Payá Gloria, Bautista Vanesa, Camacho Mónica, Castejón-Fernández Natalia, Alcaraz Luís A, Bonete María-José, Esclapez Julia
Agrochemistry and Biochemistry Department, Biochemistry and Molecular Biology Division, Faculty of Science, University of Alicante, Ap 99, E-03080 Alicante, Spain.
Bioarray, S.L., 03202 Alicante, Spain.
Genes (Basel). 2018 Feb 10;9(2):83. doi: 10.3390/genes9020083.
Small RNAs have been studied in detail in domains Bacteria and Eukarya but, in the case of the domain Archaea, the knowledge is scarce and the physiological function of these small RNAs (sRNAs) is still uncertain. To extend the knowledge of sRNAs in the domain Archaea and their possible role in the regulation of the nitrogen assimilation metabolism in haloarchaea, has been used as a model microorganism. The bioinformatic approach has allowed for the prediction of 295 putative sRNAs genes in the genome of , 88 of which have been verified by means of RNA-Sequencing (RNA-Seq). The secondary structure of these sRNAs and their possible targets have been identified. Curiously, some of them present as possible target genes relating to nitrogen assimilation, such as glutamate dehydrogenase and the nitrogen regulatory PII protein. Analysis of RNA-Seq data has also revealed differences in the expression pattern of 16 sRNAs according to the nitrogen source. Consequently, RNomic and bioinformatic approaches used in this work have allowed for the identification of new sRNAs in , some of which show different expression patterns depending on the nitrogen source. This suggests that these sRNAs could be involved in the regulation of nitrogen assimilation and can constitute an important gene regulatory network.
小RNA在细菌域和真核生物域中已得到详细研究,但在古菌域中,相关知识却很匮乏,这些小RNA(sRNA)的生理功能仍不明确。为了扩展对古菌域中sRNA的了解以及它们在嗜盐古菌氮同化代谢调控中的可能作用,已将[具体微生物名称未给出]用作模式微生物。生物信息学方法已在[具体微生物名称未给出]的基因组中预测出295个假定的sRNA基因,其中88个已通过RNA测序(RNA-Seq)得到验证。这些sRNA的二级结构及其可能的靶标已被确定。奇怪的是,其中一些呈现出与氮同化相关的可能靶标基因,如谷氨酸脱氢酶和氮调节PII蛋白。对RNA-Seq数据的分析还揭示了16种sRNA根据氮源不同而在表达模式上的差异。因此,本研究中使用的RNA组学和生物信息学方法已在[具体微生物名称未给出]中鉴定出新的sRNA,其中一些根据氮源显示出不同的表达模式。这表明这些sRNA可能参与氮同化调控,并可构成一个重要的基因调控网络。