Amplicon sequence variant-based meiofaunal community composition revealed by DADA2 tool is compatible with species composition

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Zoya Harbuzov , Valeria Farberova , Moshe Tom , Alberto Pallavicini , David Stanković , Tamar Lotan , Hadas Lubinevsky
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引用次数: 1

Abstract

The present study is aimed at implementing the morphological identification-free amplicon sequence variant (ASV) concept for describing meiofaunal species composition, while strongly indicating reasonable compatibility with the underlying species. A primer pair was constructed and demonstrated to PCR amplify a 470–490 bp 18S barcode from a variety of meiofaunal taxa, high throughput sequenced using the Illumina 300 × 2 bps platform. Sixteen 18S multi-species HTS assemblies were created from meiofaunal samples and merged to one assembly of ~2,150,000 reads. Five quality scores (q = 35, 30, 25, 20, 15) were implemented to filter five 18S barcode assemblies, which served as inputs for the DADA2 software, ending with five reference ASV libraries. Each of these libraries was clustered, applying 3% dissimilarity threshold, revealed an average number of 1.38 ± 0.078 ASVs / cluster. Hence, demonstrating high level of ASV uniqueness. The libraries which were based on q ≤ 25 reached a near-asymptote number of ASVs which together with the low average number of ASVs / cluster, strongly indicated fair representation of the actual number of the underlying species. Hence, the q = 25 library was selected to be used as metabarcoding reference library. It contained 461 ASVs and 342–3% clusters with average number of 1.34 ± 1.036 ASV / cluster and their BLASTN annotation elucidated a variety of expected meiofaunal taxa. The sixteen assemblies of sample-specific paired reads were mapped to this reference library and sample ASV profiles, namely the list of ASVs and their proportional copy numbers were created and clustered.

DADA2工具显示的基于扩增子序列变异的群落组成与物种组成基本一致
本研究旨在将形态识别-free扩增子序列变异(ASV)概念应用于描述少系物种组成,同时强烈表明与下层物种的合理相容性。构建引物对,利用Illumina 300 × 2 bps平台进行高通量测序,扩增出470-490 bp的18S条形码。从少量的样品中创建了16个18S多物种HTS序列,并将其合并为一个约2,150,000个reads的组装。采用5个质量分数(q = 35,30,25,20,15)筛选5个18S条形码组件,作为DADA2软件的输入,以5个参考ASV库结束。采用3%的差异阈值对每个库进行聚类,平均数量为1.38 ± 0.078个asv /聚类。因此,显示出高度的ASV独特性。基于q ≤ 25的库达到了asv的近渐近线数量,加上asv /聚类的平均数量较低,强烈表明了潜在物种的实际数量的公平代表。因此,选择q = 25库作为元条形码参考库。共包含461个ASV和342-3%的聚类,平均数量为1.34 ± 1.036个ASV /聚类,它们的BLASTN注释阐明了多种预期的小区系分类群。将16个样本特异性配对reads片段映射到该参考库中,并创建样本ASV配置文件,即ASV列表及其比例拷贝数并聚类。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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