Rowe Annette, Urbanic Megan, Trutschel Leah, Shukle John, Druschel Gregory, Booth Michael
Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, United States.
Department of Earth Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IND, United States.
Front Microbiol. 2022 Feb 21;13:796018. doi: 10.3389/fmicb.2022.796018. eCollection 2022.
Methane emissions from aquatic ecosystems are increasingly recognized as substantial, yet variable, contributions to global greenhouse gas emissions. This is in part due to the challenge of modeling biologic parameters that affect methane emissions from a wide range of sediments. For example, the impacts of fish bioturbation on methane emissions in the literature have been shown to result in a gradient of reduced to enhanced emissions from sediments. However, it is likely that variation in experimental fish density, and consequently the frequency of bioturbation by fish, impacts this outcome. To explore how the frequency of disturbance impacts the levels of methane emissions in our previous work we quantified greenhouse gas emissions in sediment microcosms treated with various frequencies of mechanical disturbance, analogous to different levels of activity in benthic feeding fish. Greenhouse gas emissions were largely driven by methane ebullition and were highest for the intermediate disturbance frequency (disturbance every 7 days). The lowest emissions were for the highest frequency treatment (3 days). This work investigated the corresponding impacts of disturbance treatments on the microbial communities associated with producing methane. In terms of total microbial community structure, no statistical difference was observed in the total community structure of any disturbance treatment (0, 3, 7, and 14 days) or sediment depth (1 and 3 cm) measured. Looking specifically at methanogenic Archaea however, a shift toward greater relative abundance of a putatively oxygen-tolerant methanogenic phylotype ( Methanothrix paradoxum) was observed for the highest frequency treatments and at depths impacted by disturbance (1 cm). Notably, quantitative analysis of Methanothrix paradoxum demonstrated no change in abundance, suggesting disturbance negatively and preferentially impacted other methanogen populations, likely through oxygen exposure. This was further supported by a linear decrease in quantitative abundance of methanogens (assessed by qPCR of the gene), with increased disturbance frequency in bioturbated sediments (1 cm) as opposed to those below the zone of bioturbation (3 cm). However, total methane emissions were not simply a function of methanogen populations and were likely impacted by the residence time of methane in the lower frequency disturbance treatments. Low frequency mechanical disruption results in lower methane ebullition compared to higher frequency treatments, which in turn resulted in reduced overall methane release, likely through enhanced methanotrophic activities, though this could not be identified in this work. Overall, this work contributes to understanding how animal behavior may impact variation in greenhouse gas emissions and provides insight into how frequency of disturbance may impact emissions.
水生生态系统的甲烷排放日益被认为是全球温室气体排放的重要且多变的贡献因素。部分原因在于对影响广泛沉积物甲烷排放的生物学参数进行建模存在挑战。例如,文献中显示鱼类生物扰动对甲烷排放的影响导致沉积物排放从减少到增强呈现出一个梯度变化。然而,实验中鱼类密度的变化以及由此导致的鱼类生物扰动频率,可能会影响这一结果。为了探究干扰频率如何影响甲烷排放水平,在我们之前的工作中,我们对用不同频率机械干扰处理的沉积物微观世界中的温室气体排放进行了量化,这类似于底栖摄食鱼类不同水平的活动。温室气体排放主要由甲烷冒泡驱动,中间干扰频率(每7天干扰一次)时排放最高。最低排放出现在最高频率处理组(每3天干扰一次)。这项工作研究了干扰处理对与甲烷产生相关的微生物群落的相应影响。就总微生物群落结构而言,在任何干扰处理(0、3、7和14天)或测量的沉积物深度(1厘米和3厘米)的总群落结构中均未观察到统计学差异。然而,具体来看产甲烷古菌,在最高频率处理组以及受干扰影响的深度(1厘米)处,观察到一种假定的耐氧产甲烷菌型(奇异甲烷丝菌)的相对丰度向更高水平转变。值得注意的是,对奇异甲烷丝菌的定量分析表明其丰度没有变化,这表明干扰可能通过氧气暴露对其他产甲烷菌种群产生了负面且优先的影响。这在受生物扰动的沉积物(1厘米)中,随着干扰频率增加,产甲烷菌的定量丰度呈线性下降(通过该基因的定量聚合酶链反应评估),而在生物扰动区域以下(3厘米)的沉积物中则不然,这进一步证明了这一点。然而,总甲烷排放并非仅仅是产甲烷菌种群的函数,在较低频率干扰处理中,甲烷排放可能受甲烷停留时间的影响。与较高频率处理相比,低频机械干扰导致甲烷冒泡减少,这反过来又导致总体甲烷释放减少,可能是通过增强甲烷氧化活性实现的,尽管在这项工作中无法确定这一点。总体而言,这项工作有助于理解动物行为如何影响温室气体排放的变化,并深入了解干扰频率如何影响排放。