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海绵微生物组计划。

The sponge microbiome project.

机构信息

Centre for Marine Bio-Innovation and School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, 2052, Australia.

Department of Pediatrics, University of California - San Diego, La Jolla, CA 92093, USA.

出版信息

Gigascience. 2017 Oct 1;6(10):1-7. doi: 10.1093/gigascience/gix077.

Abstract

Marine sponges (phylum Porifera) are a diverse, phylogenetically deep-branching clade known for forming intimate partnerships with complex communities of microorganisms. To date, 16S rRNA gene sequencing studies have largely utilised different extraction and amplification methodologies to target the microbial communities of a limited number of sponge species, severely limiting comparative analyses of sponge microbial diversity and structure. Here, we provide an extensive and standardised dataset that will facilitate sponge microbiome comparisons across large spatial, temporal, and environmental scales. Samples from marine sponges (n = 3569 specimens), seawater (n = 370), marine sediments (n = 65) and other environments (n = 29) were collected from different locations across the globe. This dataset incorporates at least 268 different sponge species, including several yet unidentified taxa. The V4 region of the 16S rRNA gene was amplified and sequenced from extracted DNA using standardised procedures. Raw sequences (total of 1.1 billion sequences) were processed and clustered with (i) a standard protocol using QIIME closed-reference picking resulting in 39 543 operational taxonomic units (OTU) at 97% sequence identity, (ii) a de novo clustering using Mothur resulting in 518 246 OTUs, and (iii) a new high-resolution Deblur protocol resulting in 83 908 unique bacterial sequences. Abundance tables, representative sequences, taxonomic classifications, and metadata are provided. This dataset represents a comprehensive resource of sponge-associated microbial communities based on 16S rRNA gene sequences that can be used to address overarching hypotheses regarding host-associated prokaryotes, including host specificity, convergent evolution, environmental drivers of microbiome structure, and the sponge-associated rare biosphere.

摘要

海洋海绵(多孔动物门)是一个多样化的、分支深的进化枝,以与复杂的微生物群落形成亲密伙伴关系而闻名。迄今为止,16S rRNA 基因测序研究主要利用不同的提取和扩增方法来针对有限数量的海绵物种的微生物群落,严重限制了海绵微生物多样性和结构的比较分析。在这里,我们提供了一个广泛而标准化的数据集,将促进在大的空间、时间和环境尺度上对海绵微生物组进行比较。来自海洋海绵(n = 3569 个标本)、海水(n = 370)、海洋沉积物(n = 65)和其他环境(n = 29)的样本从全球不同地点采集。该数据集至少包含 268 种不同的海绵物种,包括一些尚未鉴定的分类群。使用标准程序从提取的 DNA 中扩增和测序 16S rRNA 基因的 V4 区。原始序列(总共 11 亿个序列)经过处理,并使用(i)使用 QIIME 封闭参考挑选的标准协议进行聚类,产生 39543 个操作分类单位(OTU),序列同一性为 97%,(ii)使用 Mothur 进行从头聚类,产生 518246 个 OTU,以及(iii)新的高分辨率 Deblur 协议,产生 83908 个独特的细菌序列。提供了丰度表、代表序列、分类学分类和元数据。该数据集代表了基于 16S rRNA 基因序列的海绵相关微生物群落的综合资源,可用于解决关于宿主相关原核生物的总体假设,包括宿主特异性、趋同进化、微生物组结构的环境驱动因素以及海绵相关的稀有生物界。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e00/5632291/e0c458208867/gix077fig1.jpg

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