Prediction of the potential global distribution for Biomphalaria straminea, an intermediate host for Schistosoma mansoni

Schistosomiasis is a snail-borne parasitic disease and is endemic in many tropical and subtropical countries. Biomphalaria straminea, an intermediate host for Schistosoma mansoni, is native to the southeastern part of South America and has established in other regions of South America, Central Ameri...

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Veröffentlicht in:PLoS neglected tropical diseases 2018-05, Vol.12 (5), p.e0006548-e0006548
Hauptverfasser: Yang, Ya, Cheng, Wanting, Wu, Xiaoying, Huang, Shaoyu, Deng, Zhuohui, Zeng, Xin, Yuan, Dongjuan, Yang, Yu, Wu, Zhongdao, Chen, Yue, Zhou, Yibiao, Jiang, Qingwu
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container_title PLoS neglected tropical diseases
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creator Yang, Ya
Cheng, Wanting
Wu, Xiaoying
Huang, Shaoyu
Deng, Zhuohui
Zeng, Xin
Yuan, Dongjuan
Yang, Yu
Wu, Zhongdao
Chen, Yue
Zhou, Yibiao
Jiang, Qingwu
description Schistosomiasis is a snail-borne parasitic disease and is endemic in many tropical and subtropical countries. Biomphalaria straminea, an intermediate host for Schistosoma mansoni, is native to the southeastern part of South America and has established in other regions of South America, Central America and southern China during the last decades. S. mansoni is endemic in Africa, the Middle East, South America and the Caribbean. Knowledge of the potential global distribution of this snail is essential for risk assessment, monitoring, disease prevention and control. A comprehensive database of cross-continental occurrence for B. straminea was compiled to construct ecological models. We used several approaches to investigate the distribution of B. straminea, including direct comparison of climatic conditions, principal component analysis and niche overlap analyses to detect niche shifts. We also investigated the impacts of bioclimatic and human factors, and then used the bioclimatic and footprint layers to predict the potential distribution of B. straminea at global scale. We detected niche shifts accompanying the invasions of B. straminea in the Americas and China. The introduced populations had enlarged its habitats to subtropical regions where annual mean temperature is relatively low. Annual mean temperature, isothermality and temperature seasonality were identified as most important climatic features for the occurrence of B. straminea. Additionally, human factors improved the model prediction (P
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Biomphalaria straminea, an intermediate host for Schistosoma mansoni, is native to the southeastern part of South America and has established in other regions of South America, Central America and southern China during the last decades. S. mansoni is endemic in Africa, the Middle East, South America and the Caribbean. Knowledge of the potential global distribution of this snail is essential for risk assessment, monitoring, disease prevention and control. A comprehensive database of cross-continental occurrence for B. straminea was compiled to construct ecological models. We used several approaches to investigate the distribution of B. straminea, including direct comparison of climatic conditions, principal component analysis and niche overlap analyses to detect niche shifts. We also investigated the impacts of bioclimatic and human factors, and then used the bioclimatic and footprint layers to predict the potential distribution of B. straminea at global scale. We detected niche shifts accompanying the invasions of B. straminea in the Americas and China. The introduced populations had enlarged its habitats to subtropical regions where annual mean temperature is relatively low. Annual mean temperature, isothermality and temperature seasonality were identified as most important climatic features for the occurrence of B. straminea. Additionally, human factors improved the model prediction (P&lt;0.001). Our model showed that under current climate conditions the snail should mostly be confined to the tropic and subtropic regions, including South America, Central America, Sub-Saharan Africa and Southeast Asia. Our results confirmed that niche shifts took place in the invasions of B. straminea, for which bioclimatic and human factors played an important role. Our model predicted the global distribution of B. straminea based on habitat suitability, which would help for prioritizing monitoring and management efforts for B. straminea control in the context of ongoing climate change and human disturbances.