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遗传网络复杂性塑造背景依赖的表型表达。

Genetic Network Complexity Shapes Background-Dependent Phenotypic Expression.

机构信息

Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada.

Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada.

出版信息

Trends Genet. 2018 Aug;34(8):578-586. doi: 10.1016/j.tig.2018.05.006. Epub 2018 Jun 11.

DOI:10.1016/j.tig.2018.05.006
PMID:29903533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6085889/
Abstract

The phenotypic consequences of a given mutation can vary across individuals. This so-called background effect is widely observed, from mutant fitness of loss-of-function variants in model organisms to variable disease penetrance and expressivity in humans; however, the underlying genetic basis often remains unclear. Taking insights gained from recent large-scale surveys of genetic interaction and suppression analyses in yeast, we propose that the genetic network context for a given mutation may shape its propensity of exhibiting background-dependent phenotypes. We argue that further efforts in systematically mapping the genetic interaction networks beyond yeast will provide not only key insights into the functional properties of genes, but also a better understanding of the background effects and the (un)predictability of traits in a broader context.

摘要

给定突变的表型后果在个体之间可能有所不同。这种所谓的背景效应广泛存在,从模式生物中丧失功能变异体的突变体适应性到人类中可变的疾病外显率和表现度;然而,潜在的遗传基础通常仍不清楚。利用最近在酵母中进行的大规模遗传相互作用和抑制分析调查中获得的见解,我们提出给定突变的遗传网络背景可能会影响其表现出依赖背景表型的倾向。我们认为,进一步努力系统地绘制除酵母以外的遗传相互作用网络图谱,不仅将为基因的功能特性提供关键见解,还将更好地理解更广泛背景下的背景效应和性状的(不可预测性)。

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本文引用的文献

1
How well do you know your mutation? Complex effects of genetic background on expressivity, complementation, and ordering of allelic effects.你对自己的突变了解多少?遗传背景对表现度、互补作用及等位基因效应排序的复杂影响。
PLoS Genet. 2017 Nov 22;13(11):e1007075. doi: 10.1371/journal.pgen.1007075. eCollection 2017 Nov.
2
Genetic backgrounds and hidden trait complexity in natural populations.自然种群中的遗传背景和隐性特征复杂性。
Curr Opin Genet Dev. 2017 Dec;47:48-53. doi: 10.1016/j.gde.2017.08.009. Epub 2017 Sep 12.
3
An Expanded View of Complex Traits: From Polygenic to Omnigenic.复杂性状的扩展观点:从多基因到泛基因
Cell. 2017 Jun 15;169(7):1177-1186. doi: 10.1016/j.cell.2017.05.038.
4
The background puzzle: how identical mutations in the same gene lead to different disease symptoms.背景难题:相同基因中的相同突变如何导致不同的疾病症状。
FEBS J. 2017 Oct;284(20):3362-3373. doi: 10.1111/febs.14080. Epub 2017 May 10.
5
Fitness Trade-Offs Lead to Suppressor Tolerance in Yeast.适应性权衡导致酵母中的抑制因子耐受性。
Mol Biol Evol. 2017 Jan;34(1):110-118. doi: 10.1093/molbev/msw225. Epub 2016 Oct 20.
6
A genome wide dosage suppressor network reveals genomic robustness.全基因组剂量抑制网络揭示了基因组稳健性。
Nucleic Acids Res. 2017 Jan 9;45(1):255-270. doi: 10.1093/nar/gkw1148. Epub 2016 Nov 29.
7
Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse.小鼠基因组数据库(MGD)-2017:实验室小鼠的社区知识资源。
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8
Exploring genetic suppression interactions on a global scale.在全球范围内探索基因抑制相互作用。
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OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines.OGEE v2:在线基因必需性数据库的更新,特别关注人类癌细胞系中的差异必需基因。
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10
A global genetic interaction network maps a wiring diagram of cellular function.一个全球遗传相互作用网络描绘了细胞功能的接线图。
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