Deep sequencing exposes small RNA transcriptome differences between low- and high-temperature stress responses in Arabidopsis

Vesselin Baev, Ivan Milev, Mladen Naydenov, Tihomir Vachev, Elena Apostolova, Nikolay Mehterov, Mariana Gozmanova, Ivan Minkov, Galina Yahubyan

Abstract


Plant small RNAs (sRNAs) include two major groups distinguished by their different modes of biogenesis - microRNAs (miRNAs) and small-interfering RNAs (siRNAs). Despite of numerous studies on the involvement of particular sRNA  in plant stress response, there are only few reports on the genome-wide sRNA profiles generated under different stress treatments. To understand the involvement of the various sRNA groups in plant response to different stress factors, we characterized sRNA datasets produced by high-throughput sequencing (HTS) from Arabidopsis plants suffering from low-temperature (LT) and high-temperature (HT) stress for 24 hour. Our study for the first time presents the genome-wide sRNA profiles of LT and HT treated plants and reveals that they greatly differed in the first 24 hours of stress onset. Under the NT and LT conditions, the sRNA populations were dominated by 21-nt sRNAs. Another important finding is that there are many protein-coding genes that give rise to differentially expressed sRNAs following temperature shifts. The LT treatment caused increased production of sRNAs of sense polarity from numbers of cold-responsive genes such as COR15A, COR47, COR413, KIN2, KIN1. The HT treatment induced production of sRNAs of sense and antisense polarity from many genes encoding functionally diverse proteins. Amongst the temperature induced sRNA-producing loci, several can be selected whose sRNA profiles can be used to distinguish HTS libraries generated under low-temperature stress from those generated under high-temperature treatment.

Keywords


NGS; small RNAs; next generation sequencing

Full Text:

PDF


DOI: http://dx.doi.org/10.14806/ej.19.A.668

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.