Hu, B., Liu, K., Du, F. et al. (11 more authors) (2025) Transcriptome profiling and co-expression network analysis of 96 Haematococcus pluvialis samples. Scientific Data, 12 (1). 1272. ISSN: 2052-4463
Abstract
Haematococcus pluvialis is a microalga known for producing the red carotenoid, astaxanthin. Key research areas to improve productivity include optimizing vegetative biomass, enhancing astaxanthin content, and controlling secondary cell wall formation. In this study, RNA-seq was conducted on 96 H. pluvialis samples under various treatments and time points, generating 96.7 GB of high-quality data (2,080,511,173 clean reads, quality score > 30). Gene expression was quantified as transcripts per million (TPM), and genes with similar expression patterns were clustered. A co-expression network, constructed with a soft threshold of β = 7 (R² > 0.9), identified 39 co-expression modules, each averaging 732 genes. Additionally, the re-annotation process provided functional descriptions for 8,598 previously uncharacterized genes. Gene functional classification analysis revealed their involvement in metabolic pathways related to genetic information processing and primary/secondary metabolite metabolism. This dataset provides a valuable resource for exploring the molecular mechanisms involved in critical processes such as growth regulation, astaxanthin accumulation, and secondary cell wall synthesis in H. pluvialis.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2025. This article is licensed under a Creative Commons Attribution-Non Commercial No Derivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
Keywords: | Bioinformatics; RNA sequencing |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Chemical, Materials and Biological Engineering |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Jul 2025 07:45 |
Last Modified: | 29 Jul 2025 07:45 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Refereed: | Yes |
Identification Number: | 10.1038/s41597-025-05533-4 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:229704 |