Evidence map›Paper›PMID 18725995›Full record

ArticlePloS one2008

Detection of large numbers of novel sequences in the metatranscriptomes of complex marine microbial communities.

Jack A Gilbert, Dawn Field, Ying Huang, Rob Edwards, Weizhong Li, Paul Gilna, Ian Joint

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed, 1 pooled it
16.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

138 citing papers in PubMed, 1 synthesis or guideline pooled it, 398 citations in OpenAlex.

  1. Pooled it
  2. International journal of microbiology · 2026
    Review
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  13. Global Distribution and Richness ofFrontiers in microbiology · 2021
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  14. Antimicrobial Resistance in Veterinary Medicine: An Overview.International journal of molecular sciences · 2020
    Review
  15. Article
  16. Quantitative models of nitrogen-fixing organisms.Computational and structural biotechnology journal · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Article

78 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Jack A GilbertPlymouth Marine Laboratory, Prospect Place, Plymouth, United Kingdom. jagi@pml.ac.uk
Dawn Field
Ying Huang
Rob Edwards
Weizhong Li
Paul Gilna
Ian Joint
University of California, San Diego · USPlymouth Marine Laboratory · GBArgonne National Laboratory · USUK Centre for Ecology & Hydrology · GB

Funding

PHS HHS HHSN266200400042C
6 · The paper itself

Abstract

backgroundSequencing the expressed genetic information of an ecosystem (metatranscriptome) can provide information about the response of organisms to varying environmental conditions. Until recently, metatranscriptomics has been limited to microarray technology and random cloning methodologies. The application of high-throughput sequencing technology is now enabling access to both known and previously unknown transcripts in natural communities. METHODOLOGY/PRINCIPAL

findingsWe present a study of a complex marine metatranscriptome obtained from random whole-community mRNA using the GS-FLX Pyrosequencing technology. Eight samples, four DNA and four mRNA, were processed from two time points in a controlled coastal ocean mesocosm study (Bergen, Norway) involving an induced phytoplankton bloom producing a total of 323,161,989 base pairs. Our study confirms the finding of the first published metatranscriptomic studies of marine and soil environments that metatranscriptomics targets highly expressed sequences which are frequently novel. Our alternative methodology increases the range of experimental options available for conducting such studies and is characterized by an exceptional enrichment of mRNA (99.92%) versus ribosomal RNA. Analysis of corresponding metagenomes confirms much higher levels of assembly in the metatranscriptomic samples and a far higher yield of large gene families with >100 members, approximately 91% of which were novel. CONCLUSIONS/SIGNIFICANCE: This study provides further evidence that metatranscriptomic studies of natural microbial communities are not only feasible, but when paired with metagenomic data sets, offer an unprecedented opportunity to explore both structure and function of microbial communities--if we can overcome the challenges of elucidating the functions of so many never-seen-before gene families.

Indexed as

EcosystemGene Expression ProfilingSeawaterWater MicrobiologyAnimalsDNADNA, ComplementaryNorwayOpen Reading FramesPlanktonPolymerase Chain ReactionReproducibility of ResultsRNA, MessengerDNADNA, ComplementaryRNA, Messenger

Identifiers

PMID18725995
PMCPMC2518522
OpenAlexW2114548104

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.