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Changes in the transcriptomic profiles of maize roots in response to iron-deficiency stress

文献类型： 外文期刊

作者： Li, Yan 1 ; Wang, Nian 2 ; Zhao, Fengtao 3 ; Song, Xuejiao 1 ; Yin, Zhaohua 1 ; Huang, Rong 1 ; Zhang, Chunqing 1 ;

作者机构： 1.Shandong Agr Univ, Shandong Cooperat Innovat Ctr Efficient Prod High, Shandong Key Lab Crop Biol, State Key Lab Crop Biol,Coll Agron, Tai An 271018, Shandong, Peoples R China

2.Chinese Acad Sci, Wuhan Bot Garden, Key Lab Plant Germplasm Enhancement & Special Agr, Wuhan 430074, Peoples R China

3.Shandong Cotton Res Ctr, J

关键词： Transcriptome;Illumina sequencing;Iron deficiency;Interveinal chlorosis;Maize

期刊名称：PLANT MOLECULAR BIOLOGY （ 影响因子：4.076； 五年影响因子：4.89 ）

ISSN：

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收录情况： SCI

摘要： Plants are often subjected to iron (Fe)-deficiency stress because of its low solubility. Plants have evolved two distinct strategies to solubilize and transport Fe to acclimate to this abiotic stress condition. Transcriptomic profiling analysis was performed using Illumina digital gene expression to understand the mechanism underlying resistance responses of roots to Fe starvation in maize, an important Strategy II plant. A total of 3,427, 4,069, 4,881, and 2,610 genes had significantly changed expression levels after Fe-deficiency treatments of 1, 2, 4 or 7 days, respectively. Genes involved in 2'-deoxymugineic acid (DMA) synthesis, secretion, and Fe(III)-DMA uptake were significantly induced. Many genes related to plant hormones, protein kinases, and protein phosphatases responded to Fe-deficiency stress, suggesting their regulatory roles in response to the Fe-deficiency stress. Functional annotation clustering analysis, using the Database for Annotation, Visualization and Integrated Discovery, revealed maize root responses to Fe starvation. This resulted in 38 functional annotation clusters: 25 for up-regulated genes, and 13 for down-regulated ones. These included genes encoding enzymes involved in the metabolism of carboxylic acids, isoprenoids and aromatic compounds, transporters, and stress response proteins. Our work provides integrated information for understanding maize response to Fe-deficiency stress.

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