16S and 18S rRNA Gene Metabarcoding Provide Congruent Information on the Responses of Sediment Communities to Eutrophication
16S and 18S rRNA Gene Metabarcoding Provide Congruent Information on the Responses of Sediment Communities to Eutrophication
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DOI：
10.3389/fmars.2021.708716
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发表时间：
2021-07-05
影响因子：
3.7
通讯作者：
Koho, Karoliina A.
中科院分区：
文献类型：
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作者：
Harrison, Jesse P.;Chronopoulou, Panagiota-Myrsini;Koho, Karoliina A.
细菌和真核生物群落的Metabarcoding分析已被提议作为环境影响评估的有效工具。然而，目前尚不清楚这些分析在多大程度上可以提供关于环境生态状况的相似或不同的信息。在这里，我们使用16S和18S rRNA基因编码来比较富营养化引起的沉积物细菌和真核生物群落结构的变化与一系列孔隙水、沉积物和底水地球化学变量的关系，使用从波罗的海群岛(波罗的海)一个前虹鱼养殖场附近的六个站获得的数据。这两种群落类型的结构变化与一组共同的变量相关，包括孔隙水氨氮浓度和沉积物深度综合耗氧率。基于距离的冗余分析表明，影响评估中通常使用的变量，如底层水营养盐浓度，解释群落结构的差异比选择替代变量(如孔隙水NH4+清单和沉积物深度综合O2消耗率)更少，因为它们的共线性较低(分别可解释高达40%对58%的差异)。在可能无法对细菌和真核生物群落进行分析的监测调查中，16S或18S rRNA基因元编码可以作为富营养化对更广泛的生态影响的可靠指标。
Metabarcoding analyses of bacterial and eukaryotic communities have been proposed as efficient tools for environmental impact assessment. It has been unclear, however, to which extent these analyses can provide similar or differing information on the ecological status of the environment. Here, we used 16S and 18S rRNA gene metabarcoding to compare eutrophication-induced shifts in sediment bacterial and eukaryotic community structure in relation to a range of porewater, sediment and bottom-water geochemical variables, using data obtained from six stations near a former rainbow trout farm in the Archipelago Sea (Baltic Sea). Shifts in the structure of both community types were correlated with a shared set of variables, including porewater ammonium concentrations and the sediment depth-integrated oxygen consumption rate. Distance-based redundancy analyses showed that variables typically employed in impact assessments, such as bottom water nutrient concentrations, explained less of the variance in community structure than alternative variables (e.g., porewater NH4+ inventories and sediment depth-integrated O2 consumption rates) selected due to their low collinearity (up to 40 vs. 58% of the variance explained, respectively). In monitoring surveys where analyses of both bacterial and eukaryotic communities may be impossible, either 16S or 18S rRNA gene metabarcoding can serve as reliable indicators of wider ecological impacts of eutrophication.