ArticleBMC genomics2015
Is the whole greater than the sum of its parts? De novo assembly strategies for bacterial genomes based on paired-end sequencing.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Geographic diversity of theFrontiers in veterinary science · 2025Article
- An overlooked phenomenon: complex interactions of potential error sources on the quality of bacterial de novo genome assemblies.BMC genomics · 2024Article
- Optimization of enzymatic fragmentation is crucial to maximize genome coverage: a comparison of library preparation methods for Illumina sequencing.BMC genomics · 2022Article
- Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations.Microbial genomics · 2021Article
- Article
- A Primer on Infectious Disease Bacterial Genomics.Clinical microbiology reviews · 2016Review
- Greater thanPeerJ · 2016Article
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Authors and funding
11 authors.
Funding
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Abstract
backgroundWhole genome sequence construction is becoming increasingly feasible because of advances in next generation sequencing (NGS), including increasing throughput and read length. By simply overlapping paired-end reads, we can obtain longer reads with higher accuracy, which can facilitate the assembly process. However, the influences of different library sizes and assembly methods on paired-end sequencing-based de novo assembly remain poorly understood.
resultsWe used 250 bp Illumina Miseq paired-end reads of different library sizes generated from genomic DNA from Escherichia coli DH1 and Streptococcus parasanguinis FW213 to compare the assembly results of different library sizes and assembly approaches. Our data indicate that overlapping paired-end reads can increase read accuracy but sometimes cause insertion or deletions. Regarding genome assembly, merged reads only outcompete original paired-end reads when coverage depth is low, and larger libraries tend to yield better assembly results. These results imply that distance information is the most critical factor during assembly. Our results also indicate that when depth is sufficiently high, assembly from subsets can sometimes produce better results.
conclusionsIn summary, this study provides systematic evaluations of de novo assembly from paired end sequencing data. Among the assembly strategies, we find that overlapping paired-end reads is not always beneficial for bacteria genome assembly and should be avoided or used with caution especially for genomes containing high fraction of repetitive sequences. Because increasing numbers of projects aim at bacteria genome sequencing, our study provides valuable suggestions for the field of genomic sequence construction.
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