Evidence map›Paper›PMID 26005436›Full record

ArticleFrontiers in microbiology2015

Multidimensional metrics for estimating phage abundance, distribution, gene density, and sequence coverage in metagenomes.

Ramy K Aziz, Bhakti Dwivedi, Sajia Akhter, Mya Breitbart, Robert A Edwards

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Insertion sequences enrichment in extreme Red sea brine pool vent.Extremophiles : life under extreme conditions · 2017
    Article
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 2 countries.

Ramy K AzizDepartment of Computer Science, San Diego State University San Diego, CA, USA ; Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University Cairo, Egypt ; Computing, Environment, and Life Sciences, Argonne National Laboratory Argonne, IL, USA.
Bhakti DwivediCollege of Marine Science, University of South Florida St. Petersburg St. Petersburg, FL, USA.
Sajia AkhterDepartment of Computer Science, San Diego State University San Diego, CA, USA.
Mya BreitbartCollege of Marine Science, University of South Florida St. Petersburg St. Petersburg, FL, USA.
Robert A EdwardsDepartment of Computer Science, San Diego State University San Diego, CA, USA ; Computing, Environment, and Life Sciences, Argonne National Laboratory Argonne, IL, USA.
San Diego State University · USCollege of Marin · USUniversity of South Florida St. Petersburg · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phages are the most abundant biological entities on Earth and play major ecological roles, yet the current sequenced phage genomes do not adequately represent their diversity, and little is known about the abundance and distribution of these sequenced genomes in nature. Although the study of phage ecology has benefited tremendously from the emergence of metagenomic sequencing, a systematic survey of phage genes and genomes in various ecosystems is still lacking, and fundamental questions about phage biology, lifestyle, and ecology remain unanswered. To address these questions and improve comparative analysis of phages in different metagenomes, we screened a core set of publicly available metagenomic samples for sequences related to completely sequenced phages using the web tool, Phage Eco-Locator. We then adopted and deployed an array of mathematical and statistical metrics for a multidimensional estimation of the abundance and distribution of phage genes and genomes in various ecosystems. Experiments using those metrics individually showed their usefulness in emphasizing the pervasive, yet uneven, distribution of known phage sequences in environmental metagenomes. Using these metrics in combination allowed us to resolve phage genomes into clusters that correlated with their genotypes and taxonomic classes as well as their ecological properties. We propose adding this set of metrics to current metaviromic analysis pipelines, where they can provide insight regarding phage mosaicism, habitat specificity, and evolution.

Indexed as

bacteriophageecologygenomicsmetagenomicsvirus

Identifiers

PMID26005436
PMCPMC4424905
OpenAlexW1565042634

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.