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23 May 2023 Identification and prediction of functions for drought-responsive microRNAs in sugar beet (Beta vulgaris)
Chunlei Zou, Zhiqiang Guo, Shanshan Zhao, Jishuai Chen
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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.

Chunlei Zou, Zhiqiang Guo, Shanshan Zhao, and Jishuai Chen "Identification and prediction of functions for drought-responsive microRNAs in sugar beet (Beta vulgaris)," Crop and Pasture Science 74(12), 1180-1192, (23 May 2023). https://doi.org/10.1071/CP22359
Received: 2 November 2022; Accepted: 3 May 2023; Published: 23 May 2023
KEYWORDS
bioinformatics analysis
drought
high-throughput sequencing
microRNA (miRNA)
stress response
sugar beet (Beta vulgaris L.)
sulfur relay system
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