About 200 million years after the broader separation of animals, plants, and fungi, red and green algae evolved from a common ancestor. Green algae later gave rise to land plants, with all land plants descending from green algae around 475 million years ago. Both green algae and land plants share chlorophyll, a key to their photosynthetic abilities. Green algae are generally considered the first true plants, while red algae remain classified as algae.
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Red-Green Algae Ancestors Split
By Michael Alan Prestwood
Sat 23 Nov 2024
Published 1 year ago.
Updated 2 months ago.
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Red-Green Algae Ancestors Split
1.5 Billion Years Ago (+/- 100 million years)
Chloroplast refinement, chlorophyll variants
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The Archaeplastida Lineage:
The Archaeplastida lineage, which includes red and green algae as well as land plants, began with a eukaryotic cell engulfing a cyanobacterium—a process known as primary endosymbiosis. This event laid the foundation for plastids (organelles like chloroplasts) and the rise of photosynthetic eukaryotes. Over time, the Archaeplastida diversified, leading to the divergence of red algae (Rhodophyta) and green algae (Chlorophyta) approximately 1.5 billion years ago. -
Evolutionary Context:
This split occurred roughly 200 million years after the broader divergence of eukaryotic supergroups, including animals, plants, and fungi (~1.7 billion years ago). While red algae adapted to marine environments with pigments like phycoerythrin for deep-water photosynthesis, green algae thrived in shallower waters with chlorophylls a and b, eventually giving rise to land plants. These evolutionary innovations played a crucial role in shaping Earth’s biosphere, paving the way for modern ecosystems.
— map / TST —
Prestwood writes on science-first philosophy, with particular attention to the convergence of disciplines. Drawing on his TST Framework, his work emphasizes rational inquiry grounded in empirical observation while engaging questions at the edges of established knowledge. With TouchstoneTruth positioned as a living touchstone, this work aims to contribute reliable, evolving analysis in an emerging AI era where the credibility of information is increasingly contested.
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