Evidence map›Paper›PMID 36280782›Full record

ArticleNature ecology & evolution2022

Climatic similarity and genomic background shape the extent of parallel adaptation in Timema stick insects.

Samridhi Chaturvedi, Zachariah Gompert, Jeffrey L Feder, Owen G Osborne, Moritz Muschick, Rüdiger Riesch, Víctor Soria-Carrasco, Patrik Nosil

Open access · greenAbstract read
In one paragraph

Article in Nature ecology & evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.8field-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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Adaptive molecular convergence is pervasive across deep time and largely decoupled from phenotypic convergence.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Review
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  7. Article
  8. Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Genetic bias in repeated evolution of pigment loss in cave populations of the Asellus aquaticus species complex.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Complex evolutionary processes maintain an ancient chromosomal inversion.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

8 authors at 6 institutions in 4 countries.

Samridhi ChaturvediDepartment of Integrative Biology, University of California, Berkeley, CA, USA. samridhi.chaturvedi@gmail.com.ORCID http://orcid.org/0000-0002-9181-4338
Zachariah GompertDepartment of Biology and Ecology Center, Utah State University, Logan, UT, USA. zach.gompert@usu.edu.ORCID http://orcid.org/0000-0003-2248-2488
Jeffrey L FederDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.ORCID http://orcid.org/0000-0002-8797-980X
Owen G OsborneMolecular Ecology and Evolution Bangor, Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, UK.ORCID http://orcid.org/0000-0002-1213-1169
Moritz MuschickAquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-7782-7503
Rüdiger RieschDepartment of Biological Sciences, Royal Holloway University of London, Egham, UK.ORCID http://orcid.org/0000-0002-0223-1254
Víctor Soria-CarrascoThe John Ines Center, Norwich Research Park, Norwich, UK.ORCID http://orcid.org/0000-0002-6568-5544
Patrik NosilDepartment of Biology and Ecology Center, Utah State University, Logan, UT, USA.
Utah State University · USBangor University · GBNorwich Research Park · GBRoyal Holloway University of London · GBUniversity of Bern · CHUniversity of Notre Dame · US

Funding

European Research Council 770826
6 · The paper itself

Abstract

Evolution can repeat itself, resulting in parallel adaptations in independent lineages occupying similar environments. Moreover, parallel evolution sometimes, but not always, uses the same genes. Two main hypotheses have been put forth to explain the probability and extent of parallel evolution. First, parallel evolution is more likely when shared ecologies result in similar patterns of natural selection in different taxa. Second, parallelism is more likely when genomes are similar because of shared standing variation and similar mutational effects in closely related genomes. Here we combine ecological, genomic, experimental and phenotypic data with Bayesian modelling and randomization tests to quantify the degree of parallelism and its relationship with ecology and genetics. Our results show that the extent to which genomic regions associated with climate are parallel among species of Timema stick insects is shaped collectively by shared ecology and genomic background. Specifically, the extent of genomic parallelism decays with divergence in climatic conditions (that is, habitat or ecological similarity) and genomic similarity. Moreover, we find that climate-associated loci are likely subject to selection in a field experiment, overlap with genetic regions associated with cuticular hydrocarbon traits and are not strongly shaped by introgression between species. Our findings shed light on when evolution is most expected to repeat itself.

Indexed as

InsectaSelection, GeneticAnimalsBayes TheoremGenomeGenomics

Identifiers

PMID36280782
PMCPMC7613875
OpenAlexW4307189121

What OpenQuestion holds

Textmetadata
LicenceTDM
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.