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基于转录组学的方法用于阐明营养响应及提高作物产量。

Transcriptome-based approaches for clarification of nutritional responses and improvement of crop production.

作者信息

Takehisa Hinako, Sato Yutaka

机构信息

Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan.

出版信息

Breed Sci. 2021 Feb;71(1):76-88. doi: 10.1270/jsbbs.20098. Epub 2020 Dec 24.

Abstract

Genome-wide transcriptome profiling is a powerful tool for identifying key genes and pathways involved in plant development and physiological processes. This review summarizes studies that have used transcriptome profiling mainly in rice to focus on responses to macronutrients such as nitrogen, phosphorus and potassium, and spatio-temporal root profiling in relation to the regulation of root system architecture as well as nutrient uptake and transport. We also discuss strategies based on meta- and co-expression analyses with different attributed transcriptome data, which can be used for investigating the regulatory mechanisms and dynamics of nutritional responses and adaptation, and speculate on further advances in transcriptome profiling that could have potential application to crop breeding and cultivation.

摘要

全基因组转录组分析是鉴定参与植物发育和生理过程的关键基因及途径的有力工具。本综述总结了主要利用水稻转录组分析来聚焦对氮、磷和钾等大量营养素的响应,以及与根系结构调控以及养分吸收和运输相关的时空根系分析的研究。我们还讨论了基于不同属性转录组数据的元分析和共表达分析的策略,这些策略可用于研究营养响应和适应的调控机制及动态,并推测转录组分析在作物育种和栽培中可能具有潜在应用的进一步进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/7973498/b3a593adb786/71_076-g001.jpg

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