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Related Concept Videos

Synthetic Biology02:55

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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What is Evolutionary History?

Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.Phylogenetic trees illustrate the evolutionary relationships among these organisms. Scientists infer organisms’ common ancestry by evaluating shared morphological and genetic characteristics. Together, the fossil...
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Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...
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Related Experiment Video

Updated: Jun 9, 2026

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning
09:23

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning

Published on: March 21, 2025

Systems biology: Learning from history.

Natalie de Souza

    Nature Methods
    |September 10, 2010
    PubMed
    Summary

    Lineage data can reveal the strength of selection in growing cell populations and identify stochastic switching mechanisms. This helps understand cell population dynamics and evolution.

    Area of Science:

    • Cellular biology
    • Evolutionary biology
    • Population dynamics

    Background:

    • Understanding the forces that shape cell populations is crucial in biology.
    • Inferring selection strength and stochasticity from observed data is a key challenge.

    Discussion:

    • Lineage data provides a powerful tool for dissecting cellular processes.
    • The interplay between selection and random events influences population evolution.

    Key Insights:

    • The strength of selection acting on growing cell populations can be inferred from lineage data.
    • Stochastic switching mechanisms within cell populations can also be identified using lineage tracing.

    Outlook:

    • This approach can be extended to study more complex cellular systems.

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  • Further research can refine methods for inferring population dynamics from lineage information.