Abstract
Larvae of the pest Protaetia brevitarsis are used to treat infections in traditional Chinese medicine. However, genomic information about this non-model species is currently lacking. To better understand the fundamental biology of this non-model species, its transcriptome was obtained using next generation sequencing and then analyzed. A total of 7.62 Gb of clean reads were obtained, which were assembled into 169,087 transcripts corresponding to 142,000 annotated unigenes. These unigenes were functionally classified according to Gene Ontology (GO), euKaryotic Ortholog Groups of proteins (KOG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations. A total of 41,921 unigenes were assigned to 56 GO terms, 21,454 unigenes were divided among 26 KOG categories, and 16,368 unigenes were assigned to 32 KEGG pathways. In addition, 19,144 simple sequence repeats (SSRs) were identified. Furthermore, several kinds of natural antimicrobial peptides and proteins, 4 histones with potential antimicrobial activity, and 41 potential antimicrobial peptide sequences were identified. These data are the first reported whole transcriptome sequence of P. brevitarsis larvae, which represents a valuable genomic resource for studying this species, thus promoting the utilization of its medical potential.
Highlights
The beetle species Protaetia brevitarsis Lewis is widely distributed in China, and it is a pest of plants, including vegetable crops
The clean reads were assembled into 169,087 transcripts, which corresponded to 142,000 unigenes
A summary of sequencing and assembly results was presented in Tables A and B in S1 File, and the unigene sequences was presented in S2 File
Summary
The beetle species Protaetia brevitarsis Lewis is widely distributed in China, and it is a pest of plants, including vegetable crops. There is no genomic data from this non-model organism. Transcriptome data represent an essential type of genome data and offer an opportunity to explore the genomes of non-model organisms. Owing to the rapid development of generation sequencing (NGS) technologies, such as the Illumina sequencing platform, the transcriptomes of non-model organisms can be characterized quickly, inexpensively, and accurately [1, 2]. The transcriptomes of many non-model organisms have been characterized by NGS, such as the green odorous frog Odorrana margaretae [3], the inland robust scorpion Urodacus yaschenkoi [4], the land snail Koreanohadra kurodana [2], the Chinese red-headed centipede Scolopendra subspinipes mutilans [5], and several luminescent beetle species [6]
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