对酵母在酵母中可用性酶的原因和演变的代谢网络分析
Balázs Papp1, Csaba Pál, Laurence D Hurst
1Department of Biology and Biochemistry, University of Bath, BA2 7AY Bath, Somerset, UK.
Nature
|June 11, 2004
概括
许多酵母基因在实验室中看起来并不重要,但in silico模型显示大多数在特定条件下是重要的. 这解释了基因可用性,其中一些基因被重复或流量重组所补偿.
科学领域:
- 系统生物学 系统生物学
- 代谢网络分析代谢网络分析
- 酵母遗传学 酵母遗传学
背景情况:
- 在实验室条件下,80%的酵母基因似乎不必要.
- 基因可用性的机制基础尚不清楚,其中可能包括缓冲或偶然的副产品.
- 了解基因基本性对于系统生物学和理解细胞功能至关重要.
研究的目的:
- 调查酵母菌中基因可用性的机械基础.
- 确定缓冲,基因复制和代谢流量重组在基因本质性中的作用.
- 预测看似无用基因变得必不可少的条件.
主要方法:
- 使用了酵母代谢网络的in silico流量平衡模型.
- 经验证的模型预测与实验淘汰赛健身数据和体内流量相对应.
- 分析了基因重复和遗传学分布,以推断进化压力.
主要成果:
- 流量模型准确地预测了88%的基因的淘汰赛健身效应.
- 尚未在实验室中测试的环境条件解释了37-68%的基因的明显可用性.
- 基因重复补偿15-28%的可用基因,而流体重组缓冲4-17%.
结论:
- 酵母中明显的基因可用性主要是由于未经检查的环境条件下的基本性.
- 特定条件的基因表现出受限的家族遗传分布.
- 基因重复物更有可能保留在高酶流量中,而不是缓冲基本反应.
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