Deduplication Improves Cost-Efficiency and Yields of De Novo Assembly and Binning of Shotgun Metagenomes in Microbiome Research

Author:

Zhang Zhiguo123ORCID,Zhang Lu23,Zhang Guoqing23,Zhao Ze23,Wang Hui23,Ju Feng2435ORCID

Affiliation:

1. College of Environmental and Resources Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China

2. Research Center for Industries of the Future, Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, Zhejiang Province, China

3. Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China

4. Center of Synthetic Biology and Integrated Bioengineering, School of Engineering, Westlake University, Hangzhou, Zhejiang Province, China

5. Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, China

Abstract

Duplicated reads in shotgun metagenomes are usually considered technical artifacts. Their presence in metagenomes would theoretically not only introduce bias into the quantitative analysis but also result in mistakes in the coverage profile, leading to adverse effects on or even failures in metagenomic assembly and binning, as the widely used metagenome assemblers and binners all need coverage information for graph partitioning and assembly binning, respectively.

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Research Center for Industries of the Future at Westlake University

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

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