Epigenetic epistatic interactions constrain the evolution of gene expression.
Epigenetic epistatic interactions constrain the evolution of gene expression.
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DOI：
10.1038/msb.2013.2
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发表时间：
2013
影响因子：
9.9
通讯作者：
中科院分区：
文献类型：
--
作者：
两个基因的联合活性降低往往比预期的更有害。这种上位性相互作用不仅发生在基因突变时，而且也是由于基因表达的变化，包括在受控环境中的同基因个体之间。我们假设，这些“表观遗传”上位相互作用可能会对基因表达的进化产生重要的限制。与此相一致，我们在这里表明，酵母基因与许多上位相互作用的合作伙伴通常表现出低表达的变化，在同基因个体和不同条件下的低变化。此外，它们的表达倾向于响应于突变的积累而保持稳定，并且仅在菌株和物种之间缓慢发散。酵母启动子结构、基因重复的保留以及人类和黑猩猩之间表达的差异也与选择压力一致，以减少有害的表观遗传上位相互作用的可能性。基于这些和以前的分析，我们提出上位性相互作用网络枢纽的严格监管作出了重要贡献，维护一个强大的，“渠道化”的表型。此外，表观遗传上位性相互作用可能会大大有助于健身缺陷时，单个基因被删除。
Reduced activity of two genes in combination often has a more detrimental effect than expected. Such epistatic interactions not only occur when genes are mutated but also due to variation in gene expression, including among isogenic individuals in a controlled environment. We hypothesized that these ‘epigenetic’ epistatic interactions could place important constraints on the evolution of gene expression. Consistent with this, we show here that yeast genes with many epistatic interaction partners typically show low expression variation among isogenic individuals and low variation across different conditions. In addition, their expression tends to remain stable in response to the accumulation of mutations and only diverges slowly between strains and species. Yeast promoter architectures, the retention of gene duplicates, and the divergence of expression between humans and chimps are also consistent with selective pressure to reduce the likelihood of harmful epigenetic epistatic interactions. Based on these and previous analyses, we propose that the tight regulation of epistatic interaction network hubs makes an important contribution to the maintenance of a robust, ‘canalized’ phenotype. Moreover, that epigenetic epistatic interactions may contribute substantially to fitness defects when single genes are deleted.
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影响因子：
64.5
作者：
Frost A;Elgort MG;Brandman O;Ives C;Collins SR;Miller-Vedam L;Weibezahn J;Hein MY;Poser I;Mann M;Hyman AA;Weissman JS
通讯作者：
Weissman JS
影响因子：
56.9
作者：
Landry, Christian R.;Lemos, Bernardo;Hartl, Daniel L.
通讯作者：
Hartl, Daniel L.
影响因子：
64.5
作者：
Basehoar, AD;Zanton, SJ;Pugh, BF
通讯作者：
Pugh, BF
影响因子：
9.8
作者：
Levy, Sasha F.;Siegal, Mark L.
通讯作者：
Siegal, Mark L.
在基因组量表上对酵母中适应性和遗传相互作用的定量分析。
影响因子：
48
作者：
Baryshnikova, Anastasia;Costanzo, Michael;Kim, Yungil;Ding, Huiming;Koh, Judice;Toufighi, Kiana;Youn, Ji-Young;Ou, Jiongwen;San Luis, Bryan-Joseph;Bandyopadhyay, Sunayan;Hibbs, Matthew;Hess, David;Gingras, Anne-Claude;Bader, Gary D.;Troyanskaya, Olga G.;Brown, Grant W.;Andrews, Brenda;Boone, Charles;Myers, Chad L.
通讯作者：
Myers, Chad L.