Dataset Information

Analysis of promoters of microRNAs from a Glycine max degradome library.

ABSTRACT:

Objective

MicroRNAs (miRNAs) are genome-encoded, small non-coding RNAs that play important functions in development, biotic and abiotic stress responses, and other processes. Our aim was to explore the regulation of miRNA expression.

Methods

We used bioinformatics methods to predict the core promoters of 440 miRNAs identified from a soybean (Glycine max) degradome library and to analyze cis-acting elements for 369 miRNAs.

Results

The prediction results showed that 83.86% of the 440 miRNAs contained promoters in their upstream sequences, and 8.64% (38 loci) in their downstream sequences. The distributions of two core promoter elements, TATA-boxes and transcription start sites (TSSs), were similar. The cis-acting elements were examined to provide clues to the function and regulation of spatiotemporal expression of the miRNAs. Analyses of miRNA cis-elements and targets indicated a potential auxin response factor (ARF)- and gibberellin response factor (GARF)-mediated negative feedback loop for miRNA expression.

Conclusions

The features of miRNAs from a Glycine max degradome library obtained here provide insights into the transcription regulation and functions of miRNAs in soybean.

SUBMITTER: Han YQ

PROVIDER: S-EPMC3924388 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature

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Publications

Analysis of promoters of microRNAs from a Glycine max degradome library.

Han Yi-qiang YQ Hu Zheng Z Zheng Dian-feng DF Gao Ya-mei YM

Journal of Zhejiang University. Science. B 20140201 2

<h4>Objective</h4>MicroRNAs (miRNAs) are genome-encoded, small non-coding RNAs that play important functions in development, biotic and abiotic stress responses, and other processes. Our aim was to explore the regulation of miRNA expression.<h4>Methods</h4>We used bioinformatics methods to predict the core promoters of 440 miRNAs identified from a soybean (Glycine max) degradome library and to analyze cis-acting elements for 369 miRNAs.<h4>Results</h4>The prediction results showed that 83.86% of ...[more]

PMID: 24510705

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Project description:BackgroundAlthough numerous factors can influence gene expression, promoters are perhaps the most important component of the regulatory control process. Promoter regions are often defined as a region upstream of the transcriptional start. They contain regulatory elements that interact with regulatory proteins to modulate gene expression. Most genes possess their own unique promoter and large numbers of promoters are therefore available for study. Unfortunately, relatively few promoters have been isolated and characterized; particularly from soybean (Glycine max).ResultsIn this research, a bioinformatics approach was first performed to identify members of the Gmubi (G.max ubiquitin) and the GmERF (G. max Ethylene Response Factor) gene families of soybean. Ten Gmubi and ten GmERF promoters from selected genes were cloned upstream of the gfp gene and successfully characterized using rapid validation tools developed for both transient and stable expression. Quantification of promoter strength using transient expression in lima bean (Phaseolus lunatus) cotyledonary tissue and stable expression in soybean hairy roots showed that the intensity of gfp gene expression was mostly conserved across the two expression systems. Seven of the ten Gmubi promoters yielded from 2- to 7-fold higher expression than a standard CaMV35S promoter while four of the ten GmERF promoters showed from 1.5- to 2.2-times higher GFP levels compared to the CaMV35S promoter. Quantification of GFP expression in stably-transformed hairy roots of soybean was variable among roots derived from different transformation events but consistent among secondary roots, derived from the same primary transformation events. Molecular analysis of hairy root events revealed a direct relationship between copy number and expression intensity; higher copy number events displayed higher GFP expression.ConclusionIn this study, we present expression intensity data on 20 novel soybean promoters from two different gene families, ubiquitin and ERF. We also demonstrate the utility of lima bean cotyledons and soybean hairy roots for rapid promoter analyses and provide novel insights towards the utilization of these expression systems. The soybean promoters characterized here will be useful for production of transgenic soybean plants for both basic research and commercial plant improvement.

Dataset Information

Analysis of promoters of microRNAs from a Glycine max degradome library.

Objective

Methods

Results

Conclusions

Publications

Analysis of promoters of microRNAs from a Glycine max degradome library.

Similar Datasets

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