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Considerations and complications of mapping small RNA high-throughput data to transposable elements
Alexandros Bousios1, Brandon S Gaut2, Nikos Darzentas3
1School of Life Sciences, University of Sussex, Brighton, East Sussex BN1 9RH UK.
Mobile DNA
|February 24, 2017
Summary
High-throughput sequencing (HTS) analysis of small RNAs (sRNAs) in complex genomes like maize requires careful methodological choices. Our study provides key insights for optimizing epigenetic research involving transposable elements (TEs).
Area of Science:
- Epigenetics
- Genomics
- Bioinformatics
Background:
- High-throughput sequencing (HTS) has transformed epigenetic research by enabling large-scale small RNA (sRNA) mapping.
- Analyzing sRNAs in repetitive genomic regions, such as transposable elements (TEs), and in large plant genomes presents significant experimental design challenges.
- Understanding epigenetic mechanisms in TEs is crucial, yet complicated by the repetitive nature of these elements.
Purpose of the Study:
- To investigate the complexities of mapping sRNAs to transposable elements (TEs) within the large maize genome.
- To scrutinize common methodological strategies used in high-throughput sequencing studies of TEs.
- To provide guidance for experimental design and data interpretation in epigenetic research involving TEs.
Main Methods:
- Focused on the 2,300 Mb maize genome, where transposable elements (TEs) constitute 85% of the sequence.
- Evaluated the impact of choices in reference dataset selection, normalization of multiply mapping sRNAs, and sRNA metric selection.
- Contrasted the effects of these methodological choices on low copy genomic regions and other common HTS data types.
Main Results:
- Demonstrated how different methodological choices influence the observed relationship between sRNAs and transposable element (TE) age.
- Highlighted significant variations in sRNA mapping results based on the selected bioinformatics strategies.
- Provided comparative analysis of HTS data across different genomic contexts (TEs vs. low copy regions).
Conclusions:
- Offers practical recommendations for designing, implementing, and interpreting high-throughput sequencing studies focused on transposable element (TE) epigenetics.
- The findings are applicable to a broad range of high-throughput sequencing data analyses, not limited to TEs.
- Emphasizes the critical importance of careful methodological selection for accurate epigenetic profiling.
Keywords:
AnnotationBioinformaticsGenome mappingHigh-throughput sequencingRNA-seqSmall RNAsTransposable elementssiRNAsMore Related Videos
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