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

Gene Evolution - Fast or Slow?02:05

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...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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.
Evolutionary Relationships through Genome Comparisons02:54

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...
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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 characterized.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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.
Gene Evolution - Fast or Slow?02:05

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...

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

de novo genes originate in regions of ancestrally closed chromatin.

Genetics·2026
Same author

Protocol for genotyping cephalopod sex using a skin swab and quantitative PCR.

STAR protocols·2026
Same author

Parallel transcriptome adaptation during recent evolution of the Drosophila testis.

Genetics·2026
Same author

AAVrh.10hFXN Gene Therapy for the Cardiomyopathy of Friedreich Ataxia: A Nonrandomized Clinical Trial.

JAMA cardiology·2026
Same author

MKado: a toolkit for McDonald-Kreitman tests of natural selection.

G3 (Bethesda, Md.)·2026
Same author

Ecotypes, <i>Wolbachia</i>, and urbanization shape <i>Culex pipiens</i> population structure in a West Nile virus hotspot.

bioRxiv : the preprint server for biology·2026

関連する実験動画

Updated: Jun 26, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

進化的ゲノミクス:コドンバイアスと単一ゲノムの選択

Matthew W Hahn1, Jason G Mezey, David J Begun

  • 1Center for Population Biology and Section of Evolution and Ecology, University of California, Davis, California 95616, USA. mwhahn@ucdavis.edu

Nature
|January 22, 2005
PubMed
まとめ

研究者は,単一のゲノム内の自然選択を検出するための新しい方法に挑戦しています. 彼らの分析によると,この方法は欠陥のある仮定に依存しており,適応的進化に関する結論は信頼できない.

科学分野:

  • 進化生物学の進化生物学について
  • ゲノミクスゲノミクスとは
  • 集団遺伝学 人口遺伝学

背景:

  • プラトキンとその同僚が提案した新しい方法は,単一のゲノム内の自然選択を検出することを示唆しています.
  • このアプローチは,比較用ゲノムデータの必要性を減らすことによって,分析力を強化することを目的としています.

研究 の 目的:

  • 単一ゲノム自然選択検出法の仮定と結論を批判的に評価する.
  • この方法に基づいて,適応性自然選択に関する推論の妥当性を決定する.

主な方法:

  • 提案された単一ゲノム選択検出方法の理論的分析.
  • 基礎となる仮定の検討と,結果を混乱させる可能性.

主要な成果:

  • 研究は,この方法の結論は,未明な仮定によって混乱していると主張している.
  • 仮説が妥当であったとしても,適応選択に関する推論は正当化されないことが示されています.

結論:

  • 自然選択を検出するための提案された単一ゲノム法には重大な欠陥がある.
  • 疑わしい仮説に頼っていることは,比較データなしで適応的進化を検出するという主張を弱体化させる.

さらに関連する動画

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

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

関連する実験動画

Last Updated: Jun 26, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

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