Literature DB >> 25931598

Metagenome sequencing of a coastal marine microbial community from monterey bay, california.

Ryan S Mueller1, Sam Bryson2, Brandon Kieft2, Zhou Li3, Jennifer Pett-Ridge4, Francisco Chavez5, Robert L Hettich6, Chongle Pan7, Xavier Mayali4.   

Abstract

Heterotrophic microbes are critical components of aquatic food webs. Linkages between populations and the substrates they utilize are not well defined. We present the metagenome of microbial communities from the coastal Pacific Ocean exposed to various nutrient additions in order to better understand substrate utilization and partitioning in this environment.
Copyright © 2015 Mueller et al.

Entities:  

Year:  2015        PMID: 25931598      PMCID: PMC4417694          DOI: 10.1128/genomeA.00341-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Marine phytoplankton and cyanobacteria are estimated to fix approximately 50 gigatons of carbon (C) annually (1). Concomitantly, heterotrophic microbes within marine food webs on average consume roughly 50% of fixed C (2). Considering the immense size of this organic matter pool and the importance of microbes in its turnover, microbial consumers can significantly affect processes such as global climate patterns and the transfer of energy through food webs (2, 3). New approaches are beginning to provide information on the roles of key populations contributing to biogeochemical cycles in marine systems (4). Here, we used metagenomics to examine the population dynamics within microbial communities in response to the addition of organic C substrates (acetate, amino acids, glucose, lipids, protein, and starch) and to constrain resource utilization preferences of lineages based on response patterns. Surface seawater was collected during a cruise aboard the R/V Rachel Carson within Monterey, Bay, California, USA (36°N 53.387′, 121°W 57.257′). Carboys were kept covered at ambient temperature until initial processing (4 to 10 h), whereupon samples were prefiltered through sterile Whatman 934-AH glass fiber filters (1.5 µm nominal pore size). Experimental treatments consisted of the substrates listed above (1 µM, final concentration), with incubations lasting ~15 h at 19°C. One liter from each of three replicates (controls and substrate additions) was filtered through 0.2-µm Pall Supor membranes in order to collect the free-living fraction. Filters were frozen and stored at −80°C until DNA was extracted (MasterPure Kit; Epicentre Technologies). DNA from replicate samples was pooled to create one library (Illumina TruSeq kit; Illumina, Inc.) for each treatment (n = 7). Sequencing of all libraries was performed using the Illumina MiSeq platform version 3.0. After quality filtering of reads, the total generated sequence from each library was as follows: control, 10.5 Gb; acetate, 1.6 Gb; amino acids, 1.4 Gb; glucose, 2.5 Gb; lipids, 1.5 Gb; protein, 2.2 Gb; and starch, 1.5 Gb. Assemblies were optimized using multiple programs (Velvet [5], IDBA [6], MaSuRCA [7], Newbler [8], and Ray [9]), and resulting contigs were merged into one final assembly for each metagenome using GAM-NGS (10). Dominant phyla within metagenomes were Proteobacteria (31% to 56%), Bacteroidetes (26% to 61%), Verrucomicrobia (3% to 5%), Euryarchaeota (0% to 3%), Thaumarchaeota (0% to 2%), Planctomycetes (0% to 2%), Actinobacteria (0% to 2%), Marinomicrobia (0% to 2%), and Cyanobacteria (0% to 2%). Specific populations significantly increased in abundance in response to different substrate additions (e.g., relative abundances of Marinimicrobia and Roseobacter populations increased in lipid and acetate treatments, respectively), while other taxa demonstrated the same general trend across all treatments (e.g., Acidobacteria, marine group II Euryarchaeota, and Planctomycetes populations decreased in abundance in all treatments, while Polaribacter populations increased). The reported metagenomes provide detailed information on individual population dynamics in response to nutrient addition, allowing for insight into the membership of functional guilds within marine microbial food webs.

Nucleotide sequence accession numbers.

DNA sequences from this project were deposited under the accession number SRR1873745 within the NCBI SRA and identification number 4622002.3 within the MG-RAST server.
  8 in total

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Authors:  O Béjà; E N Spudich; J L Spudich; M Leclerc; E F DeLong
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2.  IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth.

Authors:  Yu Peng; Henry C M Leung; S M Yiu; Francis Y L Chin
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Journal:  Nature       Date:  2005-07-31       Impact factor: 49.962

4.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

5.  The MaSuRCA genome assembler.

Authors:  Aleksey V Zimin; Guillaume Marçais; Daniela Puiu; Michael Roberts; Steven L Salzberg; James A Yorke
Journal:  Bioinformatics       Date:  2013-08-29       Impact factor: 6.937

6.  Ray Meta: scalable de novo metagenome assembly and profiling.

Authors:  Sébastien Boisvert; Frédéric Raymond; Elénie Godzaridis; François Laviolette; Jacques Corbeil
Journal:  Genome Biol       Date:  2012-12-22       Impact factor: 13.583

7.  Abundant and diverse bacteria involved in DMSP degradation in marine surface waters.

Authors:  Erinn C Howard; Shulei Sun; Erin J Biers; Mary Ann Moran
Journal:  Environ Microbiol       Date:  2008-05-28       Impact factor: 5.491

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Authors:  Riccardo Vicedomini; Francesco Vezzi; Simone Scalabrin; Lars Arvestad; Alberto Policriti
Journal:  BMC Bioinformatics       Date:  2013-04-22       Impact factor: 3.169

  8 in total
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1.  Phylogenetically conserved resource partitioning in the coastal microbial loop.

Authors:  Samuel Bryson; Zhou Li; Francisco Chavez; Peter K Weber; Jennifer Pett-Ridge; Robert L Hettich; Chongle Pan; Xavier Mayali; Ryan S Mueller
Journal:  ISME J       Date:  2017-08-11       Impact factor: 10.302

2.  Proteomic Stable Isotope Probing Reveals Taxonomically Distinct Patterns in Amino Acid Assimilation by Coastal Marine Bacterioplankton.

Authors:  Samuel Bryson; Zhou Li; Jennifer Pett-Ridge; Robert L Hettich; Xavier Mayali; Chongle Pan; Ryan S Mueller
Journal:  mSystems       Date:  2016-04-26       Impact factor: 6.496

3.  Microbial Diversity and Putative Opportunistic Pathogens in Dishwasher Biofilm Communities.

Authors:  Prem Krishnan Raghupathi; Jerneja Zupančič; Asker Daniel Brejnrod; Samuel Jacquiod; Kurt Houf; Mette Burmølle; Nina Gunde-Cimerman; Søren J Sørensen
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