Literature DB >> 29439050

Draft Genome Sequence of Cyanobacterium sp. Strain HL-69, Isolated from a Benthic Microbial Mat from a Magnesium Sulfate-Dominated Hypersaline Lake.

J M Mobberley1, M F Romine1, J K Cole1, Y Maezato1, S R Lindemann1, W C Nelson2.   

Abstract

The complete genome sequence of Cyanobacterium sp. strain HL-69 consists of 3,155,247 bp and contains 2,897 predicted genes comprising a chromosome and two plasmids. The genome is consistent with a halophilic nondiazotrophic phototrophic lifestyle, and this organism is able to synthesize most B vitamins and produces several secondary metabolites.
Copyright © 2018 Mobberley et al.

Entities:  

Year:  2018        PMID: 29439050      PMCID: PMC5805888          DOI: 10.1128/genomeA.01583-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Cyanobacteria in phototrophic microbial mats are responsible for most of the primary production, provide fixed nitrogen and sulfur to the community, and contribute to the structural integrity of the mat (1, 2). We present here the complete genome sequence of the coccoid unicellular Cyanobacterium sp. strain HL-69 (CHL-69), which was derived from a microbial mat from the magnesium sulfate-dominated hypersaline Hot Lake in northern Washington (3, 4). CHL-69 was isolated from a Hot Lake mat enrichment culture by streaking until axenic on Hot Lake autotroph (HLA) medium, which is BG-11 amended to mimic Hot Lake water (5). CHL-69 genomic DNA was extracted using a modified cetyltrimethylammonium bromide (CTAB) protocol (5) and was sequenced by the Department of Horticulture Genomics Lab at Washington State University in Pullman, WA, USA, on a PacBio RS II platform, which generated 60,773 reads with a mean length of 5,905 nucleotides (nt). De novo assembly with Hierarchical Genome Assembly Process (HGAP) (SMRT portal version 2.2.0) (Pacific Biosciences) (6) yielded 5 unique contigs. Gaps and sequence errors were resolved using assembled shotgun metagenome data (Illumina HiSeq) from the enrichment culture (https://github.com/jenmobberley/CyanobacteriumHL69). Gene prediction was performed with Prodigal (7) and through the Rapid Annotations using Subsystems Technology (RAST) server (8), and rRNAs and tRNAs were identified with Rfam (9). Genes were assigned functional annotation by use of information from the RAST server (8), BlastKOALA (10), and TIGRFAMs (11). The genome of CHL-69 consists of a circular chromosome (3,155,247 bp) with an average G+C content of 37.8% and two plasmids, pCHL69-1 (86,432 bp) and pCHL69-2 (55,266 bp), with average G+C contents of 34.1% and 35.32%, respectively. Sequence analysis revealed 3,039 coding sequences, 9 rRNAs, and 44 tRNAs. The chromosome contained a putative prophage as well as a clustered regularly interspaced short palindromic repeat (CRISPR)-cas subtype I-D system. Each plasmid contained parA and toxin-antitoxin genes, which suggests that the plasmids are maintained at a low copy number. Average nucleotide identity (ANI) calculations showed that the HL-69 genome was 95.8% identical to that of the freshwater isolate Cyanobacterium sp. strain IPPAS B-1200 (3,410,249 bp) (GenBank accession no. LWHC00000000) (12) and 82.75% identical to that of the soda lake isolate Cyanobacterium stanieri PCC 7202 (3,163,381 bp) (GenBank accession no. CP003940) (13). The nutritional dependencies of Cyanobacterium sp. HL-69 were revealed through metabolic reconstruction. HL-69 contains nitrate assimilation genes but lacks nitrogenase, supporting experiments showing HL-69 grows on nitrate but not dinitrogen (Y.M. and J.K.C, unpublished data). The genome of HL-69 indicates it is auxotrophic for vitamin B12 and is capable of salvage through an ABC transporter (btuBFCD). HL-69 is prototrophic for B2, B6, B7, and B9; however, the presence of genes for uptake of B7 (bioY) and B9 (folT) suggests it might be conditionally syntrophic for those vitamins (14). Consistent with CHL-69 growing under a wide range of salinity and light conditions, stress response pathways were identified, such as biosynthesis of the osmolytes glucosyl-glycerol (ggpS) and choline (glpQ), as well as the UV protectant mycosporine, which may be induced by oxidative stress due to high light levels (15).

Accession number(s).

This whole-genome shotgun project has been deposited in GenBank under the accession no. CP024912 (CHL-69), CP024913 (pCHL69-1), and CP024914 (pCHL69-2). The versions described in this paper are the first versions, CP024912.1, CP024913.1, and CP024914.1. The metagenome for the cyanobacterial enrichment culture is publically accessible in JGI’s Integrated Microbial Genomes and Microbiomes (IMG) under IMG Genome ID 3300005412.
  13 in total

1.  The TIGRFAMs database of protein families.

Authors:  Daniel H Haft; Jeremy D Selengut; Owen White
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

2.  Underlying mechanisms for syntrophic metabolism of essential enzyme cofactors in microbial communities.

Authors:  Margaret F Romine; Dmitry A Rodionov; Yukari Maezato; Andrei L Osterman; William C Nelson
Journal:  ISME J       Date:  2017-02-10       Impact factor: 10.302

3.  Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data.

Authors:  Chen-Shan Chin; David H Alexander; Patrick Marks; Aaron A Klammer; James Drake; Cheryl Heiner; Alicia Clum; Alex Copeland; John Huddleston; Evan E Eichler; Stephen W Turner; Jonas Korlach
Journal:  Nat Methods       Date:  2013-05-05       Impact factor: 28.547

4.  Prodigal: prokaryotic gene recognition and translation initiation site identification.

Authors:  Doug Hyatt; Gwo-Liang Chen; Philip F Locascio; Miriam L Land; Frank W Larimer; Loren J Hauser
Journal:  BMC Bioinformatics       Date:  2010-03-08       Impact factor: 3.169

Review 5.  BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences.

Authors:  Minoru Kanehisa; Yoko Sato; Kanae Morishima
Journal:  J Mol Biol       Date:  2015-11-14       Impact factor: 5.469

6.  Rfam 12.0: updates to the RNA families database.

Authors:  Eric P Nawrocki; Sarah W Burge; Alex Bateman; Jennifer Daub; Ruth Y Eberhardt; Sean R Eddy; Evan W Floden; Paul P Gardner; Thomas A Jones; John Tate; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 19.160

7.  Multiple roles of photosynthetic and sunscreen pigments in cyanobacteria focusing on the oxidative stress.

Authors:  Naoki Wada; Toshio Sakamoto; Seiichi Matsugo
Journal:  Metabolites       Date:  2013-05-30

8.  The epsomitic phototrophic microbial mat of Hot Lake, Washington: community structural responses to seasonal cycling.

Authors:  Stephen R Lindemann; James J Moran; James C Stegen; Ryan S Renslow; Janine R Hutchison; Jessica K Cole; Alice C Dohnalkova; Julien Tremblay; Kanwar Singh; Stephanie A Malfatti; Feng Chen; Susannah G Tringe; Haluk Beyenal; James K Fredrickson
Journal:  Front Microbiol       Date:  2013-11-13       Impact factor: 5.640

9.  The RAST Server: rapid annotations using subsystems technology.

Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

10.  Phototrophic biofilm assembly in microbial-mat-derived unicyanobacterial consortia: model systems for the study of autotroph-heterotroph interactions.

Authors:  Jessica K Cole; Janine R Hutchison; Ryan S Renslow; Young-Mo Kim; William B Chrisler; Heather E Engelmann; Alice C Dohnalkova; Dehong Hu; Thomas O Metz; Jim K Fredrickson; Stephen R Lindemann
Journal:  Front Microbiol       Date:  2014-04-07       Impact factor: 5.640

View more
  1 in total

1.  Comprehensive Analyses of Cytochrome P450 Monooxygenases and Secondary Metabolite Biosynthetic Gene Clusters in Cyanobacteria.

Authors:  Makhosazana Jabulile Khumalo; Nomfundo Nzuza; Tiara Padayachee; Wanping Chen; Jae-Hyuk Yu; David R Nelson; Khajamohiddin Syed
Journal:  Int J Mol Sci       Date:  2020-01-19       Impact factor: 5.923

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.