Program in Computational Biology, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA.
Mol Syst Biol. 2011 Apr 12;7:483. doi: 10.1038/msb.2011.16.
Social interaction among cells is essential for multicellular complexity. But how do molecular networks within individual cells confer the ability to interact? And how do those same networks evolve from the evolutionary conflict between individual- and population-level interests? Recent studies have dissected social interaction at the molecular level by analyzing both synthetic and natural microbial populations. These studies shed new light on the role of population structure for the evolution of cooperative interactions and revealed novel molecular mechanisms that stabilize cooperation among cells. New understanding of populations is changing our view of microbial processes, such as pathogenesis and antibiotic resistance, and suggests new ways to fight infection by exploiting social interaction. The study of social interaction is also challenging established paradigms in cancer evolution and immune system dynamics. Finding similar patterns in such diverse systems suggests that the same 'social interaction motifs' may be general to many cell populations.
细胞间的社会互动对于多细胞生物的复杂性至关重要。但是，单个细胞内的分子网络如何赋予其相互作用的能力？同样的网络又是如何在个体和群体利益之间的进化冲突中进化而来的呢？最近的研究通过分析合成和自然微生物群体，从分子水平上剖析了社会互动。这些研究揭示了群体结构在合作相互作用进化中的作用，并揭示了稳定细胞间合作的新的分子机制。对群体的新认识正在改变我们对微生物过程（如发病机制和抗生素耐药性）的看法，并为通过利用社会互动来对抗感染提供了新的方法。社会互动的研究也对癌症进化和免疫系统动力学的既定范式提出了挑战。在如此多样化的系统中发现类似的模式表明，相同的“社会互动模式”可能对许多细胞群体普遍适用。
