基于新兴特征的基因组学模拟的海洋生物地化学
V J Coles1, M R Stukel2, M T Brooks3
1Horn Point Laboratory, University of Maryland Center for Environmental Science (UMCES), Post Office Box 775, Cambridge, MD 21613, USA. vcoles@umces.edu.
概括
现在的海洋生态系统模型模拟了元基因组和元转录组,
科学领域:
- 海洋微生物生态学
- 计算生物学
- 基因组和转录组模型
背景情况:
- 海洋生态系统模型越来越多地整合了代谢途径的基因组数据.
- 在直接比较这些模型与实证元基因组和元转录组数据方面存在差距.
- 模拟微生物群落的组合和功能是具有挑战性的.
研究的目的:
- 开发一种模拟元基因组和元转录组的新型模型,以便与观测数据进行直接比较.
- 在模型海洋生态系统中研究微生物群落聚集和生物地化学梯度的驱动因素.
- 评估基因功能分布与社区组成在塑造生态系统属性的作用.
主要方法:
- 开发了一个直接模拟元基因组和元转录组的计算模型.
- 随机分配的基因用于68个物种社区中的微生物模型.
- 在虚拟大西洋中模拟生态动态,包括基于健康的生物替代.
主要成果:
- 该模型自组织生成新兴社区基因组和转录组.
- 模拟始终产生了营养物质,基因组和转录组的真实垂直和水平梯度.
- 这些现实的模式不论在微生物中最初的基因功能分布如何,都出现了.
结论:
- 一个微生物群体内的基因功能的集体图书馆是其组装和生态化学功能的主要驱动力.
- 社区层面的基因库决定了生态系统的结构和梯度,而不是生物之间的具体分布.
- 这种建模方法为将基因组潜力与海洋环境中的生态系统功能联系起来提供了一个框架.
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