Wolfe Benjamin E
Department of Biology, Tufts University, Medford, Massachusetts, USA.
mSystems. 2018 Mar 27;3(2). doi: 10.1128/mSystems.00161-17. eCollection 2018 Mar-Apr.
As troves of microbiome sequencing data provide improved resolution of patterns of microbial diversity, new approaches are needed to understand what controls these patterns. Many microbial ecologists are using cultivated model microbial communities to address this challenge. These systems provide opportunities to identify drivers of microbiome assembly, but key challenges and limitations need to be carefully considered in their development, implementation, and interpretation. How well do model microbial communities mimic communities in terms of taxonomic diversity, trophic levels, intraspecific diversity, and the abiotic environment? What are the best ways to manipulate and measure inputs and outputs in model community experiments? In this perspective, I briefly address some of these challenges on the basis of our experience developing fermented food model communities. Future work integrating genetic and molecular approaches with cultivated model microbial communities will allow microbial ecology to develop a more mechanistic understanding of microbiome diversity.
随着大量微生物组测序数据提高了对微生物多样性模式的分辨率,需要新的方法来理解是什么控制了这些模式。许多微生物生态学家正在使用培养的模式微生物群落来应对这一挑战。这些系统为识别微生物组组装的驱动因素提供了机会,但在其开发、实施和解释过程中,需要仔细考虑关键挑战和局限性。模式微生物群落在分类多样性、营养水平、种内多样性和非生物环境方面对群落的模拟程度如何?在模式群落实验中,操纵和测量输入与输出的最佳方法是什么?在这篇观点文章中,我根据我们开发发酵食品模式群落的经验简要阐述其中一些挑战。未来将遗传和分子方法与培养的模式微生物群落相结合的工作,将使微生物生态学对微生物组多样性有更深入的机制理解。