The Identification of MATE Antisense Transcripts in Soybean Using Strand-Specific RNA-Seq Datasets.

Area of Science:

• Plant molecular biology
• Genomics and transcriptomics

Background:

• Natural antisense transcripts (NATs) are typically considered negative regulators of gene expression.
• Multidrug and toxic compound extrusion (MATE) proteins are crucial transporters, but their transcript regulation is poorly understood.
• Genome-wide identification of MATE genes exists, yet regulatory mechanisms remain unclear.

Purpose of the Study:

• To identify and characterize natural antisense transcripts (NATs) of MATE genes in soybean.
• To investigate the regulatory relationship between MATE sense and antisense transcripts.
• To explore the functional implications of MATE NATs in soybean.

Main Methods:

• Analysis of publicly available strand-specific RNA-seq datasets from Glycine soja (wild soybean) across various tissues.
• Transcriptome assembly and identification of MATE antisense transcripts.
• Spearman correlation analysis to assess expression correlations between sense and antisense pairs.
• RT-qPCR validation in Glycine max (cultivated soybean) developing pods and seeds.

Main Results:

• Identified 35 MATE antisense transcripts from 28 gene loci in Glycine soja.
• Eight MATE antisense and sense transcript pairs showed positive expression correlations.
• RT-qPCR confirmed positive correlations between specific MATE antisense and sense transcript pairs in developing soybean pods and seeds.
• Demonstrated that soybean antisense transcripts can exhibit positive regulatory effects.

Conclusions:

• Soybean MATE antisense transcripts are not exclusively negative regulators of their sense counterparts.
• This study uncovers novel MATE antisense transcripts and suggests potential synergistic roles with sense transcripts.
• Findings expand the understanding of transcriptional regulation mechanisms for MATE transporters in plants.