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16S rRNA gene amplicon dataset of prokaryotic communities from a subantarctic marine ecosystem: Ushuaia Bay and surrounding waters

机译:16S rRNA基因扩增子于小型海洋生态系统的原核群体的数据集:乌斯怀亚湾及周边水域

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We provide a 16S rRNA gene dataset of prokaryotic assemblages of a subantarctic marine ecosystem. Samples were collected at 2 stations (one near Ushuaia Bay and the other close to Bridges islands in the Beagle Channel). At each station, 2 depths (subsurface and bottom waters) were sampled in february, march, may and september during 2018, giving a total of 10 samples. 16S rRNA gene amplicon sequencing (V4 hypervariable region) was performed with the Illumina MiSeq platform. A total of 1116 amplicon sequence variants (ASVs) were recovered from the dataset. The sequences were taxonomically assigned to Alphaproteobacteria (23 ± 2%, mean ± standard error), Gammaproteobacteria (17 ± 1.5%), Flavobacteriia (8 ± 2%), Deltaproteobacteria (3.7 ± 0.5%), Acidimicrobiia (1.7 ± 0.1%), Planctomycetia (1.9 ± 0.4%), and AB16 group (1.7 ± 0.3%). Sequences affiliated with Archaea were abundant, reaching one third of analyzed sequences, mainly Thaumarchaeota (22 ± 3%), and Thermoplasmata (10 ± 1%). Together, sequences assigned to all these groups accounted for more than 90% of the sequences. This dataset constitutes a valuable resource for future scientific research aiming to unveil the role of these communities in ecosystem services such as carbon and nutrient cycling, and pollutants degradation. This will turn into benefits for future environmental monitoring and preservation actions, considering the tangible heritage of Ushuaia Bay and surrounding waters.
机译:我们提供了一个16S rRNA基因数据集的小型海洋生态系统的原核组合。在2站收集样品(乌斯怀亚湾附近的一个,另一个位于比格犬频道的桥梁岛附近)。在每站,2月,3月,5月和9月在2018年2月,2月份的2月份进行了抽样,总共有10个样品。 16S rRNA基因扩增子测序(V4高变区域)用Illumina Miseq平台进行。从数据集中恢复总共1116个扩增子序列变体(ASV)。将序列分类为αproteobacteria(23±2%,平均值±标准误差),γ-曲线杆菌(17±1.5%),黄杆菌(8±2%),deltaprobacteria(3.7±0.5%),酸化剂(1.7±0.1%) ,pancectomycetia(1.9±0.4%)和AB16组(1.7±0.3%)。与古痤疮隶属的序列很丰富,达到分析的序列中的三分之一,主要是ThaumarchaeoTa(22±3%)和热原虫(10±1%)。分配给所有这些组的序列占序列的90%以上。该数据集构成了未来科学研究的有价值的资源,旨在揭示这些社区在碳和营养循环等生态系统服务中的作用,以及污染物降解。考虑到乌斯怀亚湾和周围水域的有形遗产,这将变成未来的环境监测和保存行动的益处。

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