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BaRTv2: a highly resolved barley reference transcriptome for accurate transcript-specific RNA-seq quantification

  • Max Coulter
  • , Juan Carlos Entizne
  • , Wenbin Guo
  • , Micha Bayer
  • , Ronja Wonneberger
  • , Linda Milne
  • , Miriam Schreiber
  • , Allison Haaning
  • , Gary J. Muehlbauer
  • , Nicola McCallum
  • , John Fuller
  • , Craig Simpson
  • , Nils Stein
  • , John W. S. Brown
  • , Robbie Waugh
  • , Runxuan Zhang

Publikation: Bidrag till tidskriftArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

Accurate characterisation of splice junctions (SJs) as well as transcription start and end sites in reference transcriptomes allows precise quantification of transcripts from RNA-seq data, and enables detailed investigations of transcriptional and post-transcriptional regulation. Using novel computational methods and a combination of PacBio Iso-seq and Illumina short-read sequences from 20 diverse tissues and conditions, we generated a comprehensive and highly resolved barley reference transcript dataset from the European 2-row spring barley cultivar Barke (BaRTv2.18). Stringent and thorough filtering was carried out to maintain the quality and accuracy of the SJs and transcript start and end sites. BaRTv2.18 shows increased transcript diversity and completeness compared with an earlier version, BaRTv1.0. The accuracy of transcript level quantification, SJs and transcript start and end sites have been validated extensively using parallel technologies and analysis, including high-resolution reverse transcriptase-polymerase chain reaction and 5'-RACE. BaRTv2.18 contains 39 434 genes and 148 260 transcripts, representing the most comprehensive and resolved reference transcriptome in barley to date. It provides an important and high-quality resource for advanced transcriptomic analyses, including both transcriptional and post-transcriptional regulation, with exceptional resolution and precision.
OriginalspråkEngelska
Sidor (från-till)1183-1202
Antal sidor20
TidskriftPlant Journal
Volym111
Nummer4
DOI
StatusPublicerad - 2022
Externt publiceradJa

Nyckelord

  • barley
  • RNA-seq
  • Iso-seq
  • reference transcript datasets
  • transcriptomic analysis

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