With the omics tool, the challenges in understanding the microbial community functions are becoming more intriguing. It is the environment created scenario, which demands alignment of the different members of the community for the desired output leading to common condition for their survival. The resultant community pathways provide a broad umbrella of metabolic options giving the desired plasticity, which plays decision making role in the adaptation process. The initial step in community characterization must involve the discovery of key and core member of the community and monitoring the fluctuations in functional abundance over the space and time. The concept of entropy and metabolic fluxes must reflect the inner metabolic machinery of the taxon selection and route of functional operation in a community. The segregation of member based on their functional role and hierarchical level in the community must be an essential step to be followed by interaction mapping and measurement of metabolic fluxes to derive the flow of metabolites within the community. This conceptual framework and integrated omics tools with supported statistical modeling algorithm can help in bringing out finer details in the process of community functional adaptation in any given scenario.

中文翻译：

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微生物群落适应和功能的不同维度。

使用组学工具，了解微生物群落功能的挑战变得越来越引人入胜。这是环境创建的场景，它要求社区的不同成员协调一致以获得所需的输出，从而为他们的生存提供共同的条件。最终的社区途径提供了广泛的新陈代谢选择，从而提供了所需的可塑性，在适应过程中发挥了决策作用。社区表征的第一步必须包括发现社区的关键和核心成员，并监视空间和时间上功能丰富度的波动。熵和代谢通量的概念必须反映社区中分类单元选择的内部代谢机制和功能操作途径。基于成员在社区中的功能角色和等级级别进行的隔离必须是必不可少的步骤，随后必须进行相互作用作图和代谢通量的测量以得出社区内代谢物的流动。此概念框架和集成的组学工具以及受支持的统计建模算法可帮助在任何给定场景下的社区功能适应过程中提供更详细的信息。