediterranean fruit fly, Ceratitis capitata (Diptera: Tephritidae). PLoS One 2014; 9:e111582. [PMID: 25375649 PMCID: PMC4222914 DOI: 10.1371/journal.pone.0111582] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2013] [Accepted: 10/06/2014] [Indexed: 12/04/2022] Open
Abstract
The Mediterranean fruit fly (Medfly) is one of the world's most economically damaging pests. It displays highly seasonal population dynamics, and the environmental conditions suitable for its abundance are not constant throughout the year in most places. An extensive literature search was performed to obtain the most comprehensive data on the historical and contemporary spatio-temporal occurrence of the pest globally. The database constructed contained 2328 unique geo-located entries on Medfly detection sites from 43 countries and nearly 500 unique localities, as well as information on hosts, life stages and capture method. Of these, 125 localities had information on the month when Medfly was recorded and these data were complemented by additional material found in comprehensive databases available online. Records from 1980 until present were used for medfly environmental niche modeling. Maximum Entropy Algorithm (MaxEnt) and a set of seasonally varying environmental covariates were used to predict the fundamental niche of the Medfly on a global scale. Three seasonal maps were also produced: January-April, May-August and September-December. Models performed significantly better than random achieving high accuracy scores, indicating a good discrimination of suitable versus unsuitable areas for the presence of the species.
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Affiliation(s)
- Anna M. Szyniszewska
- Department of Geography, University of Florida, Gainesville, Florida, United States of America
| | - Andrew J. Tatem
- Department of Geography and Environment, University of Southampton, Highfield, Southampton, United Kingdom
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
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Faulde MK, Rueda LM, Khaireh BA. First record of the Asian malaria vector Anopheles stephensi and its possible role in the resurgence of malaria in Djibouti, Horn of Africa. Acta Trop 2014; 139:39-43. [PMID: 25004439 DOI: 10.1016/j.actatropica.2014.06.016] [Citation(s) in RCA: 117] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 06/20/2014] [Accepted: 06/29/2014] [Indexed: 11/26/2022]
Abstract
Anopheles stephensi is an important vector of urban malaria in India and the Persian Gulf area. Its previously known geographical range includes southern Asia and the Arab Peninsula. For the first time, we report A. stephensi from the African continent, based on collections made in Djibouti, on the Horn of Africa, where this species' occurrence was linked to an unusual urban outbreak of Plasmodium falciparum malaria, with 1228 cases reported from February to May 2013, and a second, more severe epidemic that emerged in November 2013 and resulted in 2017 reported malaria cases between January and February 2014. Anopheles stephensi was initially identified using morphological identification keys, followed by sequencing of the Barcode cytochrome c-oxidase I (COI) gene and the rDNA second internal transcribed spacer (ITS2). Positive tests for P. falciparum circumsporozoite antigen in two of six female A. stephensi trapped in homes of malaria patients in March 2013 are evidence that autochthonous urban malaria transmission by A. stephensi has occurred. Concurrent with the second malaria outbreak, P. falciparum-positive A. stephensi females were detected in Djibouti City starting in November 2013. In sub-Saharan Africa, newly present A. stephensi may pose a significant future health threat because of this species' high susceptibility to P. falciparum infection and its tolerance of urban habitats. This may lead to increased malaria outbreaks in African cities. Rapid interruption of the urban malaria transmission cycle, based on integrated vector surveillance and control programs aimed at the complete eradication of A. stephensi from the African continent, is strongly recommended.
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271
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Silva APB, Santos JMM, Martins AJ. Mutations in the voltage-gated sodium channel gene of anophelines and their association with resistance to pyrethroids - a review. Parasit Vectors 2014; 7:450. [PMID: 25292318 PMCID: PMC4283120 DOI: 10.1186/1756-3305-7-450] [Citation(s) in RCA: 102] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2014] [Accepted: 09/01/2014] [Indexed: 12/14/2022] Open
Abstract
Constant and extensive use of chemical insecticides has created a selection pressure and favored resistance development in many insect species worldwide. One of the most important pyrethroid resistance mechanisms is classified as target site insensitivity, due to conformational changes in the target site that impair a proper binding of the insecticide molecule. The voltage-gated sodium channel (NaV) is the target of pyrethroids and DDT insecticides, used to control insects of medical, agricultural and veterinary importance, such as anophelines. It has been reported that the presence of a few non-silent point mutations in the NaV gene are associated with pyrethroid resistance, termed as 'kdr' (knockdown resistance) for preventing the knockdown effect of these insecticides. The presence of these mutations, as well as their effects, has been thoroughly studied in Anopheles mosquitoes. So far, kdr mutations have already been detected in at least 13 species (Anopheles gambiae, Anopheles arabiensis, Anopheles sinensis, Anopheles stephensi, Anopheles subpictus, Anopheles sacharovi, Anopheles culicifacies, Anopheles sundaicus, Anopheles aconitus, Anopheles vagus, Anopheles paraliae, Anopheles peditaeniatus and Anopheles albimanus) from populations of African, Asian and, more recently, American continents. Seven mutational variants (L1014F, L1014S, L1014C, L1014W, N1013S, N1575Y and V1010L) were described, with the highest prevalence of L1014F, which occurs at the 1014 site in NaV IIS6 domain. The increase of frequency and distribution of kdr mutations clearly shows the importance of this mechanism in the process of pyrethroid resistance. In this sense, several species-specific and highly sensitive methods have been designed in order to genotype individual mosquitoes for kdr in large scale, which may serve as important tolls for monitoring the dynamics of pyrethroid resistance in natural populations. We also briefly discuss investigations concerning the course of Plasmodium infection in kdr individuals. Considering the limitation of insecticides available for employment in public health campaigns and the absence of a vaccine able to brake the life cycle of the malaria parasites, the use of pyrethroids is likely to remain as the main strategy against mosquitoes by either indoor residual spraying (IR) and insecticide treated nets (ITN). Therefore, monitoring insecticide resistance programs is a crucial need in malaria endemic countries.
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Affiliation(s)
- Ana Paula B Silva
- />Laboratório de Malária e Dengue, Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, 2936, Petrópolis, CEP 69067-375 Manaus, Amazonas Brazil
| | - Joselita Maria M Santos
- />Laboratório de Malária e Dengue, Instituto Nacional de Pesquisas da Amazônia, Av. André Araújo, 2936, Petrópolis, CEP 69067-375 Manaus, Amazonas Brazil
| | - Ademir J Martins
- />Laboratório de Fisiologia e Controle de Artrópodes Vetores, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil
- />Instituto Nacional de Ciência e Tecnologia em Entomologia Molecular, Rio de Janeiro, Brazil
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272
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Ecotope-based entomological surveillance and molecular xenomonitoring of multidrug resistant malaria parasites in anopheles vectors. Interdiscip Perspect Infect Dis 2014; 2014:969531. [PMID: 25349605 PMCID: PMC4198816 DOI: 10.1155/2014/969531] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 08/24/2014] [Indexed: 11/29/2022] Open
Abstract
The emergence and spread of multidrug resistant (MDR) malaria caused by Plasmodium falciparum or Plasmodium vivax have become increasingly important in the Greater Mekong Subregion (GMS). MDR malaria is the heritable and hypermutable property of human malarial parasite populations that can decrease in vitro and in vivo susceptibility to proven antimalarial drugs as they exhibit dose-dependent drug resistance and delayed parasite clearance time in treated patients. MDR malaria risk situations reflect consequences of the national policy and strategy as this influences the ongoing national-level or subnational-level implementation of malaria control strategies in endemic GMS countries. Based on our experience along with current literature review, the design of ecotope-based entomological surveillance (EES) and molecular xenomonitoring of MDR falciparum and vivax malaria parasites in Anopheles vectors is proposed to monitor infection pockets in transmission control areas of forest and forest fringe-related malaria, so as to bridge malaria landscape ecology (ecotope and ecotone) and epidemiology. Malaria ecotope and ecotone are confined to a malaria transmission area geographically associated with the infestation of Anopheles vectors and particular environments to which human activities are related. This enables the EES to encompass mosquito collection and identification, salivary gland DNA extraction, Plasmodium- and species-specific identification, molecular marker-based PCR detection methods for putative drug resistance genes, and data management. The EES establishes strong evidence of Anopheles vectors carrying MDR P. vivax in infection pockets epidemiologically linked with other data obtained during which a course of follow-up treatment of the notified P. vivax patients receiving the first-line treatment was conducted. For regional and global perspectives, the EES would augment the epidemiological surveillance and monitoring of MDR falciparum and vivax malaria parasites in hotspots or suspected areas established in most endemic GMS countries implementing the National Malaria Control Programs, in addition to what is guided by the World Health Organization.
