Title |
Non-competitive resource exploitation within mosquito shapes within-host malaria infectivity and virulence
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Published in |
Nature Communications, August 2018
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DOI | 10.1038/s41467-018-05893-z |
Pubmed ID | |
Authors |
G. Costa, M. Gildenhard, M. Eldering, R. L. Lindquist, A. E. Hauser, R. Sauerwein, C. Goosmann, V. Brinkmann, P. Carrillo-Bustamante, E. A. Levashina |
Abstract |
Malaria is a fatal human parasitic disease transmitted by a mosquito vector. Although the evolution of within-host malaria virulence has been the focus of many theoretical and empirical studies, the vector's contribution to this process is not well understood. Here, we explore how within-vector resource exploitation would impact the evolution of within-host Plasmodium virulence. By combining within-vector dynamics and malaria epidemiology, we develop a mathematical model, which predicts that non-competitive parasitic resource exploitation within-vector restricts within-host parasite virulence. To validate our model, we experimentally manipulate mosquito lipid trafficking and gauge within-vector parasite development and within-host infectivity and virulence. We find that mosquito-derived lipids determine within-host parasite virulence by shaping development (quantity) and metabolic activity (quality) of transmissible sporozoites. Our findings uncover the potential impact of within-vector environment and vector control strategies on the evolution of malaria virulence. |
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Geographical breakdown
Country | Count | As % |
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United States | 3 | 12% |
Portugal | 1 | 4% |
Kenya | 1 | 4% |
Spain | 1 | 4% |
Germany | 1 | 4% |
Puerto Rico | 1 | 4% |
Australia | 1 | 4% |
Unknown | 11 | 44% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 11 | 44% |
Scientists | 8 | 32% |
Practitioners (doctors, other healthcare professionals) | 4 | 16% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
Geographical breakdown
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Unknown | 94 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 22 | 23% |
Researcher | 15 | 16% |
Student > Master | 10 | 11% |
Student > Bachelor | 8 | 9% |
Student > Postgraduate | 6 | 6% |
Other | 9 | 10% |
Unknown | 24 | 26% |
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Biochemistry, Genetics and Molecular Biology | 20 | 21% |
Immunology and Microbiology | 10 | 11% |
Environmental Science | 3 | 3% |
Medicine and Dentistry | 3 | 3% |
Other | 7 | 7% |
Unknown | 26 | 28% |