JOURNAL ARTICLE
Is there a tapetum in the hornwort capsule? Evidence from the sporogenesis of Phaeoceros.
Published In: Botanical Journal of the Linnean Society, 2025, v. 2027, n. 4. P. 362 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Filin, Vladimir R; Platonova, Anna G 3 of 3
Abstract
This article investigates the presence and nature of the tapetum—a specialized nutritive tissue supporting spore development—in the hornwort Phaeoceros laevis, addressing longstanding contradictions about its existence in bryophytes. Through detailed ultrastructural and developmental analyses using light, fluorescence, scanning, and transmission electron microscopy, the study finds that neither pseudoelaters (sterile cells in the capsule), the lining layer of the capsule wall, nor the outer layer of the columella exhibit the characteristic secretory ultrastructure of a true tapetum as defined in mosses and tracheophytes. Instead, sporocytes accumulate nutrients early and develop largely autonomously within special walls, while the mucilaginous matrix in the capsule locule facilitates nutrient transfer from the gametophyte via the capsule wall and columella, which show structural specialization for upward transport but not secretion. The authors conclude that a true tapetum is absent in hornworts, suggesting its evolutionary origin postdates the divergence of hornworts and that the tapetum likely evolved as an accessory tissue in embryophytes to assume functions previously performed by spores themselves.
Additional Information
- Source:Botanical Journal of the Linnean Society. 2025/04, Vol. 2027, Issue 4, p362
- Document Type:Article
- Subject Area:Botany
- Publication Date:2025
- ISSN:0024-4074
- DOI:10.1093/botlinnean/boae052
- Accession Number:184296680
- Copyright Statement:Copyright of Botanical 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.