Unveiling axolotl transcriptome for tissue regeneration with high-resolution annotation via long-read sequencing

Axolotls are known for their remarkable regeneration ability. Exploring their transcriptome provides insight into regenerative mechanisms. However, the current annotation of the axolotl transcriptome is limited, leaving the role of unannotated transcripts in regeneration unknown. To discourse this challenge, we exploited long-read sequencing technology, which enables direct observation of full-length RNA transcripts, greatly enhancing the coverage and accuracy of axolotl transcriptome annotation. By utilizing this method, we identified 222 novel gene loci and 4775 novel transcripts, which were quantified using short-read sequencing data. Through the inclusive analysis, we discovered novel homologs, potential functional proteins, noncoding RNAs, and alternative splicing events in key regeneration pathways. In particular, we identified novel transcripts with high protein-coding potential implicated in cell cycle regulation and musculoskeletal development, and regeneration were identified. Interestingly, alternative splice variants were also detected across diverse pathways critical to regeneration. This specifies that these novel transcripts potentially play vital roles underpinning the robust regenerative capacities of axolotls. Single-cell transcriptomic analysis further revealed these isoforms to predominantly exist in axolotl limb chondrocytes and mature tissue cell populations. Overall, the findings significantly advanced consideration of the axolotl transcriptome and provided a new perspective for understanding the mechanisms of regenerative abilities of axolotls.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2024-08-23
DOI
https://doi.org/10.1016/j.csbj.2024.08.014
Citations
3
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.70

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article

Unveiling axolotl transcriptome for tissue regeneration with high-resolution annotation via long-read sequencing

Tian Qin, Tingzhang Wang, Zi Yin, Xiao Chen et al.
3 citations
Computational and Structural Biotechnology Journal
RNA modifications and cancer
0.70
article

Unveiling axolotl transcriptome for tissue regeneration with high-resolution annotation via long-read sequencing

Tian Qin, Tingzhang Wang, Zi Yin, Xiao Chen, Jie Han, Heng Sun, Chunmei Fan, Naveed Rauf
article en
3 citations

Abstract

Axolotls are known for their remarkable regeneration ability. Exploring their transcriptome provides insight into regenerative mechanisms. However, the current annotation of the axolotl transcriptome is limited, leaving the role of unannotated transcripts in regeneration unknown. To discourse this challenge, we exploited long-read sequencing technology, which enables direct observation of full-length RNA transcripts, greatly enhancing the coverage and accuracy of axolotl transcriptome annotation. By utilizing this method, we identified 222 novel gene loci and 4775 novel transcripts, which were quantified using short-read sequencing data. Through the inclusive analysis, we discovered novel homologs, potential functional proteins, noncoding RNAs, and alternative splicing events in key regeneration pathways. In particular, we identified novel transcripts with high protein-coding potential implicated in cell cycle regulation and musculoskeletal development, and regeneration were identified. Interestingly, alternative splice variants were also detected across diverse pathways critical to regeneration. This specifies that these novel transcripts potentially play vital roles underpinning the robust regenerative capacities of axolotls. Single-cell transcriptomic analysis further revealed these isoforms to predominantly exist in axolotl limb chondrocytes and mature tissue cell populations. Overall, the findings significantly advanced consideration of the axolotl transcriptome and provided a new perspective for understanding the mechanisms of regenerative abilities of axolotls.

Computational and Structural Biotechnology JournalVol. 23
Sir Run Run Shaw Hospital (CN), Soochow University (CN), Second Affiliated Hospital of Zhejiang University (CN), Hangzhou City University, Zhejiang University (CN)
National Natural Science Foundation of China, Key Technologies Research and Development Program, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Zero hunger
Openalex Percentile: Top 30%
RNA modifications and cancer
0.70
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