Literature DB >> 32241856

Draft Genome Sequences of Four Microcystis aeruginosa Strains (NIES-3787, NIES-3804, NIES-3806, and NIES-3807) Isolated from Lake Kasumigaura, Japan.

Haruyo Yamaguchi1, Shigekatsu Suzuki2, Masanobu Kawachi2.   

Abstract

Microcystis aeruginosa is a bloom-forming cyanobacterium found in freshwater environments. The draft genomes of the M. aeruginosa strains NIES-3787, NIES-3804, NIES-3806, and NIES-3807, which were isolated from Lake Kasumigaura, Japan, were sequenced. The genome sizes of NIES-3787, NIES-3804, NIES-3806, and NIES-3807 were 4,524,637, 4,522,701, 4,370,004, and 4,378,226 bp, respectively.
Copyright © 2020 Yamaguchi et al.

Entities:  

Year:  2020        PMID: 32241856      PMCID: PMC7118182          DOI: 10.1128/MRA.00052-20

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Cyanobacterial blooms occur widely in freshwater environments worldwide (1). Microcystis aeruginosa is the most well-known bloom-forming cyanobacterium, and it is distributed in eutrophic freshwater environments. The most serious problem associated with this species is the production of hepatotoxic cyanotoxins called microcystins (2, 3). M. aeruginosa isolates are genetically divided into at least 12 phylogenetic groups (groups A to K and X) based on multilocus phylogenetic analyses (2, 3). The strains in groups A and X, as well as some B strains, produce microcystins (3, 4). In the current study, we sequenced M. aeruginosa strains NIES-3787, NIES-3804, NIES-3806, and NIES-3807, isolated from Lake Kasumigaura, Japan. Axenic cultures of M. aeruginosa NIES-3787, NIES-3804, NIES-3806, and NIES-3807 were obtained from the microbial culture collection of the National Institute for Environmental Studies (https://mcc.nies.go.jp/index.html). These strains were established by using a micropipette under an inverted microscope. The strains were cultured in 10 ml of Microcystis aeruginosa medium at 22°C under light at 25 μmol photons m−2 s−1 with a 12:12-h light/dark cycle. Genomic DNA was extracted from 10-ml cultures of these strains using Agencourt Chloropure (Beckman Coulter) following the manufacturer’s protocol. The resultant DNAs were fragmented to approximately 550 bp using an M220 ultrasonicator (Covaris). Genomic libraries of paired-end reads were constructed using a NEBNext Ultra II DNA library prep kit for Illumina (New England Biolabs). Next-generation sequencing was performed with the MiSeq platform (Illumina) using a 500-cycle MiSeq reagent kit version 2. The resultant paired-end reads for NIES-3787, NIES-3804, NIES-3806, and NIES-3807 were 151,461,029 bp, 643,439,906 bp, 395,828,445 bp, and 197,435,680 bp, respectively. The raw reads were trimmed using Trimmomatic version 0.38 (5), and then de novo assembly was performed using SPAdes version 3.11.1 (6) in Shovill version 1.0.4 (https://github.com/tseemann/shovill). Next, the assembled scaffolds were polished using Pilon version 1.22 (7). After the removal of short reads (<200 bp), functional annotation was performed using the DFAST legacy server (8) with CyanoBase (9) as a database. We used CheckM version 1.0.11 to estimate genome completeness (10). Default parameters were used for all software. Group identification analysis of each strain was carried out based on ftsZ, one of seven multilocus sequence typing loci (2, 3). The genome assembly results are detailed in Table 1. As the result of group identification analysis, NIES-3787, NIES-3806, and NIES-3807 were identified as group G, and NIES-3804 was not assigned to any known group. These four strains did not possess a microcystin biosynthetic gene cluster (11). However, some secondary metabolite gene clusters, including aeruginosin (NIES-3787, NIES-3806, and NIES-3807) (12), anabaenopeptin (NIES-3806) (13), microcyclamide (NIES-3804) (14), and micropeptin (NIES-3787 and NIES-3806) (15), were predicted using antiSMASH version 5.0.0 (16). Additional genomic information about M. aeruginosa would be useful for monitoring algal blooms and managing freshwater ecosystems.
TABLE 1

