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Fungal community structure at pelagic and littoral sites in Lake Biwa determined with high-throughput sequencing

机译:琵琶湖湖泊和沿海网站的真菌群落结构,用高通量测序确定

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摘要

Fungi may play an important role in material cycling in lakes and oceans; however, only limited information is available on fungal community structure, especially in large lakes such as Lake Biwa. In this study, whole fungal communities were determined seasonally and spatially using a high-throughput sequencing technique. Water samples were collected from the epilimnion, 0-20 m depth, with a Van Dorn sampler at a pelagic site and from the surface at a littoral site in the north basin of Lake Biwa. All pelagic depth samples were combined into one sample. Sampling occurred on 24 April, 22 May, 10 July, and 16 September 2015. DNA was extracted from filtered samples. Metabarcoding analysis targeting fungi-specific internal transcribed spacer 2 regions was performed using an Illumina MiSeq platform. Epilimnetic fungal communities showed high diversity, with 479 operational taxonomic units (OTUs). The OTUs included 122 belonging to the phylum Ascomycota, 127 to Basidiomycota, 38 to Zygomycota, 45 to Chytridiomycota, 2 to Glomeromycota, and 145 were unclassified fungi. Fungal community structures varied seasonally and spatially. Few of the fungal OTUs overlapped between seasons and sites, and specific communities of fungi were detected on each sampling occasion. Results indicated that spatio-temporal variations in fungal communities were high and may be influenced by both internal factors and external factors, such as terrestrial inputs.
机译:真菌可能在湖泊和海洋骑自行车中发挥重要作用;然而,在真菌群落结构上只有有限的信息,特别是在大湖泊之类的大湖泊中,如琵琶湖。在这项研究中,使用高通量测序技术季节性和空间地确定整个真菌社区。将水样从癫痫症,0-20米深度收集水样,在骨盆位点,van Dorn采样器和湖北河北盆地的沿景点的表面。将所有牙龈深度样品组合成一个样品。抽样发生在4月24日,7月22日,7月10日,和2015年9月16日。从过滤的样品中提取DNA。使用Illumina MiSeq平台进行靶向真菌的内部转录间隔物2区域的靶向靶向靶向靶标转录的间隔物2区域。癫痫真菌社区表现出高多样性,479个运营分类单位(Otus)。 oTus包括122个属于ascomycota,127至碱霉菌,38至Zygomycota,45至Chytridiomycota,2至肾小球菌,145个是未甲状腺的真菌。真菌群落结构季节性和空间变化。在每个抽样场合检测到季节和景点之间重叠的真菌OTU和特定的真菌社区的少数。结果表明,真菌社区的时空变化高,可能受到内部因素和外部因素的影响,如陆地投入。

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