{"title":"卷叶虫的染色体尺度基因组组装。鳞翅目:皮蛾科。","authors":"Shu-Zhen Wang, