Literature DB >> 25767239

Draft genome sequences of gammaproteobacterial methanotrophs isolated from lake washington sediment.

Marina G Kalyuzhnaya1, Andrew E Lamb2, Tami L McTaggart2, Igor Y Oshkin2, Nicole Shapiro3, Tanja Woyke3, Ludmila Chistoserdova2.   

Abstract

The genomes of Methylosarcina lacus LW14(T) (=ATCC BAA-1047(T) = JCM 13284(T)), Methylobacter sp. strain 21/22, Methylobacter sp. strain 31/32, Methylomonas sp. strain LW13, Methylomonas sp. strain MK1, and Methylomonas sp. strain 11b were sequenced and are reported here. All the strains are obligately methanotrophic bacteria isolated from the sediment of Lake Washington.
Copyright © 2015 Kalyuzhnaya et al.

Entities:  

Year:  2015        PMID: 25767239      PMCID: PMC4357761          DOI: 10.1128/genomeA.00103-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Lake Washington sediment has served for decades as a model system for environmental studies on aerobic methane oxidation (1–8). A great deal of information has been accumulated regarding methane consumption rates (1, 3) and the composition of microbial communities that consume methane (4–8). A number of methanotroph species have been isolated in pure culture (3). Here, we announce the draft genome sequences of six obligately methanotrophic bacteria belonging to the family Methylococcaceae (Table 1).
TABLE 1 

Strains described, accession numbers, and general genome statistics

StrainSample collection dateNCBI accession no.Sequencingplatform (genome coverage [×])No. of scaffolds(no. of contigs)G+C content (%)Size (Mb)Gene countapMMO/sMMObNifcHydd
Methylobacter sp. 21/222011JMLA00000000PacBio (79)4 (4)49.54.74,2392/0++
Methylobacter sp. 31/322011JPOH00000000PacBio (104)2 (2)49.25.04,6692/0++
Methylomonas sp. 11b2011AZXK00000000Illumina (755)1 (2)51.45.45,0863/1++
Methylomonas sp. MK12011AQOV00000000PacBio/Illumina (79)5 (5)51.55.24,8513/0++
Methylomonas sp. LW131999JNLB00000000Illumina (300)42 (42)51.85.24,8062/1++
Methylosarcina lacus LW14T1999AZUN00000000Illumina (912)1 (1)54.74.44,0471/0

Number of genomic objects (coding sequences [CDSs], fragmented CDSs [fCDS], rRNA, tRNA, miscellaneous RNA [miscRNA]).

Number of gene clusters encoding particulate methane monooxygenase (pMMO) or soluble methane monooxygenase (sMMO).

Nitrogenase gene cluster. +, present; −, absent.

Hydrogenase (NiFe) gene cluster.

