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Jellyfish didn’t need novel genes to take an evolutionary leap in complexity.
Some researchers are using a complexity framework thought to be purely theoretical to understand evolutionary dynamics in biological and computational systems.
On November 16, 2018, more than 200 readers joined writers and editors from Quanta Magazine for a wide-ranging panel discussion that examined the newest ideas in fundamental physics, biology and mathematics research.
How does evolution select the fittest “individuals” when they are ecosystems made up of hosts and their microbiomes? Biologist debate the need to revise theories.
Puzzle solvers explored how evolution may have used negative and positive control mechanisms to shape the conflicting parental functions of reproduction and child rearing.
For 50 years, evolutionary theory has emphasized the importance of neutral mutations rather than adaptive ones at the level of DNA. Real genomic data challenges that assumption.
Two dynamic, seemingly opposing forces likely played an important role in the evolution of reproduction and child rearing in social animals like bees and humans.
A newly discovered mechanism may enable viruses to shuttle genes between bacteria 1,000 times as often as was thought — making them a major force in those cells’ evolution.