Abiotic stresses limit the plant growth and productivity. Plants have developed various responsive mechanisms to survive these adverse environmental conditions. To better understand plants how to adapt environmental stress, we retrieved the Arabidopsis root responsive genes related to eight abiotic stresses (salt, cold, drought, osmotic, UV, wounding, heat, and heavy metal stresses) from the Gene Expression Omnibus (GEO) database. After quantile normalization of microarray data, a robust rank aggregation (RRA) algorithm was applied to determine the differentially expressed genes (DEGs). The resultant 213 DEGs, including 139 up-regulated and 74 down-regulated genes out of more than 20,000 genes, were further analyzed by the integrated bioinformatics approaches of PUBMED, PANTHER, DAVID, and STRING. The results indicated that the up-regulated DEGs were more positively involved in response to oxidative stress, regulation of transcription, and structure organization than the down-regulated DEGs. The former also had more complicated PPI interactions than the latter. Furthermore, qRT-PCR and enzyme activity have been done to validate the outcome of integrated bioinformatics analysis. Our work will facilitate to demonstrate the common molecular mechanisms responsive to differential abiotic stresses and these DEGs might be potential biomarkers for future abiotic stress-resistance studies.

非生物胁迫限制了植物的生长和生产力。植物已经开发出各种响应机制以在这些不利的环境条件下生存。为了更好地了解植物如何适应环境胁迫，我们从基因表达综合（GEO）中检索了与八种非生物胁迫（盐，寒冷，干旱，渗透，紫外线，创伤，热和重金属胁迫）相关的拟南芥根响应基因。数据库。在对微阵列数据进行分位数归一化之后，应用鲁棒秩聚合（RRA）算法来确定差异表达基因（DEG）。通过PUBMED，PANTHER，DAVID和STRING的整合生物信息学方法进一步分析了所得的213个DEG，包括20,000多个基因中的139个上调基因和74个下调基因。结果表明，上调的DEG比下调的DEG更积极地参与对氧化应激，转录调控和结构组织的响应。前者的PPI交互也比后者复杂。此外，已经完成了qRT-PCR和酶活性以验证综合生物信息学分析的结果。我们的工作将有助于证明对不同的非生物胁迫产生响应的常见分子机制，而这些DEGs可能是未来非生物抗胁迫研究的潜在生物标记。已经完成了qRT-PCR和酶活性以验证综合生物信息学分析的结果。我们的工作将有助于证明对不同的非生物胁迫产生响应的常见分子机制，而这些DEGs可能是未来非生物抗胁迫研究的潜在生物标记。已经完成了qRT-PCR和酶活性以验证综合生物信息学分析的结果。我们的工作将有助于证明对不同的非生物胁迫产生响应的常见分子机制，而这些DEGs可能是未来非生物抗胁迫研究的潜在生物标记。