Literature DB >> 26243687

Discovery of microRNAs and transcript targets related to witches' broom disease in Paulownia fortunei by high-throughput sequencing and degradome approach.

Suyan Niu1,2, Guoqiang Fan3,4, Minjie Deng1,2, Zhenli Zhao1,2, Enkai Xu1,2, Lin Cao1,2.   

Abstract

Paulownia witches' broom (PaWB) caused by the phytoplasma is a devastating disease of Paulownia trees. It has caused heavy yield losses to Paulownia production worldwide. However, knowledge of the transcriptional and post-transcriptional regulation of gene expression by microRNAs (miRNAs), especially miRNAs responsive to PaWB disease stress, is still rudimentary. In this study, to identify miRNAs and their transcript targets that are responsive to PaWB disease stress, six sequencing libraries were constructed from healthy (PF), PaWB-infected (PFI), and PaWB-infected, 20 mg L(-1) methyl methane sulfonate-treated (PFI20) P. fortunei seedlings. As a result, 95 conserved miRNAs belonging to 18 miRNA families, as well as 122 potential novel miRNAs, were identified. Most of them were found to be a response to PaWB disease-induced stress, and the expression levels of these miRNAs were validated by quantitative real-time PCR analysis. The study simultaneously identified 109 target genes from the P. fortunei for 14 conserved miRNA families and 24 novel miRNAs by degradome sequencing. Furthermore, the functions of the miRNA targets were annotated based on Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis. The results presented here provide the groundwork for further analysis of miRNAs and target genes responsive to the PaWB disease stress, and could be also useful for addressing new questions to better understand the mechanisms of plant infection by phytoplasma in the future.

Entities:  

Keywords:  Degradome sequencing; MicroRNA (miRNA); Paulownia fortunei; Paulownia witches’ broom (PaWB); Transcript target

Mesh:

Substances:

Year:  2015        PMID: 26243687     DOI: 10.1007/s00438-015-1102-y

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  51 in total

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