Contributors | Affiliation | Role |
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Dyhrman, Sonya T. | Lamont-Doherty Earth Observatory (LDEO) | Principal Investigator |
Van Mooy, Benjamin A.S. | Woods Hole Oceanographic Institution (WHOI) | Co-Principal Investigator |
Frischkorn, Kyle R. | Lamont-Doherty Earth Observatory (LDEO) | Student |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
The samples are composed of raw metatranscriptomic reads from acyl homoserine lactone (AHL) (quorum sensing) addition incubation experiments performed on Trichodesmium colonies collected in May 2014 on the 'PABST' cruise (R/V Atlantic Explorer AE1409) in the Sargasso Sea. We extracted prokaryotic RNA from triplicate control and +AHL samples, pooling together triplicate samples and sequencing 60 million paired end reads.
Links to the NCBI GenBank BioProjects are provided.
Raw reads can also be found on the NCBI SRA under accession code PRJNA450995.
Samples were collected on cruise AE1409. Trichodesmium colonies were obtained by net tow (130 micron mesh) and serially washed in sterile surface seawater. Clean colonies were then incubated with or without a cocktail of quorum sensing molecules. After four hours of incubation, colonies were placed onto filters and stored in liquid nitrogen until RNA was extracted and submitted for sequencing at the Columbia University Genome Center.
Methods: We extracted prokaryotic RNA from triplicate control and +AHL samples by first adding approximately 500 μL of glass beads to each cryotube and bead beating with a vortex adaptor for 5 minutes. We extracted total RNA using the yeast protocol from the Qiagen RNeasy Mini Kit with the added on-column DNase digestion using the RNase-free DNase Kit (Qiagen, Hilden, Germany). We processed DNase-treated total RNA through a MICROBEnrich kit following the manufacturer’s instructions (ThermoFisher Scientific, Waltham, MA, USA). We removed ribosomal RNA using a Ribo-Zero Magnetic Kit optimized for bacteria (Illumina, San Diego, CA, USA) following the manufacturer’s instructions. Finally, we purified the prokaryotic RNA extract using the RNeasy MinElute Cleanup Kit by following manufacturer instructions and eluting in 14 μL water (Qiagen). We pooled together triplicate samples, and pooled RNA extracts were quantified using the Take3 Nucleic Acid Quantification program and a Biotek plate reader. To further assess quality of pooled triplicate RNA samples, we used a BioAnalyzer and the RNA 6000 Nano Kit (Agilent Technologies, Santa Clara, CA, USA). The JP Sulzberger Genome Center at Columbia University carried out RNA sequencing with a depth of 60 million paired end reads using an Illumina HiSeq protocol.
Quality control: We trimmed sequence reads and normalized following the Eel Pond Protocol for mRNAseq assembly. To obtain read counts for each sample, we mapped cleaned forward and reverse reads to metagenome assemblies from the same sampling locations that were previously characterized and clustered into orthologous groups (OGs). We carried out mapping using RSEM with the paired-end and Bowtie2 parameters. We summed counts for previously determined OGs for Trichodesmium and epibiont genome bins separately. We determined significant changes in OG relative abundance between control and +AHL samples by comparing control and sample treatments using a stringent empirical Bayes approach called Analysis of Sequence Counts (ASC). This approach evaluates the posterior probability associated with a given fold change across pooled triplicates, and performs similarly, but conservatively, on replicated and unreplicated sample datasets. OGs were considered significantly higher or lower if they had a 95% or higher posterior probability of a fold change greater than 2 between treatment and control. Taxonomic relative abundance estimates for metagenome samples were previously calculated by multiplying the length of each contig in a genome bin by read mapping coverage, and then summing those values for all contigs. Please refer to the manuscript related to this metadata for more details and references.
BCO-DMO Processing: (to be edited)
Added conventional header with dataset name, PI name, version date.
Modified parameter names to conform with BCO-DMO naming conventions.
File |
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tricho_AHL.csv (Comma Separated Values (.csv), 2.58 KB) MD5:df80451b7caeadb4e1875a92c390070b Primary data file for dataset ID 746654 |
Parameter | Description | Units |
bioproject_accession | collection of biological data related to a single initiative | unitless |
biosample_accession | code for accessing short read sequence data from NCBI | unitless |
library_ID | sample name code | unitless |
title | description and type of the sample | unitless |
library_strategy | type of sequencing performed to generate the sample | unitless |
library_source | type of sequence data represented by the sample | unitless |
library_selection | how reads were prescreened (unspecified indicates reads were not screened) | unitless |
library_layout | whether sequenced reads were single or paired-end | unitless |
platform | sequencing machine platform used to generate reads | unitless |
instrument_model | make and model of the sequencing machine platform used | unitless |
design_description | quick methods description detailing how genetic material was prepared prior to sequencing | unitless |
filetype | type of file the reads are stored as | unitless |
assembly | whether or not there is a linked assembly (blank indicates that no assembly is provided) | unitless |
filename | name of the first read file | unitless |
filename2 | name of the second read file | unitless |
filename3 | name of the third read file | unitless |
filename4 | name of the fourth read file | unitless |
filename5 | additional read file (if present) | unitless |
filename6 | additional read file (if present) | unitless |
filename7 | additional read file (if present) | unitless |
filename8 | additional read file (if present) | unitless |
Dataset-specific Instrument Name | Illumina Miseq platform |
Generic Instrument Name | Automated DNA Sequencer |
Generic Instrument Description | General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step. |
Dataset-specific Instrument Name | net |
Generic Instrument Name | Plankton Net |
Dataset-specific Description | The net had 130 micron mesh and was used to collect Trichodesmium colonies. |
Generic Instrument Description | A Plankton Net is a generic term for a sampling net that is used to collect plankton. It is used only when detailed instrument documentation is not available. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Thermal Cycler |
Generic Instrument Description | A thermal cycler or "thermocycler" is a general term for a type of laboratory apparatus, commonly used for performing polymerase chain reaction (PCR), that is capable of repeatedly altering and maintaining specific temperatures for defined periods of time. The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. They can also be used to facilitate other temperature-sensitive reactions, including restriction enzyme digestion or rapid diagnostics.
(adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html) |
Website | |
Platform | R/V Atlantic Explorer |
Start Date | 2014-05-08 |
End Date | 2014-05-26 |
Description | May 2014 cruise conducted as part of the "Dissolved Phosphorus Processing by Trichodesmium Consortia: Quantitative Partitioning, Role of Microbial Coordination, and Impact on Nitrogen Fixation" project. |
Description from NSF award abstract:
Colonies of the cyanbacterium Trichodesmium are responsible for a large fraction of N2 fixation in nutrient-poor, open-ocean ecosystems, ultimately fueling primary production in both Trichodesmium and in the broader planktonic community. However, in some parts of the ocean, the scarcity of dissolved phosphorus limits rates of Trichodesmium N2 fixation. Trichodesmium colonies employ an arsenal of strategies to mitigate the effects of phosphorus limitation, and the consortia of epibiotic bacteria in the colonies may play a significant role in phosphorus acquisition.
In this study, researchers from Woods Hole Oceanographic Institution and Columbia University will use metagenomic and metatranscriptomic sequencing to investigate how phosphorus metabolism is coordinated in Trichodesmium consortia, and to discern the role of quorum sensing in phosphorus acquisition and partitioning. Results from this study are expected to expand understanding of Trichodesmium from a monospecific colony whose primary function is fixing CO2 and N2 toward a unique planktonic consortium with a diverse, complex, and highly coordinated overall metabolism that exerts profound control over the cycling of inorganic and organic nutrients in the oligotrophic upper ocean.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |