Journal
JOURNAL OF APPLIED PHYCOLOGY
Volume 31, Issue 5, Pages 3303-3316Publisher
SPRINGER
DOI: 10.1007/s10811-019-01810-z
Keywords
Transcriptome; Ulva prolifera; Chlorophyta; Green tide; Yellow Sea; Bloom
Funding
- Strategic Priority Research Program of the Chinese Academy of Sciences [XDA23050302, XDA23050403]
- Scientific and Technological Innovation Project - Pilot National Laboratory for Marine Science and Technology (Qingdao) [2016ASKJ02]
- Key Research Program of Frontier Sciences, Chinese Academy of Sciences [QYZDB-SSW-DQC023]
- National Natural Science Foundation of China [41876165]
- Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao) [2018SDKJ0504]
- Youth Innovation Promotion Association, Chinese Academy of Sciences [2015164]
- Open Research Fund of Key Laboratory of Integrated Marine Monitoring and Applied Technologies for Harmful Algal Blooms, S.O.A. [MATHAB201701]
- earmarked fund for Modern Agro-industry Technology Research System in Shandong Province of China [SDAIT-26-09]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available