Literature DB >> 25908125

Genome Sequence of Methanosarcina soligelidi SMA-21, Isolated from Siberian Permafrost-Affected Soil.

Mashal Alawi1, Nicole Shapiro2, Tanja Woyke2, Fabian Horn3, Corien Bakermans4, Dirk Wagner3.   

Abstract

Here, we announce the genome sequence of Methanosarcina soligelidi SMA-21, an anaerobic methanogenic archaeon that was previously isolated from Siberian permafrost-affected soil. The sequencing of strain SMA-21 yielded a 4.06-Mb genome with 41.5% G+C content, containing a total of 2,647 open reading frames.
Copyright © 2015 Alawi et al.

Entities:  

Year:  2015        PMID: 25908125      PMCID: PMC4408326          DOI: 10.1128/genomeA.00270-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Methanosarcina soligelidi (type strain SMA-21 = DSM 26065 = JCM 18468) was initially isolated from Siberian permafrost-affected soil and described as a novel species within the order Methanosarcinales (1). The 16S rRNA gene sequence (NCBI AB973359) was close to that of Methanosarcina mazei (99.9%). The strain grows on H2/CO2, methanol, and acetate and has a high survival potential against air exposure, desiccation, freeze-thaw cycles, and long-term freezing. Here, we report the complete genome sequence of M. soligelidi SMA-21. The genome was generated at the Department of Energy (DOE) Joint Genome Institute (JGI) using the Pacific Biosciences (PacBio) sequencing technology (2). A PacBio SMRTbell library was constructed and sequenced on the PacBio RS platform, which generated 164,129 filtered subreads totaling 551.7 Mbp. The raw reads were assembled using HGAP (version 2.1.1) (3). The final draft assembly contained 1 contig in 1 scaffold, totaling 4.1 Mbp in size (G+C content, 41.50%). Genes were identified using Prodigal (4), followed by a round of manual curation using GenePRIMP (5). The tRNAscan-SE tool (6) was used to find tRNA genes, whereas rRNA genes were found by searches against models of the rRNA genes built from SILVA (7). Other noncoding RNAs, such as the RNA components of the protein secretion complex and RNase P, were identified by searching the genome for the corresponding Rfam profiles using Infernal (http://infernal.janelia.org). Additional gene prediction analysis and manual functional annotation were performed within the Integrated Microbial Genomes (IMG) platform (8) developed by JGI, Walnut Creek, CA, USA (http://img.jgi.doe.gov). The genome contains 3,440 protein-coding sequences, of which 75.4% (2,647) had a predicted function. Likewise, the genome contains five clustered regularly interspaced short palindrome repeat (CRISPR) loci and CRISPR-associated proteins (Cas). The genetic, metabolic, and physiological features of the species will be unveiled by future comparative genomic analyses.

Nucleotide sequence accession number.

This whole-genome shotgun project has been deposited in DDBJ/EMBL/GenBank under the accession no. JQLR00000000. The version described in this paper is the first version.
  8 in total

1.  GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes.

Authors:  Amrita Pati; Natalia N Ivanova; Natalia Mikhailova; Galina Ovchinnikova; Sean D Hooper; Athanasios Lykidis; Nikos C Kyrpides
Journal:  Nat Methods       Date:  2010-05-02       Impact factor: 28.547

2.  IMG ER: a system for microbial genome annotation expert review and curation.

Authors:  Victor M Markowitz; Konstantinos Mavromatis; Natalia N Ivanova; I-Min A Chen; Ken Chu; Nikos C Kyrpides
Journal:  Bioinformatics       Date:  2009-06-27       Impact factor: 6.937

3.  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

4.  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

5.  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

6.  Methanosarcina soligelidi sp. nov., a desiccation- and freeze-thaw-resistant methanogenic archaeon from a Siberian permafrost-affected soil.

Authors:  Dirk Wagner; Janosch Schirmack; Lars Ganzert; Daria Morozova; Kai Mangelsdorf
Journal:  Int J Syst Evol Microbiol       Date:  2013-02-01       Impact factor: 2.747

7.  Real-time DNA sequencing from single polymerase molecules.

Authors:  John Eid; Adrian Fehr; Jeremy Gray; Khai Luong; John Lyle; Geoff Otto; Paul Peluso; David Rank; Primo Baybayan; Brad Bettman; Arkadiusz Bibillo; Keith Bjornson; Bidhan Chaudhuri; Frederick Christians; Ronald Cicero; Sonya Clark; Ravindra Dalal; Alex Dewinter; John Dixon; Mathieu Foquet; Alfred Gaertner; Paul Hardenbol; Cheryl Heiner; Kevin Hester; David Holden; Gregory Kearns; Xiangxu Kong; Ronald Kuse; Yves Lacroix; Steven Lin; Paul Lundquist; Congcong Ma; Patrick Marks; Mark Maxham; Devon Murphy; Insil Park; Thang Pham; Michael Phillips; Joy Roy; Robert Sebra; Gene Shen; Jon Sorenson; Austin Tomaney; Kevin Travers; Mark Trulson; John Vieceli; Jeffrey Wegener; Dawn Wu; Alicia Yang; Denis Zaccarin; Peter Zhao; Frank Zhong; Jonas Korlach; Stephen Turner
Journal:  Science       Date:  2008-11-20       Impact factor: 47.728

8.  SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB.

Authors:  Elmar Pruesse; Christian Quast; Katrin Knittel; Bernhard M Fuchs; Wolfgang Ludwig; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2007-10-18       Impact factor: 16.971

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.