IOCAS-IR  > 海洋生态与环境科学重点实验室
Comparative transcriptome analysis of four co-occurring Ulva species for understanding the dominance of Ulva prolifera in the Yellow Sea green tides
Wang, Yu1,2; Liu, Feng2,3,4; Liu, Xingfeng1,2; Shi, Shitao1,2; Bi, Yuping1,5; Moejes, Fiona Wanjiku6
2019-10-01
Source PublicationJOURNAL OF APPLIED PHYCOLOGY
ISSN0921-8971
Volume31Issue:5Pages:3303-3316
Corresponding AuthorLiu, Feng(liufeng@qdio.ac.cn) ; Bi, Yuping(yupingbi@vip.sina.com)
AbstractThe 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.
KeywordTranscriptome Ulva prolifera Chlorophyta Green tide Yellow Sea Bloom
DOI10.1007/s10811-019-01810-z
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of the Chinese Academy of Sciences[XDA23050302] ; Strategic Priority Research Program of the Chinese Academy of Sciences[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]
WOS Research AreaBiotechnology & Applied Microbiology ; Marine & Freshwater Biology
WOS SubjectBiotechnology & Applied Microbiology ; Marine & Freshwater Biology
WOS IDWOS:000493895800048
PublisherSPRINGER
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/165038
Collection海洋生态与环境科学重点实验室
Corresponding AuthorLiu, Feng; Bi, Yuping
Affiliation1.Shandong Univ, Sch Life Sci, Jinan 250100, Shandong, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Shandong, Peoples R China
3.Pilot Natl Lab Marine Sci & Technol Qingdao, Marine Ecol & Environm Sci Lab, Qingdao 266237, Shandong, Peoples R China
4.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266400, Shandong, Peoples R China
5.Shandong Acad Agr Sci, Biotechnol Res Ctr, Jinan 250100, Shandong, Peoples R China
6.Bantry Marine Res Stn Ltd, Bantry P75 AX07, Cork, Ireland
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences;  Center for Ocean Mega-Science, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Yu,Liu, Feng,Liu, Xingfeng,et al. Comparative transcriptome analysis of four co-occurring Ulva species for understanding the dominance of Ulva prolifera in the Yellow Sea green tides[J]. JOURNAL OF APPLIED PHYCOLOGY,2019,31(5):3303-3316.
APA Wang, Yu,Liu, Feng,Liu, Xingfeng,Shi, Shitao,Bi, Yuping,&Moejes, Fiona Wanjiku.(2019).Comparative transcriptome analysis of four co-occurring Ulva species for understanding the dominance of Ulva prolifera in the Yellow Sea green tides.JOURNAL OF APPLIED PHYCOLOGY,31(5),3303-3316.
MLA Wang, Yu,et al."Comparative transcriptome analysis of four co-occurring Ulva species for understanding the dominance of Ulva prolifera in the Yellow Sea green tides".JOURNAL OF APPLIED PHYCOLOGY 31.5(2019):3303-3316.
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