Oyserman Ben O, Cordovez Viviane, Flores Stalin Sarango, Leite Marcio F A, Nijveen Harm, Medema Marnix H, Raaijmakers Jos M
Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, Netherlands.
Bioinformatics Group, Wageningen University & Research, Wageningen, Netherlands.
Front Microbiol. 2021 Jan 12;11:574053. doi: 10.3389/fmicb.2020.574053. eCollection 2020.
One of the fundamental tenets of biology is that the phenotype of an organism () is determined by its genotype (), the environment (), and their interaction (). Quantitative phenotypes can then be modeled as = + + + , where is the biological variance. This simple and tractable model has long served as the basis for studies investigating the heritability of traits and decomposing the variability in fitness. The importance and contribution of microbe interactions to a given host phenotype is largely unclear, nor how this relates to the traditional GE model. Here we address this fundamental question and propose an expansion of the original model, referred to as GEM, which explicitly incorporates the contribution of the microbiome () to the host phenotype, while maintaining the simplicity and tractability of the original GE model. We show that by keeping host, environment, and microbiome as separate but interacting variables, the GEM model can capture the nuanced ecological interactions between these variables. Finally, we demonstrate with an experiment how the GEM model can be used to statistically disentangle the relative contributions of each component on specific host phenotypes.
生物学的一个基本原理是,生物体的表型()由其基因型()、环境()及其相互作用()决定。然后,定量表型可以建模为 = + + + ,其中 是生物方差。这个简单且易于处理的模型长期以来一直是研究性状遗传性和分解适合度变异性的基础。微生物相互作用对给定宿主表型的重要性和贡献在很大程度上尚不清楚,也不清楚这与传统的GE模型有何关系。在这里,我们解决这个基本问题,并提出对原始模型的扩展,称为GEM,它明确纳入了微生物组()对宿主表型的贡献,同时保持了原始GE模型的简单性和易处理性。我们表明,通过将宿主、环境和微生物组作为单独但相互作用的变量,GEM模型可以捕捉这些变量之间细微的生态相互作用。最后,我们通过一个实验证明了GEM模型如何用于统计分解每个组分对特定宿主表型的相对贡献。