Evidence map›Paper›PMID 36829597›Full record

ReviewBiology2023

Genomic Signature in Evolutionary Biology: A Review.

Rebeca de la Fuente, Wladimiro Díaz-Villanueva, Vicente Arnau, Andrés Moya

Abstract readReview
In one paragraph

Review in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Genome research · 2025
    Review
  8. Review
  9. Article
  10. Comparative Analysis of Codon Usage Bias in SixInternational journal of molecular sciences · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. 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

4 authors.

Rebeca de la FuenteInstitute of Integrative Systems Biology (I2Sysbio), University of Valencia and Spanish Research Council (CSIC), 46980 Valencia, Spain.
Wladimiro Díaz-VillanuevaInstitute of Integrative Systems Biology (I2Sysbio), University of Valencia and Spanish Research Council (CSIC), 46980 Valencia, Spain.ORCID 0000-0002-8970-4367
Vicente ArnauInstitute of Integrative Systems Biology (I2Sysbio), University of Valencia and Spanish Research Council (CSIC), 46980 Valencia, Spain.ORCID 0000-0002-1388-6141
Andrés MoyaInstitute of Integrative Systems Biology (I2Sysbio), University of Valencia and Spanish Research Council (CSIC), 46980 Valencia, Spain.ORCID 0000-0002-2867-1119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organisms are unique physical entities in which information is stored and continuously processed. The digital nature of DNA sequences enables the construction of a dynamic information reservoir. However, the distinction between the hardware and software components in the information flow is crucial to identify the mechanisms generating specific genomic signatures. In this work, we perform a bibliometric analysis to identify the different purposes of looking for particular patterns in DNA sequences associated with a given phenotype. This study has enabled us to make a conceptual breakdown of the genomic signature and differentiate the leading applications. On the one hand, it refers to gene expression profiling associated with a biological function, which may be shared across taxa. This signature is the focus of study in precision medicine. On the other hand, it also refers to characteristic patterns in species-specific DNA sequences. This interpretation plays a key role in comparative genomics, identifying evolutionary relationships. Looking at the relevant studies in our bibliographic database, we highlight the main factors causing heterogeneities in genome composition and how they can be quantified. All these findings lead us to reformulate some questions relevant to evolutionary biology.

Indexed as

alignment-free methodschaos game representationevolutionary biologygenome sequencegenomic signature

Identifiers

PMID36829597
PMCPMC9953303

What OpenQuestion holds

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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.