Strains described, accession numbers, and general genome statistics Number of genomic objects (coding sequences [CDSs], fragmented CDSs [fCDS], rRNA, tRNA, miscellaneous RNA [miscRNA]). Number of gene clusters encoding particulate methane monooxygenase (pMMO) or soluble methane monooxygenase (sMMO). Nitrogenase gene cluster. +, present; −, absent. Hydrogenase (NiFe) gene cluster. Strains Methylomonas sp. LW13 and Methylosarcina lacus LW14T were isolated in 1999 (3), and strain LW14T has been formally described (9). Strains Methylomonas sp. 11b, Methylomonas sp. MK1, Methylobacter sp. 21/22, and Methylobacter sp. 31/32 were isolated from a sample collected in 2011 (7, 8). The Methylobacter strains are psychrophilic and do not grow at temperatures of >24°C, while the remaining strains grow well at 30°C (3, 9). DNA preparations were obtained using the phenol-chloroform method (9). The draft genome sequences were generated at the Department of Energy (DOE) Joint Genome Institute (JGI), Walnut Creek, CA, USA, using the Illumina platform (10) or Pacific Biosciences (PacBio) technology (Table 1). The raw reads were assembled using HGAP (version 2.1.1; PacBio data) (11) or AllPaths, version 39750 (12) and/or Velvet, version 1.1.05 (Illumina data). All general aspects of library construction and sequencing performed at the JGI can be found at http://www.jgi.doe.gov. Genome annotation was performed using Prodigal (13), followed by a round of manual curation using GenePRIMP (14) for the genomes in <20 scaffolds. The predicted coding sequences were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant database and the UniProt, TIGRFam, Pfam, KEGG, COG, and InterPro databases. Additional gene prediction analysis was performed within the Integrated Microbial Genomes (IMG) platform (15). The genome statistics are shown in Table 1. As typical obligate methanotrophs, all the strains encode particulate methane monooxygenase for methane oxidation. In addition, soluble methane monooxygenase gene clusters were identified in the genomes of Methylomonas sp. strain 11b and Methylomonas sp. strain LW13. The complete gene inventories for the ribulose monophosphate pathway (both KDPG [2-keto-3-deoxy-6-phosphogluconate] and FBA [fructose 1,6-bisphosphate aldolase] variants [16]) are present in all genomes. All three Methylomonas strains, as well as M. lacus LW14T, also possess complete sets of genes for the serine cycle, while in the Methylobacter species, the genes coding for one enzyme, phosphoenolpyruvate carboxylase, are not identifiable. None of the strains encode ribulose-1,5-bisphosphate carboxylase/oxygenase or its homologues. With the exception of M. lacus LW14T, all the organisms encode functions for nitrogen fixation and hydrogen production/utilization. Respiratory nitrate-nitrite reductases are encoded only in the Methylobacter sp. genomes, while nitrite/nitrous oxide reductases are encoded only in the Methylomonas sp. and M. lacus LW14T genomes. With the availability of their genomic sequences, these diverse Methylococcaceae isolates present prospective models for studying methanotrophy in freshwater lake sediments.

Nucleotide sequence accession numbers.

The genome sequences have been deposited in GenBank under the accession numbers listed in Table 1.
  14 in total

1.  Molecular characterization of methanotrophic isolates from freshwater lake sediment.

Authors:  A J Auman; S Stolyar; A M Costello; M E Lidstrom
Journal:  Appl Environ Microbiol       Date:  2000-12       Impact factor: 4.792

2.  Solexa Ltd.

Authors:  Simon Bennett
Journal:  Pharmacogenomics       Date:  2004-06       Impact factor: 2.533

3.  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

4.  High-quality draft assemblies of mammalian genomes from massively parallel sequence data.

Authors:  Sante Gnerre; Iain Maccallum; Dariusz Przybylski; Filipe J Ribeiro; Joshua N Burton; Bruce J Walker; Ted Sharpe; Giles Hall; Terrance P Shea; Sean Sykes; Aaron M Berlin; Daniel Aird; Maura Costello; Riza Daza; Louise Williams; Robert Nicol; Andreas Gnirke; Chad Nusbaum; Eric S Lander; David B Jaffe
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-27       Impact factor: 11.205

5.  Bacterial populations active in metabolism of C1 compounds in the sediment of Lake Washington, a freshwater lake.

Authors:  Olivier Nercessian; Emma Noyes; Marina G Kalyuzhnaya; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  Appl Environ Microbiol       Date:  2005-11       Impact factor: 4.792

6.  High-resolution metagenomics targets specific functional types in complex microbial communities.

Authors:  Marina G Kalyuzhnaya; Alla Lapidus; Natalia Ivanova; Alex C Copeland; Alice C McHardy; Ernest Szeto; Asaf Salamov; Igor V Grigoriev; Dominic Suciu; Samuel R Levine; Victor M Markowitz; Isidore Rigoutsos; Susannah G Tringe; David C Bruce; Paul M Richardson; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  Nat Biotechnol       Date:  2008-09       Impact factor: 54.908

7.  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

8.  Methylosarcina lacus sp. nov., a methanotroph from Lake Washington, Seattle, USA, and emended description of the genus Methylosarcina.

Authors:  Marina G Kalyuzhnaya; Sergey M Stolyar; Ann J Auman; Jimmie C Lara; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  Int J Syst Evol Microbiol       Date:  2005-11       Impact factor: 2.747

9.  Methane-fed microbial microcosms show differential community dynamics and pinpoint taxa involved in communal response.

