a-bioinformatics-pipeline-to-accurately-efficiently-analyze-microrna

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

MicroRNAs (miRNAs) are 20- to 24-nucleotide (nt) endogenous small RNAs (sRNAs) extensively existing in plants and animals that play potent roles in ...

Beijing Academy of Agriculture and Forestry Sciences

The expression profile of a natural bi-directional promoter, derived from the Brassica napus EPSPS-A gene, was studied in transgenic soybean (Glycine max C.V. Maverick) lines. Two constructs, pDAB100331 and pDAB100333, were assembled to test the bi-directionality of the promoter. Two reporter genes, gfp and gusA, were employed and they were interchangeably placed in both constructs, one on each end of the promoter such that both proteins expressed divergently in each construct. In the T generation, GUS expression was more uniform throughout the leaf of pDAB100333 transgenic plants, where the gusA gene was expressed from the downstream or EPSPS-A end of the bi-directional promoter. Comparatively, GUS expression was more localized in the midrib and veins of the leaf of pDAB100331 transgenic plants, where the gusA gene was expressed from the upstream end of the bi-directional promoter. These observations indicated a unique expression pattern from each end of the promoter and consistently higher expression in genes expressed from the downstream end (e.g., EPSPS-A end) of the promoter in the tissues examined. The GFP expression pattern followed that of GUS when placed in the same position relative to the promoter. In the T generation, transcript analysis also showed higher expression of both gusA and gfp when those genes were located at the downstream end of the promoter. Accordingly, the pDAB100331 events exhibited a higher gfp/gusA transcript ratio, while pDAB100333 events produced a higher gusA/gfp transcript ratio consistent with the observations in T plants. These results demonstrated that the EPSPS-A gene bidirectional promoter can be effectively utilized to drive expression of two transgenes for the desired traits.

Expression of a novel bi-directional Brassica napus promoter in soybean.

The molecular basis of transgene susceptibility to silencing is poorly characterized in plants; thus, we evaluated several transgene design parameters as means to reduce heritable transgene silencing. Analyses of Arabidopsis plants with transgenes encoding a microalgal polyunsaturated fatty acid (PUFA) synthase revealed that small RNA (sRNA)-mediated silencing, combined with the use of repetitive regulatory elements, led to aggressive transposon-like silencing of canola-biased PUFA synthase transgenes. Diversifying regulatory sequences and using native microalgal coding sequences (CDSs) with higher GC content improved transgene expression and resulted in a remarkable trans-generational stability via reduced accumulation of sRNAs and DNA methylation. Further experiments in maize with transgenes individually expressing three crystal (Cry) proteins from Bacillus thuringiensis (Bt) tested the impact of CDS recoding using different codon bias tables. Transgenes with higher GC content exhibited increased transcript and protein accumulation. These results demonstrate that the sequence composition of transgene CDSs can directly impact silencing, providing design strategies for increasing transgene expression levels and reducing risks of heritable loss of transgene expression.

GC-rich coding sequences reduce transposon-like, small RNA-mediated transgene silencing.

Two major challenges arise when employing next-generation sequencing methods to comprehensively identify microRNAs (miRNAs) in plants: (i) how to minimize the false-positive inheritable to computational predictions and (ii) how to minimize the computational time required for analyzing the miRNA transcriptome in plants with complex and large genomes.

miRDeep-P2: accurate and fast analysis of the microRNA transcriptome in plants.

MicroRNAs (miRNAs) are small non-coding RNA molecules that function as diverse endogenous gene regulators at the post-transcriptional level. In the past two decades, as research effort on miRNA identification, function and evolution has soared, so has the demand for miRNA databases. However, the current plant miRNA databases suffer from several typical drawbacks, including a lack of entries for many important species, uneven annotation standards across different species, abundant questionable entries, and limited annotation. To address these issues, we developed a knowledge-based database called Plant miRNA Encyclopedia (PmiREN, http://www.pmiren.com/), which was based on uniform processing of sequenced small RNA libraries using miRDeep-P2, followed by manual curation using newly updated plant miRNA identification criteria, and comprehensive annotation. PmiREN currently contains 16,422 high confidence novel miRNA loci in 88 plant species and 3,966 retrieved from miRBase. For every miRNA entry, information on precursor sequence, precursor secondary structure, expression pattern, clusters and synteny in the genome, potential targets supported by Parallel Analysis of RNA Ends (PARE) sequencing, and references is attached whenever possible. PmiREN is hierarchically accessible and has eight built-in search engines. We believe PmiREN is useful for plant miRNA cataloguing and data mining, therefore a resource for data-driven miRNA research in plants.

Xiaozeng Yang

Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology,
Beijing Agro-Biotechnology Research Center,
Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center

Beijing Academy of Agriculture and Forestry Sciences

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

Xiaozeng Yang

Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology,Beijing Agro-Biotechnology Research Center,Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center

Beijing Academy of Agriculture and Forestry Sciences

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology,
Beijing Agro-Biotechnology Research Center,
Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center