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273
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Bai L, Zhu GD, Zhou HY, Tang JX, Li JL, Xu S, Zhang MH, Yao LN, Huang GQ, Wang YB, Zhang HW, Wang SB, Cao J, Gao Q. Development and application of an AllGlo probe-based qPCR assay for detecting knockdown resistance (kdr) mutations in Anopheles sinensis. Malar J 2014; 13:379. [PMID: 25245258 PMCID: PMC4182860 DOI: 10.1186/1475-2875-13-379] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 09/20/2014] [Indexed: 01/12/2023] Open
Abstract
Background Anopheles sinensis is one of the most important malaria vectors in China and other Southeast Asian countries. High levels of resistance have been reported in this species due to the long-term use of insecticides, especially pyrethroids, for public health and agricultural purposes. Knockdown resistance (kdr) caused by a single base pair mutation in the gene encoding the sodium channel is strongly associated with pyrethroid insecticide resistance in many Anopheles mosquitoes. There are few methods currently available for detecting kdr mutations in An. sinensis. Methods A novel AllGlo probe-based qPCR (AllGlo-qPCR) method was developed to screen for the predominant kdr mutations in An. sinensis mosquitoes from the Jiangsu Province. The results from AllGlo-qPCR, allele-specific PCR (AS-PCR), and TaqMan-MGB probe-based qPCR (TaqMan-qPCR) were compared. A comparative analysis of the equipment required, ease of use and cost of the available methods was also performed. Finally, the AllGlo-qPCR method was used to detect the frequencies of kdr mutations from the other four provinces in central China. Results Six kdr genotypes were detected in An. sinensis from the Jiangsu Province by DNA sequencing. The AllGlo-qPCR method detected all of the kdr genotypes with a high level of accuracy (97% sensitivity and 98% specificity). AllGlo-qPCR correctly determined the kdr genotypes of 98.73% of 158 An. sinensis samples, whereas TaqMan-qPCR and AS-PCR correctly identified 96.84% and 88.61% of mutations, respectively. Furthermore, the AllGlo-qPCR method is simpler to perform, requires less equipment, and exhibits a moderate expense cost comparing with the other tested methods of kdr mutation detection. Samples collected from four of the other provinces in central China showed a high frequency of kdr mutation in An. sinensis, as detected by the established AllGlo-qPCR method. Conclusion The novel AllGlo-qPCR method developed for kdr mutation detection in An. sinensis exhibits greater specificity and sensitivity than currently available methods and is more cost-effective; therefore, it represents a useful tool for entomological surveillance.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Jun Cao
- Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), and Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
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Vythilingam I, Lim YA, Venugopalan B, Ngui R, Leong CS, Wong ML, Khaw L, Goh X, Yap N, Sulaiman WYW, Jeffery J, Zawiah AGC, Nor Aszlina I, Sharma RS, Yee Ling L, Mahmud R. Plasmodium knowlesi malaria an emerging public health problem in Hulu Selangor, Selangor, Malaysia (2009-2013): epidemiologic and entomologic analysis. Parasit Vectors 2014; 7:436. [PMID: 25223878 PMCID: PMC4261908 DOI: 10.1186/1756-3305-7-436] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Accepted: 09/08/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND While transmission of the human Plasmodium species has declined, a significant increase in Plasmodium knowlesi/Plasmodium malariae cases was reported in Hulu Selangor, Selangor, Malaysia. Thus, a study was undertaken to determine the epidemiology and the vectors involved in the transmission of knowlesi malaria. METHODS Cases of knowlesi/malariae malaria in the Hulu Selangor district were retrospectively reviewed and analyzed from 2009 to 2013. Mosquitoes were collected from areas where cases occurred in order to determine the vectors. Leucosphyrus group of mosquitoes were genetically characterized targeting the nuclear internal transcribed spacer 2 (ITS2) and mitochondrial cytochrome c oxidase subunit I (CO1). In addition, temporal and spatial analyses were carried out for human cases and vectors. RESULTS Of the 100 microscopy diagnosed P. knowlesi/P. malariae cases over the 5 year period in the Hulu Selangor district, there was predominance of P. knowlesi/P. malariae cases among the young adults (ages 20-39 years; 67 cases; 67%). The majority of the infected people were involved in occupations related to agriculture and forestry (51; 51%). No death was recorded in all these cases.Five hundred and thirty five mosquitoes belonging to 14 species were obtained during the study. Anopheles maculatus was the predominant species (49.5%) followed by Anopheles letifer (13.1%) and Anopheles introlatus (11.6%). Molecular and phylogenetic analysis confirmed the species of the Leucosphyrus group to be An. introlatus. In the present study, only An. introlatus was positive for oocysts. Kernel Density analysis showed that P. knowlesi hotspot areas overlapped with areas where the infected An. introlatus was discovered. This further strengthens the hypothesis that An. introlatusis is the vector for P. knowlesi in the Hulu Selangor district.Unless more information is obtained on the vectors as well as macaque involved in the transmission, it will be difficult to plan effective control strategies. The utilization of modern analytical tools such as GIS (Geographic Information System) is crucial in estimating hotspot areas for targeted control strategies. CONCLUSIONS Anopheles introlatus has been incriminated as vector of P. knowlesi in Hulu Selangor. The cases of P. knowlesi are on the increase and further research using molecular techniques is needed.
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Affiliation(s)
- Indra Vythilingam
- Department of Parasitology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
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275
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Chaitanya RK, Sridevi P, Kumar KS, Mastan BS, Kumar KA, Dutta-Gupta A. Expression analysis of reactive oxygen species detoxifying enzyme genes in Anopheles stephensi during Plasmodium berghei midgut invasion. ASIAN PAC J TROP MED 2014. [DOI: 10.1016/s1995-7645(14)60116-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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276
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Zarowiecki M, Linton YM, Post RJ, Bangs MJ, Htun PT, Hlaing T, Seng CM, Baimai V, Ding TH, Sochantha T, Walton C. Repeated landmass reformation limits diversification in the widespread littoral zone mosquito Anopheles sundaicus sensu lato in the Indo-Oriental Region. Mol Ecol 2014; 23:2573-89. [PMID: 24750501 DOI: 10.1111/mec.12761] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2012] [Revised: 04/14/2014] [Accepted: 04/16/2014] [Indexed: 11/29/2022]
Abstract
Southeast Asia harbours abundant biodiversity, hypothesized to have been generated by Pliocene and Pleistocene climatic and environmental change. Vicariance between the island of Borneo, the remaining Indonesian archipelago and mainland Southeast Asia caused by elevated sea levels during interglacial periods has been proposed to lead to diversification in the littoral zone mosquito Anopheles (Cellia) sundaicus (Rodenwaldt) sensu lato. To test this biogeographical hypothesis, we inferred the population history and assessed gene flow of A. sundaicus s.l. sampled from 18 populations across its pan-Asian species range, using sequences from mitochondrial cytochrome c oxidase subunit 1 (CO1), the internal transcribed spacer 2 (ITS2) and the mannose phosphate isomerase (Mpi) gene. A hypothesis of ecological speciation for A. sundaicus involving divergent adaptation to brackish and freshwater larval habitats was also previously proposed, based on a deficiency of heterozygotes for Mpi allozyme alleles in sympatry. This hypothesis was not supported by Mpi sequence data, which exhibited no fixed differences between brackish and freshwater larval habitats. Mpi and CO1 supported the presence of up to eight genetically distinct population groupings. Counter to the hypothesis of three allopatric species, divergence was often no greater between Borneo, Sumatra/Java and the Southeast Asian mainland than it was between genetic groupings within these landmasses. An isolation-with-migration (IM) model indicates recurrent gene flow between the current major landmasses. Such gene flow would have been possible during glacial periods when the current landmasses merged, presenting opportunities for dispersal along expanding and contracting coastlines. Consequently, Pleistocene climatic variation has proved a homogenizing, rather than diversifying, force for A. sundaicus diversity.
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Affiliation(s)
- Magdalena Zarowiecki
- Parasite Genomics Group, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
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277
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Liang J, Sharakhova MV, Lan Q, Zhu H, Sharakhov IV, Xia A. A standard cytogenetic map for Anopheles sinensis and chromosome arm homology between the subgenera Anopheles and Cellia. MEDICAL AND VETERINARY ENTOMOLOGY 2014; 28 Suppl 1:26-32. [PMID: 25171604 PMCID: PMC4156234 DOI: 10.1111/mve.12048] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Revised: 11/21/2013] [Accepted: 11/26/2013] [Indexed: 06/03/2023]
Abstract
Anopheles sinensis (Diptera: Culicidae) is an important vector of Plasmodium vivax in Southeast Asia. To facilitate population genetic and genomic studies of An. sinensis, we developed a standard cytogenetic photomap for this species. The polytene chromosomes were straightened and divided into 39 numbered divisions and 116 lettered subdivisions. The chromosomal localizations of 13 DNA probes were determined by fluorescent in situ hybridization. A comparison of the physical map for An. sinensis with the genome map for Anopheles gambiae revealed a whole-arm autosomal translocation between the two species. Specifically, the 2R arm of An. gambiae corresponds to the 3R arm of An. sinensis and the pattern of correspondence of the other chromosome arms remains regular. We mapped the breakpoints of the polymorphic paracentric chromosomal inversion 3Ra to subdivisions 28A and 31A. The standard cytogenetic map developed in this study will be useful for detailed comparative genome mapping and population genetic studies of An. sinensis.