Authors:  Igor Y Oshkin; David A C Beck; Andrew E Lamb; Veronika Tchesnokova; Gabrielle Benuska; Tami L McTaggart; Marina G Kalyuzhnaya; Svetlana N Dedysh; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  ISME J       Date:  2014-10-21       Impact factor: 10.302

10.  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

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  20 in total

1.  Communal metabolism of methane and the rare Earth element switch.

Authors:  Zheng Yu; Ludmila Chistoserdova
Journal:  J Bacteriol       Date:  2017-06-19       Impact factor: 3.490

2.  Quorum Sensing in a Methane-Oxidizing Bacterium.

Authors:  Aaron W Puri; Amy L Schaefer; Yanfen Fu; David A C Beck; E Peter Greenberg; Mary E Lidstrom
Journal:  J Bacteriol       Date:  2017-02-14       Impact factor: 3.490

3.  Lanthanide-dependent cross-feeding of methane-derived carbon is linked by microbial community interactions.

Authors:  Sascha M B Krause; Timothy Johnson; Yasodara Samadhi Karunaratne; Yanfen Fu; David A C Beck; Ludmila Chistoserdova; Mary E Lidstrom
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-27       Impact factor: 11.205

4.  Interspecies Chemical Signaling in a Methane-Oxidizing Bacterial Community.

Authors:  Aaron W Puri; Darren Liu; Amy L Schaefer; Zheng Yu; Mitchell W Pesesky; E Peter Greenberg; Mary E Lidstrom
Journal:  Appl Environ Microbiol       Date:  2019-03-22       Impact factor: 4.792

5.  Electroporation-Based Genetic Manipulation in Type I Methanotrophs.

Authors:  Xin Yan; Frances Chu; Aaron W Puri; Yanfen Fu; Mary E Lidstrom
Journal:  Appl Environ Microbiol       Date:  2016-01-22       Impact factor: 4.792

Review 6.  Diversity and Habitat Preferences of Cultivated and Uncultivated Aerobic Methanotrophic Bacteria Evaluated Based on pmoA as Molecular Marker.

Authors:  Claudia Knief
Journal:  Front Microbiol       Date:  2015-12-15       Impact factor: 5.640

7.  Natural Selection in Synthetic Communities Highlights the Roles of Methylococcaceae and Methylophilaceae and Suggests Differential Roles for Alternative Methanol Dehydrogenases in Methane Consumption.

Authors:  Zheng Yu; David A C Beck; Ludmila Chistoserdova
Journal:  Front Microbiol       Date:  2017-12-05       Impact factor: 5.640

8.  Crenothrix are major methane consumers in stratified lakes.

Authors:  Kirsten Oswald; Jon S Graf; Sten Littmann; Daniela Tienken; Andreas Brand; Bernhard Wehrli; Mads Albertsen; Holger Daims; Michael Wagner; Marcel Mm Kuypers; Carsten J Schubert; Jana Milucka
Journal:  ISME J       Date:  2017-06-06       Impact factor: 10.302

9.  Draft Genome Sequences of Two Gammaproteobacterial Methanotrophs Isolated from Rice Ecosystems.

Authors:  Katharina Frindte; Marina G Kalyuzhnaya; Françoise Bringel; Peter F Dunfield; Mike S M Jetten; Valentina N Khmelenina; Martin G Klotz; J Colin Murrell; Huub J M Op den Camp; Yasuyoshi Sakai; Jeremy D Semrau; Nicole Shapiro; Alan A DiSpirito; Lisa Y Stein; Mette M Svenning; Yuri A Trotsenko; Stéphane Vuilleumier; Tanja Woyke; Claudia Knief
Journal:  Genome Announc       Date:  2017-08-17

10.  A Synthetic Ecology Perspective: How Well Does Behavior of Model Organisms in the Laboratory Predict Microbial Activities in Natural Habitats?

Authors:  Zheng Yu; Sascha M B Krause; David A C Beck; Ludmila Chistoserdova
Journal:  Front Microbiol       Date:  2016-06-15       Impact factor: 5.640

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