Literature DB >> 31177404

Transcriptome-wide identification and characterization of microRNAs responsive to phosphate starvation in Populus tomentosa.

Hai Bao1, Hui Chen1, Min Chen1, Huimin Xu2, Xiaowei Huo1, Qianhui Xu1, Yanwei Wang3.   

Abstract

miRNAs (microRNAs) are ~ 21-nt non-coding small RNAs (sRNAs) that play crucial regulatory roles in plant biotic and abiotic stress responses. Phosphorus (Pi) deficiency constrains plant growth and reduces yields worldwide. To identify tree miRNAs and evaluate their functions in the response to low Pi, we identified 261 known and 31 candidate novel miRNA families from three sRNA libraries constructed from Populus tomentosa subjected to sufficient or Pi deficiency condition or to restoration of a sufficient Pi level after Pi deficiency. Pi deficiency resulted in significant changes in the abundance of TPM (transcript per million) of 65 known and 3 novel miRNAs. Interestingly, four miRNAs responsive to low N-miR167, miR394, miR171, and miR857-were found to be involved in the response to low Pi. Thirty-five known and one novel miRNAs responded dynamically to Pi fluctuations, suggesting their involvement in the response to Pi deficiency. miRNA clusters comprising 36 miRNAs were identified in 10 chromosomes. Intriguingly, nine pairs of sense and antisense miRNAs transcribed from the same loci were detected in P. tomentosa, which is the first such report in woody plants. Moreover, target genes of the known miRNAs and novel miRNA candidates with significantly changed abundance were predicted, and their functions were annotated. Degradome sequencing supported the identified targets of miRNAs in P. tomentosa. These findings will enhance our understanding of universal and specific molecular regulatory mechanisms of trees under nutrition stress and may facilitate improvement of the Pi utilization efficiency of woody plants.

Entities:  

Keywords:  Degradome; High-throughput sequencing; MicroRNA; Phosphate deficiency; Populus tomentosa; Targets

Mesh:

Substances:

Year:  2019        PMID: 31177404     DOI: 10.1007/s10142-019-00692-1

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


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