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Gigabase-Scale Transcriptome Analysis on Four Species of Pearl Oysters
[Huang, Xian-De; Zhao, Mi; Liu, Wen-Guang; Guan, Yun-Yan; Shi, Yu; Wang, Qi; Wu, Shan-Zeng; He, Mao-Xian] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Marine Bioresources Sustainable Utilizat, Guangzhou 510301, Guangdong, Peoples R China; hmx@scsio.ac.cn
2013
Source PublicationMARINE BIOTECHNOLOGY
ISSN1436-2228
Volume15Issue:3Pages:253-264
AbstractPearl oysters have been found to secrete nacre and form pearls with good quality and significant commercial interest. However, the transcriptomic and genomic resources for pearl oysters are still limited. To improve this situation, transcriptome sequencing was conducted from four species of pearl oysters with Illumina HiSeq (TM) 2000. There were four gigabase-scale transcriptomes for four species of pearl oysters, 26.3 million reads with 2.37 gigabase base pairs (Gbp) in Pinctada fucata, 26.5 million reads with 2.39 Gbp in Pinctada margaritifera, 27.0 million reads with 2.43 Gbp in Pinctada maxima, and 25.9 million reads with 2.33 Gbp in Pteria penguin, respectively. After sequence assembly and blastx alignment, the numbers of annotated unigenes a parts per thousand yen200 bp were 33,882 in P. fucata, 30,666 in P. margaritifera, 26,420 in P. maxima, and 29,928 in P. penguin. Based on these annotated unigenes among four species of pearl oysters, CDSs were extracted and predicted and furthermore, analyses of GO and KEGG assignments were performed. In addition, 60 putative genes of growth factors and their receptors from four species of pearl oysters were predicted. This study established an excellent resource for gene discovery and expression in pearl oysters, but also offered a significant platform for functional genomics and comparative genomic studies for mollusks.
DepartmentLMB
KeywordGigabase-scale Transcriptome Pearl Oyster Bivalve Growth Factors And Receptors
Subject AreaBiotechnology & Applied Microbiology ; Marine & Freshwater Biology
Funding OrganizationThis study was supported by the Joint Program of NSFC-Guangdong (U0831001), the National Natural Science Foundation of China (41176145), and the funds of knowledge innovation program of Chinese Academy of Sciences (ZCX2-EW-Q21) ; This study was supported by the Joint Program of NSFC-Guangdong (U0831001), the National Natural Science Foundation of China (41176145), and the funds of knowledge innovation program of Chinese Academy of Sciences (ZCX2-EW-Q21) ; This study was supported by the Joint Program of NSFC-Guangdong (U0831001), the National Natural Science Foundation of China (41176145), and the funds of knowledge innovation program of Chinese Academy of Sciences (ZCX2-EW-Q21) ; This study was supported by the Joint Program of NSFC-Guangdong (U0831001), the National Natural Science Foundation of China (41176145), and the funds of knowledge innovation program of Chinese Academy of Sciences (ZCX2-EW-Q21)
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Language英语
Funding OrganizationThis study was supported by the Joint Program of NSFC-Guangdong (U0831001), the National Natural Science Foundation of China (41176145), and the funds of knowledge innovation program of Chinese Academy of Sciences (ZCX2-EW-Q21) ; This study was supported by the Joint Program of NSFC-Guangdong (U0831001), the National Natural Science Foundation of China (41176145), and the funds of knowledge innovation program of Chinese Academy of Sciences (ZCX2-EW-Q21) ; This study was supported by the Joint Program of NSFC-Guangdong (U0831001), the National Natural Science Foundation of China (41176145), and the funds of knowledge innovation program of Chinese Academy of Sciences (ZCX2-EW-Q21) ; This study was supported by the Joint Program of NSFC-Guangdong (U0831001), the National Natural Science Foundation of China (41176145), and the funds of knowledge innovation program of Chinese Academy of Sciences (ZCX2-EW-Q21)
WOS IDWOS:000317845500001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/11025
Collection中科院海洋生物资源可持续利用重点实验室
Corresponding Authorhmx@scsio.ac.cn
Recommended Citation
GB/T 7714
[Huang, Xian-De,Zhao, Mi,Liu, Wen-Guang,et al. Gigabase-Scale Transcriptome Analysis on Four Species of Pearl Oysters[J]. MARINE BIOTECHNOLOGY,2013,15(3):253-264.
APA [Huang, Xian-De.,Zhao, Mi.,Liu, Wen-Guang.,Guan, Yun-Yan.,Shi, Yu.,...&hmx@scsio.ac.cn.(2013).Gigabase-Scale Transcriptome Analysis on Four Species of Pearl Oysters.MARINE BIOTECHNOLOGY,15(3),253-264.
MLA [Huang, Xian-De,et al."Gigabase-Scale Transcriptome Analysis on Four Species of Pearl Oysters".MARINE BIOTECHNOLOGY 15.3(2013):253-264.
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