A poly(A)-independent PacBio strategy for organellar transcriptome profiling

Xiaolin Gu; Jie Wang; Liyun Nie; Shuo Zhang; Yi Zou; Zhiqiang Wu

doi:10.1093/plphys/kiag596

August 11, 2026PLANT PHYSIOLOGYOpen Access

A poly(A)-independent PacBio strategy for organellar transcriptome profiling

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Key Points

To develop a poly(A)-independent PacBio long-read sequencing strategy capable of accurately profiling organellar transcriptomes lacking conventional polyadenylated tails.
Designed a specialized long-read library construction approach independent of poly(A) selection.
Performed PacBio single-molecule real-time sequencing to capture full-length transcripts from plant organellar genomes.
Directly captures full-length organellar RNA sequences without requiring standard polyadenylation.
Facilitates the identification of complex transcriptional architectures, processing patterns, and transcript boundaries in organelle genomes.

Implication

Methodological study demonstrates a poly(A)-independent PacBio sequencing framework in plant organellar systems, suggesting improved resolution for non-adenylated RNA transcripts.

Abstract

Xiaolin Gu, Jie Wang, Liyun Nie, Shuo Zhang, Yi Zou, Zhiqiang Wu; A poly(A)-independent PacBio strategy for organellar transcriptome profiling, Plant Physi

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Cite This Study

Gu et al. (2026) studied this question.

synapsesocial.com/papers/6a7ec746b70b84ec8b91385d https://doi.org/10.1093/plphys/kiag596

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A poly(A)-independent PacBio strategy for organellar transcriptome profiling

Key Points

Implication

Abstract

Discussion

Cite This Study

A poly(A)-independent PacBio strategy for organellar transcriptome profiling

Key Points

Implication

Abstract

Discussion

Cite This Study

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