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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.

DOI:10.1270/jsbbs.20098
PMID:33762878
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7973498/
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/decbe12985bb/71_076-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/7973498/b3a593adb786/71_076-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/7973498/904eba4cee1a/71_076-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/7973498/decbe12985bb/71_076-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/7973498/b3a593adb786/71_076-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/7973498/904eba4cee1a/71_076-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a57/7973498/decbe12985bb/71_076-g003.jpg

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本文引用的文献

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New Phytol. 2003 Mar;157(3):423-447. doi: 10.1046/j.1469-8137.2003.00695.x.
2
An Integrated Analysis of the Rice Transcriptome and Metabolome Reveals Root Growth Regulation Mechanisms in Response to Nitrogen Availability.水稻转录组和代谢组的综合分析揭示了氮素供应响应下根生长的调控机制。
Int J Mol Sci. 2019 Nov 24;20(23):5893. doi: 10.3390/ijms20235893.
3
A Meta-Analysis of Comparative Transcriptomic Data Reveals a Set of Key Genes Involved in the Tolerance to Abiotic Stresses in Rice.
基于樱花（×）品种‘染井吉野’临近开花的花器官转录组的樱花开花预测
Front Plant Sci. 2022 Jan 26;13:802203. doi: 10.3389/fpls.2022.802203. eCollection 2022.
一项比较转录组数据的荟萃分析揭示了一组参与水稻非生物胁迫耐受的关键基因。
Int J Mol Sci. 2019 Nov 12;20(22):5662. doi: 10.3390/ijms20225662.
4
Transcriptome-Based Prediction of Complex Traits in Maize.基于转录组的玉米复杂性状预测。
Plant Cell. 2020 Jan;32(1):139-151. doi: 10.1105/tpc.19.00332. Epub 2019 Oct 22.
5
WGCNA Analysis of Salt-Responsive Core Transcriptome Identifies Novel Hub Genes in Rice.盐响应核心转录组的 WGCNA 分析鉴定水稻中的新枢纽基因。
Genes (Basel). 2019 Sep 17;10(9):719. doi: 10.3390/genes10090719.
6
An Integrated Analysis of the Rice Transcriptome and Metabolome Reveals Differential Regulation of Carbon and Nitrogen Metabolism in Response to Nitrogen Availability.氮素供应响应中碳氮代谢差异调控的水稻转录组和代谢组综合分析。
Int J Mol Sci. 2019 May 11;20(9):2349. doi: 10.3390/ijms20092349.
7
Abiotic and biotic stresses induce a core transcriptome response in rice.非生物胁迫和生物胁迫诱导水稻核心转录组的响应。
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