Identification and prediction of functions for drought-responsive microRNAs in sugar beet (Beta vulgaris)

Author:

Zou ChunleiORCID,Guo Zhiqiang,Zhao Shanshan,Chen Jishuai

Abstract

Context Drought is a common abiotic stress affecting crop yield and quality worldwide. Sugar beet (Beta vulgaris L.) is a temperate crop that contributes greatly to world sucrose production and is affected by frequent drought. MicroRNAs (miRNAs) have been demonstrated to play an important role in plant abiotic stress responses. Protein-coding genes associated with drought resistance have been identified in sugar beet; however, studies on miRNAs involved in drought stress response are lacking. Aims The present study focused on analysing miRNAs in sugar beet and their roles in drought stress response. Method Small-RNA libraries were constructed from leaves of plants subjected to drought stress and well-watered conditions. High-throughput sequencing and bioinformatics analysis were used to investigate the genome-wide quantity of miRNAs and identify possible drought response regulatory effects. Key results Deep sequencing identified 49 known miRNAs and 59 new miRNAs. According to the Kyoto Encyclopaedia of Genes and Genomes (KEGG), the sulfur relay system was significantly enriched under drought stress. Co-regulated pairs between miR156a-5p, novel_18 and novel_41, and their target genes BVRB_6g136190, BVRB_009610 and BVRB_6g136680 were observed, suggesting a negative feedback modulation involved in the miRNA pathways. Conclusions Our results indicate that certain metabolic pathways such as the sulfur relay system are activated under drought conditions. Implications The results aid understanding of the mechanisms of drought response at the molecular level and may enable tools to be devised that enhance drought resistance in sugar beet.

Funder

Doctoral Research Starting Project at Shanxi Agricultural University

Award Scientific Program for Excellent Doctors in Shanxi Province

Publisher

CSIRO Publishing

Subject

Plant Science,Agronomy and Crop Science

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