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水稻转录组分析揭示氮饥饿调节多种代谢相关基因的差异可变剪接和转录本使用情况。

Rice Transcriptome Analysis Reveals Nitrogen Starvation Modulates Differential Alternative Splicing and Transcript Usage in Various Metabolism-Related Genes.

作者信息

Chaudhary Saurabh, Kalkal Meenu

机构信息

Cardiff School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK.

Parasite-Host Biology, National Institute of Malaria Research, Dwarka, New Delhi 110077, India.

出版信息

Life (Basel). 2021 Mar 27;11(4):285. doi: 10.3390/life11040285.

DOI:10.3390/life11040285
PMID:33801769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8066416/
Abstract

Nitrogen (N) is crucial for plant growth and development; however, excessive use of N fertilizers cause many problems including environmental damage, degradation of soil fertility, and high cost to the farmers. Therefore, immediate implementation is required to develop N efficient crop varieties. Rice being low nitrogen use efficiency (NUE) and a high demand staple food across the world has become a favorite crop to study the NUE trait. In the current study, we used the publicly available transcriptome data generated from the root and shoot tissues of two rice genotypes IR-64 and Nagina-22 (N-22) under optimum N supply (N) and chronic N-starvation (N). A stringent pipeline was applied to detect differentially expressed genes (DEGs), alternatively spliced (DAS) genes, differentially expressed transcripts (DETs) and differential transcript usage (DTU) transcripts in both the varieties and tissues under N and N conditions. The DAS genes and DTU transcripts identified in the study were found to be involved in several metabolic and biosynthesis processes. We suggest alternative splicing (AS) plays an important role in fine-tuning the regulation of metabolic pathways related genes in genotype, tissue, and condition-dependent manner. The current study will help in understanding the transcriptional dynamics of NUE traits in the future.

摘要

氮(N)对植物生长发育至关重要;然而,过量使用氮肥会引发诸多问题,包括环境破坏、土壤肥力下降以及农民成本增加。因此,迫切需要立即开展工作以培育氮高效作物品种。水稻作为全球氮肥利用效率(NUE)低且需求高的主食作物,已成为研究氮利用效率性状的热门作物。在本研究中,我们使用了公开可得的转录组数据,这些数据来自两种水稻基因型IR - 64和Nagina - 22(N - 22)在最佳氮供应(N)和长期氮饥饿(N)条件下的根和地上部组织。我们应用了严格的流程来检测两种品种以及在N和N条件下各组织中的差异表达基因(DEG)、可变剪接(DAS)基因、差异表达转录本(DET)和差异转录本使用(DTU)转录本。研究中鉴定出的DAS基因和DTU转录本参与了多个代谢和生物合成过程。我们认为可变剪接(AS)在以基因型、组织和条件依赖的方式微调与代谢途径相关基因的调控中发挥着重要作用。本研究将有助于未来理解氮利用效率性状的转录动态。

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3D RNA-seq: a powerful and flexible tool for rapid and accurate differential expression and alternative splicing analysis of RNA-seq data for biologists.3D RNA测序:一种强大且灵活的工具,用于生物学家对RNA测序数据进行快速准确的差异表达和可变剪接分析。
RNA Biol. 2021 Nov;18(11):1574-1587. doi: 10.1080/15476286.2020.1858253. Epub 2020 Dec 19.
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高质量参考转录组构建改善了籼稻中的RNA测序定量。
Front Genet. 2022 Sep 29;13:995072. doi: 10.3389/fgene.2022.995072. eCollection 2022.
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Metabolism of Photosynthetic Organisms.光合生物的新陈代谢
Life (Basel). 2021 Sep 10;11(9):946. doi: 10.3390/life11090946.
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BMC Genomics. 2020 May 11;21(1):353. doi: 10.1186/s12864-020-6769-8.
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High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response.利用数字和高光谱成像衍生的生物标志物进行高通量表型分析,以研究基因型氮响应。
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A world of co-benefits: Solving the global nitrogen challenge.一个多重效益的世界:应对全球氮挑战
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