Jove
Visualize
联系我们

相关概念视频

Genetic Drift03:33

Genetic Drift

39.6K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
39.6K
Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

34.2K
Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
34.2K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

7.9K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
7.9K
Gene Flow02:39

Gene Flow

34.9K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
34.9K
Exon Recombination02:32

Exon Recombination

3.6K
The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
Exon shuffling follows “splice frame rules.” Each exon...
3.6K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.2K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Tissueformer: extending single-cell foundation models to predict population-level phenotypes.

BMC bioinformatics·2026
Same author

Grounding olfactory perception in language: Benchmarks and models for generating natural language odor descriptions.

bioRxiv : the preprint server for biology·2026
Same author

How the olfactory bulb maintains stable odor manifolds amid adaptation and representational drift.

bioRxiv : the preprint server for biology·2026
Same author

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context.

ArXiv·2025
Same author

Order code in the olfactory system.

bioRxiv : the preprint server for biology·2025
Same author

Brain-wide representations of prior information in mouse decision-making.

Nature·2025
Same journal

Tau protein as a regulator of mitochondrial function and dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

A scalable, dividing cell model for the robust propagation and quantification of human sporadic Creutzfeldt-Jakob disease prions.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Epigenetic regulation of mesenchymal BMP signaling directs postnatal organ innervation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Single-shot wide-field biochemical imaging at 1 kHz frame rate.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Morphogenesis and topological evolution of a frustrated nematic liquid crystal under confinement.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

B cell-intrinsic CXCR3 drives efficient generation of ectopic pulmonary germinal center responses to influenza A virus infection.

Proceedings of the National Academy of Sciences of the United States of America·2026
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jun 13, 2025

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior
06:59

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior

Published on: May 21, 2020

4.0K

通过基因组瓶编码天生的能力.

Sergey Shuvaev1, Divyansha Lachi1, Alexei Koulakov1

  • 1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724.

Proceedings of the National Academy of Sciences of the United States of America
|September 12, 2024
PubMed
概括
此摘要是机器生成的。

基因组压缩神经电路信息,类似于人工神经网络中的损耗压缩. 这种"基因瓶"允许先天性行为,并通过规范化和转移学习增强AI学习.

关键词:
在这里,我们可以看到AIAIAI.机器学习是机器学习.神经计算的神经计算神经网络的神经网络的神经网络

更多相关视频

An Efficient Strategy for Generating Tissue-specific Binary Transcription Systems in Drosophila by Genome Editing
10:01

An Efficient Strategy for Generating Tissue-specific Binary Transcription Systems in Drosophila by Genome Editing

Published on: September 19, 2018

9.0K
Inducible and Reversible Dominant-negative DN Protein Inhibition
08:35

Inducible and Reversible Dominant-negative DN Protein Inhibition

Published on: January 7, 2019

8.4K

相关实验视频

Last Updated: Jun 13, 2025

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior
06:59

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior

Published on: May 21, 2020

4.0K
An Efficient Strategy for Generating Tissue-specific Binary Transcription Systems in Drosophila by Genome Editing
10:01

An Efficient Strategy for Generating Tissue-specific Binary Transcription Systems in Drosophila by Genome Editing

Published on: September 19, 2018

9.0K
Inducible and Reversible Dominant-negative DN Protein Inhibition
08:35

Inducible and Reversible Dominant-negative DN Protein Inhibition

Published on: January 7, 2019

8.4K

科学领域:

  • 神经科学是一个神经科学.
  • 人工智能的人工智能
  • 进化生物学 进化生物学

背景情况:

  • 动物具有源自遗传编码的神经回路的先天性行为.
  • 基因组的信息容量不足以确定复杂的神经连接,这意味着遗传电路规则存在"基因瓶".

研究的目的:

  • 用人工神经网络和损耗压缩来建模天生的行为能力.
  • 研究基因组瓶在神经电路形成和适应中的作用.

主要方法:

  • 制定先天的行为能力作为人工神经网络重量矩阵的损耗压缩.
  • 分析标准网络架构的压缩及其预训练性能.

主要成果:

  • 几种网络架构实现了显著的压缩 (数量级) 与预训练性能接近完全训练的网络.
  • 基因组瓶算法证明了对复杂任务的增强转移学习,捕获关键电路特征.

结论:

  • 通过基因组瓶压缩神经电路作为调节器,促进适应性电路的进化.
  • 基因组瓶提供了对人工智能的先天性先验的见解,补充了传统的学习方法.