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Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

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...

Synteny and Evolution

Synteny and Evolution

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...

Multi-species Conserved Sequences

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...

Gene Evolution - Fast or Slow?

Gene Evolution - Fast or Slow?

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...

Convergent Evolution

Convergent Evolution

Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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相关实验视频

Updated: Jun 11, 2025

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

基于序列的机器学习揭示了博和黑猩猩之间的3D基因组差异.

Colin M Brand^1,2, Shuzhen Kuang³, Erin N Gilbertson^1,4

¹Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, USA.

Genome biology and evolution

|October 9, 2024

概括

此摘要是机器生成的。

在人类基因组数据上训练的机器学习模型预测了黑猩猩和黑猩猩的3D基因组折叠. 这揭示了特定物种的模式和遗传变异,可能导致灵长类动物的表型差异.

关键词:

3D基因组折叠的过程波诺波的波诺波是什么意思黑猩猩是一个黑猩猩.基因调节基因调节基因调节机器学习是机器学习.

更多相关视频

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

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Published on: December 10, 2012

Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

Published on: January 7, 2019

相关实验视频

Last Updated: Jun 11, 2025

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

Published on: January 7, 2019

科学领域:

基因组学就是基因组学.
进化生物学进化生物学
计算生物学计算生物学

背景情况:

三维 (3D) 基因组结构对于调节基因表达和影响表型特征至关重要.
了解物种差异需要比较3D基因组组织,但对于非人类灵长类动物来说,数据很少.
人类实验数据提供了一个潜在的资源来弥合这个差距.

研究的目的:

开发和应用机器学习方法来预测具有有限实验数据的物种中的3D基因组接触.
为了研究黑猩猩和黑猩猩之间基因组折叠和3D分歧的特定物种模式.
识别与基因组结构观察到的差异相关的遗传变异及其在表型分歧中的潜在作用.

主要方法:

利用一个训练有素的机器学习模型,从DNA序列中预测3D基因组接触.
将该模型应用于56只红猩猩和黑猩猩的基因组,利用人类实验数据.
分析预测的3D接触地图,以估计跨个体和物种的基因组折叠差异.

主要成果:

在红和黑猩猩中确定了基因组折叠的特定物种模式.
估计在分析的基因组窗口中,大约有17%的3D差异.
发现了红黑猩猩和黑猩猩之间89个不同的窗口,与表型特征相关的重叠基因,并确定了51种红黑猩猩特有的变体,可能解释这些折叠模式.

结论:

机器学习可以有效地使用人类数据来推断其他物种的3D基因组组织,填补关键数据缺口.
这项研究为非人类灵长类动物的3D基因组变异提供了第一个人口层面的观点.
确定了具有改变3D折叠的基因组位置,这可能是密切相关物种的表型差异的基础.