Comparative transcriptome analysis of four co-occurring Ulva species for understanding the dominance of Ulva prolifera in the Yellow Sea green tides
The last 12 years has seen the dominance of Ulva prolifera in the green tides occurring in the Yellow Sea. To gain a better understanding of the underlying molecular clues associated with the dominance pattern of the Yellow Sea green tides, we generated and compared the transcriptomes of four co-occurring Ulva species including U. prolifera, U. linza, U. flexuosa, and U. compressa under the same conditions. Our results revealed that the transcriptomes of four Ulva species shared a set of core genes, but varied in construction of GO term categories, transcription factor (TF) styles, and metabolism pathways. Based on the KEGG database, several growth-related genes including pyruvate kinase (PK) and nitrate transporter (NRT) have been identified to be enriched in U. prolifera compared with the other three Ulva species. This study provides novel transcriptionomic data for us to understand the species dominance pattern in the Yellow Sea green tides.
KeywordsTranscriptome Ulva prolifera Chlorophyta Green tide Yellow Sea Bloom
This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA23050302, XDA23050403), the Scientific and Technological Innovation Project Financially Supported by Pilot National Laboratory for Marine Science and Technology (Qingdao) (No. 2016ASKJ02), the Key Research Program of Frontier Sciences, Chinese Academy of Sciences (No. QYZDB-SSW-DQC023), the National Natural Science Foundation of China (No. 41876165), the Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao) (No. 2018SDKJ0504), the Youth Innovation Promotion Association, Chinese Academy of Sciences (No. 2015164), the Open Research Fund of Key Laboratory of Integrated Marine Monitoring and Applied Technologies for Harmful Algal Blooms, S.O.A. (No. MATHAB201701), and the earmarked fund for Modern Agro-industry Technology Research System in Shandong Province of China (SDAIT-26-09).
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