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Affiliation(s)
- J Liang
- Department of Entomology, Nanjing Agricultural University, Nanjing, China
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278
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Gajapathy K, Jude PJ, Goodacre SL, Peiris LBS, Ramasamy R, Surendran SN. Molecular characterization of the malaria vector Anopheles barbirostris van der Wulp in Sri Lanka. Parasit Vectors 2014; 7:348. [PMID: 25073899 PMCID: PMC4125690 DOI: 10.1186/1756-3305-7-348] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 07/02/2014] [Indexed: 11/25/2022] Open
Abstract
Background Anopheles barbirostris is a vector of malaria in Sri Lanka. The taxon exists as a species complex in the Southeast Asian region. Previous studies using molecular markers suggest that there are more than 4 distinct clades within the An. barbirostris complex in Southeast Asia. The present study characterizes Sri Lankan An. barbirostris using mtDNA cytochrome oxidase subunit I (COI) and ribosomal RNA internal transcribed spacer 2 (ITS2) gene sequences. Findings DNA was extracted from morphologically identified An. barbirostris specimens from Sri Lanka, the COI and ITS2 regions amplified and their sequences analysed by comparison with other GenBank entries. Maximum likelihood trees suggested that Sri Lankan An. barbirostris constitute a different molecular type most closely related to clade I. Conclusions Considering the uncorrected p distances between the clade I and Sri Lankan specimens it is fair to assume that the specimens collected from widely separated locations in Sri Lanka with morphology characteristic of An. barbirostris s.l. form a new molecular type with close resemblance to An. barbirostris s.s from Indonesia and Thailand.
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Affiliation(s)
- Kanapathy Gajapathy
- Department of Zoology, Faculty of Science, University of Jaffna, Jaffna 40000, Sri Lanka.
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279
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Epis S, Porretta D, Mastrantonio V, Comandatore F, Sassera D, Rossi P, Cafarchia C, Otranto D, Favia G, Genchi C, Bandi C, Urbanelli S. ABC transporters are involved in defense against permethrin insecticide in the malaria vector Anopheles stephensi. Parasit Vectors 2014; 7:349. [PMID: 25073980 PMCID: PMC4124152 DOI: 10.1186/1756-3305-7-349] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Accepted: 07/15/2014] [Indexed: 11/18/2022] Open
Abstract
Background Proteins from the ABC family (ATP-binding cassette) represent the largest known group of efflux pumps, responsible for transporting specific molecules across lipid membranes in both prokaryotic and eukaryotic organisms. In arthropods they have been shown to play a role in insecticide defense/resistance. The presence of ABC transporters and their possible association with insecticide transport have not yet been investigated in the mosquito Anopheles stephensi, the major vector of human malaria in the Middle East and South Asian regions. Here we investigated the presence and role of ABCs in transport of permethrin insecticide in a susceptible strain of this mosquito species. Methods To identify ABC transporter genes we obtained a transcriptome from untreated larvae of An. stephensi and then compared it with the annotated transcriptome of Anopheles gambiae. To analyse the association between ABC transporters and permethrin we conducted bioassays with permethrin alone and in combination with an ABC inhibitor, and then we investigated expression profiles of the identified genes in larvae exposed to permethrin. Results Bioassays showed an increased mortality of mosquitoes when permethrin was used in combination with the ABC-transporter inhibitor. Genes for ABC transporters were detected in the transcriptome, and five were selected (AnstABCB2, AnstABCB3, AnstABCB4, AnstABCmember6 and AnstABCG4). An increased expression in one of them (AnstABCG4) was observed in larvae exposed to the LD50 dose of permethrin. Contrary to what was found in other insect species, no up-regulation was observed in the AnstABCB genes. Conclusions Our results show for the first time the involvement of ABC transporters in larval defense against permethrin in An. stephensi and, more in general, confirm the role of ABC transporters in insecticide defense. The differences observed with previous studies highlight the need of further research as, despite the growing number of studies on ABC transporters in insects, the heterogeneity of the results available at present does not allow us to infer general trends in ABC transporter-insecticide interactions. Electronic supplementary material The online version of this article (doi:10.1186/1756-3305-7-349) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Claudio Bandi
- Department of Veterinary Science and Public Health, University of Milan, Milan, Italy.
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280
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Lu G, Zhou S, Horstick O, Wang X, Liu Y, Müller O. Malaria outbreaks in China (1990-2013): a systematic review. Malar J 2014; 13:269. [PMID: 25012078 PMCID: PMC4105761 DOI: 10.1186/1475-2875-13-269] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Accepted: 07/08/2014] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND China has already achieved remarkable accomplishments in shrinking the malaria burden since the mid-20th Century. The country now plans to eliminate malaria by the year 2020. Looking at the dynamics of malaria outbreaks during the last decades might provide important information regarding the potential challenges of such an elimination strategy and might help to avoid mistakes of the past. METHODS A systematic review of the published literature (English and Chinese) was conducted to identify malaria outbreaks during the period 1990 until 2013 in China. The main causes of outbreaks as described in these papers were categorized according to whether they were related to population migration, environmental factors, vector and host related factors, and operational problems of the health services. RESULTS The review identified 36 malaria outbreaks over the 23-year study period, on which sufficient information was available. They mainly occurred in southern and central China involving 12 provinces/autonomous regions. More than half of all outbreaks (21/36, 58%) were attributed at least in part to population migration, with malaria importation to non- or low-endemic areas from high-endemic Chinese areas (13/15) or endemic countries (2/15) having been the most frequent reason (15/21, 71%). Other main causes were problems of the health services (15/36, 42%), in particular poor malaria case management (10/15, 67%), environmental factors (7/36, 19%), and vector and host related factors (5/36, 14%). CONCLUSIONS Beside a number of other challenges, addressing population movement causing malaria appears to be of particular importance to the national malaria programme. Strengthening of surveillance for malaria and early radical treatment of cases should thus be considered among the most important tools for preventing malaria outbreaks and for the final goal of malaria elimination in China.
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Affiliation(s)
- Guangyu Lu
- Institute of Public Health, Medical School, Ruprecht-Karls-University, INF 324, 69120 Heidelberg, Germany
| | - Shuisen Zhou
- National Institute of Parasitic Diseases, Chinese Centre for Disease Control and Prevention (CDC), Shanghai, China
- Key Laboratory of Parasite and Vector Biology, MOH, Shanghai, China
- WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis, Shanghai, China
| | - Olaf Horstick
- Institute of Public Health, Medical School, Ruprecht-Karls-University, INF 324, 69120 Heidelberg, Germany
| | - Xu Wang
- Institute of Global Health University College, University College London, London, UK
| | - Yali Liu
- Evidence-Based Medicine Centre, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Clinical Translational Research and Evidence-Based Medicine of Gansu Province, Lanzhou, China
| | - Olaf Müller
- Institute of Public Health, Medical School, Ruprecht-Karls-University, INF 324, 69120 Heidelberg, Germany
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281
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Ngo CT, Dubois G, Sinou V, Parzy D, Le HQ, Harbach RE, Manguin S. Diversity of Anopheles mosquitoes in Binh Phuoc and Dak Nong Provinces of Vietnam and their relation to disease. Parasit Vectors 2014; 7:316. [PMID: 25008314 PMCID: PMC4227083 DOI: 10.1186/1756-3305-7-316] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 06/25/2014] [Indexed: 11/17/2022] Open
Abstract
Background Human malaria is still a burden in Dak Nong and Binh Phuoc Provinces in south-central Vietnam that border Cambodia. Several Anopheles species that transmit human malarial Plasmodium may also transmit Wuchereria bancrofti, the nematode that causes Bancroftian lymphatic filariasis. The objective of this study was to investigate the role of Anopheles species in the transmission of these two pathogens in the two highly malaria endemic provinces of Vietnam. Methods Anopheles mosquitoes were collected in Dak Nong and Binh Phuoc Provinces in November and December of 2010 and 2011. Human landing catches, paired collections on human and buffalo, and resting captures were made with mouth aspirators. Collections were also made with light traps. Morphological and PCR-based methods were used to identify the species. Real-time PCR was used to detect Plasmodium species and W. bancrofti in individual mosquitoes. Results Twenty-four Anopheles species were identified among 797 captured mosquitoes. Anopheles dirus was found in both provinces and was the predominant species in Binh Phuoc Province; An. maculatus was the most prevalent species in Dak Nong Province. Anopheles minimus was collected only in Binh Phuoc Province. Some specimens of An. minimus and An. pampanai were misidentified based on morphology. Four specimens of An. scanloni were identified, and this is the first report of this species of the Dirus Complex in Vietnam. Two females, one An. dirus and one An. pampanai, collected in Binh Phuoc Province were infected with P. vivax, for an overall infection rate of 0.41% (2/486): 0.28% for An. dirus (1/361) and 20% for An. pampanai (1/5). No mosquitoes were found to be infected with P. falciparum, P. knowlesi or W. bancrofti in either province. Conclusion A diversity of Anopheles species occurs in Dak Nong and Binh Phuoc Provinces of Vietnam, several of which are considered to be actual and potential vectors of malarial protozoa and microfilariae. It is highly likely that two of the species, An. dirus and An. pampanai, are active in malaria transmission based on the detection of P. vivax in females of these species. This is the first report of An. scanloni in Vietnam.
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Affiliation(s)
| | | | | | | | | | | | - Sylvie Manguin
- Institut de Recherche pour le Développement (IRD), LIPMC, UMR-MD3, Faculté de Pharmacie, F-34093 Montpellier, France.
