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Transcriptome sequencing and characterization for Kappaphycus alvarezii.

Authors :
Zhang, Zhen
Pang, Tong
Li, Qianqian
Zhang, Litao
Li, Ling
Liu, Jianguo
Source :
European Journal of Phycology. Nov2015, Vol. 50 Issue 4, p400-407. 8p.
Publication Year :
2015

Abstract

The transcriptome ofKappaphycus alvareziiwas profiled using high-throughput Solexa paired-end sequencing technology. A total of 61 million sequencing reads was generated by filtering the low-quality reads, and 28 701 unigenes with a mean length of 901 bp were obtained based onde novoassembly. In similarity alignments against the NCBI non-redundant protein sequence (NR) database, Swissprot database, Cluster of Orthologous Groups (COG) database, Gene ontology (GO) database, and Kyoto Encyclopedia of Genes and Genomes (KEGG) database, 11 996 (41.79%) unigenes were identified with significant hits (E-value < 10−5) against existing genes. Functional annotation with the KEGG pathway database identified 8975 unigenes and mapped to 125 pathways. Through functional enrichment analysis of the genes with a higher expression value than the average RPKM (reads per kilobase per million reads), we found that some important pathways were highly expressed. The substantial number of transcript sequences ofK. alvareziiprovides a valuable resource for potential gene identification and comparative genomic studies. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
09670262
Volume :
50
Issue :
4
Database :
Academic Search Index
Journal :
European Journal of Phycology
Publication Type :
Academic Journal
Accession number :
110605379
Full Text :
https://doi.org/10.1080/09670262.2015.1069403