Characterizing the multivariate physiogenomic response to environmental change
Characterizing the multivariate physiogenomic response to environmental change
复制标题
表征对环境变化的多变量生理基因组反应
DOI：
10.1111/mec.15129
复制
发表时间：
2019
影响因子：
4.9
通讯作者：
Lotterhos, Katie E.
中科院分区：
文献类型：
--
作者：
Lotterhos, Katie E.
全球变化正在改变物种在历史上已经适应的气候--在某些情况下，其速度是它们进化史上最近没有经历过的--对所有分类群产生级联效应。全球变化生物学的一个中心目标是了解特定人群如何通过适应或适应性遗传变异来“引发”全球变化。因此，将生理测量与种群经历的压力程度联系起来是一个重要的目标（Annual Review of Marine Science，2012，4，39）。尽管基因表达等“组学”方法经常被用作所经历的压力量的代表，但我们仍然对基因表达如何影响非模式生物的生态和生理相关性状缺乏了解。在本期分子生态学的封面论文中，Griffiths，Pan和Kelley（分子生态学，2019，28）将基因表达与温带海洋珊瑚的生理特征联系起来。他们发现了两个种群对海洋酸化的特定反应，这两个种群来自具有不同酸化历史的地区。通过整合生理和基因表达数据，他们能够阐明解释这些群体特异性反应的机制。他们的研究结果让我们深入了解了生理基因组学反馈，这些反馈可能会引发生物体或使它们不适合海洋全球变化。
Global change is altering the climate that species have historically adapted to – in some cases at a pace not recently experienced in their evolutionary history – with cascading effects on all taxa. A central aim in global change biology is to understand how specific populations may be “primed” for global change, either through acclimation or adaptive standing genetic variation. It is therefore an important goal to link physiological measurements to the degree of stress a population experiences (Annual Review of Marine Science, 2012, 4, 39). Although “omic” approaches such as gene expression are often used as a proxy for the amount of stress experienced, we still have a poor understanding of how gene expression affects ecologically and physiologically relevant traits in non‐model organisms. In a From the Cover paper in this issue ofMolecular Ecology, Griffiths, Pan and Kelley (Molecular Ecology, 2019, 28) link gene expression to physiological traits in a temperate marine coral. They discover population‐specific responses to ocean acidification for two populations that originated from locations with different histories of exposure to acidification. By integrating physiological and gene expression data, they were able to elucidate the mechanisms that explain these population‐specific responses. Their results give insight into the physiogenomic feedbacks that may prime organisms or make them unfit for ocean global change.
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DOI：
10.1111/j.0014-3820.2002.tb01356.x
发表时间：
2002
影响因子：
1.6
作者：
D. Houle;J. Mezey;P. Galpern
通讯作者：
P. Galpern
DOI：
10.1073/pnas.1813749115
发表时间：
2018-12-26
影响因子：
11.1
作者：
Dixon, Groves;Liao, Yi;Matz, Mikhail V.
通讯作者：
Matz, Mikhail V.
影响因子：
9.8
作者：
Lotterhos, Kathleen E.;Moore, Jason H.;Stapleton, Ann E.
通讯作者：
Stapleton, Ann E.
影响因子：
4.6
作者：
Chan F;Barth JA;Blanchette CA;Byrne RH;Chavez F;Cheriton O;Feely RA;Friederich G;Gaylord B;Gouhier T;Hacker S;Hill T;Hofmann G;McManus MA;Menge BA;Nielsen KJ;Russell A;Sanford E;Sevadjian J;Washburn L
通讯作者：
Washburn L