Department of Biology, University of Central Arkansas, Conway, Arkansas, United States of America.
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
PLoS One. 2019 May 23;14(5):e0217309. doi: 10.1371/journal.pone.0217309. eCollection 2019.
Major non-legume crops can form beneficial associations with nitrogen-fixing bacteria like Azospirillum brasilense. Our current understanding of the molecular aspects and signaling that occur between important crops like rice and these nitrogen-fixing bacteria is limited. In this study, we used an experimental system where the bacteria could colonize the plant roots and promote plant growth in wild type rice and symbiotic mutants (dmi3 and pollux) in rice. Our data suggest that plant growth promotion and root penetration is not dependent on these genes. We then used this colonization model to identify regulation of gene expression at two different time points during this interaction: at 1day post inoculation (dpi), we identified 1622 differentially expressed genes (DEGs) in rice roots, and at 14dpi, we identified 1995 DEGs. We performed a comprehensive data mining to classify the DEGs into the categories of transcription factors (TFs), protein kinases (PKs), and transporters (TRs). Several of these DEGs encode proteins that are involved in the flavonoid biosynthetic pathway, defense, and hormone signaling pathways. We identified genes that are involved in nitrate and sugar transport and are also implicated to play a role in other plant-microbe interactions. Overall, findings from this study will serve as an excellent resource to characterize the host genetic pathway controlling the interactions between non-legumes and beneficial bacteria which can have long-term implications towards sustainably improving agriculture.
主要的非豆科作物可以与固氮细菌如巴西固氮螺菌形成有益的共生关系。我们目前对水稻等重要作物与这些固氮细菌之间发生的分子层面和信号转导的理解是有限的。在这项研究中,我们使用了一个实验系统,其中细菌可以定植在植物根系中,并促进野生型水稻和共生突变体(dmi3 和 pollux)的生长。我们的数据表明,植物生长促进和根系穿透并不依赖于这些基因。然后,我们使用这种定植模型来识别在这种相互作用的两个不同时间点(接种后 1 天(dpi)和 14dpi)的基因表达调控:在 1dpi 时,我们在水稻根系中鉴定出 1622 个差异表达基因(DEGs),在 14dpi 时,我们鉴定出 1995 个 DEGs。我们进行了全面的数据挖掘,将 DEGs 分类为转录因子(TFs)、蛋白激酶(PKs)和转运蛋白(TRs)。这些 DEGs 中的几个编码参与类黄酮生物合成途径、防御和激素信号转导途径的蛋白质。我们鉴定出参与硝酸盐和糖转运的基因,这些基因也被认为在其他植物-微生物相互作用中发挥作用。总的来说,这项研究的结果将成为一个极好的资源,用于描述控制非豆科植物与有益细菌相互作用的宿主遗传途径,这对可持续地改善农业具有长期意义。