Transcriptome sequencing and bioinformatics analysis of Tyrophagus putres-centiae / 中国血吸虫病防治杂志

ABSTRACT

ObjectiveTo obtain the transcriptome data of Tyrophagus putrescentiae, so as to provide insights into the subsequent functional studies. MethodsThe mixture of male and female T. putrescentiae was sequenced using the Illumina HiSeqTM 2000 high-throughput sequencing platform. Unigenes were obtained after assembling the sequencing data using the Trinity software and compared with the protein sequences in the RefSeq non-redundant protein sequence (NR) database, nucleotide sequence (NT) database, Swiss-Prot database, Kyoto encyclopedia of genes and genomes (KEGG) database and clusters of orthologous groups (COG) database, and the function of the Unigenes was annotated. In addition, the coding DNA sequences (CDS) were predicted through alignment of the Unigenes in NR and Swiss-Prot protein databases. The SSR loci were identified by analysis of the Unigenes in T. putrescentiae with the MISA software, and the SNPs were detected using the SOAPsnp technique. Results A total of 4.67 GB high-quality data were obtained from raw sequencing data. A total of 51 271 Unigenes were obtained after assembling the sequencing data, with a total length of 41 848 995 nucleotide (nt) and a mean length of 816 nt. A total of 29 053 annotated Unigenes were obtained following comparisons with the public protein databases, and 27 443 CDS were predicted. In addition, there were 23 092 SSR loci and 148 027 SNPs identified. Conclusions The database of T. putrescentiae transcriptome is created by sequencing, and a large number of T. putrescentiae transcripts are obtained, which provides a basis for the subsequent functional studies of allergy-related genes.