The ongoing need for rates: can physiology and omics come together to co-design the measurements needed to understand complex ocean biogeochemistry?

The ongoing need for rates: can physiology and omics come together to co-design the measurements needed to understand complex ocean biogeochemistry?
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对比率的持续需求:生理学和组学能否走到一起,共同设计理解复杂的海洋生物地球化学所需的测量方法?

DOI:
10.1093/plankt/fbac026
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发表时间:
2022-07
影响因子:
2.1
通讯作者:
--
中科院分区:
环境科学与生态学3区
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--
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必须了解全球海洋变化对生物群的影响,这暴露出我们对支撑海洋生物的基本原则的知识存在巨大差距。与此同时,生理研究停滞不前,部分原因是分子生物学技术的出现和迅速发展,这些技术现在影响了生物海洋学的所有研究领域。这种主导地位导致了一种隐含的假设,即生理学已经过时,并主张生态和生物地球化学模型可以直接由组学提供信息。然而,主要的建模货币是生物速率和生物地球化学通量。在这里,我们的问题是:我们如何将基于组学的研究中关于生理潜能的丰富信息转化为可量化的生理速率,并最终转化为生物地球化学通量?根据生物医学科学的最新发展轨迹,以及海洋科学的案例研究,我们得出结论,组学在未来十年不太可能提供这样的速度。因此,虽然生理速率将继续是提供全球变化生物学预测的核心,但我们必须重新审视我们所依赖的指标。我们提倡共同设计新一代的速率测量,以更好地将组学和生理学的好处联系起来。
The necessity to understand the influence of global ocean change on biota has exposed wide-ranging gaps in our knowledge of the fundamental principles that underpin marine life. Concurrently, physiological research has stagnated, in part driven by the advent and rapid evolution of molecular biological techniques, such that they now influence all lines of enquiry in biological oceanography. This dominance has led to an implicit assumption that physiology is outmoded, and advocacy that ecological and biogeochemical models can be directly informed by omics. However, the main modeling currencies are biological rates and biogeochemical fluxes. Here, we ask: how do we translate the wealth of information on physiological potential from omics-based studies to quantifiable physiological rates and, ultimately, to biogeochemical fluxes? Based on the trajectory of the state-of-the-art in biomedical sciences, along with case-studies from ocean sciences, we conclude that it is unlikely that omics can provide such rates in the coming decade. Thus, while physiological rates will continue to be central to providing projections of global change biology, we must revisit the metrics we rely upon. We advocate for the co-design of a new generation of rate measurements that better link the benefits of omics and physiology.
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