Related Experiment Video
Updated: May 20, 2026
06:34
A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
Published on: January 21, 2020
Metatranscriptomic analysis of small RNAs present in soybean deep sequencing libraries
Lorrayne Gomes Molina1, Guilherme Cordenonsi da Fonseca, Guilherme Loss de Morais
1Centro de Biotecnologia e PPGBCM, Laboratório de Genomas e Populações de Plantas, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Genetics and Molecular Biology
|July 18, 2012
Summary
Deep sequencing revealed numerous small RNAs unrelated to the soybean genome. Metatranscriptomic analysis identified these as originating from various pathogenic, symbiotic, and free-living organisms, impacting soybean health and crop production.
Area of Science:
- Plant biology
- Microbiology
- Genomics
Background:
- Deep sequencing of soybean small RNA libraries identified numerous small RNAs not originating from the soybean genome.
- This suggested the presence of external biological agents influencing the soybean plant.
Purpose of the Study:
- To identify the origin of these extraneous small RNAs using metatranscriptomic analysis.
- To compare small interfering RNA (siRNA) profiles in field-grown and greenhouse-grown soybeans.
- To identify microorganisms associated with soybean plants and understand their potential impact on plant health and crop yield.
Main Methods:
- Deep sequencing of small RNA libraries from soybean plants.
- Metatranscriptomic analysis to determine the source of identified small RNAs.
- Comparative analysis of siRNAs from field and greenhouse environments.
Main Results:
- A significant number of small RNAs unrelated to the soybean genome were detected.
- Identified organisms included viruses, bacteria, and fungi, encompassing pathogenic, symbiotic, and free-living types.
- Microorganisms were found in both open field and controlled greenhouse cultivation systems.
Conclusions:
- Metatranscriptomic analysis is effective in identifying unknown pathogens and pests affecting soybean crops.
- This approach aids in understanding the complex relationships between soybean plants and associated microorganisms.
- Understanding these microbial interactions is crucial for improving soybean plant health and crop production.
Related Concept Videos
03:21RNA-seq
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
02:24Ribosome Profiling
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...