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研究方法:ZOTU 与 OTU 和 ASV 的比较

特性 OTU(97% 聚类) ZOTU(UNOISE3) ASV(DADA2/Deblur)
定义方法 相似性聚类(阈值依赖) 100% 相似性,基于去噪 精确去噪,单碱基分辨率
分辨率 较低,可能合并相似物种 高,可区分单碱基差异 高,可区分单碱基差异
嵌合体处理 可能保留部分嵌合体 自动检测并移除嵌合体 自动检测并移除嵌合体
跨项目可比性 受阈值和工具影响 高,基于精确序列定义 高,基于精确序列定义
计算需求 较低 中等 较高
常用工具 VSEARCH、USEARCH、Mothur UNOISE3(USEARCH) DADA2、Deblur、QIIME 2
去噪方法 不去噪(基于聚类) 去噪(规则和经验方法) 去噪(统计模型)

Operational Taxonomic Units:OTUs

Amplicon Sequence Variants:ASVs, also known as Exact Sequence Variants (ESVs)

zero-radius OTUs:ZOTUs

bioinformatics pipeline

bmc

Li Z, Zhao W, Jiang Y, et al. New insights into biologic interpretation of bioinformatic pipelines for fish eDNA metabarcoding: A case study in Pearl River estuary[J]. Journal of Environmental Management, 2024, 368: 122136.

Hakimzadeh A, Abdala Asbun A, Albanese D, et al. A pile of pipelines: An overview of the bioinformatics software for metabarcoding data analyses[J]. Molecular Ecology Resources, 2024, 24(5): e13847.

ASV

MiFish pipeline

https://mitofish.aori.u-tokyo.ac.jp/mifish/help/

https://scikit.bio

conda install -c conda-forge scikit-bio

dada2_custom_fungal

https://github.com/thierroll/dada2_custom_fungal

nemabiome(dada2_ITS)

https://www.nemabiome.ca

ITS:https://www.nemabiome.ca/sequencing

16S rDNA V3-V4 amplicon sequencing analysis using dada2, phyloseq, LEfSe, picrust2 and other tools.16S rDNA V3-V4 amplicon sequencing analysis using dada2, phyloseq, LEfSe, picrust2 and other tools.

https://github.com/ycl6/16S-rDNA-V3-V4/

PICRUSt2

(Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) is a software for predicting functional abundances based only on marker gene sequences.

https://benjjneb.github.io/dada2/training.html

IDTAXA is part of the DECIPHER package

https://github.com/billzt/MiFish/tree/main

cd Docker/
docker build -t edna ./

16s rRNA demo data

These fastq files were generated by 2x250 Illumina Miseq amplicon sequencing of the V4 region of the 16S rRNA gene from gut samples collected longitudinally from a mouse post-weaning.

Download link:https://mothur.s3.us-east-2.amazonaws.com/wiki/miseqsopdata.zip

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