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表型组学作为一种比较发育生理学的方法。

Phenomics as an approach to Comparative Developmental Physiology.

作者信息

McCoy Jamie C S, Spicer John I, Ibbini Ziad, Tills Oliver

机构信息

School of Biological and Marine Sciences, University of Plymouth, Plymouth, United Kingdom.

出版信息

Front Physiol. 2023 Aug 14;14:1229500. doi: 10.3389/fphys.2023.1229500. eCollection 2023.

DOI:10.3389/fphys.2023.1229500
PMID:37645563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10461620/
Abstract

The dynamic nature of developing organisms and how they function presents both opportunity and challenge to researchers, with significant advances in understanding possible by adopting innovative approaches to their empirical study. The information content of the phenotype during organismal development is arguably greater than at any other life stage, incorporating change at a broad range of temporal, spatial and functional scales and is of broad relevance to a plethora of research questions. Yet, effectively measuring organismal development, and the ontogeny of physiological regulations and functions, and their responses to the environment, remains a significant challenge. "Phenomics", a global approach to the acquisition of phenotypic data at the scale of the whole organism, is uniquely suited as an approach. In this perspective, we explore the synergies between phenomics and Comparative Developmental Physiology (CDP), a discipline of increasing relevance to understanding sensitivity to drivers of global change. We then identify how organismal development itself provides an excellent model for pushing the boundaries of phenomics, given its inherent complexity, comparably smaller size, relative to adult stages, and the applicability of embryonic development to a broad suite of research questions using a diversity of species. Collection, analysis and interpretation of whole organismal phenotypic data are the largest obstacle to capitalising on phenomics for advancing our understanding of biological systems. We suggest that phenomics within the context of developing organismal form and function could provide an effective scaffold for addressing grand challenges in CDP and phenomics.

摘要

发育中生物体的动态特性及其功能对研究人员而言既是机遇也是挑战,通过采用创新的实证研究方法,有望在理解方面取得重大进展。在生物体发育过程中,表型的信息含量可以说比其他任何生命阶段都要多,它包含了广泛的时间、空间和功能尺度上的变化,并且与大量研究问题密切相关。然而,有效地测量生物体发育、生理调节和功能的个体发生及其对环境的反应,仍然是一项重大挑战。“表型组学”作为一种在整个生物体尺度上获取表型数据的全局方法,是独一无二的合适方法。在这篇综述中,我们探讨了表型组学与比较发育生理学(CDP)之间的协同作用,CDP这一学科对于理解对全球变化驱动因素的敏感性越来越重要。鉴于生物体发育本身具有内在复杂性、相对于成年阶段而言尺寸相对较小,以及胚胎发育适用于使用多种物种的一系列广泛研究问题,我们接着确定了生物体发育本身如何为突破表型组学的界限提供了一个绝佳模型。收集、分析和解释整个生物体的表型数据是利用表型组学推进我们对生物系统理解的最大障碍。我们认为,在发育中的生物体形态和功能背景下的表型组学可以为应对CDP和表型组学中的重大挑战提供一个有效的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/802e/10461620/c29c1fa9b933/fphys-14-1229500-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/802e/10461620/c29c1fa9b933/fphys-14-1229500-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/802e/10461620/c29c1fa9b933/fphys-14-1229500-g001.jpg

相似文献

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Phenomics as an approach to Comparative Developmental Physiology.表型组学作为一种比较发育生理学的方法。
Front Physiol. 2023 Aug 14;14:1229500. doi: 10.3389/fphys.2023.1229500. eCollection 2023.
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本文引用的文献

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EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways.胚胎网络:利用深度学习将胚胎表型与信号通路联系起来。
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Welcome to the Journal.欢迎来到本期刊。
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Phenomics enables measurement of complex responses of developing animals to global environmental drivers.表型组学使我们能够测量处于发育阶段的动物对全球环境驱动因素的复杂反应。
Sci Total Environ. 2023 Feb 1;858(Pt 2):159555. doi: 10.1016/j.scitotenv.2022.159555. Epub 2022 Oct 23.
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Phenomics Approach to Investigate Behavioral Toxicity of Environmental or Occupational Toxicants in Adult Zebrafish (Danio rerio).采用表型组学方法研究成年斑马鱼(Danio rerio)中环境或职业毒物的行为毒性。
Curr Protoc. 2021 Aug;1(8):e223. doi: 10.1002/cpz1.223.
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Next-Generation Breeding Strategies for Climate-Ready Crops.气候适应性作物的下一代育种策略
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Review: Application of Artificial Intelligence in Phenomics.综述:人工智能在表型组学中的应用。
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Developmental Physiology: Grand Challenges.发育生理学:重大挑战。
Front Physiol. 2021 Jun 10;12:706061. doi: 10.3389/fphys.2021.706061. eCollection 2021.
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Spectral phenotyping of embryonic development reveals integrative thermodynamic responses.胚胎发育的光谱表型分析揭示了综合热力学反应。
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The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data.现代植物育种三角:优化基因组学、表型组学和环境组学数据的利用
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