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282
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Chen B, Zhang YJ, He Z, Li W, Si F, Tang Y, He Q, Qiao L, Yan Z, Fu W, Che Y. De novo transcriptome sequencing and sequence analysis of the malaria vector Anopheles sinensis (Diptera: Culicidae). Parasit Vectors 2014; 7:314. [PMID: 25000941 PMCID: PMC4105132 DOI: 10.1186/1756-3305-7-314] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2014] [Accepted: 06/23/2014] [Indexed: 11/10/2022] Open
Abstract
Background Anopheles sinensis is the major malaria vector in China and Southeast Asia. Vector control is one of the most effective measures to prevent malaria transmission. However, there is little transcriptome information available for the malaria vector. To better understand the biological basis of malaria transmission and to develop novel and effective means of vector control, there is a need to build a transcriptome dataset for functional genomics analysis by large-scale RNA sequencing (RNA-seq). Methods To provide a more comprehensive and complete transcriptome of An. sinensis, eggs, larvae, pupae, male adults and female adults RNA were pooled together for cDNA preparation, sequenced using the Illumina paired-end sequencing technology and assembled into unigenes. These unigenes were then analyzed in their genome mapping, functional annotation, homology, codon usage bias and simple sequence repeats (SSRs). Results Approximately 51.6 million clean reads were obtained, trimmed, and assembled into 38,504 unigenes with an average length of 571 bp, an N50 of 711 bp, and an average GC content 51.26%. Among them, 98.4% of unigenes could be mapped onto the reference genome, and 69% of unigenes could be annotated with known biological functions. Homology analysis identified certain numbers of An. sinensis unigenes that showed homology or being putative 1:1 orthologues with genomes of other Dipteran species. Codon usage bias was analyzed and 1,904 SSRs were detected, which will provide effective molecular markers for the population genetics of this species. Conclusions Our data and analysis provide the most comprehensive transcriptomic resource and characteristics currently available for An. sinensis, and will facilitate genetic, genomic studies, and further vector control of An. sinensis.
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Affiliation(s)
- Bin Chen
- Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Chongqing, P R, China.
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283
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Sum JS, Lee WC, Amir A, Braima KA, Jeffery J, Abdul-Aziz NM, Fong MY, Lau YL. Phylogenetic study of six species of Anopheles mosquitoes in Peninsular Malaysia based on inter-transcribed spacer region 2 (ITS2) of ribosomal DNA. Parasit Vectors 2014; 7:309. [PMID: 24993022 PMCID: PMC4094596 DOI: 10.1186/1756-3305-7-309] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 06/26/2014] [Indexed: 11/20/2022] Open
Abstract
Background Molecular techniques are invaluable for investigation on the biodiversity of Anopheles mosquitoes. This study aimed at investigating the spatial-genetic variations among Anopheles mosquitoes from different areas of Peninsular Malaysia, as well as deciphering evolutionary relationships of the local Anopheles mosquitoes with the mosquitoes from neighbouring countries using the anopheline ITS2 rDNA gene. Methods Mosquitoes were collected, identified, dissected to check infection status, and DNA extraction was performed for PCR with primers targeting the ITS2 rDNA region. Sequencing was done and phylogenetic tree was constructed to study the evolutionary relationship among Anopheles mosquitoes within Peninsular Malaysia, as well as across the Asian region. Results A total of 133 Anopheles mosquitoes consisting of six different species were collected from eight different locations across Peninsular Malaysia. Of these, 65 ITS2 rDNA sequences were obtained. The ITS2 rDNA amplicons of the studied species were of different sizes. One collected species, Anopheles sinensis, shows two distinct pools of population in Peninsular Malaysia, suggesting evolvement of geographic race or allopatric speciation. Conclusion Anopheles mosquitoes from Peninsular Malaysia show close evolutionary relationship with the Asian anophelines. Nevertheless, genetic differences due to geographical segregation can be seen. Meanwhile, some Anopheles mosquitoes in Peninsular Malaysia show vicariance, exemplified by the emergence of distinct cluster of An. sinensis population.
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Affiliation(s)
| | | | | | | | | | | | | | - Yee-Ling Lau
- Tropical Infectious Disease Research and Education Center (TIDREC), Department of Parasitology, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
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284
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Pigott DM, Bhatt S, Golding N, Duda KA, Battle KE, Brady OJ, Messina JP, Balard Y, Bastien P, Pratlong F, Brownstein JS, Freifeld CC, Mekaru SR, Gething PW, George DB, Myers MF, Reithinger R, Hay SI. Global distribution maps of the leishmaniases. eLife 2014; 3:e02851. [PMID: 24972829 PMCID: PMC4103681 DOI: 10.7554/elife.02851] [Citation(s) in RCA: 168] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2014] [Accepted: 06/26/2014] [Indexed: 11/13/2022] Open
Abstract
The leishmaniases are vector-borne diseases that have a broad global distribution throughout much of the Americas, Africa, and Asia. Despite representing a significant public health burden, our understanding of the global distribution of the leishmaniases remains vague, reliant upon expert opinion and limited to poor spatial resolution. A global assessment of the consensus of evidence for leishmaniasis was performed at a sub-national level by aggregating information from a variety of sources. A database of records of cutaneous and visceral leishmaniasis occurrence was compiled from published literature, online reports, strain archives, and GenBank accessions. These, with a suite of biologically relevant environmental covariates, were used in a boosted regression tree modelling framework to generate global environmental risk maps for the leishmaniases. These high-resolution evidence-based maps can help direct future surveillance activities, identify areas to target for disease control and inform future burden estimation efforts.
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Affiliation(s)
- David M Pigott
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | - Samir Bhatt
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | - Nick Golding
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | - Kirsten A Duda
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | - Katherine E Battle
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | - Oliver J Brady
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | - Jane P Messina
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | - Yves Balard
- Laboratoire de
Parasitologie–Mycologie, UFR
Médecine, Université Montpellier 1 and UMR
‘MiVEGEC’, CNRS 5290/IRD 224,
Montpellier,
France
| | - Patrick Bastien
- Laboratoire de
Parasitologie–Mycologie, UFR
Médecine, Université Montpellier 1 and UMR
‘MiVEGEC’, CNRS 5290/IRD 224,
Montpellier,
France
- Departement de
Parasitologie–Mycologie,
CHRU de Montpellier, Centre National de Référence des
Leishmanioses, Montpellier,
France
| | - Francine Pratlong
- Laboratoire de
Parasitologie–Mycologie, UFR
Médecine, Université Montpellier 1 and UMR
‘MiVEGEC’, CNRS 5290/IRD 224,
Montpellier,
France
- Departement de
Parasitologie–Mycologie,
CHRU de Montpellier, Centre National de Référence des
Leishmanioses, Montpellier,
France
| | - John S Brownstein
- Department of Pediatrics,
Harvard Medical School, Boston, United
States
- Children's Hospital Informatics Program,
Boston Children's Hospital,
Boston, United States
| | - Clark C Freifeld
- Children's Hospital Informatics Program,
Boston Children's Hospital,
Boston, United States
- Department of Biomedical Engineering,
Boston University, Boston, United
States
| | - Sumiko R Mekaru
- Children's Hospital Informatics Program,
Boston Children's Hospital,
Boston, United States
| | - Peter W Gething
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | - Dylan B George
- Fogarty International Center,
National Institutes of Health,
Bethesda, United
States
| | - Monica F Myers
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
| | | | - Simon I Hay
- Spatial Ecology and Epidemiology Group, Department of
Zoology, University of
Oxford, Oxford, United
Kingdom
- Fogarty International Center,
National Institutes of Health,
Bethesda, United
States
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285
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Guerra CA, Reiner RC, Perkins TA, Lindsay SW, Midega JT, Brady OJ, Barker CM, Reisen WK, Harrington LC, Takken W, Kitron U, Lloyd AL, Hay SI, Scott TW, Smith DL. A global assembly of adult female mosquito mark-release-recapture data to inform the control of mosquito-borne pathogens. Parasit Vectors 2014; 7:276. [PMID: 24946878 PMCID: PMC4067626 DOI: 10.1186/1756-3305-7-276] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Accepted: 06/11/2014] [Indexed: 11/26/2022] Open
Abstract
Background Pathogen transmission by mosquitos is known to be highly sensitive to mosquito bionomic parameters. Mosquito mark-release-recapture (MMRR) experiments are a standard method for estimating such parameters including dispersal, population size and density, survival, blood feeding frequency and blood meal host preferences. Methods We assembled a comprehensive database describing adult female MMRR experiments. Bibliographic searches were used to build a digital library of MMRR studies and selected data describing the reported outcomes were extracted. Results The resulting database contained 774 unique adult female MMRR experiments involving 58 vector mosquito species from the three main genera of importance to human health: Aedes, Anopheles and Culex. Crude examination of these data revealed patterns associated with geography as well as mosquito genus, consistent with bionomics varying by species-specific life history and ecological context. Recapture success varied considerably and was significantly different amongst genera, with 8, 4 and 1% of adult females recaptured for Aedes, Anopheles and Culex species, respectively. A large proportion of experiments (59%) investigated dispersal and survival and many allowed disaggregation of the release and recapture data. Geographic coverage was limited to just 143 localities around the world. Conclusions This MMRR database is a substantial contribution to the compilation of global data that can be used to better inform basic research and public health interventions, to identify and fill knowledge gaps and to enrich theory and evidence-based ecological and epidemiological studies of mosquito vectors, pathogen transmission and disease prevention. The database revealed limited geographic coverage and a relative scarcity of information for vector species of substantial public health relevance. It represents, however, a wealth of entomological information not previously compiled and of particular interest for mosquito-borne pathogen transmission models.
