PcarnBase: Development of a Transcriptomic Database for the Brain Coral Platygyra carnosus

Jin Sun, Qian Chen, Janice C.Y. Lun, Jianliang XU*, Jianwen QIU

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

37 Citations (Scopus)


The aims of this study were to sequence the transcriptome and organize the sequence data into a searchable database for the brain coral Platygyra carnosus, a structure-forming dominant species along the coast of southern China. We collected healthy and tumorous coral tissues from two locations, extracted RNA from each tissue sample, pooled the RNA from all tissue samples, generated a cDNA library from the pooled samples, and conducted paired-end sequencing of the cDNA library using the Illumina platform to produce 59. 6 M clean sequences with a read length of 90 bp. De novo assembly of the sequence data resulted in 162,468 unigenes with an average length of 606 bp (range, 201 to 23,923 bp). This is the largest transcriptome dataset for a species of coral whose genome has not been sequenced. A BLASTx search against the NCBI protein database showed that 55,355 of the unigenes matched at least a sequence with an E-value of < 0. 00001; 59 % of the matched sequences are from Metazoa, 13 % are from Alveolata to which the symbiont Symbiodinium belongs, and 7 % are from bacteria. A database (PcarnBase) was constructed to provide easy access to the unigenes with attributes such as NCBI protein annotation, GO annotation, and KEGG pathway. It will facilitate functional genomic studies of P. carnosus, such as biomarker discovery for bleaching, tumor formation, and disease development at the gene or protein level, involvement of coral symbiotic algae in the host coral's stress responses, and genetic basis of stress resistance.

Original languageEnglish
Pages (from-to)244-251
Number of pages8
JournalMarine Biotechnology
Issue number2
Publication statusPublished - Apr 2013

Scopus Subject Areas

  • Biotechnology
  • Aquatic Science

User-Defined Keywords

  • Coral
  • Database
  • Next-generation sequencing
  • Platygyra
  • Transcriptome


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