Dataset Information

De novo assembly of middle-sized genome using MinION and Illumina sequencers.

ABSTRACT: BACKGROUND:The plastid acquisition by secondary endosymbiosis is a driving force for the algal evolution, and the comparative genomics was required to examine the genomic change of symbiont. Therefore, we established a pipeline of a de novo assembly of middle-sized genomes at a low cost and with high quality using long and short reads. RESULTS:We sequenced symbiotic algae Chlorella variabilis using Oxfofrd Nanopore MinION as the long-read sequencer and Illumina HiSeq 4000 as the short-read sequencer and then assembled the genomes under various conditions. Subsequently, we evaluated these assemblies by the gene model quality and RNA-seq mapping rate. We found that long-read only assembly could not be suitable for the comparative genomics studies, but with short reads, we could obtain the acceptable assembly. On the basis of this result, we established the pipeline of de novo assembly for middle-sized algal genome using MinION. CONCLUSIONS:The genomic change during the early stages of plastid acquisition can now be revealed by sequencing and comparing many algal genomes. Moreover, this pipeline offers a solution for the assembly of various middle-sized eukaryotic genomes with high-quality and ease.

SUBMITTER: Minei R

PROVIDER: S-EPMC6154909 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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De novo assembly of middle-sized genome using MinION and Illumina sequencers.

Minei Ryuhei R Hoshina Ryo R Ogura Atsushi A

BMC genomics 20180924 1

<h4>Background</h4>The plastid acquisition by secondary endosymbiosis is a driving force for the algal evolution, and the comparative genomics was required to examine the genomic change of symbiont. Therefore, we established a pipeline of a de novo assembly of middle-sized genomes at a low cost and with high quality using long and short reads.<h4>Results</h4>We sequenced symbiotic algae Chlorella variabilis using Oxfofrd Nanopore MinION as the long-read sequencer and Illumina HiSeq 4000 as the s ...[more]

PMID: 30249180

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Project description:BackgroundSeveral standalone error correction tools have been proposed to correct sequencing errors in Illumina data in order to facilitate de novo genome assembly. However, in a recent survey, we showed that state-of-the-art assemblers often did not benefit from this pre-correction step. We found that many error correction tools introduce new errors in reads that overlap highly repetitive DNA regions such as low-complexity patterns or short homopolymers, ultimately leading to a more fragmented assembly.ResultsWe propose BrownieCorrector, an error correction tool for Illumina sequencing data that focuses on the correction of only those reads that overlap short DNA patterns that are highly repetitive in the genome. BrownieCorrector extracts all reads that contain such a pattern and clusters them into different groups using a community detection algorithm that takes into account both the sequence similarity between overlapping reads and their respective paired-end reads. Each cluster holds reads that originate from the same genomic region and hence each cluster can be corrected individually, thus providing a consistent correction for all reads within that cluster.ConclusionsBrownieCorrector is benchmarked using six real Illumina datasets for different eukaryotic genomes. The prior use of BrownieCorrector improves assembly results over the use of uncorrected reads in all cases. In comparison with other error correction tools, BrownieCorrector leads to the best assembly results in most cases even though less than 2% of the reads within a dataset are corrected. Additionally, we investigate the impact of error correction on hybrid assembly where the corrected Illumina reads are supplemented with PacBio data. Our results confirm that BrownieCorrector improves the quality of hybrid genome assembly as well. BrownieCorrector is written in standard C++11 and released under GPL license. BrownieCorrector relies on multithreading to take advantage of multi-core/multi-CPU systems. The source code is available at https://github.com/biointec/browniecorrector .

Project description:MotivationThere are very few methods for de novo genome assembly based on the overlap graph approach. It is considered as giving more exact results than the so-called de Bruijn graph approach but in much greater time and of much higher memory usage. It is not uncommon that assembly methods involving the overlap graph model are not able to successfully compute greater datasets, mainly due to memory limitation of a computer. This was the reason for developing in last decades mainly de Bruijn-based assembly methods, fast and fairly accurate. However, the latter methods can fail for longer or more repetitive genomes, as they decompose reads to shorter fragments and lose a part of information. An efficient assembler for processing big datasets and using the overlap graph model is still looked out.ResultsWe propose a new genome-scale de novo assembler based on the overlap graph approach, designed for short-read sequencing data. The method, ALGA, incorporates several new ideas resulting in more exact contigs produced in short time. Among these ideas, we have creation of a sparse but quite informative graph, reduction of the graph including a procedure referring to the problem of minimum spanning tree of a local subgraph, and graph traversal connected with simultaneous analysis of contigs stored so far. What is rare in genome assembly, the algorithm is almost parameter-free, with only one optional parameter to be set by a user. ALGA was compared with nine state-of-the-art assemblers in tests on genome-scale sequencing data obtained from real experiments on six organisms, differing in size, coverage, GC content and repetition rate. ALGA produced best results in the sense of overall quality of genome reconstruction, understood as a good balance between genome coverage, accuracy and length of resulting sequences. The algorithm is one of tools involved in processing data in currently realized national project Genomic Map of Poland.Availability and implementationALGA is available at http://alga.put.poznan.pl.Supplementary informationSupplementary data are available at Bioinformatics online.

Dataset Information

De novo assembly of middle-sized genome using MinION and Illumina sequencers.

Publications

De novo assembly of middle-sized genome using MinION and Illumina sequencers.

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