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Affiliation(s)
- Carlos A Guerra
- Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
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Zhu G, Zhong D, Cao J, Zhou H, Li J, Liu Y, Bai L, Xu S, Wang MH, Zhou G, Chang X, Gao Q, Yan G. Transcriptome profiling of pyrethroid resistant and susceptible mosquitoes in the malaria vector, Anopheles sinensis. BMC Genomics 2014; 15:448. [PMID: 24909924 PMCID: PMC4070547 DOI: 10.1186/1471-2164-15-448] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Accepted: 05/28/2014] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Anopheles sinensis is a major malaria vector in China and other Southeast Asian countries, and it is becoming increasingly resistant to the insecticides used for agriculture, net impregnation, and indoor residual spray. Very limited genomic information on this species is available, which has hindered the development of new tools for resistance surveillance and vector control. We used the 454 GS FLX system and generated expressed sequence tag (EST) databases of various life stages of An. sinensis, and we determined the transcriptional differences between deltamethrin resistant and susceptible mosquitoes. RESULTS The 454 GS FLX transcriptome sequencing yielded a total of 624,559 reads (average length of 290 bp) with the pooled An. sinensis mosquitoes across various development stages. The de novo assembly generated 33,411 contigs with average length of 493 bp. A total of 8,057 ESTs were generated with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation. A total of 2,131 ESTs were differentially expressed between deltamethrin resistant and susceptible mosquitoes collected from the same field site in Jiangsu, China. Among these differentially expressed ESTs, a total of 294 pathways were mapped to the KEGG database, with the predominant ESTs belonging to metabolic pathways. Furthermore, a total of 2,408 microsatellites and 15,496 single nucleotide polymorphisms (SNPs) were identified. CONCLUSIONS The annotated EST and transcriptome databases provide a valuable genomic resource for further genetic studies of this important malaria vector species. The differentially expressed ESTs associated with insecticide resistance identified in this study lay an important foundation for further functional analysis. The identified microsatellite and SNP markers will provide useful tools for future population genetic and comparative genomic analyses of malaria vectors.
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Affiliation(s)
- Guoding Zhu
- />Department of Parasitology, Medical College of Soochow University, Suzhou, 215123 PR China
- />Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province 214064 PR China
- />Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA 92697 USA
| | - Daibin Zhong
- />Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA 92697 USA
| | - Jun Cao
- />Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province 214064 PR China
| | - Huayun Zhou
- />Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province 214064 PR China
| | - Julin Li
- />Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province 214064 PR China
| | - Yaobao Liu
- />Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province 214064 PR China
| | - Liang Bai
- />Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province 214064 PR China
| | - Sui Xu
- />Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province 214064 PR China
| | - Mei-Hui Wang
- />Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA 92697 USA
| | - Guofa Zhou
- />Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA 92697 USA
| | - Xuelian Chang
- />Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA 92697 USA
| | - Qi Gao
- />Department of Parasitology, Medical College of Soochow University, Suzhou, 215123 PR China
- />Jiangsu Institute of Parasitic Diseases, Key Laboratory of Parasitic Disease Control and Prevention (Ministry of Health), Jiangsu Provincial Key Laboratory of Parasite Molecular Biology, Wuxi, Jiangsu Province 214064 PR China
| | - Guiyun Yan
- />Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA 92697 USA
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Hill N, Zhou HN, Wang P, Guo X, Carneiro I, Moore SJ. A household randomized, controlled trial of the efficacy of 0.03% transfluthrin coils alone and in combination with long-lasting insecticidal nets on the incidence of Plasmodium falciparum and Plasmodium vivax malaria in Western Yunnan Province, China. Malar J 2014; 13:208. [PMID: 24885993 PMCID: PMC4057598 DOI: 10.1186/1475-2875-13-208] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Accepted: 05/27/2014] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Mosquito coils are the most commonly used household insecticidal product in the world with sales exceeding 50 billion coils, used by two billion people worldwide annually. Despite strong evidence that coils prevent mosquito bites a systematic review concluded that there is no evidence that burning mosquito coils prevents malaria acquisition. Therefore, the current trial was designed to measure and compare prevention of malaria infection by mosquito coils or long-lasting insecticidal net (LLIN) or a combination of the two in Yunnan, China in the Greater Mekong sub-region. METHODS A four-arm single blind household-randomized design was chosen as coils emanate insecticide throughout the household. Households enrolled at baseline were randomly allocated by the lottery method to one of the four intervention arms: (i) nothing, (ii) 0.03% transfluthrin coils alone, (iii) deltamethrin long-lasting insecticide treated nets, (LLINs) alone or (iv) a combination of transfluthrin coils and deltamethrin LLINs. All household members were recruited to the study, with only those households excluded with pregnant or breastfeeding mothers, members with chest complaints or allergies or members that regularly slept away from home. The main outcome of interest was Plasmodium falciparum malaria prevalence detected by rapid diagnostic tests (RDTs) during six repeated monthly cross-sectional surveys. The secondary outcome of interest was the effect on Plasmodium vivax prevalence detected in the same way. RESULTS A total of 2,052 households were recruited into the study, comprising 7,341 individuals The odds ratios of testing positive by RDT with P. falciparum or P. vivax were >75% lower for all intervention arms compared with the control arm. Coils alone provided 77% protection (95% CI: 50%-89%), LLINs provided 91% protection (95% CI: 72%-97%) and the combination of coils and LLINs provided 94% protection (95% CI: 77%-99%) against P. falciparum compared with the control arm. There was no statistically significant difference between the protective efficacies of the different interventions. CONCLUSIONS This is the first robust clinical evaluation of transfluthrin mosquito coils as a means to reduce malaria and the high degree of infection prevented would indicate they represent a potentially highly effective tool, which could be integrated into larger vector control programmes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT00442442, March 2007.
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Affiliation(s)
- Nigel Hill
- London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK
| | - Hong Ning Zhou
- London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK
- Yunnan Institute of Parasitic Diseases, 6 Xiyuan Road, Simao, Puer, Yunnan, People’s Republic of China
| | - Piyu Wang
- Yunnan Institute of Parasitic Diseases, 6 Xiyuan Road, Simao, Puer, Yunnan, People’s Republic of China
| | - Xiaofang Guo
- Yunnan Institute of Parasitic Diseases, 6 Xiyuan Road, Simao, Puer, Yunnan, People’s Republic of China
| | - Ilona Carneiro
- London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK
| | - Sarah J Moore
- Environmental Health and Ecological Sciences Thematic Group, Ifakara Health Institute, Bagamoyo Research and Training Centre, Bagamoyo, Tanzania
- Swiss Tropical and Public Health Institute, Socinstr. 57, 4051 Basel, Switzerland
- University of Basel, Petersplatz 1, 4003 Basel, Switzerland
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288
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Chang X, Zhong D, Fang Q, Hartsel J, Zhou G, Shi L, Fang F, Zhu C, Yan G. Multiple resistances and complex mechanisms of Anopheles sinensis mosquito: a major obstacle to mosquito-borne diseases control and elimination in China. PLoS Negl Trop Dis 2014; 8:e2889. [PMID: 24852174 PMCID: PMC4031067 DOI: 10.1371/journal.pntd.0002889] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Accepted: 04/10/2014] [Indexed: 11/19/2022] Open
Abstract
Malaria, dengue fever, and filariasis are three of the most common mosquito-borne diseases worldwide. Malaria and lymphatic filariasis can occur as concomitant human infections while also sharing common mosquito vectors. The overall prevalence and health significance of malaria and filariasis have made them top priorities for global elimination and control programmes. Pyrethroid resistance in anopheline mosquito vectors represents a highly significant problem to malaria control worldwide. Several methods have been proposed to mitigate insecticide resistance, including rotational use of insecticides with different modes of action. Anopheles sinensis, an important malaria and filariasis vector in Southeast Asia, represents an interesting mosquito species for examining the consequences of long-term insecticide rotation use on resistance. We examined insecticide resistance in two An. Sinensis populations from central and southern China against pyrethroids, organochlorines, organophosphates, and carbamates, which are the major classes of insecticides recommended for indoor residual spray. We found that the mosquito populations were highly resistant to the four classes of insecticides. High frequency of kdr mutation was revealed in the central population, whereas no kdr mutation was detected in the southern population. The frequency of G119S mutation in the ace-1 gene was moderate in both populations. The classification and regression trees (CART) statistical analysis found that metabolic detoxification was the most important resistance mechanism, whereas target site insensitivity of L1014 kdr mutation played a less important role. Our results indicate that metabolic detoxification was the dominant mechanism of resistance compared to target site insensitivity, and suggests that long-term rotational use of various insecticides has led An. sinensis to evolve a high insecticide resistance. This study highlights the complex network of mechanisms conferring multiple resistances to chemical insecticides in mosquito vectors and it has important implication for designing and implementing vector resistance management strategies.
