YoVDO

Entangled Adaptive Landscapes Facilitate Exaptation in Gene Regulation

Offered By: Santa Fe Institute via YouTube

Tags

Evolutionary Biology Courses Genetics Courses Molecular Biology Courses Evolution Courses Gene Regulation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the fascinating world of exaptation in Darwinian evolution through this illuminating lecture by Andreas Wagner from the University of Zurich and Santa Fe Institute. Delve into the concept of co-opting existing traits for new functions, a process crucial to evolutionary innovations ranging from eye lenses to antifreeze proteins. Examine the role of gene regulation in evolutionary advancements, focusing on transcription factor binding sites (TFBSs) and their potential for exaptive evolution. Discover the findings of a groundbreaking massively parallel experiment conducted to investigate the exaptive potential of bacterial TFBSs for three Escherichia coli transcription factors. Gain insights into the smooth and navigable adaptive landscapes revealed by the study, demonstrating how Darwinian evolution can create new binding sites through small, adaptive mutations. Explore the significance of transcriptional crosstalk in the diversification of bacterial gene regulation and its implications for evolutionary biology. Enhance your understanding of how new forms of gene regulation can evolve through exaptation, providing valuable insights into the mechanisms driving evolutionary innovations.

Syllabus

Entangled Adaptive Landscapes Facilitate Exaptation


Taught by

Santa Fe Institute

Tags

Related Courses

Introduction to Genetics and Evolution
Duke University via Coursera
Our Earth: Its Climate, History, and Processes
University of Manchester via Coursera
Emergence of Life
University of Illinois at Urbana-Champaign via Coursera
AP® Environmental Science - Part 1: The Living World
Rice University via edX
AP® Biology - Part 3: Evolution and Diversity
Rice University via edX