最小代谢网络的进化中的机会和必要性
Csaba Pál1, Balázs Papp, Martin J Lercher
1European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69012 Heidelberg, Germany.
Nature
|March 31, 2006
概括
从生活方式中预测细菌基因含量是可能的. 模拟表明,生物体的缩小基因组和新陈代谢可以根据其进化历史和当前环境准确地建模.
科学领域:
- 进化生物学 进化生物学
- 基因组学就是基因组学.
- 系统生物学 系统生物学
背景情况:
- 生物的生活方式可以从基因内容中推断出来.
- 反之,预测基因含量从生活方式,是探索.
- 内共生细菌具有缩小的基因组,使它们成为理想的模型.
研究的目的:
- 为了调查一个生物体的基因含量是否可以从其生活方式中预测.
- 为了模拟内共生细菌中减少基因组的进化.
- 评估意外性在代谢途径演变中的作用.
主要方法:
- 使用大肠杆菌的代谢网络进行基因损失的模拟.
- 在控制环境因素的同时,重复模拟基因丢失.
- 模拟特定细菌系的进化 (Buchnera aphidicola,Wigglesworthia glossinidia) 的模型.
主要成果:
- 由此产生的最小代谢网络因偶然性而在基因含量和数量上有所不同.
- 核心新陈代谢被保存,这在细胞内细菌中很常见.
- 预测了特定细菌的基因内容进化,准确度超过80%.
结论:
- 减少基因组中的基因内容进化受选择力和偶然性影响.
- 生活方式和环境条件是细菌基因含量的重要预测因素.
- 从祖先的信息和当前的生活方式来预测基因含量是可行的.
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