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Affiliation(s)
- Xuelian Chang
- Department of Pathogen Biology, Nanjing Medical University, Nanjing, China
- Department of Pathogen Biology, Bengbu Medical College, Anhui, China
- Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, California, United States of America
| | - Daibin Zhong
- Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, California, United States of America
| | - Qiang Fang
- Department of Pathogen Biology, Bengbu Medical College, Anhui, China
| | - Joshua Hartsel
- Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, California, United States of America
| | - Guofa Zhou
- Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, California, United States of America
| | - Linna Shi
- Department of Pathogen Biology, Nanjing Medical University, Nanjing, China
| | - Fujin Fang
- Department of Pathogen Biology, Nanjing Medical University, Nanjing, China
| | - Changliang Zhu
- Department of Pathogen Biology, Nanjing Medical University, Nanjing, China
| | - Guiyun Yan
- Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, California, United States of America
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289
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Battle KE, Karhunen MS, Bhatt S, Gething PW, Howes RE, Golding N, Van Boeckel TP, Messina JP, Shanks GD, Smith DL, Baird JK, Hay SI. Geographical variation in Plasmodium vivax relapse. Malar J 2014; 13:144. [PMID: 24731298 PMCID: PMC4021508 DOI: 10.1186/1475-2875-13-144] [Citation(s) in RCA: 202] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Accepted: 03/31/2014] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Plasmodium vivax has the widest geographic distribution of the human malaria parasites and nearly 2.5 billion people live at risk of infection. The control of P. vivax in individuals and populations is complicated by its ability to relapse weeks to months after initial infection. Strains of P. vivax from different geographical areas are thought to exhibit varied relapse timings. In tropical regions strains relapse quickly (three to six weeks), whereas those in temperate regions do so more slowly (six to twelve months), but no comprehensive assessment of evidence has been conducted. Here observed patterns of relapse periodicity are used to generate predictions of relapse incidence within geographic regions representative of varying parasite transmission. METHODS A global review of reports of P. vivax relapse in patients not treated with a radical cure was conducted. Records of time to first P. vivax relapse were positioned by geographic origin relative to expert opinion regions of relapse behaviour and epidemiological zones. Mixed-effects meta-analysis was conducted to determine which geographic classification best described the data, such that a description of the pattern of relapse periodicity within each region could be described. Model outputs of incidence and mean time to relapse were mapped to illustrate the global variation in relapse. RESULTS Differences in relapse periodicity were best described by a historical geographic classification system used to describe malaria transmission zones based on areas sharing zoological and ecological features. Maps of incidence and time to relapse showed high relapse frequency to be predominant in tropical regions and prolonged relapse in temperate areas. CONCLUSIONS The results indicate that relapse periodicity varies systematically by geographic region and are categorized by nine global regions characterized by similar malaria transmission dynamics. This indicates that relapse may be an adaptation evolved to exploit seasonal changes in vector survival and therefore optimize transmission. Geographic patterns in P. vivax relapse are important to clinicians treating individual infections, epidemiologists trying to infer P. vivax burden, and public health officials trying to control and eliminate the disease in human populations.
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Affiliation(s)
- Katherine E Battle
- Department of Zoology, Spatial Ecology and Epidemiology Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, UK
| | - Markku S Karhunen
- Department of Zoology, Spatial Ecology and Epidemiology Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, UK
| | - Samir Bhatt
- Department of Zoology, Spatial Ecology and Epidemiology Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, UK
| | - Peter W Gething
- Department of Zoology, Spatial Ecology and Epidemiology Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, UK
| | - Rosalind E Howes
- Department of Zoology, Spatial Ecology and Epidemiology Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, UK
| | - Nick Golding
- Department of Zoology, Spatial Ecology and Epidemiology Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, UK
| | - Thomas P Van Boeckel
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Jane P Messina
- Department of Zoology, Spatial Ecology and Epidemiology Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, UK
| | - G Dennis Shanks
- Australian Army Malaria Institute, Enoggera, Queensland, Australia
| | - David L Smith
- Department of Epidemiology and Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | - J Kevin Baird
- Eijkman-Oxford Clinical Research Unit, Jalan Diponegoro No 69, Jakarta, Indonesia
- Nuffield Department of Medicine, Centre for Tropical Medicine, University of Oxford, Oxford, UK
| | - Simon I Hay
- Department of Zoology, Spatial Ecology and Epidemiology Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, UK
- Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
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290
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Bourtzis K, Dobson SL, Xi Z, Rasgon JL, Calvitti M, Moreira LA, Bossin HC, Moretti R, Baton LA, Hughes GL, Mavingui P, Gilles JRL. Harnessing mosquito-Wolbachia symbiosis for vector and disease control. Acta Trop 2014; 132 Suppl:S150-63. [PMID: 24252486 DOI: 10.1016/j.actatropica.2013.11.004] [Citation(s) in RCA: 225] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2013] [Revised: 11/01/2013] [Accepted: 11/09/2013] [Indexed: 12/11/2022]
Abstract
Mosquito species, members of the genera Aedes, Anopheles and Culex, are the major vectors of human pathogens including protozoa (Plasmodium sp.), filariae and of a variety of viruses (causing dengue, chikungunya, yellow fever, West Nile). There is lack of efficient methods and tools to treat many of the diseases caused by these major human pathogens, since no efficient vaccines or drugs are available; even in malaria where insecticide use and drug therapies have reduced incidence, 219 million cases still occurred in 2010. Therefore efforts are currently focused on the control of vector populations. Insecticides alone are insufficient to control mosquito populations since reduced susceptibility and even resistance is being observed more and more frequently. There is also increased concern about the toxic effects of insecticides on non-target (even beneficial) insect populations, on humans and the environment. During recent years, the role of symbionts in the biology, ecology and evolution of insect species has been well-documented and has led to suggestions that they could potentially be used as tools to control pests and therefore diseases. Wolbachia is perhaps the most renowned insect symbiont, mainly due to its ability to manipulate insect reproduction and to interfere with major human pathogens thus providing new avenues for pest control. We herein present recent achievements in the field of mosquito-Wolbachia symbiosis with an emphasis on Aedes albopictus. We also discuss how Wolbachia symbiosis can be harnessed for vector control as well as the potential to combine the sterile insect technique and Wolbachia-based approaches for the enhancement of population suppression programs.
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Affiliation(s)
- Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Programme of Nuclear Techniques in Food and Agriculture, Wagrammerstrasse 5, Vienna 1220, Austria.
| | - Stephen L Dobson
- Department of Entomology, University of Kentucky, Lexington, KY, USA.
| | - Zhiyong Xi
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, USA.
| | - Jason L Rasgon
- The Department of Entomology, Center for Infectious Disease Dynamics and Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA.
| | - Maurizio Calvitti
- UTAGRI-ECO, CR ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development), Rome, Italy.
| | - Luciano A Moreira
- Laboratório de Malária, Centro de Pesquisas René Rachou, FIOCRUZ Minas, Avenida Augusto de Lima, 1715, Barro Preto, CEP 30190-002 Belo Horizonte, MG, Brazil.
| | - Hervé C Bossin
- Unit of Emerging Infectious Diseases, Institut Louis Malardé, Tahiti, BP 30-98713 Papeete, French Polynesia.
| | - Riccardo Moretti
- UTAGRI-ECO, CR ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development), Rome, Italy.
| | - Luke Anthony Baton
- Laboratório de Malária, Centro de Pesquisas René Rachou, FIOCRUZ Minas, Avenida Augusto de Lima, 1715, Barro Preto, CEP 30190-002 Belo Horizonte, MG, Brazil.
| | - Grant L Hughes
- The Department of Entomology, Center for Infectious Disease Dynamics and Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA.
| | - Patrick Mavingui
- Université de Lyon, UMR 5557 CNRS, USC INRA 1364, VetAgro Sup, Université Claude Bernard Lyon 1, 69622 Villeurbanne Cedex, France.
| | - Jeremie R L Gilles
- Insect Pest Control Laboratory, Joint FAO/IAEA Programme of Nuclear Techniques in Food and Agriculture, Wagrammerstrasse 5, Vienna 1220, Austria.
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291
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Moyes CL, Henry AJ, Golding N, Huang Z, Singh B, Baird JK, Newton PN, Huffman M, Duda KA, Drakeley CJ, Elyazar IRF, Anstey NM, Chen Q, Zommers Z, Bhatt S, Gething PW, Hay SI. Defining the geographical range of the Plasmodium knowlesi reservoir. PLoS Negl Trop Dis 2014; 8:e2780. [PMID: 24676231 PMCID: PMC3967999 DOI: 10.1371/journal.pntd.0002780] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2013] [Accepted: 02/23/2014] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The simian malaria parasite, Plasmodium knowlesi, can cause severe and fatal disease in humans yet it is rarely included in routine public health reporting systems for malaria and its geographical range is largely unknown. Because malaria caused by P. knowlesi is a truly neglected tropical disease, there are substantial obstacles to defining the geographical extent and risk of this disease. Information is required on the occurrence of human cases in different locations, on which non-human primates host this parasite and on which vectors are able to transmit it to humans. We undertook a systematic review and ranked the existing evidence, at a subnational spatial scale, to investigate the potential geographical range of the parasite reservoir capable of infecting humans. METHODOLOGY/PRINCIPAL FINDINGS After reviewing the published literature we identified potential host and vector species and ranked these based on how informative they are for the presence of an infectious parasite reservoir, based on current evidence. We collated spatial data on parasite occurrence and the ranges of the identified host and vector species. The ranked spatial data allowed us to assign an evidence score to 475 subnational areas in 19 countries and we present the results on a map of the Southeast and South Asia region. CONCLUSIONS/SIGNIFICANCE We have ranked subnational areas within the potential disease range according to evidence for presence of a disease risk to humans, providing geographical evidence to support decisions on prevention, management and prophylaxis. This work also highlights the unknown risk status of large parts of the region. Within this unknown category, our map identifies which areas have most evidence for the potential to support an infectious reservoir and are therefore a priority for further investigation. Furthermore we identify geographical areas where further investigation of putative host and vector species would be highly informative for the region-wide assessment.
