The fitness landscape of a virus inferred based on a mathematical model of the population dynamics
| Project/Area Number |
20570223
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Evolutionary biology
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| Research Institution | Kochi University |
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Principal Investigator |
WATABE Teruaki Kochi University, 教育研究部・医療学系, 講師 (90325415)
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| Co-Investigator(Kenkyū-buntansha) |
岸野 洋久 東京大学, 農学生命科学研究科, 教授 (00141987)
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| Co-Investigator(Renkei-kenkyūsha) |
KISHINO Hirohis 東京大学, 農学生命科学研究科, 教授 (00141987)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 分子進化 / タンパク質複合体結合能 / ウイルス / 変異株 / 固定確率 / タンパク質構造 / 結合能 / アミノ酸置換 / 数理生物学 / 集団遺伝学 / ウィルス |
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| Research Abstract |
We examined how pleiotropic mutations that have antagonistic effects (i.e., antibody evasion vs. receptor binding) on viral replication within hosts can impact viral immune escape in the host population. To investigate the causal relation between a mutation in a viral genome and adaptive evolution of a viral population, we developed a mathematical model. Using population genetic theory, we evaluated the probability that a mutant is fixed in a host population. The mutations that can be fixed with high probabilities may determine how long a vaccine remains effective. We simulated the adaptive evolution of coronavirus, the etiological agent of severe acute respiratory syndrome, and showed that some of mutations may have high fixation probabilities in the vaccinated host population.
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Report
(4 results)
Research Products
(12 results)
