Organic molecules preserved in ancient rocks can function as ‘biomarkers’, providing a unique window into the evolution of life. While biomarkers demonstrate intriguing patterns through the Neoproterozoic, it can be difficult to constrain particular biomarkers to specific organisms. The goal of the present paper is to demonstrate the utility of biomarkers when we focus less on which organisms produce them, and more on how their underlying genetic pathways evolved. Using this approach, it becomes clear that there are discrepancies between the biomarker, fossil, and molecular records. However, these discrepancies probably represent long time periods between the diversification of eukaryotic groups through the Neoproterozoic and their eventual rise to ecological significance. This ‘long fuse’ hypothesis contrasts with the adaptive radiations often associated with the development of complex life.
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Cover Image
Cover Image
Gently inclined strata of the upper Bylot Supergroup in Edwin Inlet, Baffin Island (Canada). Bangiomorpha pubescens, a fossil red alga and the oldest taxonomically resolved eukaryote, occurs in the Bylot Supergroup and equivalent rocks in northeastern Canada. Recent radiometric dating has tightly constrained the first appearance of this fossil to ca. 1045 million years ago. Image kindly provided by Galen Halverson (McGill University), who with his co-authors in this issue, reviews the methods by which the Proterozoic time scale is dated and provide an up-to-date compilation of age constraints on key fossil first and last appearances, geological events, and horizons during the Tonian and Cryogenian periods. Their article also develops a new age model for a ca. 819–740 Ma composite section in Svalbard. For details, see pages 137–147.
The slow rise of complex life as revealed through biomarker genetics
Timothy W. Lyons, Mary L. Droser, Kimberly V. Lau, Susannah M. Porter, David A. Gold; The slow rise of complex life as revealed through biomarker genetics. Emerg Top Life Sci 28 September 2018; 2 (2): 191–199. doi: https://doi.org/10.1042/ETLS20170150
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