Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Philos Trans R Soc Lond B Biol Sci. 2020 May 11;375(1798):20190242. doi: 10.1098/rstb.2019.0242. Epub 2020 Mar 23.
Soil bacterial communities are altered by anthropogenic drivers such as climate change-related warming and fertilization. However, we lack a predictive understanding of how bacterial communities respond to such global changes. Here, we tested whether phylogenetic information might be more predictive of the response of bacterial taxa to some forms of global change than others. We analysed the composition of soil bacterial communities from perturbation experiments that simulated warming, drought, elevated CO concentration and phosphorus (P) addition. Bacterial responses were phylogenetically conserved to all perturbations. The phylogenetic depth of these responses varied minimally among the types of perturbations and was similar when merging data across locations, implying that the context of particular locations did not affect the phylogenetic pattern of response. We further identified taxonomic groups that responded consistently to each type of perturbation. These patterns revealed that, at the level of family and above, most groups responded consistently to only one or two types of perturbations, suggesting that traits with different patterns of phylogenetic conservation underlie the responses to different perturbations. We conclude that a phylogenetic approach may be useful in predicting how soil bacterial communities respond to a variety of global changes. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.
土壤细菌群落受到人为驱动因素的影响，如与气候变化相关的变暖以及施肥。然而，我们缺乏对细菌群落如何响应这些全球变化的预测性理解。在这里，我们测试了系统发育信息是否比其他信息更能预测细菌分类群对某些形式的全球变化的响应。我们分析了模拟变暖、干旱、CO 浓度升高和磷（P）添加的扰动实验中土壤细菌群落的组成。细菌对所有扰动的反应在系统发育上是保守的。这些反应的系统发育深度在不同的扰动类型之间变化很小，并且在跨地点合并数据时相似，这意味着特定地点的背景并不影响反应的系统发育模式。我们进一步确定了对每种类型的扰动都有一致反应的分类群。这些模式表明，在科及以上水平，大多数群体仅对一种或两种类型的扰动有一致的反应，这表明不同模式的系统发育保守性下的特征导致了对不同扰动的反应。我们得出结论，系统发育方法可能有助于预测土壤细菌群落对各种全球变化的反应。本文是主题为“微生物群落生态学的概念挑战”的特刊的一部分。
