TaWRKY68 responses to biotic stresses are revealed by the orthologous genes from major cereals.
TaWRKY68 responses to biotic stresses are revealed by the orthologous genes from major cereals.
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DOI：
10.1590/s1415-47572014000100013
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发表时间：
2014-03
影响因子：
2.1
通讯作者：
Xie X
中科院分区：
文献类型：
--
作者：
Ding B;Wang J;Song N;Li M;Cheng Q;Huang G;Guo Y;Fu Y;Xie C;Sun Q;Xie X
过去 20 年来，WRKY 转录因子已被广泛表征，但在小麦中，对 WRKY 基因及其功能的研究落后于许多其他物种。为了探索小麦 WRKY 基因的功能，我们从一个常见的小麦品种中鉴定出了 TaWRKY68 基因。它编码包含 313 个氨基酸的蛋白质，其中包含 19 个保守基序或活性位点。通过使用 Genevestigator 分析小麦中 TaWRKY68 以及玉米、水稻和大麦的直系同源基因的微阵列数据，确定基因表达模式。使用 NCBI 提供的 DELTA-BLAST 和 COBALT 程序对 TaWRKY68 直系同源物进行鉴定和聚类。结果表明，这些基因在所有测试的组织中表达，在根中的水平相对较高，并且在生物胁迫下上调。生物信息学结果通过 RT-PCR 实验得到了证实，该实验使用了被根癌农杆菌和小麦白粉菌感染的小麦植物，或者用脱氧雪腐镰刀菌烯醇（一种小麦或大麦中的禾谷镰刀菌诱导的霉菌毒素）处理过的小麦植物。总之，TaWRKY68 的功能在植物发育阶段有所不同，可能代表小麦对各种生物胁迫反应的枢纽基因功能。研究还发现，将主要谷物基因的数据纳入生物信息学分析可以更准确、更全面地预测小麦基因功能。
WRKY transcription factors have been extensively characterized in the past 20 years, but in wheat, studies on WRKY genes and their function are lagging behind many other species. To explore the function of wheat WRKY genes, we identified a TaWRKY68 gene from a common wheat cultivar. It encodes a protein comprising 313 amino acids which harbors 19 conserved motifs or active sites. Gene expression patterns were determined by analyzing microarray data of TaWRKY68 in wheat and of orthologous genes from maize, rice and barley using Genevestigator. TaWRKY68 orthologs were identified and clustered using DELTA-BLAST and COBALT programs available at NCBI. The results showed that these genes, which are expressed in all tissues tested, had relatively higher levels in the roots and were up-regulated in response to biotic stresses. Bioinformatics results were confirmed by RT-PCR experiments using wheat plants infected by Agrobacterium tumefaciens and Blumeria graminis, or treated with Deoxynivalenol, a Fusarium graminearum-induced mycotoxin in wheat or barley. In summary, TaWRKY68 functions differ during plant developmental stages and might be representing a hub gene function in wheat responses to various biotic stresses. It was also found that including data from major cereal genes in the bioinformatics analysis gave more accurate and comprehensive predictions of wheat gene functions.
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