Diploid chromosome-level genome assembly and annotation for Lycorma delicatula.

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Anthony A Snead, Fang Meng, Nicolas Largotta, Kristin M Winchell, Brenna A Levine
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引用次数: 0

Abstract

The spotted lanternfly (Lycorma delicatula) is a planthopper species (Hemiptera: Fulgoridae) native to China but invasive in South Korea, Japan, and the United States where it is a significant threat to agriculture. Genomic resources are critical to both management of this species and understanding the genomic characteristics of successful invaders. We report an annotated, haplotype-phased, chromosome-level genome assembly for the spotted lanternfly using PacBio long-read sequencing, Hi-C technology, and RNA-seq. The 2.2 Gbp genome comprises 13 chromosomes, and whole genome resequencing of eighty-two adults indicated chromosome four as the sex chromosome and a corresponding XO sex-determination system. We identified over 12,000 protein-coding genes and performed functional annotation, facilitating the identification of candidate genes that may hold importance for spotted lanternfly control. The assemblies and annotations were highly complete with over 96% of BUSCO genes complete regardless of the database (i.e., Eukaryota, Arthropoda, Insecta). This reference-quality genome will serve as an important resource for development and optimization of management practices for the spotted lanternfly and invasive species genomics as a whole.

Lycorma delicatula 的二倍体染色体级基因组组装和注释。
斑点灯笼蝇(Lycorma delicatula)是一种原产于中国的飞虱(半翅目:飞虱科),但在韩国、日本和美国都有入侵,对农业构成重大威胁。基因组资源对该物种的管理和了解成功入侵者的基因组特征至关重要。我们使用PacBio长读测序、Hi-C技术和RNA-seq技术报道了斑点灯笼蝇的带注释、单倍型分期、染色体水平的基因组组装。2.2 Gbp的基因组包括13条染色体,对82例成人的全基因组重测序表明,第4号染色体为性染色体,并有相应的XO性别决定系统。我们鉴定了超过12000个蛋白质编码基因,并进行了功能注释,促进了可能对斑灯蝇控制有重要意义的候选基因的鉴定。装配和注释高度完整,96%以上的BUSCO基因完整,无论数据库如何(即真核生物、节肢动物、昆虫)。该基因组将为斑点灯笼蝇和入侵物种基因组学的开发和管理实践的优化提供重要的参考资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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