Evidence map›Paper›PMID 38704304›Full record

ReviewTrends in genetics : TIG2024

The molecular basis of phenotypic evolution: beyond the usual suspects.

Rong-Chien Lin, Bianca T Ferreira, Yao-Wu Yuan

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Distantly related bacteria share a rigid proteome allocation strategy with flexible enzyme kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. 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.

Rong-Chien LinDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA.
Bianca T FerreiraDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA.
Yao-Wu YuanDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA. Electronic address: yaowu.yuan@uconn.edu.

Funding

Development and evolution of self-organizing pigmentation patternsR01GM140092 · NIGMS · UNIVERSITY OF CONNECTICUT STORRS · PI YUAN, YAOWU · 2021 to 2024
$1.4M
NIGMS NIH HHS R01 GM140092
6 · The paper itself

Abstract

It has been well documented that mutations in coding DNA or cis-regulatory elements underlie natural phenotypic variation in many organisms. However, the development of sophisticated functional tools in recent years in a wide range of traditionally non-model systems have revealed many 'unusual suspects' in the molecular bases of phenotypic evolution, including upstream open reading frames (uORFs), cryptic splice sites, and small RNAs. Furthermore, large-scale genome sequencing, especially long-read sequencing, has identified a cornucopia of structural variation underlying phenotypic divergence and elucidated the composition of supergenes that control complex multi-trait polymorphisms. In this review article we highlight recent studies that demonstrate this great diversity of molecular mechanisms producing adaptive genetic variation and the panoply of evolutionary paths leading to the 'grandeur of life'.

Indexed as

Evolution, MolecularOpen Reading FramesPhenotypeAnimalsGenetic VariationHumansMutationsmall RNAsplice variantstructural variationsupergeneuORF

Identifiers

PMID38704304
PMCPMC11303103

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.