Arvind Kumar, Rajesh M K, Josephrajkumar A, Grace Tony
Central University of Kerala, Kasaragod, 671320, Kerala, India.
ICAR-Central Plantation Crops Research Institute, Kasaragod, 671124, Kerala, India.
Data Brief. 2019 Dec 20;28:105036. doi: 10.1016/j.dib.2019.105036. eCollection 2020 Feb.
The coconut rhinoceros beetle, L. (Insecta: Coleoptera: Scarabaeidae: Dynastinae is one of the world's most important endemic and incessant pests of coconut (particularly in India and Southeast Asia), causing an estimated 10% yield loss in the crop. Various management strategies formulated and implemented to control this pest include bioagents, insecticide sprays, liquid formulations, pheromone traps, and botanical formulations. Also, potential microbial bioagents and have been implemented as biological control agents and this has led to a beneficial reduction of the pest population unless significant immigration occurs. To date, research and development activities are still on-going for the successful management of the pest; yet advances in understanding at the molecular level have been limited because basic genomic information is lacking for this cosmopolitan pest. Transcriptome approach has been proved extremely useful in finding potential genes for pest control. Transcriptome analysis aids in gaining insights into the transcriptional changes which occur during different developmental stages of an organism. We have performed RNA sequencing of certain different developmental stages of ., early instar larva, late instar larva, pupa, and adult, in an Illumina HiSeq™ 2500 platform. Due to the unavailability of os genome, the RNA-seq data generated were assembled using Trinity and annotated following redundancy removal. A dataset of 87,451 transcripts, which resulted after redundancy removal, were annotated using the NCBI non-redundant (nr) protein and Uniprot databases. The data furnished could be used by others working in the development of pest management strategies, especially the identification of molecular targets for effective pest control. This information allows a better understanding of biology which would contribute to outlining a new generation of stage-specific, environmentally friendly pest management techniques.
椰心叶甲（学名：Brontispa longissima (Gestro) ，昆虫纲：鞘翅目：金龟子科：犀金龟亚科）是世界上最重要的地方性且持续性的椰子害虫之一（尤其在印度和东南亚地区），估计会导致该作物10%的产量损失。为控制这种害虫而制定和实施的各种管理策略包括生物制剂、杀虫剂喷雾、液体制剂、性诱捕器和植物制剂。此外，潜在的微生物生物制剂已被用作生物防治剂，这已使害虫数量得到了有益的减少，除非发生大量迁入。迄今为止，针对该害虫的成功管理，研发活动仍在进行；然而，由于缺乏这种世界性害虫的基础基因组信息，在分子水平上的认识进展有限。转录组方法已被证明在寻找害虫防治潜在基因方面极为有用。转录组分析有助于深入了解生物体不同发育阶段发生的转录变化。我们在Illumina HiSeq™ 2500平台上对椰心叶甲的某些不同发育阶段，即初龄幼虫、老龄幼虫、蛹和成虫，进行了RNA测序。由于没有椰心叶甲的基因组，所产生的RNA-seq数据使用Trinity进行组装，并在去除冗余后进行注释。去除冗余后得到的87451个转录本数据集，使用NCBI非冗余（nr）蛋白质和Uniprot数据库进行注释。提供的数据可供从事害虫管理策略开发的其他人使用，特别是用于识别有效害虫防治的分子靶点。这些信息有助于更好地了解椰心叶甲的生物学特性，这将有助于勾勒出新一代针对特定阶段、环境友好的害虫管理技术。