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0006548</identifier><identifier>PMID: 29813073</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Bioclimatology ; Biological invasions ; Biology and Life Sciences ; Biometeorology ; Biomphalaria ; Climate change ; Climatic conditions ; Control methods ; Diagnosis ; Disease control ; Distribution ; Ecological models ; Ecological monitoring ; Ecology and Environmental Sciences ; Epidemiology ; Health risk assessment ; Health risks ; Human factors ; Invasions ; Niche overlap ; Niches ; Parasitic diseases ; People and Places ; Physical Sciences ; Planorbidae ; Predictions ; Prevention ; Principal components analysis ; Regions ; Research and Analysis Methods ; Risk assessment ; Schistosoma mansoni ; Schistosomiasis ; Seasonal variations ; Seasonality ; Systematic review ; Temperature ; Temperature effects ; Tropical climate ; Tropical diseases</subject><ispartof>PLoS neglected tropical diseases, 2018-05, Vol.12 (5), p.e0006548-e0006548</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Our model predicted the global distribution of B. straminea based on habitat suitability, which would help for prioritizing monitoring and management efforts for B. straminea control in the context of ongoing climate change and human disturbances.</description><subject>Analysis</subject><subject>Bioclimatology</subject><subject>Biological invasions</subject><subject>Biology and Life Sciences</subject><subject>Biometeorology</subject><subject>Biomphalaria</subject><subject>Climate change</subject><subject>Climatic conditions</subject><subject>Control methods</subject><subject>Diagnosis</subject><subject>Disease control</subject><subject>Distribution</subject><subject>Ecological models</subject><subject>Ecological monitoring</subject><subject>Ecology and Environmental Sciences</subject><subject>Epidemiology</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Human factors</subject><subject>Invasions</subject><subject>Niche overlap</subject><subject>Niches</subject><subject>Parasitic diseases</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Planorbidae</subject><subject>Predictions</subject><subject>Prevention</subject><subject>Principal components analysis</subject><subject>Regions</subject><subject>Research and Analysis Methods</subject><subject>Risk assessment</subject><subject>Schistosoma mansoni</subject><subject>Schistosomiasis</subject><subject>Seasonal variations</subject><subject>Seasonality</subject><subject>Systematic review</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Tropical climate</subject><subject>Tropical diseases</subject><issn>1935-2735</issn><issn>1935-2727</issn><issn>1935-2735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptkl2LEzEYhQdR3HX1H4gOCOKFrfmaTHMjrIsfCwsK6nV4J8l0UjJJTVLRf286nV1aWXKRkDznJDmcqnqO0RLTFr_bhF304JZbn_USIcQbtnpQnWNBmwVpafPwaH1WPUlpg1AjmhV-XJ0RscIUtfS8-vMtGm1VtsHXoa_zYOptyMZnC65eu9CVSduUo-12E9SHWH-wYdwO4CBaqMsZjNYbeFuDr63PJo7FErKph5DyJPiuhuIRUhihHsGn4O3T6lEPLpln83xR_fz08cfVl8XN18_XV5c3C8UJywsBvFekQ4wKgfuV1gJI13Sk1dAR3FGheKuZaqgmCojAmhiicS8Y6YkmQOlF9fLgu3UhyTm0JAliQpAV56gQ1wdCB9jIbbQjxL8ygJXTRohrCTFb5YykiJJWqZI_N4wh0XVGUWwQxwgzxqB4vZ9v23UlBVWCjOBOTE9PvB3kOvyWjRCUiLYYvJkNYvi1MynL0SZlnANvwm56d0s4IVwU9NV_6P2_m6k1lA9Y34dyr9qbysuGYcRZ2-5TWt5DlaHNaFXwprdl_0Tw-kgwGHB5SMFNHUmnIDuAKoaUounvwsBI7ot8-2q5L7Kci1xkL46DvBPdNpf-A5VZ8TA</recordid><startdate>20180529</startdate><enddate>20180529</enddate><creator>Yang, Ya</creator><creator>Cheng, Wanting</creator><creator>Wu, Xiaoying</creator><creator>Huang, Shaoyu</creator><creator>Deng, Zhuohui</creator><creator>Zeng, Xin</creator><creator>Yuan, Dongjuan</creator><creator>Yang, Yu</creator><creator>Wu, Zhongdao</creator><creator>Chen, Yue</creator><creator>Zhou, Yibiao</creator><creator>Jiang, Qingwu</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SS</scope><scope>7T2</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>H95</scope><scope>H97</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8170-2885</orcidid></search><sort><creationdate>20180529</creationdate><title>Prediction of the potential global distribution for Biomphalaria straminea, an intermediate host for Schistosoma mansoni</title><author>Yang, Ya ; Cheng, Wanting ; Wu, Xiaoying ; Huang, Shaoyu ; Deng, Zhuohui ; Zeng, Xin ; Yuan, Dongjuan ; Yang, Yu ; Wu, Zhongdao ; Chen, Yue ; Zhou, Yibiao ; Jiang, Qingwu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c624t-9a6fc2b043991f8dd9a2b5b27dab21b39c67d4c53d2ca291d2e2d1f942f2d2a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Analysis</topic><topic>Bioclimatology</topic><topic>Biological invasions</topic><topic>Biology and Life Sciences</topic><topic>Biometeorology</topic><topic>Biomphalaria</topic><topic>Climate change</topic><topic>Climatic conditions</topic><topic>Control