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亚麻发育胚胎和营养组织的时空转录组图谱

Spatiotemporal Transcriptomic Atlas of Developing Embryos and Vegetative Tissues in Flax.

作者信息

Gao Peng, Qiu Shuqing, Ma Xingliang, Parkin Isobel A P, Xiang Daoquan, Datla Raju

机构信息

Global Institute for Food Security, University of Saskatchewan, Saskatoon, SK S7N 4L8, Canada.

Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK S7N 0X2, Canada.

出版信息

Plants (Basel). 2022 Aug 4;11(15):2031. doi: 10.3390/plants11152031.

Abstract

Flax ( L.) is an important multipurpose crop widely grown for oil and fiber. Despite recent advances in genomics, detailed gene activities during the important reproductive phase of its development are not well defined. In this study, we employed high-throughput RNA-sequencing methods to generate in-depth transcriptome profiles of flax tissues with emphasis on the reproductive phases of five key stages of embryogenesis (globular embryo, heart embryo, torpedo embryo, cotyledon embryo, and mature embryo), mature seed, and vegetative tissues viz. ovary, anther, and root. These datasets were used to establish the co-expression networks covering 36 gene modules based on the expression patterns for each gene through weighted gene co-expression network analysis (WGCNA). Functional interrogation with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) of dominantly expressed genetic modules in tissues revealed pathways involved in the development of different tissues. Moreover, the essential genes in embryo development and synthesis of storage reserves were identified based on their dynamic expression patterns. Together, this comprehensive dataset for developing embryos, mature seeds and vegetative tissues provides new insights into molecular mechanisms of seed development with potential for flax crop improvement.

摘要

亚麻(L.)是一种重要的多用途作物,广泛种植用于获取油脂和纤维。尽管基因组学最近取得了进展,但其发育过程中重要生殖阶段的详细基因活动仍未明确界定。在本研究中,我们采用高通量RNA测序方法,生成亚麻组织的深度转录组图谱,重点关注胚胎发生五个关键阶段(球形胚、心形胚、鱼雷形胚、子叶胚和成熟胚)、成熟种子以及营养组织(即子房、花药和根)的生殖阶段。通过加权基因共表达网络分析(WGCNA),基于每个基因的表达模式,利用这些数据集建立了涵盖36个基因模块的共表达网络。对组织中优势表达的基因模块进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)功能分析,揭示了参与不同组织发育的途径。此外,根据其动态表达模式鉴定了胚胎发育和贮藏物质合成中的关键基因。总之,这个关于发育中的胚胎、成熟种子和营养组织的综合数据集为种子发育的分子机制提供了新见解,具有改善亚麻作物的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b341/9370790/55d1fd0534a7/plants-11-02031-g001.jpg

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