can you observe evolution taking place

Yes, it is possible to observe evolution taking place in real-time under certain conditions. Here are some examples from the provided research papers:

"Real-time" evolution in Mira variables:
- This paper discusses the observable evolutionary changes in Mira variables, a type of pulsating star. The study highlights three key aspects of real-time evolution in these stars:
  - Chemical Changes: The transition from oxygen-rich to carbon-rich compositions due to a process known as the third dredge-up.
  - Period Changes: Variations in the pulsation periods of these stars caused by helium-shell flashes.
  - Fossil Dust and Gas Shells: The presence of resolved gas and dust shells around these stars, which provide insights into their mass-loss histories over the past ten thousand years. These observations have only recently become feasible with advancements in technology, offering new perspectives on the late stages of stellar evolution.
Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution:
- This paper focuses on the real-time observation of evolutionary processes in microorganisms under laboratory-controlled conditions. Key points include:
  - Adaptation and Evolution: Microorganisms exhibit rapid evolutionary changes, making it possible to monitor their adaptation in real-time.
  - Experimental Evolution: The paper provides a comprehensive guide to experimental evolution, discussing the design, population dynamics, and diversity observed during these experiments.
  - Ecoevolutionary Theories: The study of microbial evolution helps in assessing ecoevolutionary theories, improving industrial traits, and understanding complex phenotypes.
  - Technological Progress: The paper emphasizes the role of fast-paced technological advancements in facilitating these observations and experiments.

In summary, both the evolution of Mira variables and the experimental evolution of microorganisms demonstrate that it is indeed possible to observe evolutionary processes in real-time. These studies provide valuable insights into the mechanisms and outcomes of evolution, whether in stars or microorganisms.

References

"Real-time" evolution in Mira variables.
Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

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Can you observe evolution taking place

Summary

References

Sources and full results

"Real-time" evolution in Mira variables.

Mira variables show real-time evolution, with chemical changes, period changes, and the existence of "fossil" dust and gas shells providing insights into late stages of stellar evolution.

Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution

Experimental evolution with microorganisms reveals strong adaptations in real time, allowing for assessment of ecoevolutionary theories, improvement of industrial traits, and untangling complex phenotypes.

A new frontier for real-time systems - Lessons from molecular biology

DNA is a real-time system, and knowledge from biological systems can lead to further evolution and improvement of human-made complex real-time systems.

Real-time evolution using the density matrix renormalization group.

The real-time evolution extension to the density matrix renormalization group method can effectively simulate transport problems in systems out of equilibrium and frequency dependent correlation functions.

Time evolution in quantum cosmology

A modified strategy using a 'test clock' in quantum cosmology can improve time evolution observability while maintaining sharp Dirac observables.

Using Genetic Algorithms to Simulate Evolution

Genetic algorithms can simulate natural selection and evolution, helping us understand species interactions and potential solutions for improving technology and extinction prevention.

Evolution in real time

The arrow of time is absolute and unidirectional, supported by biological, geological, and physical observations, challenging the relativity of time posited by Special Relativity and statistical mechanics.

Zooming in on quantum trajectories

Using the effect of measurements instead of their number allows for a more detailed study of quantum systems under monitoring, providing well-defined evolution equations and insights into information extraction and dissipation competitions.

Experimental evolution in fungi: An untapped resource.

Fungi offer a unique resource for experimental evolution due to their short generation time, compact genomes, and sexual cycles, offering valuable insights into evolutionary biology.

Variational ansatz-based quantum simulation of imaginary time evolution

Our variational algorithm efficiently simulates imaginary time evolution on a hybrid quantum computer, enabling high-probability ground-state energy determination in many-particle systems and quantum machine learning.

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