Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

The Evidence for Evolution02:55

The Evidence for Evolution

43.8K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
43.8K
What is Evolutionary History?02:35

What is Evolutionary History?

39.7K
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.
39.7K
Characteristics of Life01:23

Characteristics of Life

237.1K
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...
237.1K
Life Histories01:29

Life Histories

18.9K
Overview
18.9K
Evolutionary Psychology01:20

Evolutionary Psychology

408
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
408
Eukaryotic Evolution01:24

Eukaryotic Evolution

36.4K
The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
36.4K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Integrating evolutionary theory into a framework for the mechanistic evaluation of candidate anti-aging interventions.

Frontiers in aging·2026
Same author

Influence of the resource acquisition-allocation Y-model's parameters on the detection of phenotypic trade-offs.

Journal of evolutionary biology·2026
Same author

Evolution, time, and the observer.

The Behavioral and brain sciences·2026
Same author

Transient dynamics and nonlinear fitness: A matrix approach to pulse and press perturbation.

Ecology·2026
Same author

Affordances and life history complexity.

The Behavioral and brain sciences·2026
Same author

Plant population responses to environmental variability are primarily driven by survival-reproduction trade-offs and mediated by aridity.

Nature communications·2026
Same journal

Mind Everywhere: A Framework for Conceptualizing Goal-Directedness in Biology and Other Domains-Part Two.

Biological theory·2026
Same journal

Mind Everywhere: A Framework for Conceptualizing Goal-Directedness in Biology and Other Domains-Part One.

Biological theory·2026
Same journal

The Limits of Our Explanation: A Case Study in <i>Myxococcus xanthus</i> Cooperation.

Biological theory·2025
Same journal

Agency as an Inherent Property of Living Organisms.

Biological theory·2024
Same journal

Context Matters: A Response to Autzen and Okasha's Reply to Takacs and Bourrat.

Biological theory·2024
Same journal

Agency, Goal-Directed Behavior, and Part-Whole Relationships in Biological Systems.

Biological theory·2024
関連記事をすべて見る

関連する実験動画

Updated: Sep 9, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.0K

進化,複雑さ,生命 歴史 論

Walter Veit1,2,3, Samuel J L Gascoigne3,4, Roberto Salguero-Gómez3,5,6

  • 1Department of Philosophy, University of Reading, Reading, UK.

Biological theory
|August 29, 2025
PubMed
まとめ
この要約は機械生成です。

進化は 生物の複雑さを増すのを好むかもしれないが 定量的な測定が必要である. 生存と繁殖の戦略を用いてこの複雑さを測定する枠組みを提供している.

キーワード:
生物学的複雑さエントロピー進化の傾向フィットネス目標の方向性生命の歴史の複雑さ生命史理論最適性についてテレオノミー

さらに関連する動画

Resurrection of Dormant Daphnia magna: Protocol and Applications
07:37

Resurrection of Dormant Daphnia magna: Protocol and Applications

Published on: January 19, 2018

18.9K
Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

3.5K

関連する実験動画

Last Updated: Sep 9, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.0K
Resurrection of Dormant Daphnia magna: Protocol and Applications
07:37

Resurrection of Dormant Daphnia magna: Protocol and Applications

Published on: January 19, 2018

18.9K
Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

3.5K

科学分野:

  • 進化生物学
  • 理論生物学
  • 生命史理論

背景:

  • 進化の傾向が生物の複雑さを増すのかという議論は進行中です.
  • 現在の議論は,生命の目標指向性に関連した複雑性の量的な尺度がないことによって妨げられています.
  • 生命の歴史理論は,そのような尺度を開発するための潜在的な道を提供します.

研究 の 目的:

  • 生命の歴史理論に根ざした 生物学的複雑性の量的な測定法を提案する
  • 進化における複雑性の増大の仮説を検証するための枠組みを概説する.
  • 進化の複雑さを測定し比較する将来の研究のためのアジェンダを確立する.

主な方法:

  • 進化の複雑性に関する議論を 跨学術的アプローチで再考する
  • 生物学的複雑性を定量化するためのプロキシとして生命史戦略を特定する.
  • 複合性を測定するための数学的方法と種間の比較分析を提案する.

主要な成果:

  • 生存と繁殖のスケジュールを網羅する生命史戦略は,生物学的複雑性の定量的な尺度として機能することができます.
  • この測定は,生物システムのテレオノミクス (目標指向) 性質と直接関連しています.
  • 提案された枠組みは,複雑性の変化を誘発する進化的力の調査を可能にします.

結論:

  • 生命の歴史理論は 生物学的複雑性を定量化するための 堅固な枠組みを提供します
  • 生命の歴史戦略による複雑性の測定は 進化パターンの研究を進めることができます
  • 将来の研究は,テレオノミクスの複雑性の数学的定量化と種間比較分析に焦点を当てるべきである.