首页> 外文期刊>Journal of Mathematical Biology >Eigensolutions and spectral analysis of a model for vertical gene transfer of plasmids
【24h】

Eigensolutions and spectral analysis of a model for vertical gene transfer of plasmids

机译:质粒垂直基因转移模型的初期素和光谱分析

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Plasmids are autonomously replicating genetic elements in bacteria. At cell division, plasmids are distributed among the two daughter cells. This gene transfer from one generation to the next is called vertical gene transfer. We study the dynamics of a bacterial population carrying plasmids and are in particular interested in the long-time distribution of plasmids. Starting with a model for a bacterial population structured by the discrete number of plasmids, we proceed to the continuum limit in order to derive a continuous model. The model incorporates plasmid reproduction, division and death of bacteria, and distribution of plasmids at cell division. It is a hyperbolic integro-differential equation and a so-called growth-fragmentation-death model. As we are interested in the long-time distribution of plasmids we study the associated eigenproblem and show existence of eigensolutions. The stability of this solution is studied by analyzing the spectrum of the integro-differential operator given by the eigenproblem. By relating the spectrum with the spectrum of an integral operator we find a simple real dominating eigenvalue with a non-negative corresponding eigenfunction. Moreover, we describe an iterative method for the numerical construction of the eigenfunction.
机译:质粒是自主复制细菌中的遗传元素。在细胞分裂中,质粒分布在两个子细胞中。该基因从一代转移到下一代称为垂直基因转移。我们研究了携带质粒的细菌种群的动态,特别是对质粒的长期分布感兴趣。从模型开始为由离散数量的质粒构成的细菌种群,我们继续前列限制以获得连续模型。该模型包含细菌的质粒繁殖,分裂和死亡,以及细胞分裂中质粒的分布。它是一种双曲线积分微分方程和所谓的生长碎片 - 死亡模型。正如我们对血液质粒的长期分布感兴趣,我们研究相关的特征和表现出征兆的存在。通过分析特征分析给出的积分差分操作员的光谱来研究该解决方案的稳定性。通过将频谱与积分操作者的频谱相关联,我们发现具有非负对相应的特征功能的简单真正的主导特征值。此外,我们描述了一种迭代方法,用于特征的数值构建。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号