UMR CNRS 7138 Systématique, Adaptation, Evolution, Université Pierre et Marie Curie, Paris, France.
Clin Microbiol Infect. 2012 Jul;18 Suppl 4:40-3. doi: 10.1111/j.1469-0691.2012.03856.x.
In order to study complex microbial communities and their associated mobile genetic elements, such as the human gut microbiome, evolutionists could explore their genetic diversity with shared sequence networks. In particular, the detection of remarkable structures in gene networks of the gut microbiome could serve to identify important functions within the community, and would ease comparison of data sets from microbiomes of various sources (human, ape, mouse etc.) in a single analysis.
为了研究复杂的微生物群落及其相关的移动遗传元件,例如人类肠道微生物组,进化生物学家可以使用共享序列网络来探索它们的遗传多样性。具体来说,在肠道微生物组的基因网络中检测到显著的结构,有助于识别群落内的重要功能,并且便于在单一分析中比较来自不同来源(人类、猿、鼠等)的微生物组数据集。