Characteristics and accession numbers of four Microcystis aeruginosa genomes

Strain nameAssembly size (bp)No. of contigsN50 (bp)Genome completeness (%)CheckM contamination (%)GC content (%)No. of coding sequencesAccession no. of whole-genome shotgun submissionsSRA accession no.GenBank assembly accession no.
NIES-37874,378,22621473,03799.890.6643.04,126BJCH01000001BJCH01000214DRR205020GCA_009811815
NIES-38044,524,63723845,56299.890.3743.04,226BJCI01000001BJCI01000238DRR205021GCA_009811835
NIES-38064,522,70223567,32799.890.3743.04,180BJCJ01000001BJCJ01000235DRR205022GCA_009811855
NIES-38074,370,00421446,35699.890.9543.04,066BJCK01000001BJCK01000228DRR205023GCA_009811875
Characteristics and accession numbers of four Microcystis aeruginosa genomes

Data availability.

The draft genomic sequences of Microcystis aeruginosa NIES-3787, NIES-3804, NIES-3806, and NIES-3807 have been deposited in DDBJ/EMBL/GenBank under the accession numbers BJCH01000001 to BJCH01000214, BJCI01000001 to BJCI01000238, BJCJ01000001 to BJCJ01000235, and BJCK01000001 to BJCK01000228, respectively. The raw genomic reads of the strains are available in DDBJ/EMBL/GenBank under the accession numbers DRR205020, DRR205021, DRR205022, and DRR205023, respectively.
  14 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.  Structural organization of microcystin biosynthesis in Microcystis aeruginosa PCC7806: an integrated peptide-polyketide synthetase system.

Authors:  D Tillett; E Dittmann; M Erhard; H von Döhren; T Börner; B A Neilan
Journal:  Chem Biol       Date:  2000-10

3.  Plasticity and evolution of aeruginosin biosynthesis in cyanobacteria.

Authors:  Keishi Ishida; Martin Welker; Guntram Christiansen; Sabrina Cadel-Six; Christiane Bouchier; Elke Dittmann; Christian Hertweck; Nicole Tandeau de Marsac
Journal:  Appl Environ Microbiol       Date:  2009-02-05       Impact factor: 4.792

4.  Multilocus sequence typing (MLST) reveals high genetic diversity and clonal population structure of the toxic cyanobacterium Microcystis aeruginosa.

Authors:  Yuuhiko Tanabe; Fumie Kasai; Makoto M Watanabe
Journal:  Microbiology (Reading)       Date:  2007-11       Impact factor: 2.777

5.  CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes.

Authors:  Donovan H Parks; Michael Imelfort; Connor T Skennerton; Philip Hugenholtz; Gene W Tyson
Journal:  Genome Res       Date:  2015-05-14       Impact factor: 9.043

6.  Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement.

Authors:  Bruce J Walker; Thomas Abeel; Terrance Shea; Margaret Priest; Amr Abouelliel; Sharadha Sakthikumar; Christina A Cuomo; Qiandong Zeng; Jennifer Wortman; Sarah K Young; Ashlee M Earl
Journal:  PLoS One       Date:  2014-11-19       Impact factor: 3.240

7.  CyanoBase: a large-scale update on its 20th anniversary.

Authors:  Takatomo Fujisawa; Rei Narikawa; Shin-Ichi Maeda; Satoru Watanabe; Yu Kanesaki; Koichi Kobayashi; Jiro Nomata; Mitsumasa Hanaoka; Mai Watanabe; Shigeki Ehira; Eiji Suzuki; Koichiro Awai; Yasukazu Nakamura
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

8.  Adaptation of the Freshwater Bloom-Forming Cyanobacterium Microcystis aeruginosa to Brackish Water Is Driven by Recent Horizontal Transfer of Sucrose Genes.

Authors:  Yuuhiko Tanabe; Yoshikuni Hodoki; Tomoharu Sano; Kiyoshi Tada; Makoto M Watanabe
Journal:  Front Microbiol       Date:  2018-06-05       Impact factor: 5.640

9.  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

10.  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

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Authors:  Yuu Hirose; Yoshiyuki Ohtsubo; Naomi Misawa; Chinatsu Yonekawa; Nobuyoshi Nagao; Yohei Shimura; Takatomo Fujisawa; Yu Kanesaki; Hiroshi Katoh; Mitsunori Katayama; Haruyo Yamaguchi; Hirofumi Yoshikawa; Masahiko Ikeuchi; Toshihiko Eki; Yasukazu Nakamura; Masanobu Kawachi
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