Literature DB >> 29437104

Improved Draft Genome Sequence of Microcystis aeruginosa NIES-298, a Microcystin-Producing Cyanobacterium from Lake Kasumigaura, Japan.

Haruyo Yamaguchi1, Shigekatsu Suzuki2, Masanobu Kawachi2.   

Abstract

Microcystis aeruginosa is a globally well-known bloom-forming cyanobacterium. An improved draft whole-genome sequence of M. aeruginosa NIES-298, which is a microcystin-producing strain isolated from Lake Kasumigaura, Japan, is published here. The genome comprises approximately 5.0 Mbp, with an average G+C content of 42.6% and 4,537 predicted protein-coding genes.
Copyright © 2018 Yamaguchi et al.

Entities:  

Year:  2018        PMID: 29437104      PMCID: PMC5794951          DOI: 10.1128/genomeA.01551-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Microcystis aeruginosa is a problematic cyanobacterium because it forms massive blooms and produces bad odors in freshwater environments (1). The most serious problem associated with this species is the production of cyanotoxins (microcystins) (1). It is known that M. aeruginosa is genetically divided into at least eight clades (groups A to G and X) based on a multilocus phylogenetic analysis (2). Of the clades, A, X, and a part of B produce microcystins. M. aeruginosa NIES-298 is a microcystin-producing strain isolated from Lake Kasumigaura, Japan (3). The strain is available from the Microbial Culture Collection at the National Institute for Environmental Studies, Japan (http://mcc.nies.go.jp/). According to phylogenetic analysis, this strain is assigned to group B (2). We have reported the genome sequence of M. aeruginosa NIES-98, which is a non-microcystin-producing strain from Lake Kasumigaura assigned to group B (4). Although Rhee et al. published a draft genome sequence of NIES-298 (5), the quality of the genome sequence was insufficient. To improve this, we performed genome sequencing of NIES-298 using paired-end and mate-pair reads generated by an Illumina MiSeq platform. This information provides a better understanding of the evolutionary history of group B in M. aeruginosa. Extraction of genomic DNA was performed with 10 ml of the axenic culture of NIES-298 using the DNeasy Plant minikit (Qiagen), which was then fragmented using a Covaris M220 focused-ultrasonicator (Covaris) to approximately 550 bp. Genomic libraries of paired-end and mate-pair reads were constructed using the TruSeq Nano DNA library prep kit (Illumina) and the Nextera mate-pair library preparation kit (Illumina), respectively. Next-generation sequencing was performed via the MiSeq platform (Illumina) using the 600-cycle MiSeq reagent kit version 3. The resultant paired-end and mate-pair reads were 551,378,644 bp and 115,840,891 bp, respectively. Low-quality reads/bases were filtered using Trimmomatic version 0.36 (6), and a de novo assembly was performed by SPAdes 3.7.1 (7). The resulting genome comprised 97 contigs of 4,957,478 bp. The average genome coverage of the paired-end reads was 111.2×. The maximum length of a contig was 556,706 bp, and the mean contig size was 51,108 bp. The draft genome of NIES-298 was annotated with the DDBJ Fast Annotation and Submission Tool (DFAST) (8). The genome comprised 4,537 predicted protein-coding sequences (CDSs), one set of rRNA, and 48 tRNA genes. The G+C content of the genome was 42.6%. antiSMASH (9) predicted 34 secondary metabolite gene clusters, including microcystin, aeruginosin, microviridin, microcyclamide, and micropeptin biosynthesis gene clusters in the genome. The sequence of 16S rRNA was compared with that of NIES-98, resulting in 96.4% similarity. OrthoFinder (10) identified 3,488 orthologous gene groups between the 2 genomes. Additional genome sequences would help in understanding the complex evolution of M. aeruginosa.

Accession number(s).

This whole-genome shotgun project has been deposited in GenBank under the accession no. BEYQ01000001 to BEYQ01000097.
  8 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  Draft genome database construction from four strains (NIES-298, FCY- 26, -27, and -28) of the cyanobacterium Microcystis aeruginosa.

Authors:  Jae-Sung Rhee; Beom-Soon Choi; Jeonghoon Han; Soon-Jin Hwang; Ik-Young Choi; Jae-Seong Lee
Journal:  J Microbiol Biotechnol       Date:  2012-09       Impact factor: 2.351

3.  Local expansion of a panmictic lineage of water bloom-forming cyanobacterium Microcystis aeruginosa.

Authors:  Yuuhiko Tanabe; Makoto M Watanabe
Journal:  PLoS One       Date:  2011-02-24       Impact factor: 3.240

4.  antiSMASH 3.0-a comprehensive resource for the genome mining of biosynthetic gene clusters.

Authors:  Tilmann Weber; Kai Blin; Srikanth Duddela; Daniel Krug; Hyun Uk Kim; Robert Bruccoleri; Sang Yup Lee; Michael A Fischbach; Rolf Müller; Wolfgang Wohlleben; Rainer Breitling; Eriko Takano; Marnix H Medema
Journal:  Nucleic Acids Res       Date:  2015-05-06       Impact factor: 16.971

5.  Draft Genome Sequence of Microcystis aeruginosa NIES-98, a Non-Microcystin-Producing Cyanobacterium from Lake Kasumigaura, Japan.

Authors:  Haruyo Yamaguchi; Shigekatsu Suzuki; Tomoharu Sano; Yuuhiko Tanabe; Nobuyoshi Nakajima; Masanobu Kawachi
Journal:  Genome Announc       Date:  2016-11-10

6.  OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy.

Authors:  David M Emms; Steven Kelly
Journal:  Genome Biol       Date:  2015-08-06       Impact factor: 13.583

7.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

8.  DFAST: a flexible prokaryotic genome annotation pipeline for faster genome publication.

Authors:  Yasuhiro Tanizawa; Takatomo Fujisawa; Yasukazu Nakamura
Journal:  Bioinformatics       Date:  2018-03-15       Impact factor: 6.937

  8 in total
  1 in total

1.  Genomic Characteristics of the Toxic Bloom-Forming Cyanobacterium Microcystis aeruginosa NIES-102.

Authors:  Haruyo Yamaguchi; Shigekatsu Suzuki; Yasunori Osana; Masanobu Kawachi
Journal:  J Genomics       Date:  2020-01-01
  1 in total

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