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A barley pan-transcriptome reveals layers of genotype-dependent transcriptional complexity

  • Wenbin Guo
  • , Miriam Schreiber
  • , Vanda Marosi
  • , Paolo Bagnaresi
  • , Morten E. Jørgensen
  • , Kenneth J. Chalmers
  • , Brett Chapman
  • , Viet Dang
  • , Christoph Dockter
  • , Anne Fiebig
  • , Geoffrey B. Fincher
  • , Agostino Fricano
  • , John Fuller
  • , Allison M. Haaning
  • , Georg Haberer
  • , Axel Himmelbach
  • , Murukarthick Jayakodi
  • , Yong Jia
  • , Nadia Kamal
  • , Peter Langridge
  • Chengdao Li, Qiongxian Lu, Thomas Lux, Martin Mascher, Klaus F. X. Mayer, Nicola McCallum, Linda Milne, Gary J. Muehlbauer, Sudharsan Padmarasu, Klaus Pillen, Pai Rosager Pedas, Curtis Pozniak, Kazuhiro Sato, Thomas Schmutzer, Uwe Scholz, Danuta Schüler, Hana Šimková, Birgitte Skadhauge, Nils Stein, Penghao Wang, Ronja Wonneberger, Xiao-Qi Zhang, Guoping Zhang, Katarzyna Birch Braune, Luigi Cattivelli, Manuel Spannagl, Micha Bayer (Lead / Corresponding author), Craig Simpson (Lead / Corresponding author), Runxuan Zhang (Lead / Corresponding author), Robbie Waugh (Lead / Corresponding author)

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Abstract

A pan-transcriptome describes the transcriptional and post-transcriptional consequences of genome diversity from multiple individuals within a species. We developed a barley pan-transcriptome using 20 inbred genotypes representing domesticated barley diversity by generating and analyzing short- and long-read RNA-sequencing datasets from multiple tissues. To overcome single reference bias in transcript quantification, we constructed genotype-specific reference transcript datasets (RTDs) and integrated these into a linear pan-genome framework to create a pan-RTD, allowing transcript categorization as core, shell or cloud. Focusing on the core (expressed in all genotypes), we observed significant transcript abundance variation among tissues and between genotypes driven partly by RNA processing, gene copy number, structural rearrangements and conservation of promotor motifs. Network analyses revealed conserved co-expression module::tissue correlations and frequent functional diversification. To complement the pan-transcriptome, we constructed a comprehensive cultivar (cv.) Morex gene-expression atlas and illustrate how these combined datasets can be used to guide biological inquiry.

Original languageEnglish
Pages (from-to)441-450
Number of pages10
JournalNature Genetics
Volume57
Issue number2
DOIs
Publication statusPublished - 3 Feb 2025

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