期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2014
卷号：111
期号：44
页码：E4736-E4742
DOI：10.1073/pnas.1416574111
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：SignificanceUnless there are strong constraints, the probability of complex organs originating multiple times through similar trajectories should be vanishingly small. Here, we report that similar light-producing organs (photophores) evolved separately in two squid species, yet each organ expresses similar genes at comparable levels. Gene expression is so similar that overall expression levels alone can predict organ identity, even in separately evolved traits of squid species separated by tens of millions of years. The striking similarity of expression of hundreds of genes in distinct photophores indicates complex trait evolution may sometimes be more constrained and predictable than expected, either because of internal factors, like a limited array of suitable genetic building blocks, or external factors, like natural selection favoring an optimum. Despite contingency in life's history, the similarity of evolutionarily convergent traits may represent predictable solutions to common conditions. However, the extent to which overall gene expression levels (transcriptomes) underlying convergent traits are themselves convergent remains largely unexplored. Here, we show strong statistical support for convergent evolutionary origins and massively parallel evolution of the entire transcriptomes in symbiotic bioluminescent organs (bacterial photophores) from two divergent squid species. The gene expression similarities are so strong that regression models of one species' photophore can predict organ identity of a distantly related photophore from gene expression levels alone. Our results point to widespread parallel changes in gene expression evolution associated with convergent origins of complex organs. Therefore, predictable solutions may drive not only the evolution of novel, complex organs but also the evolution of overall gene expression levels that underlie them.
