JOURNAL ARTICLE
Variation and taphonomic implications of composition in modern and fossil malacostracan cuticles (Decapoda: Malacostraca).
Published In: Journal of Crustacean Biology, 2023, v. 43, n. 3. P. 1 1 of 3
Database: Environment Complete 2 of 3
Authored By: Plotnick, Roy E; McCarroll, Steve 3 of 3
Abstract
The article focuses on the chemical composition and biomineralization of modern and fossil crustacean exoskeletons, emphasizing differences among body parts, taxa, and localities. Using scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS), the study analyzed major elements (calcium, magnesium, sodium, phosphorus) in exoskeletons of various crustaceans—including brachyuran and anomuran crabs, stomatopods, isopods, and shrimps—from Bermuda, Georgia (USA), and Lake Tanganyika (Burundi), as well as fossil specimens from Texas and South Dakota. Results show that claw tips are the thickest and most heavily mineralized regions with lower phosphorus and magnesium-to-calcium ratios, except in the land crab Gecarcinus lateralis, which exhibits elevated magnesium levels in denticles. Significant compositional differences exist between taxa (e.g., stomatopods have phosphate-rich cuticles) and between geographic locations, possibly linked to environmental factors like water temperature. Fossil crustaceans display increased phosphorus content due to diagenetic processes, highlighting composition as a key factor influencing crustacean fossil preservation and suggesting multiple independent evolutionary origins of biomineralization within Crustacea.
Additional Information
- Source:Journal of Crustacean Biology. 2023/09, Vol. 43, Issue 3, p1
- Document Type:Article
- Subject Area:Environmental Sciences
- Publication Date:2023
- ISSN:0278-0372
- DOI:10.1093/jcbiol/ruad047
- Accession Number:172443349
- Copyright Statement:Copyright of Journal of Crustacean Biology 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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