Computational estimation of sediment symbiotic bacterial structures of seagrasses overgrowing downstream of onshore aquaculture
Computational estimation of sediment symbiotic bacterial structures of seagrasses overgrowing downstream of onshore aquaculture
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DOI：
10.1016/j.envres.2022.115130
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发表时间：
2022-12-29
影响因子：
8.3
通讯作者：
Kikuchi, Jun
中科院分区：
文献类型：
--
作者：
Miyamoto, Hirokuni;Kawachi, Nobuhiro;Kikuchi, Jun
沿海海草草甸对蓝碳和水生生态系统服务至关重要。然而，由于水产养殖的扩大，这一生态系统遭受了严重的富营养化和破坏。因此，海草繁盛的方法仍在探索中。在这里，对49项关于陆上水产养殖设施周围海草和海藻分布的公共沿海调查数据进行了重新验证，并在陆上水产养殖设施下游的海岸附近发现了海草Zostera码头生长茂盛的特殊区域。为评价海草生长的底泥特性，对底泥进行了理化性质和细菌生态评价。对海草沉积物的化学性质评价证实，海草沉积物的总碳含量显著增加，锌含量显著降低。关联分析和线性判别分析改进了海草过度生长和非过度生长沉积物中指定的候选细菌。能量景观分析表明，海草沉积物共生菌群受养殖设施距离的影响较大，但其细菌数量呈现季节性波动。那里的细菌种群显示出黄杆菌目候选病原体的明显减少。此外，基于机器学习数据的结构方程建模和线性非高斯无环模型估计了海草生长的最佳沉积物共生细菌群：Lachnospiraceae和Ruminococcaceae家族作为肠道栖息细菌，Rhodobacteraceae作为光合细菌，Desulfobulbaceae作为调节氧气或硝酸盐还原和硫化物氧化的电缆细菌。这些观察结果赋予了对水产养殖中蓝碳和低致病性海洋生态系统至关重要的沉积物共生细菌结构的新视角。
Coastal seagrass meadows are essential in blue carbon and aquatic ecosystem services. However, this ecosystem has suffered severe eutrophication and destruction due to the expansion of aquaculture. Therefore, methods for the flourishing of seagrass are still being explored. Here, data from 49 public coastal surveys on the distribution of seagrass and seaweed around the onshore aquaculture facilities are revalidated, and an exceptional area where the seagrass Zostera marina thrives was found near the shore downstream of the onshore aquaculture facility. To evaluate the characteristics of the sediment for growing seagrass, physicochemical properties and bacterial ecological evaluations of the sediment were conducted. Evaluation of chemical properties in seagrass sediments confirmed a significant increase in total carbon and a decrease in zinc content. Association analysis and linear discriminant analysis refined bacterial candidates specified in seagrass overgrown-and nonovergrown-sediment. Energy landscape analysis indicated that the symbiotic bacterial groups of seagrass sediment were strongly affected by the distance close to the seagrass-growing aquaculture facility despite their bacterial population appearing to fluctuate seasonally. The bacterial population there showed an apparent decrease in the pathogen candidates belonging to the order Flavobacteriales. Moreover, structure equation modeling and a linear non-Gaussian acyclic model based on the machine learning data estimated an optimal sediment symbiotic bacte-rial group candidate for seagrass growth as follows: the Lachnospiraceae and Ruminococcaceae families as gut-inhabitant bacteria, Rhodobacteraceae as photosynthetic bacteria, and Desulfobulbaceae as cable bacteria modu-lating oxygen or nitrate reduction and oxidation of sulfide. These observations confer a novel perspective on the sediment symbiotic bacterial structures critical for blue carbon and low-pathogenic marine ecosystems in aquaculture.