Department of Biology, Indiana University, Bloomington, Indiana, USA.
Department of Biology, Transylvania University, Lexington, Kentucky, USA.
Philos Trans R Soc Lond B Biol Sci. 2020 May 11;375(1798):20190243. doi: 10.1098/rstb.2019.0243. Epub 2020 Mar 23.
Much of Earth's biodiversity has the capacity to engage in dormancy, a reversible state of reduced metabolic activity. By increasing resilience to unfavourable conditions, dormancy leads to the accumulation of 'seed banks'. These reservoirs of genetic and phenotypic diversity should diminish the strength of environmental filtering and increase rates of dispersal. Although prevalent among single-celled organisms, evidence that dormancy influences patterns of microbial biogeography is lacking. We constructed geographical and environmental distance-decay relationships (DDRs) for the total (DNA) and active (RNA) portions of bacterial communities in a regional-scale 16S rRNA survey of forested ponds in Indiana, USA. As predicted, total communities harboured greater diversity and exhibited weaker DDRs than active communities. These observations were robust to random resampling and different community metrics. To evaluate the processes underlying the biogeographic patterns, we developed a platform of mechanistic models that used the geographical coordinates and environmental characteristics of our study system. Based on more than 10 simulations, our models approximated the empirical DDRs when there was strong environmental filtering along with the presence of long-lived seed banks. By contrast, the inclusion of dispersal generally decreased model performance. Together, our findings support recent theoretical predictions that seed banks can influence the biogeographic patterns of microbial communities. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.
地球的大部分生物多样性都具有休眠的能力,即代谢活动降低的可逆状态。通过提高对不利条件的适应能力,休眠会导致“种子库”的积累。这些遗传和表型多样性的储库应降低环境过滤的强度并增加扩散的速率。尽管在单细胞生物中很普遍,但休眠对微生物生物地理学模式的影响的证据尚缺乏。我们构建了美国印第安纳州森林池塘的区域尺度 16S rRNA 调查中细菌群落总(DNA)和活性(RNA)部分的地理和环境距离衰减关系(DDR)。正如预测的那样,总群落比活性群落具有更大的多样性,并表现出较弱的 DDR。这些观察结果在随机重采样和不同的群落指标下都是稳健的。为了评估生物地理模式背后的过程,我们开发了一个基于机制模型的平台,该平台使用了我们研究系统的地理坐标和环境特征。基于 10 多次模拟,当存在强烈的环境过滤和长期存在的种子库时,我们的模型可以近似经验 DDR。相比之下,扩散的包含通常会降低模型的性能。总之,我们的研究结果支持了休眠的种子库可以影响微生物群落的生物地理模式的理论预测。本文是主题为“微生物群落生态学中的概念挑战”的特刊的一部分。