Lu Yan, Savage Linda J, Last Robert L
Department of Biological Sciences, Western Michigan University, Kalamazoo, MI, USA.
Methods Mol Biol. 2011;775:161-85. doi: 10.1007/978-1-61779-237-3_9.
As part of a project to analyze chloroplast functional networks systematically, we have subjected mutants in >3,200 nuclear genes predicted to encode chloroplast-targeted proteins in Arabidopsis thaliana (http://www.plastid.msu.edu) to parallel phenotypic assays. Detailed methods are presented for the various assays being used in this project to study chloroplast biology. These include morphological analysis of plants, chloroplasts, and seeds using controlled vocabulary. Metabolites synthesized in the chloroplast such as starch, amino acids, and fatty acids are analyzed in groups according to their chemical properties. As an indicator for the relative composition of seed storage oil and proteins, the carbon and nitrogen contents are determined by an elemental analyzer. The methods in this chapter describe how the assays are configured to run in relatively high throughput, maximizing data quality.
作为系统分析叶绿体功能网络项目的一部分,我们对拟南芥中预测编码叶绿体靶向蛋白的3200多个核基因的突变体进行了平行表型分析(http://www.plastid.msu.edu)。本文详细介绍了本项目用于研究叶绿体生物学的各种分析方法。这些方法包括使用控制词汇对植物、叶绿体和种子进行形态分析。对叶绿体中合成的代谢物,如淀粉、氨基酸和脂肪酸,根据其化学性质进行分组分析。作为种子储存油和蛋白质相对组成的指标,通过元素分析仪测定碳和氮含量。本章中的方法描述了如何将这些分析配置为相对高通量运行,以最大限度地提高数据质量。