Evidence map›Paper›PMID 36878987›Full record

ArticleNature ecology & evolution2023

Divergent vertebral formulae shape the evolution of axial complexity in mammals.

Yimeng Li, Andrew Brinkworth, Emily Green, Jack Oyston, Matthew Wills, Marcello Ruta

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Evolvability in vertebrate segmentation.Seminars in cell & developmental biology · 2025
    Review
  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
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

6 authors.

Yimeng LiMilner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK.
Andrew BrinkworthMilner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK.ORCID 0000-0002-3265-8793
Emily GreenJoseph Banks Laboratories, Department of Life Sciences, University of Lincoln, Lincoln, UK.
Jack OystonMilner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK.ORCID 0000-0002-8291-7271
Matthew WillsMilner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK. bssmaw@bath.ac.uk.
Marcello RutaJoseph Banks Laboratories, Department of Life Sciences, University of Lincoln, Lincoln, UK. mruta@lincoln.ac.uk.ORCID 0000-0002-6151-0704

Funding

RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/K006754/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/K015702/1
6 · The paper itself

Abstract

Complexity, defined as the number of parts and their degree of differentiation, is a poorly explored aspect of macroevolutionary dynamics. The maximum anatomical complexity of organisms has undoubtedly increased through evolutionary time. However, it is unclear whether this increase is a purely diffusive process or whether it is at least partly driven, occurring in parallel in most or many lineages and with increases in the minima as well as the means. Highly differentiated and serially repeated structures, such as vertebrae, are useful systems with which to investigate these patterns. We focus on the serial differentiation of the vertebral column in 1,136 extant mammal species, using two indices that quantify complexity as the numerical richness and proportional distribution of vertebrae across presacral regions and a third expressing the ratio between thoracic and lumbar vertebrae. We address three questions. First, we ask whether the distribution of complexity values in major mammal groups is similar or whether clades have specific signatures associated with their ecology. Second, we ask whether changes in complexity throughout the phylogeny are biased towards increases and whether there is evidence of driven trends. Third, we ask whether evolutionary shifts in complexity depart from a uniform Brownian motion model. Vertebral counts, but not complexity indices, differ significantly between major groups and exhibit greater within-group variation than recognized hitherto. We find strong evidence of a trend towards increasing complexity, where higher values propagate further increases in descendant lineages. Several increases are inferred to have coincided with major ecological or environmental shifts. We find support for multiple-rate models of evolution for all complexity metrics, suggesting that increases in complexity occurred in stepwise shifts, with evidence for widespread episodes of recent rapid divergence. Different subclades evolve more complex vertebral columns in different configurations and probably under different selective pressures and constraints, with widespread convergence on the same formulae. Further work should therefore focus on the ecological relevance of differences in complexity and a more detailed understanding of historical patterns.

Indexed as

Biological EvolutionMammalsAnimalsPhylogenySpine

Identifiers

PMID36878987
PMCPMC9998275

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Registered trials

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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.