ArticlePloS one2018
Transcriptome analysis of the typical freshwater rhodophytes Sheathia arcuata grown under different light intensities.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Transcriptomic analysis of Virescentia guangxiensis (Rhodophyta: Batrachospermales) revealed differential expression of genes in gametophyte and chantransia life phases.BMC genomics · 2025Article
- Comparative transcriptome analysis reveals the key role of photosynthetic traits in the formation of differences in photothermal sensitivity in tobacco.BMC genomics · 2025Article
- Fine-tuning RNA extraction protocols for polysaccharide-rich freshwater red algae (Rhodophyta).microPublication biology · 2024Article
- Comparative Transcriptome Analysis Revealing the Potential Mechanism of Low-Temperature Stress inFrontiers in plant science · 2022Article
- Advanced bioinformatic analysis and pathway prediction of NSCLC cells upon cisplatin resistance.Scientific reports · 2021Article
- Molecular Mechanism of Lipid Accumulation and Metabolism of OleaginousInternational journal of molecular sciences · 2021Article
- Relative expression analysis of light-harvesting genes in the freshwater alga Lympha mucosa (Batrachospermales, Rhodophyta).Journal of phycology · 2020Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Rhodophyta Sheathia arcuata is exclusively distributed in freshwater, constituting an important component in freshwater flora. This study presents the first transcriptome profiling of freshwater Rhodophyta taxa. A total of 161,483 assembled transcripts were identified, annotated and classified into different biological categories and pathways based on BLAST against diverse databases. Different gene expression patterns were caused principally by different irradiances considering the similar water conditions of the sampling site when the specimens were collected. Comparison results of gene expression levels under different irradiances revealed that photosynthesis-related pathways significantly up-regulated under the weak light. Molecular responses for improved photosynthetic activity include the transcripts corresponding to antenna proteins (LHCA1 and LHCA4), photosynthetic apparatus proteins (PSBU, PETB, PETC, PETH and beta and gamma subunits of ATPase) and metabolic enzymes in the carbon fixation. Along with photosynthesis, other metabolic activities were also regulated to optimize the growing and development of S. arcuata under appropriate sunlight. Protein-protein interactive networks revealed the most responsive up-expressed transcripts were ribosomal proteins. The de-novo transcriptome assembly of S. arcuata provides a foundation for further investigation on the molecular mechanism of photosynthesis and environmental adaption for freshwater Rhodophyta.
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