Literature DB >> 28798172

Draft Genome Sequence of Methylocaldum sp. SAD2, a Methanotrophic Strain That Can Convert Raw Biogas to Methanol in the Presence of Hydrogen Sulfide.

Xiangdong Wei1,2, Xumen Ge3, Yebo Li3, Zhongtang Yu4.   

Abstract

The draft genome sequence of Methylocaldum sp. SAD2, a methanotrophic strain isolated from a hydrogen sulfide-rich anaerobic digester, is reported here. Strain SAD2 possesses genes for methane oxidation in the presence of H2S.
Copyright © 2017 Wei et al.

Entities:  

Year:  2017        PMID: 28798172      PMCID: PMC5552981          DOI: 10.1128/genomeA.00716-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Hydrogen sulfide (H2S) is present in all biogas, which dramatically decreases the methane monooxygenase (MMO) activity and methane oxidation rate, inhibiting direct biological conversion of biogas by utilization of methanotrophs to produce liquid fuel (1, 2). Therefore, the need to isolate methanotrophic strains that can tolerate H2S is urgent. We recently isolated a methanotrophic strain, Methylocaldum sp. SAD2, from an H2S-rich anaerobic digester (3). Strain SAD2 is closely related to Methylocaldum szegediense and Methylocaldum sp. strain 14B (4), and it can directly convert biogas to methanol in the presence of H2S at concentrations up to 1,000 ppm (3). Here, we present the draft genome sequence of Methylocaldum sp. SAD2. Cultivation, DNA extraction, and sequencing were done essentially as described previously (4). Briefly, Methylocaldum sp. SAD2 was grown in a nitrate mineral salts medium with a gas mixture containing 20% (vol/vol) CH4 and 80% (vol/vol) air (3). Genomic DNA was isolated using the cetyltrimethylammonium bromide (CTAB) method (5) and sequenced (2 × 300 bp) using an Illumina MiSeq system. Quality filtering using Trimmomatic version 0.35 (6) resulted in 2,179,853 paired-end reads. The filtered high-quality reads were de novo assembled into contigs using Newbler 2.9 (7). The assembly resulted in 96 contigs (N50, 132,078 bp; largest contig, 543,518 bp), with an average coverage of 110×. The estimated draft genome size for Methylocaldum sp. SAD2 is 5,912,804 bp, with a G+C content of 58.18%. Genes were predicted from the assembled contigs using Glimmer 3.02 (8–10). Open reading frames (ORFs) were predicted using Prodigal (11). The predicted bacterial protein-coding sequences were searched using BLASTp against the Clusters of Orthologous Groups (COG) and GenBank (12) databases. Detection of tRNAs, rRNAs, and small RNA (sRNA) genes was performed using tRNAscan-SE 1.23 (13), RNAmmer 1.2 (14), and Rfam 10.1 (15), respectively. Tandem repeats were identified using Tandem Repeats Finder 4.04 (16). Minisatellite DNA and microsatellite DNA were predicted based on the number and length of repeat units. The draft genome contained one complete rRNA operon, 45 tRNA genes, 2 sRNA genes, 97 minisatellite DNAs, 10 microsatellite DNAs, 142 tandem repeat sequences, 4,834 genes with predicted functions, and 669 genes coding for hypothetical proteins. MegaBLAST searches (17) of the SAD2 concatenated genome against the NCBI reference genome database (http://www.ncbi.nlm.nih.gov/genome) revealed that the closest relative genome was Methylocaldum szegediense O-12 (GenBank accession no. NZ_ATXX00000000), with 89.44% sequence coverage and 94.83% sequence identity, and Methylocaldum sp. 14B (accession no. NZ_MSCV00000000), with 96.94% sequence coverage and 98.84% sequence identity. Key genes associated with the pathways of methane oxidation, sulfur metabolism, relay system, and one-carbon assimilation (the serine cycle and ribulose-bisphosphate cycle) were identified, in agreement with the characterization data (3). Genes encoding enzymes of particulate methane monooxygenase, sulfide dehydrogenase, sulfurtransferase, sulfite oxidase and reductase, and sulfur transferase were also detected.

Accession number(s).

This whole-genome shotgun project has been deposited at GenBank under the accession number MUGL00000000. The version described in this paper is the first version, MUGL01000000.
  16 in total

1.  Improved microbial gene identification with GLIMMER.

Authors:  A L Delcher; D Harmon; S Kasif; O White; S L Salzberg
Journal:  Nucleic Acids Res       Date:  1999-12-01       Impact factor: 16.971

2.  Identifying bacterial genes and endosymbiont DNA with Glimmer.

Authors:  Arthur L Delcher; Kirsten A Bratke; Edwin C Powers; Steven L Salzberg
Journal:  Bioinformatics       Date:  2007-01-19       Impact factor: 6.937

3.  Tandem repeats finder: a program to analyze DNA sequences.

Authors:  G Benson
Journal:  Nucleic Acids Res       Date:  1999-01-15       Impact factor: 16.971

4.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

5.  Microbial gene identification using interpolated Markov models.

Authors:  S L Salzberg; A L Delcher; S Kasif; O White
Journal:  Nucleic Acids Res       Date:  1998-01-15       Impact factor: 16.971

6.  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

7.  Biological conversion of biogas to methanol using methanotrophs isolated from solid-state anaerobic digestate.

Authors:  Johnathon P Sheets; Xumeng Ge; Yueh-Fen Li; Zhongtang Yu; Yebo Li
Journal:  Bioresour Technol       Date:  2015-11-28       Impact factor: 9.642

8.  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

9.  Draft Genome Sequence of Methylocaldum sp. Strain 14B, an Obligate Hydrogen Sulfide-Tolerant Methanotrophic Strain That Can Convert Biogas to Methanol.

Authors:  Xiangdong Wei; Xumen Ge; Yebo Li; Zhongtang Yu
Journal:  Genome Announc       Date:  2017-04-20

10.  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

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