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Deep Diversity: Extensive Variation in the Components of Complex Visual Systems across Animals

Journal

CELLS
Volume 11, Issue 24, Pages -

Publisher

MDPI
DOI: 10.3390/cells11243966

Keywords

eye evolution; opsin; photoreceptor; phototransduction; visual cycle

Categories

Funding

  1. NSF [DEB-2153773, IOS-1754770]
  2. PPFP

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Understanding the molecular basis of the evolution of complex systems is a fundamental topic in biology. Animal eyes and phototransduction are exceptional systems to study this question. Comparative studies have revealed the deep diversity of underlying components in visual systems across different taxa. Unbiased genome-wide comparisons and functional validation are necessary to better understand biodiversity and its evolution.
Understanding the molecular underpinnings of the evolution of complex (multi-part) systems is a fundamental topic in biology. One unanswered question is to what the extent do similar or different genes and regulatory interactions underlie similar complex systems across species? Animal eyes and phototransduction (light detection) are outstanding systems to investigate this question because some of the genetics underlying these traits are well characterized in model organisms. However, comparative studies using non-model organisms are also necessary to understand the diversity and evolution of these traits. Here, we compare the characteristics of photoreceptor cells, opsins, and phototransduction cascades in diverse taxa, with a particular focus on cnidarians. In contrast to the common theme of deep homology, whereby similar traits develop mainly using homologous genes, comparisons of visual systems, especially in non-model organisms, are beginning to highlight a deep diversity of underlying components, illustrating how variation can underlie similar complex systems across taxa. Although using candidate genes from model organisms across diversity was a good starting point to understand the evolution of complex systems, unbiased genome-wide comparisons and subsequent functional validation will be necessary to uncover unique genes that comprise the complex systems of non-model groups to better understand biodiversity and its evolution.

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