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Title:LongPolyASE: an end-to-end framework for allele-specific gene and isoform analysis in polyploids using long-read RNA-seq
Authors:ID Nolte, Nadja Franziska (Author)
ID Gruden, Kristina (Author)
ID Petek, Marko (Author)
Files:URL URL - Source URL, visit https://doi.org/10.1186/s13007-026-01569-8
 
.pdf PDF - Presentation file, download (1,75 MB)
MD5: 61F5B1B6B5E2478249086500EF9A79EF
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
Abstract:Background Allele-specific expression analysis can reveal cis-regulatory differences (e.g., promoter variants, epigenetic changes) that cause imbalanced gene expression between haplotypes. Haplotype-resolved reference genomes and long-read RNA sequencing enable allele-specific expression analysis at gene and isoform-levels. However, existing tools are largely restricted to short-read RNA sequencing data and diploid organisms. Results We developed LongPolyASE, an end-to-end computational framework for allele-specific gene and isoform expression analysis in diploid and polyploid organisms using long-read RNA sequencing, consisting of three components: Syntelogfinder, for identifying syntenic gene relationships and annotation inconsistencies; longrnaseq, for novel isoform discovery and haplotype-level quantification; and PolyASE, for statistical testing and visualization of allelic imbalance and isoform usage. We applied LongPolyASE to diploid rice, autotetraploid potato, allotetraploid rapeseed, and allooctoploid strawberry using Oxford Nanopore and PacBio long-read RNA-seq. The framework enabled identification of cis-regulatory variation, tissue-specific trans-regulatory effects, differential isoform usage, and haplotype-specific splicing differences. In addition, it facilitated the discovery of novel transcripts and genes with potential functional relevance in plant development. Conclusions LongPolyASE addresses a key methodological gap by enabling allele-specific expression analysis in polyploid organisms using long-read RNA sequencing. By combining haplotype-aware quantification with isoform-level resolution in a reproducible workflow, the framework provides a practical tool for plant researchers working with complex genomes. Its application to crop species highlights its potential to support the identification of regulatory variation and candidate targets for plant breeding.
Keywords:allele-specific expression analysis, polyploids, long-read RNA-seq, isoform expression, gene expression
Publication status:In print
Publication version:Submitted Version
Publication date:21.07.2026
Year of publishing:2026
Number of pages:Str. 1-24
PID:20.500.12556/DiRROS-31455 New window
UDC:577.2
ISSN on article:1746-4811
DOI:10.1186/s13007-026-01569-8 New window
COBISS.SI-ID:267622659 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 3. 8. 2026;
Publication date in DiRROS:03.08.2026
Views:49
Downloads:34
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Record is a part of a journal

Title:Plant methods
Publisher:BioMed Central
ISSN:1746-4811
COBISS.SI-ID:23299289 New window

Document is financed by a project

Funder:EC - European Commission
Project number:101072892
Name:Long-TREC: The Long-Reads Transcriptomics European Consortium. The next generation transcriptome biology revealed by single molecule sequencing technologies
Acronym:LongTREC

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0463-2026
Name:Biotehnologija in sistemska biologija rastlin

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0431-2022
Name:Kmetijstvo naslednje generacije

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License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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