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相关概念视频

Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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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...
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Synteny and Evolution02:31

Synteny and Evolution

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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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Convergent Evolution01:54

Convergent Evolution

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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.
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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...
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Epistasis01:39

Epistasis

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In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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相关实验视频

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Quantification of Circulating Pig-Specific DNA in the Blood of a Xenotransplantation Model
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学习人类和猪之间的功能性保护,解读基因表达和复杂特征背后的进化机制.

Jinghui Li1, Tianjing Zhao1, Dailu Guan1

  • 1Department of Animal Science, University of California, Davis, Davis, CA 95616, USA.

Cell genomics
|October 23, 2023
PubMed
概括

本研究介绍了DeepGCF,这是一种深度学习方法,用于评估人类和猪之间的功能基因组保护. 它确定了对基因调节和人类复杂特征至关重要的关键保护区域.

关键词:
复杂的特征 复杂的特征深度学习是一种深度学习.功能性保护的功能性保护.基因表达的基因表达方式人类 人类 人类 人类 人类 人类 人类猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪

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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 比较生物学的比较生物学

背景情况:

  • 猪是有价值的生物医学模型,但对人类的功能性基因组保护需要更深入的理解.
  • 评估功能性基因组保护是提高猪在人类疾病研究中的实用性的关键.

研究的目的:

  • 开发一种新的深度学习方法,DeepGCF,用于评估人类和猪之间的功能基因组保护.
  • 确定功能性保存的基因组区域及其在基因调节和人类复杂特征中的作用.

主要方法:

  • 开发了一种基于深度学习的方法 (DeepGCF),集成人类和猪的功能基因组资料.
  • 利用染色体状态,序列本体学和调节变异来得分功能性保护.
  • 与以前的方法比较DeepGCF的性能.

主要成果:

  • 在评估功能性基因组保护方面,DeepGCF取得了卓越的预测性能.
  • 确定了人类和猪之间功能性保存的基因组区域的核心集.
  • 这些区域丰富了基因调节,复杂特征的遗传性和人类疾病.

结论:

  • 跨物种功能性基因组比较对于理解复杂的表型至关重要.
  • DeepGCF提供了一种强大的工具,用于识别保存的功能元素,推动生物医学研究.
  • 已确定的保护区为人类特征和疾病的遗传和进化基础提供了洞察力.