题目：A Protein Competition Model of Phenolic Allocation 一个用来解释酚类物质如何分配的蛋白质竞争模型
摘要
We present a Protein Competition Model (PCM) for predicting total phenolic allocation and concentration in leaves of terrestrial higher plants.
这篇文章我们主要是提出了叫做蛋白质竞争模型的模型（PCM），可以用来预测陆生高等植物的总酚含量及分配。
In contrast to predictions based on the carbon composition of end products, the PCM is based on metabolic origins of pathway constituents, alternative fates of pathway precursors, and biochemical regulatory mechanisms.
跟以往的根据最终产物的碳链化合物的组成来预测不一样，PCM是基于三个东西，1. 组成合成通路的化合物的来源/前体 2. 还有什么通路在跟合成总酚的通路竞争同样的前体 3. 生化调节机制
Protein and phenolic synthesis compete for the common, limiting resource phenylalanine, so protein and phenolic allocation are inversely correlated.
蛋白质和酚类的合成都需要苯丙氨酸，所以两者是竞争关系，导致分配在这两个方向的苯丙氨酸为负相关。
Phenolic allocation can be predicted from the effects of development, inherent growth rate and environment on leaf functions that create competing demands for proteins or phenolics.
植物的生长发育，内在增长速率和环境对植物叶片的功能有不同的影响，从而引发了蛋白质和酚类合成之间的竞争，所以根据这三者可以推测植物在酚类上的投入。
We present the model general principles.
我们提出了关于这个模型的一些主要原则，并基于这些原则可以对下列情况下的叶子的酚类浓度进行预测：
We predict phenolic concentrations as leaves develop;
- 叶子发育过程中酚类浓度的变化
in inherently fast versus slow growing species;
- 生长速度不同的物种之间酚类浓度的高低
and in response to the environment (nitrogen, light, phosphorus, heat shock, herbivore and pathogen injury, and carbon dioxide).
- 对不同的环境因子（氮啊，光啊，磷啊，热啊，植食压力啊，病虫害啊，甚至是二氧化碳浓度）的响应。
Because predictions generally fit observed patterns, we argue that, for phenylalanine-derived phenolics, the mechanistically distinctive PCM complements the Growth Differentiation and Resource Availability Hypotheses, and is a viable, testable alternative to the Carbon Nutrient Balance Hypothesis.
因为我们的预测跟实际观测值大体一致，我们认为PCM相较于之前的关于以苯丙氨酸为前体的酚类的模型，跟CNBH的预测是相反的，跟GDBH(Growth Differentiation Balance Hypothesis) 和RAH是一致的，但是从一个全新的机理来解释，所以是一个很好的补充。