methods</topic><topic>Diagnosis</topic><topic>Disease control</topic><topic>Distribution</topic><topic>Ecological models</topic><topic>Ecological monitoring</topic><topic>Ecology and Environmental Sciences</topic><topic>Epidemiology</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Human factors</topic><topic>Invasions</topic><topic>Niche overlap</topic><topic>Niches</topic><topic>Parasitic diseases</topic><topic>People and Places</topic><topic>Physical Sciences</topic><topic>Planorbidae</topic><topic>Predictions</topic><topic>Prevention</topic><topic>Principal components analysis</topic><topic>Regions</topic><topic>Research and Analysis Methods</topic><topic>Risk assessment</topic><topic>Schistosoma mansoni</topic><topic>Schistosomiasis</topic><topic>Seasonal variations</topic><topic>Seasonality</topic><topic>Systematic review</topic><topic>Temperature</topic><topic>Temperature effects</topic><topic>Tropical climate</topic><topic>Tropical diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Ya</creatorcontrib><creatorcontrib>Cheng, Wanting</creatorcontrib><creatorcontrib>Wu, Xiaoying</creatorcontrib><creatorcontrib>Huang, Shaoyu</creatorcontrib><creatorcontrib>Deng, Zhuohui</creatorcontrib><creatorcontrib>Zeng, Xin</creatorcontrib><creatorcontrib>Yuan, Dongjuan</creatorcontrib><creatorcontrib>Yang, Yu</creatorcontrib><creatorcontrib>Wu, Zhongdao</creatorcontrib><creatorcontrib>Chen, Yue</creatorcontrib><creatorcontrib>Zhou, Yibiao</creatorcontrib><creatorcontrib>Jiang, Qingwu</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; 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Biomphalaria straminea, an intermediate host for Schistosoma mansoni, is native to the southeastern part of South America and has established in other regions of South America, Central America and southern China during the last decades. S. mansoni is endemic in Africa, the Middle East, South America and the Caribbean. Knowledge of the potential global distribution of this snail is essential for risk assessment, monitoring, disease prevention and control. A comprehensive database of cross-continental occurrence for B. straminea was compiled to construct ecological models. We used several approaches to investigate the distribution of B. straminea, including direct comparison of climatic conditions, principal component analysis and niche overlap analyses to detect niche shifts. We also investigated the impacts of bioclimatic and human factors, and then used the bioclimatic and footprint layers to predict the potential distribution of B. straminea at global scale. We detected niche shifts accompanying the invasions of B. straminea in the Americas and China. The introduced populations had enlarged its habitats to subtropical regions where annual mean temperature is relatively low. Annual mean temperature, isothermality and temperature seasonality were identified as most important climatic features for the occurrence of B. straminea. Additionally, human factors improved the model prediction (P&lt;0.001). Our model showed that under current climate conditions the snail should mostly be confined to the tropic and subtropic regions, including South America, Central America, Sub-Saharan Africa and Southeast Asia. Our results confirmed that niche shifts took place in the invasions of B. straminea, for which bioclimatic and human factors played an important role. Our model predicted the global distribution of B. straminea based on habitat suitability, which would help for prioritizing monitoring and management efforts for B. straminea control in the context of ongoing climate change and human disturbances.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29813073</pmid><doi>10.1371/journal.pntd.0006548</doi><orcidid>https://orcid.org/0000-0002-8170-2885</orcidid><oa>free_for_read</oa></addata></record>
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subjects Analysis
Bioclimatology
Biological invasions
Biology and Life Sciences
Biometeorology
Biomphalaria
Climate change
Climatic conditions
Control methods
Diagnosis
Disease control
Distribution
Ecological models
Ecological monitoring
Ecology and Environmental Sciences
Epidemiology
Health risk assessment
Health risks
Human factors
Invasions
Niche overlap
Niches
Parasitic diseases
People and Places
Physical Sciences
Planorbidae
Predictions
Prevention
Principal components analysis
Regions
Research and Analysis Methods
Risk assessment
Schistosoma mansoni
Schistosomiasis
Seasonal variations
Seasonality
Systematic review
Temperature
Temperature effects
Tropical climate
Tropical diseases
title Prediction of the potential global distribution for Biomphalaria straminea, an intermediate host for Schistosoma mansoni
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