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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.0K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
17.0K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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Synteny and Evolution02:31

Synteny and Evolution

3.2K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
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Conserved Binding Sites01:49

Conserved Binding Sites

4.1K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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相关实验视频

Updated: May 27, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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一个新的比较框架来估计同义替代品的选择.

Hannah Verdonk1, Alyssa Pivirotto2, Vitor Pavinato2

  • 1Institute for Genomics and Evolutionary Medicine, Department of Biology, Temple University, Philadelphia, Pennsylvania, USA.

bioRxiv : the preprint server for biology
|February 20, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了多类同义替代 (MSS) 模型,以解释对子使用的选择,揭示了Drosophila物种的显著速率变化. 这些模型提高了我们对塑造同义替代的进化力量的理解.

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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相关实验视频

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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科学领域:

  • 进化生物学 进化生物学
  • 基因组学就是基因组学.
  • 人口遗传学 人口遗传学

背景情况:

  • 在同义代码的使用上进行选择是已知的进化现象.
  • 现有的模型往往无法解释这种选择及其对替代率的影响.
  • 这种差距阻碍了对分子进化的全面理解.

研究的目的:

  • 开发和增强多类同义替代 (MSS) 模型.
  • 准确估计相对同义替代率,同时考虑突变偏差.
  • 调查不同种类的同义代号使用对象的选择.

主要方法:

  • 将同义替换划分为多个类.
  • 在MSS模型中估计每个类别的相对替代率.
  • 利用一个大规模的实证数据集,包括来自12个多虫物种的约12,000个基因对齐.
  • 通过前期人口遗传模拟验证模型性能.

主要成果:

  • 在Drosophila.内相对同义替代率中发现了广泛的异质性.
  • 通过模拟证明了MSS模型的稳定性,以通过模拟来模拟错误规范.
  • 发现了MSS率和密码体使用共变量 (多态数据,tRNA丰度) 之间的显著相关性.

结论:

  • MSS模型有效地检测到对同名编码子使用的选择,即使是弱信号.
  • 这些模型提供了一种强大的工具,用于研究跨不同种类的同义替代选择.
  • 这种方法独立于关于选择驱动力的先前假设.