Kevorkian Richard, Bird Jordan T, Shumaker Alexander, Lloyd Karen G
Department of Microbiology, University of Tennessee, Knoxville, Tennessee, USA.
Department of Microbiology, University of Tennessee, Knoxville, Tennessee, USA
Appl Environ Microbiol. 2017 Dec 15;84(1). doi: 10.1128/AEM.01443-17. Print 2018 Jan 1.
The difficulty involved in quantifying biogeochemically significant microbes in marine sediments limits our ability to assess interspecific interactions, population turnover times, and niches of uncultured taxa. We incubated surface sediments from Cape Lookout Bight, North Carolina, USA, anoxically at 21°C for 122 days. Sulfate decreased until day 68, after which methane increased, with hydrogen concentrations consistent with the predicted values of an electron donor exerting thermodynamic control. We measured turnover times using two relative quantification methods, quantitative PCR (qPCR) and the product of 16S gene read abundance and total cell abundance (FRAxC, which stands for "fraction of read abundance times cells"), to estimate the population turnover rates of uncultured clades. Most 16S rRNA reads were from deeply branching uncultured groups, and ∼98% of 16S rRNA genes did not abruptly shift in relative abundance when sulfate reduction gave way to methanogenesis. Uncultured and increased at the onset of methanogenesis with population turnover times estimated from qPCR at 9.7 ± 3.9 and 12.6 ± 4.1 days, respectively. These were consistent with FRAxC turnover times of 9.4 ± 5.8 and 9.2 ± 3.5 days, respectively. Uncultured , which are possibly fermentative syntrophs of methanogens, and uncultured Kazan-3A-21 archaea also increased at the onset of methanogenesis, with FRAxC turnover times of 14.7 ± 6.9 and 10.6 ± 3.6 days. Kazan-3A-21 may therefore either perform methanogenesis or form a fermentative syntrophy with methanogens. Three genera of sulfate-reducing bacteria, , , and , increased in the first 19 days before declining rapidly during sulfate reduction. We conclude that population turnover times on the order of days can be measured robustly in organic-rich marine sediment, and the transition from sulfate-reducing to methanogenic conditions stimulates growth only in a few clades directly involved in methanogenesis, rather than in the whole microbial community. Many microbes cannot be isolated in pure culture to determine their preferential growth conditions and predict their response to changing environmental conditions. We created a microcosm of marine sediments that allowed us to simulate a diagenetic profile using a temporal analog for depth. This allowed for the observation of the microbial community population dynamics caused by the natural shift from sulfate reduction to methanogenesis. Our research provides evidence for the population dynamics of uncultured microbes as well as the application of a novel method of turnover rate analysis for individual taxa within a mixed incubation, FRAxC, which stands for "fraction of read abundance times cells," which was verified by quantitative PCR. This allows for the calculation of population turnover times for microbes in a natural setting and the identification of uncultured clades involved in geochemical processes.
量化海洋沉积物中具有生物地球化学意义的微生物存在困难,这限制了我们评估种间相互作用、种群周转时间以及未培养分类群生态位的能力。我们对美国北卡罗来纳州瞭望角湾的表层沉积物进行了厌氧培养,在21°C下培养122天。硫酸盐在第68天之前减少,之后甲烷增加,氢气浓度与作为电子供体发挥热力学控制作用的预测值一致。我们使用两种相对定量方法——定量聚合酶链反应(qPCR)以及16S基因读数丰度与总细胞丰度的乘积(FRAxC,即“读数丰度乘以细胞的分数”)来测量周转时间,以估计未培养进化枝的种群周转率。大多数16S rRNA读数来自深度分支的未培养类群,并且当硫酸盐还原让位于甲烷生成时,约98%的16S rRNA基因相对丰度并未突然改变。未培养的 和 在甲烷生成开始时增加,通过qPCR估计的种群周转时间分别为9.7±3.9天和12.6±4.1天。这些分别与FRAxC周转时间9.4±5.8天和9.2±3.5天一致。可能作为产甲烷菌发酵性互营菌的未培养的 以及未培养的喀山-3A-21古菌在甲烷生成开始时也增加,FRAxC周转时间分别为14.7±6.9天和10.6±3.6天。因此,喀山-3A-21可能进行甲烷生成,或者与产甲烷菌形成发酵性互营关系。三类硫酸盐还原细菌,即 、 和 ,在最初的19天内增加,然后在硫酸盐还原期间迅速减少。我们得出结论,在富含有机物的海洋沉积物中可以可靠地测量以天为单位的种群周转时间,并且从硫酸盐还原到甲烷生成条件的转变仅刺激了少数直接参与甲烷生成进化枝的生长,而不是整个微生物群落。许多微生物无法在纯培养中分离出来以确定其优先生长条件并预测其对不断变化的环境条件的反应。我们创建了一个海洋沉积物微观世界,使我们能够使用深度的时间模拟来模拟成岩剖面。这使得我们能够观察由从硫酸盐还原到甲烷生成的自然转变所引起的微生物群落种群动态。我们的研究为未培养微生物的种群动态以及在混合培养中针对单个分类群的周转率分析新方法FRAxC(即“读数丰度乘以细胞的分数”)的应用提供了证据,该方法通过定量PCR得到验证。这使得我们能够计算自然环境中微生物的种群周转时间,并识别参与地球化学过程的未培养进化枝。