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Affiliation(s)
- Catherine L. Moyes
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Andrew J. Henry
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Nick Golding
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Zhi Huang
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Balbir Singh
- Malaria Research Centre, Universiti Malaysia Sarawak, Kuching, Sarawak, Malaysia
| | - J. Kevin Baird
- Eijkman-Oxford Clinical Research Unit, Jakarta, Indonesia
- Centre for Tropical Medicine, University of Oxford, Oxford, United Kingdom
| | - Paul N. Newton
- Centre for Tropical Medicine, University of Oxford, Oxford, United Kingdom
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Michael Huffman
- Primate Research Institute, Kyoto University, Inuyama, Aichi, Japan
| | - Kirsten A. Duda
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Chris J. Drakeley
- Department of Immunology and Infection, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Nicholas M. Anstey
- Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia
| | - Qijun Chen
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Zoonosis, Jilin University, Changchun, China
| | - Zinta Zommers
- Division of Early Warning and Assessment, United Nations Environment Programme, Nairobi, Kenya
| | - Samir Bhatt
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Peter W. Gething
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Simon I. Hay
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America
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292
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Abstract
For most of human history, populations have been relatively isolated from each other, and only recently has there been extensive contact between peoples, flora and fauna from both old and new worlds. The reach, volume and speed of modern travel are unprecedented, with human mobility increasing in high income countries by over 1000-fold since 1800. This growth is putting people at risk from the emergence of new strains of familiar diseases, and from completely new diseases, while ever more cases of the movement of both disease vectors and the diseases they carry are being seen. Pathogens and their vectors can now move further, faster and in greater numbers than ever before. Equally however, we now have access to the most detailed and comprehensive datasets on human mobility and pathogen distributions ever assembled, in order to combat these threats. This short review paper provides an overview of these datasets, with a particular focus on low income regions, and covers briefly approaches used to combine them to help us understand and control some of the negative effects of population and pathogen movements.
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Affiliation(s)
- Andrew J Tatem
- Department of Geography and Environment, University of Southampton, UK
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293
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Choochote W, Min GS, Intapan PM, Tantrawatpan C, Saeung A, Lulitanond V. Evidence to support natural hybridization between Anopheles sinensis and Anopheles kleini (Diptera: Culicidae): possibly a significant mechanism for gene introgression in sympatric populations. Parasit Vectors 2014; 7:36. [PMID: 24443885 PMCID: PMC3899613 DOI: 10.1186/1756-3305-7-36] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2013] [Accepted: 01/18/2014] [Indexed: 01/02/2023] Open
Abstract
Background Malaria caused by Plasmodium vivax is still a public health problem in the Republic of Korea (ROK), particularly regarding the recent re-emergence of this malarial species near the demilitarized zone in northwestern Paju City, Gyeonggi-do Province. Currently, at least 4 species (An. kleini, An. pullus, An. belenrae and An. lesteri) of the Hyrcanus Group are reported as possible natural vectors of vivax malaria in the ROK, and An. sinensis, which is the most dominant species, has long been incriminated as an important natural vector of this P. vivax. However, An. sinensis was ranked recently as a low potential vector. According to the discovery of natural hybrids between An. sinensis (a low potential vector for P. vivax) and An. kleini (a high potential vector for P. vivax) in Paju City, intensive investigation of this phenomenon is warranted under laboratory conditions. Methods Mosquitoes were collected during 2010-2012 from Paju City, ROK. Hybridization experiments used iso-female line colonies of these anophelines together with DNA analysis of ribosomal DNA [second internal transcribed spacer (ITS2)] and mitochondrial DNA [cytochrome c oxidase subunit I (COI)] of the parental colonies, F1-hybrids and repeated backcross progenies were performed intensively by using a PCR-based assay and pyrosequencing technology. Results The results from hybridization experiments and molecular investigations revealed that the mitochondrial COI gene was introgressed from An. sinensis into An. kleini. The An. sinensis progenies obtained from consecutive repeated backcrosses in both directions, i.e., F2-11 progeny [(An. sinensis x An. kleini) x An. sinensis] and F3-5 progeny [(An. kleini x An. sinensis) x An. kleini] provided good supportive evidence. Conclusions This study revealed introgression of the mitochondrial COI gene between An. sinensis and An. kleini through consecutive repeated backcrosses under laboratory conditions. This new body of knowledge will be emphasized in reliable promising strategies in order to replace the population of An. kleini as a high potential vector for P. vivax, with that of a low potential vector, An. sinensis, through the mechanism of gene introgression in nature.
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Affiliation(s)
- Wej Choochote
- Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
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294
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Clements ACA, Reid HL, Kelly GC, Hay SI. Further shrinking the malaria map: how can geospatial science help to achieve malaria elimination? THE LANCET. INFECTIOUS DISEASES 2013; 13:709-18. [PMID: 23886334 DOI: 10.1016/s1473-3099(13)70140-3] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Malaria is one of the biggest contributors to deaths caused by infectious disease. More than 30 countries have planned or started programmes to target malaria elimination, often with explicit support from international donors. The spatial distribution of malaria, at all levels of endemicity, is heterogeneous. Moreover, populations living in low-endemic settings where elimination efforts might be targeted are often spatially heterogeneous. Geospatial methods, therefore, can help design, target, monitor, and assess malaria elimination programmes. Rapid advances in technology and analytical methods have allowed the spatial prediction of malaria risk and the development of spatial decision support systems, which can enhance elimination programmes by enabling accurate and timely resource allocation. However, no framework exists for assessment of geospatial instruments. Research is needed to identify measurable indicators of elimination progress and to quantify the effect of geospatial methods in achievement of elimination outcomes.
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Affiliation(s)
- Archie C A Clements
- University of Queensland, Infectious Disease Epidemiology Unit, School of Population Health, Herston, QLD, Australia.
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295
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Sudre B, Rossi M, Van Bortel W, Danis K, Baka A, Vakalis N, Semenza JC. Mapping environmental suitability for malaria transmission, Greece. Emerg Infect Dis 2013; 19:784-6. [PMID: 23697370 PMCID: PMC3647495 DOI: 10.3201/eid1905.120811] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
During 2009–2012, Greece experienced a resurgence of domestic malaria transmission. To help guide malaria response efforts, we used spatial modeling to characterize environmental signatures of areas suitable for transmission. Nonlinear discriminant analysis indicated that sea-level altitude and land-surface temperature parameters are predictive in this regard.
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Affiliation(s)
- Bertrand Sudre
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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296
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Temporal and micro-spatial heterogeneity in the distribution of Anopheles vectors of malaria along the Kenyan coast. Parasit Vectors 2013; 6:311. [PMID: 24330615 PMCID: PMC3843567 DOI: 10.1186/1756-3305-6-311] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2013] [Accepted: 10/04/2013] [Indexed: 11/10/2022] Open
Abstract
Background The distribution of anopheline mosquitoes is determined by temporally dynamic environmental and human-associated variables, operating over a range of spatial scales. Macro-spatial short-term trends are driven predominantly by prior (lagged) seasonal changes in climate, which regulate the abundance of suitable aquatic larval habitats. Micro-spatial distribution is determined by the location of these habitats, proximity and abundance of available human bloodmeals and prevailing micro-climatic conditions. The challenge of analysing—in a single coherent statistical framework—the lagged and distributed effect of seasonal climate changes simultaneously with the effects of an underlying hierarchy of spatial factors has hitherto not been addressed. Methods Data on Anopheles gambiae sensu stricto and A. funestus collected from households in Kilifi district, Kenya, were analysed using polynomial distributed lag generalized linear mixed models (PDL GLMMs). Results Anopheline density was positively and significantly associated with amount of rainfall between 4 to 47 days, negatively and significantly associated with maximum daily temperature between 5 and 35 days, and positively and significantly associated with maximum daily temperature between 29 and 48 days in the past (depending on Anopheles species). Multiple-occupancy households harboured greater mosquito numbers than single-occupancy households. A significant degree of mosquito clustering within households was identified. Conclusions The PDL GLMMs developed here represent a generalizable framework for analysing hierarchically-structured data in combination with explanatory variables which elicit lagged effects. The framework is a valuable tool for facilitating detailed understanding of determinants of the spatio-temporal distribution of Anopheles. Such understanding facilitates delivery of targeted, cost-effective and, in certain circumstances, preventative antivectorial interventions against malaria.
