Evidence map›Paper›PMID 20083632›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2010

Genotype-phenotype mapping and the end of the 'genes as blueprint' metaphor.

Massimo Pigliucci

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Article
  2. Review
  3. ΦX174 bacteriophage viability predicted by protein biophysical modeling.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Homeotic and nonhomeotic patterns in the tetrapod vertebral formula.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Modelling the evolution of novelty: a review.Essays in biochemistry · 2022
    Article
  15. Article
  16. Genetic architecture of dispersal and local adaptation drives accelerating range expansions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Review
  18. Article
  19. Review
  20. Article

11 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

1 author.

Massimo PigliucciDepartment of Philosophy, City University of New York-Lehman, NY, USA. massimo@platofootnote.org

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a now classic paper published in 1991, Alberch introduced the concept of genotype-phenotype (G-->P) mapping to provide a framework for a more sophisticated discussion of the integration between genetics and developmental biology that was then available. The advent of evo-devo first and of the genomic era later would seem to have superseded talk of transitions in phenotypic space and the like, central to Alberch's approach. On the contrary, this paper shows that recent empirical and theoretical advances have only sharpened the need for a different conceptual treatment of how phenotypes are produced. Old-fashioned metaphors like genetic blueprint and genetic programme are not only woefully inadequate but positively misleading about the nature of G-->P, and are being replaced by an algorithmic approach emerging from the study of a variety of actual G-->P maps. These include RNA folding, protein function and the study of evolvable software. Some generalities are emerging from these disparate fields of analysis, and I suggest that the concept of 'developmental encoding' (as opposed to the classical one of genetic encoding) provides a promising computational-theoretical underpinning to coherently integrate ideas on evolvability, modularity and robustness and foster a fruitful framing of the G-->P mapping problem.

Indexed as

Genetic Association StudiesModels, GeneticAlgorithmsAnimalsBiological EvolutionGene Regulatory NetworksGrowth and DevelopmentNucleic Acid ConformationProteinsRNAProteinsRNA

Identifiers

PMID20083632
PMCPMC2817137

What OpenQuestion holds

Textmetadata
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.