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The value of genotype-specific reference for transcriptome analyses in barley.

Wenbin GuoMax CoulterRobbie WaughRunxuan Zhang
Published in: Life science alliance (2022)
It is increasingly apparent that although different genotypes within a species share "core" genes, they also contain variable numbers of "specific" genes and different structures of "core" genes that are only present in a subset of individuals. Using a common reference genome may thus lead to a loss of genotype-specific information in the assembled Reference Transcript Dataset (RTD) and the generation of erroneous, incomplete or misleading transcriptomics analysis results. In this study, we assembled genotype-specific RTD (sRTD) and common reference-based RTD (cRTD) from RNA-seq data of cultivated Barke and Morex barley, respectively. Our quantitative evaluation showed that the sRTD has a significantly higher diversity of transcripts and alternative splicing events, whereas the cRTD missed 40% of transcripts present in the sRTD and it only has ∼70% accurate transcript assemblies. We found that the sRTD is more accurate for transcript quantification as well as differential expression analysis. However, gene-level quantification is less affected, which may be a reasonable compromise when a high-quality genotype-specific reference is not available.
Keyphrases
  • rna seq
  • single cell
  • genome wide
  • genome wide identification
  • high resolution
  • computed tomography
  • machine learning
  • magnetic resonance
  • electronic health record
  • artificial intelligence