TY - DATA T1 - Supporting data for "Genome sequence of the small brown planthopper Laodelphax striatellus" AU - Feng, Jiang AU - Feng, Cui AU - Hong, Lu AU - Jing, Li AU - Jinting, Yu AU - Junjie, Zhu AU - Lan, Luo AU - Le, Kang AU - Na, Cui AU - Pengcheng, Yang AU - Qianshuo, Wang AU - Wan, Zhao AU - Wei, Wang AU - Xianhui, Wang AU - Xiaofang, Chen AU - Yanyuan, Bao DO - 10.5524/100361 UR - http://gigadb.org/dataset/100361 AB - Laodelphax striatellus Fallén (Hemiptera: Delphacidae) is one of the most destructive rice pests. L. striatellus is different from another two genome-released rice planthoppers, Sogatella furcifera and Nilaparvata lugens, in many biological characteristics, such as host range, dispersal capacity, and vectoring plant viruses. Deciphering the genome of L. striatellus will help understand the genetic basis of the biological differences among the three rice planthoppers.
193 Gb Illumina data and 32.4 Gb Pacbio data were generated and used to assemble a high quality L. striatellus genome sequence, which is 541 Mb in length and has a contig N50 of 118 Kb and a scaffold N50 of 1.08 Mb. Annotated repetitive elements account for 25.7% of the genome. 17736 protein-coding genes were annotated, capturing 97.6% and 98% of BUSCO eukaryote and arthropoda genes, respectively. Compared to N. lugens and S. furcifera, L. striatellus has the smallest genome and the least gene number. Gene family expansion and transcriptomic analyses provided hints to the genomic basis of the differences in important traits such as host range, migratory habit and plant virus transmission between L. striatellus and the other two planthoppers.
We reported a high quality genome assembly of L. striatellus, which is an important genomic resource not only for the study of the biology of L. striatellus and its interactions with plant hosts and plant viruses, but also for the comparisons to other planthoppers. KW - Genomic KW - Transcriptomic KW - comparative genomics KW - insects KW - genome sequencing KW - annotation KW - virus transmission PY - 2017 PB - GigaScience Database LA - en ER -