Evidence map›Paper›PMID 20426792›Full record

ReviewEcology letters2010

Integration of molecular functions at the ecosystemic level: breakthroughs and future goals of environmental genomics and post-genomics.

Philippe Vandenkoornhuyse, Alexis Dufresne, Achim Quaiser, Gwenola Gouesbet, Françoise Binet, André-Jean Francez, Stéphane Mahé, Myriam Bormans, Yvan Lagadeuc, Ivan Couée

Abstract readReview
In one paragraph

Review in Ecology letters, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Environmental microbiology as a mosaic of explored ecosystems and issues.Environmental science and pollution research international · 2015
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

10 authors.

Philippe VandenkoornhuyseUMR ECOBIO, Centre National de la Recherche Scientifique, Université de Rennes, France. philippe.vandenkoornhuyse@univ-rennes1.fr
Alexis Dufresne
Achim Quaiser
Gwenola Gouesbet
Françoise Binet
André-Jean Francez
Stéphane Mahé
Myriam Bormans
Yvan Lagadeuc
Ivan Couée

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental genomics and genome-wide expression approaches deal with large-scale sequence-based information obtained from environmental samples, at organismal, population or community levels. To date, environmental genomics, transcriptomics and proteomics are arguably the most powerful approaches to discover completely novel ecological functions and to link organismal capabilities, organism-environment interactions, functional diversity, ecosystem processes, evolution and Earth history. Thus, environmental genomics is not merely a toolbox of new technologies but also a source of novel ecological concepts and hypotheses. By removing previous dichotomies between ecophysiology, population ecology, community ecology and ecosystem functioning, environmental genomics enables the integration of sequence-based information into higher ecological and evolutionary levels. However, environmental genomics, along with transcriptomics and proteomics, must involve pluridisciplinary research, such as new developments in bioinformatics, in order to integrate high-throughput molecular biology techniques into ecology. In this review, the validity of environmental genomics and post-genomics for studying ecosystem functioning is discussed in terms of major advances and expectations, as well as in terms of potential hurdles and limitations. Novel avenues for improving the use of these approaches to test theory-driven ecological hypotheses are also explored.

Indexed as

EcosystemEnvironmentMetagenomicsAnimalsComputational BiologyGene ExpressionProteomics

Identifiers

PMID20426792
PMCPMC2901524

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.