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首页> 外文期刊>Journal of Experimental Botany >A method to construct dose-response curves for a wide range of environmental factors and plant traits by means of a meta-analysis of phenotypic data
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A method to construct dose-response curves for a wide range of environmental factors and plant traits by means of a meta-analysis of phenotypic data

机译：通过表型数据的荟萃分析构建多种环境因素和植物性状的剂量反应曲线的方法

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摘要

In the past, biologists have characterized the responses of a wide range of plant species to their environment. As a result, phenotypic data from hundreds of experiments are publicly available now. Unfortunately, this information is not structured in a way that enables quantitative and comparative analyses. We aim to fill this gap by building a large database which currently contains data on 1000 experiments and 800 species. This paper presents methodology to generalize across different experiments and species, taking the response of specific leaf area (SLA; leaf area:leaf mass ratio) to irradiance as an example. We show how to construct and quantify a normalized mean light-response curve, and subsequently test whether there are systematic differences in the form of the curve between contrasting subgroups of species. This meta-analysis is then extended to a range of other environmental factors important for plant growth as well as other phenotypic traits, using > 5300 mean values. The present approach, which we refer to as 'meta-phenomics', represents a valuable tool in understanding the integrated response of plants to their environment and could serve as a benchmark for future phenotyping efforts as well as for modelling global change effects on both wild species and crops.
机译：过去，生物学家已经对多种植物物种对环境的反应进行了表征。结果，来自数百个实验的表型数据现已公开。不幸的是，该信息的结构无法实现定量和比较分析。我们旨在通过建立一个大型数据库来填补这一空白，该数据库目前包含有关1000个实验和800个物种的数据。本文以特定叶面积（SLA;叶面积：叶质量比）对辐照度的响应为例，提出了可以概括不同实验和物种的方法。我们展示了如何构建和量化归一化平均光响应曲线，随后测试物种的对比亚组之间曲线形式是否存在系统差异。然后使用> 5300个平均值，将这一荟萃分析扩展到对植物生长以及其他表型性状重要的其他环境因素。我们将这种方法称为“元-表型”，它是了解植物对环境的综合反应的一种有价值的工具，可以作为未来表型研究工作的模型，也可以作为对野生生物全球变化影响建模的基准种类和农作物。

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