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Metagenomic analysis of the microbial community structure in protected wetlands in the Maritza River Basin

机译:Maritza River盆地保护湿地中微生物群落结构的Metagenomic分析

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Microbial communities drive the biogeochemical cycles in wetlands and provide a number of ecosystem services. They underpin soil function, and are easily impacted by anthropogenic pressure. This study examined the bacterial microbiome in the natural wetland of Zlato Pole and the protected, periodically flooded rice paddies in the Maritsa River Basin using a metagenomic approach, based on high-throughput sequencing. Alpha-diversity analysis showed a significant variation between the three study sites for Chao1 and ACE (abundance based coverage estimator) richness estimators. A positive correlation was established with pH, with highest values detected for the rice paddies and the lowest, for the Zlato Pole sediments. The obtained sequences were assigned into 37 known bacterial phyla with over 97% bacterial sequences classified within only nine of them. The bacterial communities in rice paddies sediments were more evenly distributed, whereas the Zlato Pole sediment was the most biased. The consortiums in the rice paddies were dominated by Proteobacteria , followed by Actinobacteria and Acidobacteria. The bacterial assemblages in those sites could not be distinguished by analysis of similarity. The Zlato Pole sediment community held an isolated position, where Acidobacteria was replaced by Firmicute s and Bacteroidetes and the microbiome showed an extremely high abundance of Gammaproteobacteria and Bacilli. The dominance of Gammaproteobacteria and the presence of Deinococcus-Thermus phylum, along lower nutrient concentration and the absence of correlation with the environmental parameters, is evidence of constant anthropogenic pressure around the area. The obtained results could be applied in the plans for sustainable management of the protected wetlands.
机译:微生物群落在湿地中驱动生物地球化学循环,并提供了许多生态系统服务。它们支撑着土壤功能,并且很容易受到人为压力的影响。本研究在Zlato Pole天然湿地和Maritsa River盆地的受保护的周期性淹水稻饼中的细菌微生物使用,基于高通量测序。 α-多样性分析显示了Chao1和ACE(基于丰富的覆盖估计)丰富估算器的三个研究网站之间的显着变化。为Zlato Pear沉积物的pH值建立了pH值的阳性相关性,对稻米粉末检测到最高值,最低值。将获得的序列分配到37种已知的细菌培养中,其具有超过97%的细菌序列,分类为其中九个。水稻粉末沉积物中的细菌社区更均匀分布,而Zlato极沉积物最偏向。稻田的联盟是由植物聚糖的主导,其次是抗菌菌和抗酸体。通过对相似性的分析,不能区分这些位点的细菌组合。 Zlato杆沉积物群落持有一个分离的位置,其中抗酸体被耐果实和菌体所取代,并且微生物组显示出极高丰富的伽血曲杆菌和杆菌。 γRoteobacteria的优势以及沿着较低营养浓度和与环境参数的相关性的耐毒致浓度的存在,是该地区周围恒定的人为压力的证据。获得的结果可用于保护受保护湿地的可持续管理计划。

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