エピスタティック・ドリフトは,タンパク質の進化の予測性を徐々に低下させる
Yeonwoo Park1, Brian P H Metzger2, Joseph W Thornton1,2,3
1Committee on Genetics, Genomics, and Systems Biology, University of Chicago, Chicago, IL, USA.
まとめ
進化のエピスタシスは タンパク質の配列の変化を 予測不可能にします ほとんどの変異効果は,目に見えるランダム性にもかかわらず,多くの弱い相互作用のために,徐々に予測可能に変化します.
科学分野:
- 進化生物学
- 分子生物学
- バイオ物理学
背景:
- エピスタティック相互作用は進化の予測を複雑にする.
- タンパク質の進化の過程で突然変異の効果がどのように変化するかに関するデータは限られている.
研究 の 目的:
- 進化するタンパク質の配列における変異効果の変化の範囲と時間的動態を調査する.
- 進化の軌道を形作る エピスタシスの役割を理解する
主な方法:
- フィロゲネティック・ディープ・ミューテーション・スキャニングが採用された.
- すべての可能なアミノ酸変異の機能的効果は,祖先と既存のステロイド受容体DNA結合領域で測定された.
主要な成果:
- 7億年以上,エピスタシスは突然変異の影響を解消し,その進化的アクセシビリティを変えた.
- ほとんどの変異効果は,多くの弱い表皮の相互作用によって,徐々に中性的に変化した.
- 予測不可能な状況にもかかわらず 進化過程は 十分なデータで 統計的に予測可能であることが示されました
結論:
- タンパク質配列の進化は,エピスタシスによる偶然性や予測不能性によって特徴づけられる.
- 進化の過程は複雑ですが 統計的に予測できます
- これらのダイナミクスを理解するには,遺伝学と実験データを統合する必要があります.
関連する概念動画
Genetic Drift
40.9K
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.
40.9K
Gene Evolution - Fast or Slow?
7.5K
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...
In contrast, regions which code...
7.5K
Mutation, Gene Flow, and Genetic Drift
59.6K
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).
59.6K
Conservation of Protein Domains Over Different Proteins
11.5K
Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
11.5K
Hardy-Weinberg Principle
73.5K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
73.5K
Improving Translational Accuracy
11.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.9K


