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A barley pan-transcriptome reveals layers of genotype-dependent transcriptional complexity
Journal article   Open access   Peer reviewed

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

Wenbin Guo, Miriam Schreiber, Vanda B Marosi, Paolo Bagnaresi, Morten Egevang Jørgensen, Katarzyna B Braune, Ken Chalmers, Brett Chapman, Viet Dang, Christoph Dockter, …
Nature genetics, Vol.57, pp.441-450
2025
PMID: 39901014
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Published10.31 MBDownloadView
CC BY V4.0 Open Access

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.

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UN Sustainable Development Goals (SDGs)

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#12 Responsible Consumption & Production
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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.54 Molecular & Cell Biology - Genetics
1.54.1543 Flow Cytometry
Web Of Science research areas
Genetics & Heredity
ESI research areas
Molecular Biology & Genetics
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