965 resultados para q-bio.NC


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in Portuguese Agradecimentos A realização do trabalho foi possível devido ao auxílio financeiro das seguintes agências: Fundação Araucária, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior e Conselho Nacional de Desenvolvimento Científico e Tecnológico – Programa Ciência sem Fronteiras, processos número : 245377/2012-3 e 17656125.

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We wish to acknowledge the support of the Brazilian agencies: CNPq, CAPES, and FAPESP (2015/07311-7 and 2011/19296-1).

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10 pages, 5 figures, conference or other essential info Acknowledgments LK and JCS were supported by Blue Brain Project. P.D. and R.L. were supported in part by the Blue Brain Project and by the start-up grant of KH. Partial support for P.D. has been provided by the Advanced Grant of the European Research Council GUDHI (Geometric Understanding in Higher Dimensions). MS was supported by the SNF NCCR ”Synapsy”.

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Acknowledgements This study was possible by partial financial support from the following Brazilian government agencies: CNPq, CAPES, and FAPESP (2011/19296-1 and 2015/07311-7). We also wish thank Newton Fund and COFAP.

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We wish to acknowledge the support of the Brazilian agencies: CNPq, CAPES, and FAPESP (2015/07311-7 and 2011/19296-1).

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为了分析家猪与野猪的遗传多样性及起源, 测定了来自12 个中国地方家猪品种、3 个欧洲引进猪品种以 及8 个中国野猪和2 个越南野猪共36 个个体的酪氨酸酶基因( T YR) 外显子1 的序列,共检出6 个单核苷酸多态性 位点(SNPs) ,且这6 个位点的变异均为同义突变,根据这些变异可将酪氨酸酶基因DNA 序列归结为4 种单倍型。 结合已发表的数据,构建了简约中介网络图。在网络图中,单倍型T YR 3 2 主要为欧洲家猪与欧洲野猪和3 条亚洲 家猪染色体。大部分亚洲家猪和野猪共享单倍型T YR 3 1 ,表明这是1 个亚洲类型的单倍型;同时也有部分欧洲家 猪与野猪携带这一单倍型。而单倍型T YR 3 3 和T YR 3 4 为本研究检测到的稀有单倍型,这两种单倍型主要由中 国家猪与亚洲野猪组成。这种网络图结构支持家猪的欧洲和亚洲独立起源学说,同时也表明,相当部分的欧洲家 猪品种受到亚洲猪的基因渗透,而少量中国家猪和日本野猪也受到了欧洲猪的基因渗透。

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The dynamics of a population undergoing selection is a central topic in evolutionary biology. This question is particularly intriguing in the case where selective forces act in opposing directions at two population scales. For example, a fast-replicating virus strain outcompetes slower-replicating strains at the within-host scale. However, if the fast-replicating strain causes host morbidity and is less frequently transmitted, it can be outcompeted by slower-replicating strains at the between-host scale. Here we consider a stochastic ball-and-urn process which models this type of phenomenon. We prove the weak convergence of this process under two natural scalings. The first scaling leads to a deterministic nonlinear integro-partial differential equation on the interval $[0,1]$ with dependence on a single parameter, $\lambda$. We show that the fixed points of this differential equation are Beta distributions and that their stability depends on $\lambda$ and the behavior of the initial data around $1$. The second scaling leads to a measure-valued Fleming-Viot process, an infinite dimensional stochastic process that is frequently associated with a population genetics.

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The dynamics of a population undergoing selection is a central topic in evolutionary biology. This question is particularly intriguing in the case where selective forces act in opposing directions at two population scales. For example, a fast-replicating virus strain outcompetes slower-replicating strains at the within-host scale. However, if the fast-replicating strain causes host morbidity and is less frequently transmitted, it can be outcompeted by slower-replicating strains at the between-host scale. Here we consider a stochastic ball-and-urn process which models this type of phenomenon. We prove the weak convergence of this process under two natural scalings. The first scaling leads to a deterministic nonlinear integro-partial differential equation on the interval $[0,1]$ with dependence on a single parameter, $\lambda$. We show that the fixed points of this differential equation are Beta distributions and that their stability depends on $\lambda$ and the behavior of the initial data around $1$. The second scaling leads to a measure-valued Fleming-Viot process, an infinite dimensional stochastic process that is frequently associated with a population genetics.

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