Evidence map›Paper›PMID 25635041›Full record

ReviewGenome biology and evolution2015

An evolutionary classification of genomic function.

Dan Graur, Yichen Zheng, Ricardo B R Azevedo

Open access · goldAbstract readReview
In one paragraph

Review in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 89 citations in OpenAlex.

  1. Functional Prediction of Epitranscriptome.Methods in molecular biology (Clifton, N.J.) · 2026
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  9. Review
  10. Article
  11. Cells · 2021
    Review
  12. Article
  13. The Genomics of Plant Satellite DNA.Progress in molecular and subcellular biology · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Are Antisense Proteins in Prokaryotes Functional?Frontiers in molecular biosciences · 2020
    Article
  18. Article
  19. Deep Conservation ofThe Plant cell · 2019
    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

3 authors at 1 institution in 1 country.

Dan GraurDepartment of Biology and Biochemistry, University of Houston dgraur@uh.edu.
Yichen ZhengDepartment of Biology and Biochemistry, University of Houston.
Ricardo B R AzevedoDepartment of Biology and Biochemistry, University of Houston.
University of Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pronouncements of the ENCODE Project Consortium regarding "junk DNA" exposed the need for an evolutionary classification of genomic elements according to their selected-effect function. In the classification scheme presented here, we divide the genome into "functional DNA," that is, DNA sequences that have a selected-effect function, and "rubbish DNA," that is, sequences that do not. Functional DNA is further subdivided into "literal DNA" and "indifferent DNA." In literal DNA, the order of nucleotides is under selection; in indifferent DNA, only the presence or absence of the sequence is under selection. Rubbish DNA is further subdivided into "junk DNA" and "garbage DNA." Junk DNA neither contributes to nor detracts from the fitness of the organism and, hence, evolves under selective neutrality. Garbage DNA, on the other hand, decreases the fitness of its carriers. Garbage DNA exists in the genome only because natural selection is neither omnipotent nor instantaneous. Each of these four functional categories can be 1) transcribed and translated, 2) transcribed but not translated, or 3) not transcribed. The affiliation of a DNA segment to a particular functional category may change during evolution: Functional DNA may become junk DNA, junk DNA may become garbage DNA, rubbish DNA may become functional DNA, and so on; however, determining the functionality or nonfunctionality of a genomic sequence must be based on its present status rather than on its potential to change (or not to change) in the future. Changes in functional affiliation are divided into pseudogenes, Lazarus DNA, zombie DNA, and Jekyll-to-Hyde DNA.

Indexed as

Evolution, MolecularGenomicsDNADNA, IntergenicGenomeTerminology as TopicDNADNA, IntergenicFunctional DNAgarbage DNAindifferent DNAJekyll-to-Hyde DNAjunk DNALazarus DNAliteral DNApseudogenerubbish DNAzombie DNA

Identifiers

PMID25635041
PMCPMC5322545
OpenAlexW2115446844

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.