Rehman Hafiz M, Nawaz Muhammad A, Shah Zahid Hussain, Daur Ihsanullah, Khatoon Sadia, Yang Seung Hwan, Chung Gyuhwa
Department of Biotechnology, Chonnam National UniversityYeosu, South Korea.
Department of Arid Land Agriculture, King Abdul-Aziz UniversityJeddah, Saudi Arabia.
Front Plant Sci. 2017 May 23;8:804. doi: 10.3389/fpls.2017.00804. eCollection 2017.
Plants have evolved a sophisticated network of K transport systems to regulate growth and development. Limited K resources are now forcing us to investigate how plant demand can be satisfied. To answer this complex question, we must understand the genomic and transcriptomic portfolio of K transporters in plants. Here, we have identified 70 putative K transporter genes from soybean, including 29 HAK/KT/KUP genes, 16 genes encoding voltage-gated K channels, 9 TPK/KCO genes, 4 HKT genes, and 12 KEA genes. To clarify the molecular evolution of each family in soybean, we analyzed their phylogeny, mode of duplication, exon structures and splice sites, and paralogs. Additionally, ortholog clustering and syntenic analysis across five other dicots further explored the evolution of these gene families and indicated that the soybean data is suitable as a model for all other legumes. Available microarray data sets from Genevestigator about nodulation was evaluated and further confirmed with the RNA sequencing data available by a web server. For each family, expression models were designed based on Transcripts Per Kilobase Million (TPM) values; the outcomes indicated differential expression linked to nodulation and confirmed the genes' putative roles. In-depth studies such as ours provides the basis for understanding K inventories in all other plants.
植物已经进化出一套复杂的钾运输系统网络来调节生长和发育。有限的钾资源正促使我们去研究如何满足植物对钾的需求。为了回答这个复杂的问题,我们必须了解植物中钾转运体的基因组和转录组情况。在这里,我们从大豆中鉴定出70个假定的钾转运体基因,包括29个HAK/KT/KUP基因、16个编码电压门控钾通道的基因、9个TPK/KCO基因、4个HKT基因和12个KEA基因。为了阐明大豆中每个家族的分子进化,我们分析了它们的系统发育、复制模式、外显子结构和剪接位点以及旁系同源基因。此外,通过对其他五种双子叶植物的直系同源聚类和共线性分析,进一步探索了这些基因家族的进化,并表明大豆的数据适合作为所有其他豆科植物的模型。我们评估了来自Genevestigator的有关结瘤的可用微阵列数据集,并通过一个网络服务器提供的RNA测序数据进一步进行了确认。对于每个家族,基于每百万转录本(TPM)值设计了表达模型;结果表明与结瘤相关的差异表达,并证实了这些基因的假定作用。像我们这样的深入研究为理解所有其他植物中的钾情况提供了基础。