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297
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Durnez L, Mao S, Denis L, Roelants P, Sochantha T, Coosemans M. Outdoor malaria transmission in forested villages of Cambodia. Malar J 2013; 12:329. [PMID: 24044424 PMCID: PMC3848552 DOI: 10.1186/1475-2875-12-329] [Citation(s) in RCA: 97] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2013] [Accepted: 09/10/2013] [Indexed: 01/08/2023] Open
Abstract
Background Despite progress in malaria control, malaria remains an important public health concern in Cambodia, mostly linked to forested areas. Large-scale vector control interventions in Cambodia are based on the free distribution of long-lasting insecticidal nets (LLINs), targeting indoor- and late-biting malaria vectors only. The present study evaluated the vector density, early biting activity and malaria transmission of outdoor-biting malaria vectors in two forested regions in Cambodia. Methods In 2005 two entomological surveys were conducted in 12 villages and their related forest plots in the east and west of Cambodia. Mosquitoes were collected outdoors by human landing collections and subjected to enzyme-linked immunosorbent assay (ELISA) to detect Plasmodium sporozoites after morphological identification. Blood samples were collected in the same villages for serological analyses. Collected data were analysed by the classification and regression tree (CART) method and linear regression analysis. Results A total of 11,826 anophelines were recorded landing in 787 man-night collections. The majority (82.9%) were the known primary and secondary vectors. Most of the variability in vector densities and early biting rates was explained by geographical factors, mainly at village level. Vector densities were similar between forest and village sites. Based on ELISA results, 29% out of 17 Plasmodium-positive bites occurred before sleeping time, and 65% in the forest plots. The entomological inoculation rates of survey 1 were important predictors of the respective seroconversion rates in survey 2, whereas the mosquito densities were not. Discussion In Cambodia, outdoor malaria transmission in villages and forest plots is important. In this context, deforestation might result in lower densities of the primary vectors, but also in higher densities of secondary vectors invading deforested areas. Moreover, higher accessibility of the forest could result in a higher man-vector contact. Therefore, additional vector control measures should be developed to target outdoor- and early-biting vectors.
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Affiliation(s)
- Lies Durnez
- Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, Antwerpen B-2000, Belgium.
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298
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Yu G, Yan G, Zhang N, Zhong D, Wang Y, He Z, Yan Z, Fu W, Yang F, Chen B. The Anopheles community and the role of Anopheles minimus on malaria transmission on the China-Myanmar border. Parasit Vectors 2013; 6:264. [PMID: 24034528 PMCID: PMC3856509 DOI: 10.1186/1756-3305-6-264] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2013] [Accepted: 09/07/2013] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Malaria around the China-Myanmar border is a serious health problem in the countries of South-East Asia. An. minimus is a principle malaria vector with a wide geographic distribution in this area. Malaria is endemic along the boundary between Yunnan province in China and the Kachin State of Myanmar where the local Anopheles community (species composition) and the malaria transmission vectors have never been clarified. METHODS Adult Anopheles specimens were collected using CDC light traps in four villages along the border of China and Myanmar from May 2012 to April 2013. Morphological and molecular identification of mosquito adults confirmed the species of Anopheles. Blood-meal identification using the female abdomens was conducted using multiplex PCR. For sporozoite detection in An. minimus, sets of 10 female salivary glands were pooled and identified with SSU rDNA using nested PCR. Monthly abundance of An. minimus populations during the year was documented. The diversity of Anopheles and the role of An. minimus on malaria transmission in this border area were analyzed. RESULTS 4,833 adult mosquitoes in the genus Anopheles were collected and morphologically identified to species or species complex. The Anopheles community is comprised of 13 species, and 78.83% of our total specimens belonged to An. minimus s.l., followed by An. maculatus (5.55%) and the An. culicifacies complex (4.03%). The quantity of trapped An. minimus in the rainy season of malaria transmission was greater than during the non-malarial dry season, and a peak was found in May 2012. An. minimus fed on the blood of four animals: humans (79.8%), cattle (10.6%), pigs (5.8%) and dogs (3.8%). 1,500 females of An. minimus were pooled into 150 samples and tested for sporozoites: only 1 pooled sample was found to have sporozoites of Plasmodium vivax. CONCLUSION Anopheles is abundant with An. minimus being the dominant species and having a high human blood index along the China-Myanmar border. The sporozoites in An. minimus were determined to be Plasmodium vivax with a 0.07-0.7% infection rate.
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Affiliation(s)
- Guo Yu
- Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Chongqing, P.R. China
| | - Guiyun Yan
- Program in Public Health, College of Health Sciences, University of California, Irvine, California, USA
| | - Naixin Zhang
- Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Chongqing, P.R. China
| | - Daibin Zhong
- Program in Public Health, College of Health Sciences, University of California, Irvine, California, USA
| | - Ying Wang
- Department of Pathogenic Biology, College of Medicine, Third Military Medical University, Chongqing, China
| | - Zhengbo He
- Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Chongqing, P.R. China
| | - Zhentian Yan
- Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Chongqing, P.R. China
| | - Wenbo Fu
- Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Chongqing, P.R. China
| | - Feilong Yang
- Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Chongqing, P.R. China
| | - Bin Chen
- Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Chongqing, P.R. China
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Surendran SN, Sarma DK, Jude PJ, Kemppainen P, Kanthakumaran N, Gajapathy K, Peiris LBS, Ramasamy R, Walton C. Molecular characterization and identification of members of the Anopheles subpictus complex in Sri Lanka. Malar J 2013; 12:304. [PMID: 24001126 PMCID: PMC3766661 DOI: 10.1186/1475-2875-12-304] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2013] [Accepted: 08/26/2013] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Anopheles subpictus sensu lato is a major malaria vector in South and Southeast Asia. Based initially on polytene chromosome inversion polymorphism, and subsequently on morphological characterization, four sibling species A-D were reported from India. The present study uses molecular methods to further characterize and identify sibling species in Sri Lanka. METHODS Mosquitoes from Sri Lanka were morphologically identified to species and sequenced for the ribosomal internal transcribed spacer-2 (ITS2) and the mitochondrial cytochrome c oxidase subunit-I (COI) genes. These sequences, together with others from GenBank, were used to construct phylogenetic trees and parsimony haplotype networks and to test for genetic population structure. RESULTS Both ITS2 and COI sequences revealed two divergent clades indicating that the Subpictus complex in Sri Lanka is composed of two genetically distinct species that correspond to species A and species B from India. Phylogenetic analysis showed that species A and species B do not form a monophyletic clade but instead share genetic similarity with Anopheles vagus and Anopheles sundaicus s.l., respectively. An allele specific identification method based on ITS2 variation was developed for the reliable identification of species A and B in Sri Lanka. CONCLUSION Further multidisciplinary studies are needed to establish the species status of all chromosomal forms in the Subpictus complex. This study emphasizes the difficulties in using morphological characters for species identification in An. subpictus s.l. in Sri Lanka and demonstrates the utility of an allele specific identification method that can be used to characterize the differential bio-ecological traits of species A and B in Sri Lanka.
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Affiliation(s)
- Sinnathamby N Surendran
- Department of Zoology, Faculty of Science, University of Jaffna, Jaffna 40000, Sri Lanka
- Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Devojit K Sarma
- Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
- Regional Medical Research Centre, NE region (ICMR), Dibrugarh 786001, Assam, India
| | - Pavilupillai J Jude
- Department of Zoology, Faculty of Science, University of Jaffna, Jaffna 40000, Sri Lanka
| | - Petri Kemppainen
- Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | | | - Kanapathy Gajapathy
- Department of Zoology, Faculty of Science, University of Jaffna, Jaffna 40000, Sri Lanka
| | | | - Ranjan Ramasamy
- Department of Zoology, Faculty of Science, University of Jaffna, Jaffna 40000, Sri Lanka
| | - Catherine Walton
- Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
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Chen-Hussey V, Carneiro I, Keomanila H, Gray R, Bannavong S, Phanalasy S, Lindsay SW. Can topical insect repellents reduce malaria? A cluster-randomised controlled trial of the insect repellent N,N-diethyl-m-toluamide (DEET) in Lao PDR. PLoS One 2013; 8:e70664. [PMID: 23967083 PMCID: PMC3743820 DOI: 10.1371/journal.pone.0070664] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 06/13/2013] [Indexed: 11/23/2022] Open
Abstract
Background Mosquito vectors of malaria in Southeast Asia readily feed outdoors making malaria control through indoor insecticides such as long-lasting insecticidal nets (LLINs) and indoor residual spraying more difficult. Topical insect repellents may be able to protect users from outdoor biting, thereby providing additional protection above the current best practice of LLINs. Methods and Findings A double blind, household randomised, placebo-controlled trial of insect repellent to reduce malaria was carried out in southern Lao PDR to determine whether the use of repellent and long-lasting insecticidal nets (LLINs) could reduce malaria more than LLINs alone. A total of 1,597 households, including 7,979 participants, were recruited in June 2009 and April 2010. Equal group allocation, stratified by village, was used to randomise 795 households to a 15% DEET lotion and the remainder were given a placebo lotion. Participants, field staff and data analysts were blinded to the group assignment until data analysis had been completed. All households received new LLINs. Participants were asked to apply their lotion to exposed skin every evening and sleep under the LLINs each night. Plasmodium falciparum and P. vivax cases were actively identified by monthly rapid diagnostic tests. Intention to treat analysis found no effect from the use of repellent on malaria incidence (hazard ratio: 1.00, 95% CI: 0.99–1.01, p = 0.868). A higher socio-economic score was found to significantly decrease malaria risk (hazard ratio: 0.72, 95% CI: 0.58–0.90, p = 0.004). Women were also found to have a reduced risk of infection (hazard ratio: 0.59, 95% CI: 0.37–0.92, p = 0.020). According to protocol analysis which excluded participants using the lotions less than 90% of the time found similar results with no effect from the use of repellent. Conclusions This randomised controlled trial suggests that topical repellents are not a suitable intervention in addition to LLINs against malaria amongst agricultural populations in southern Lao PDR. These results are also likely to be applicable to much of the Greater Mekong Sub-region. Trial Registration This trial is registered with number NCT00938379
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Affiliation(s)
- Vanessa Chen-Hussey
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
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