Abstract

Drought is a major limiting factor in foraging grass yield and quality. Medicago ruthenica (M. ruthenica) is a high-quality forage legume with drought resistance, cold tolerance, and strong adaptability. In this study, we integrated transcriptome, small RNA, and degradome sequencing in identifying drought response genes, microRNAs (miRNAs), and key miRNA-target pairs in M. ruthenica under drought and rewatering treatment conditions. A total of 3,905 genes and 50 miRNAs (45 conserved and 5 novel miRNAs) were significantly differentially expressed in three test conditions (CK: control, DS: plants under drought stress, and RW: plants rewatering after drought stress). The degradome sequencing (AllenScore < 4) analysis revealed that 104 miRNAs (11 novel and 93 conserved miRNAs) were identified with 263 target transcripts, forming 296 miRNA-target pairs in three libraries. There were 38 differentially expressed targets from 16 miRNAs in DS vs. CK, 31 from 11 miRNAs in DS vs. RW, and 6 from 3 miRNAs in RW vs. CK; 21, 18, and 3 miRNA-target gene pairs showed reverse expression patterns in DS vs. CK, DS vs. RW, and RW vs. CK comparison groups, respectively. These findings provide valuable information for further functional characterization of genes and miRNAs in response to abiotic stress, in general, and drought stress in M. ruthenica, and potentially contribute to drought resistance breeding of forage in the future.

Highlights

  • Drought is the most widespread climatic extreme that has a negative impact on human and natural environments (Touma et al, 2015; Schwalm et al, 2017)

  • To profile the expression of genes in M. ruthenica in response to drought stress, nine libraries were constructed from three leaf samples (CK: control, drought stress treatment group (DS): plants under drought stress, rewatering group (RW): plants rewatering after drought stress), each with three biological replicates

  • All assembled unigene clusters were aligned against Gene Ontology (GO),1 Kyoto Encyclopedia of Genes and Genomes (KEGG),2 Pfam database,3 SwissProt database,4 evolutionary genealogy of genes: Non-supervised Orthologous Groups5 databases, and NCBI non-redundant protein database (NCBI_NR)6 using DIAMOND 23 with a threshold E-value < 0.00001 (Buchfink et al, 2015)

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Summary

Introduction

Drought is the most widespread climatic extreme that has a negative impact on human and natural environments (Touma et al, 2015; Schwalm et al, 2017). It has received more attention with the increase of severe drought occurrences. MiRNAs are endogenous non-coding small RNAs measuring 20–24 nt long (Jones-Rhoades et al, 2006) They negatively regulate gene expression at the post-transcriptional level via direct cleavage of the target mRNA or inhibition of target gene translation by recognizing and combining to their target mRNAs (Bartel, 2004; Voinnet, 2009). The gene pool regulated by miRNAs can be very extensive

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