JOURNAL ARTICLE
Illusion of flight? Absence, evidence and the age of winged insects.
Published In: Biological Journal of the Linnean Society, 2023, v. 138, n. 2. P. 143 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Schachat, Sandra R; Goldstein, Paul Z; Desalle, Rob; Bobo, Dean M; Boyce, C Kevin; Payne, Jonathan L.; Labandeira, Conrad C. 3 of 3
Abstract
This article focuses on evaluating the discrepancy between the fossil record and molecular phylogenetic estimates regarding the origin of winged insects (Pterygota). While the earliest definitive pterygote fossils date to the mid-Carboniferous (~328–324 million years ago), molecular studies often suggest an origin during the Silurian or Devonian (~440–370 million years ago), implying a substantial ~50–100 million-year gap in the fossil record. Through multiple analyses—including comparative fossil occurrence bootstrapping, Bayesian age estimation with PyRate, re-analyses of molecular divergence times using different fossil calibration datasets, and simulations of fossil record completeness—the study finds little support for explanations such as sampling bias, preservation bias, or small body size to account for this gap. Instead, the authors suggest that the older molecular age estimates likely result from analytical artifacts related to fossil calibration choices, taxon sampling, and rate heterogeneity in molecular evolution, concluding that crown-group Pterygota most plausibly originated in the Late Mississippian (Late Carboniferous), closely aligning with their first fossil appearances.
Additional Information
- Source:Biological Journal of the Linnean Society. 2023/02, Vol. 138, Issue 2, p143
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:0024-4066
- DOI:10.1093/biolinnean/blac137
- Accession Number:161878309
- Copyright Statement:Copyright of Biological Journal of the Linnean Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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