Improved transcriptome assembly and functional annotation of Pleurodeles waltl for regeneration research

In this study, we present an updated transcriptome assembly for the Iberian ribbed newt, Pleurodeles waltl (P. waltl), a widely used model organism in regeneration research. The existing publicly available transcriptome for this species is limited by the inclusion of only three libraries from the limb and two from the heart, tissues of particular interest for regeneration studies. Additionally, the previous annotation was limited, reducing the utility of the dataset for further in-depth research. To provide a more complete transcriptome with a more comprehensive annotation, we utilized 58 previously published and 9 newly sequenced libraries, expanding the available transcriptomic data for key tissues, especially limb and heart tissues. Our assessment demonstrates that the new assembly offers a more comprehensive representation of reads and proteins compared to previous versions. Furthermore, we significantly improved the functional annotation by using the Trinotate pipeline, which includes the identification of complete ORFs, Pfam motifs, gene names, GO terms, and KEGG Orthology, facilitating more robust transcriptomic analyses. We also examined various stages of limb regeneration and development, gaining insights into the key signaling pathways involved. This work provides a valuable resource for researchers investigating the molecular mechanisms underlying P. waltl's regenerative abilities, enabling more detailed gene expression studies and broader biological insights.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-05-14
DOI
https://doi.org/10.1371/journal.pone.0323196
Primary Topic
Developmental Biology and Gene Regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved transcriptome assembly and functional annotation of Pleurodeles waltl for regeneration research

Akira Kinoshita, Tao‐Sheng Li, Md. Mahmudul Hasan, Mhd Yousuf Yassouf
PLoS ONE
Developmental Biology and Gene Regulation
article

Improved transcriptome assembly and functional annotation of Pleurodeles waltl for regeneration research

Akira Kinoshita, Tao‐Sheng Li, Md. Mahmudul Hasan, Mhd Yousuf Yassouf
article en

Abstract

In this study, we present an updated transcriptome assembly for the Iberian ribbed newt, Pleurodeles waltl (P. waltl), a widely used model organism in regeneration research. The existing publicly available transcriptome for this species is limited by the inclusion of only three libraries from the limb and two from the heart, tissues of particular interest for regeneration studies. Additionally, the previous annotation was limited, reducing the utility of the dataset for further in-depth research. To provide a more complete transcriptome with a more comprehensive annotation, we utilized 58 previously published and 9 newly sequenced libraries, expanding the available transcriptomic data for key tissues, especially limb and heart tissues. Our assessment demonstrates that the new assembly offers a more comprehensive representation of reads and proteins compared to previous versions. Furthermore, we significantly improved the functional annotation by using the Trinotate pipeline, which includes the identification of complete ORFs, Pfam motifs, gene names, GO terms, and KEGG Orthology, facilitating more robust transcriptomic analyses. We also examined various stages of limb regeneration and development, gaining insights into the key signaling pathways involved. This work provides a valuable resource for researchers investigating the molecular mechanisms underlying P. waltl's regenerative abilities, enabling more detailed gene expression studies and broader biological insights.

PLoS ONEVol. 20(5)
Nagasaki University (JP)
Openalex Percentile: Top 90%
Developmental Biology and Gene Regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.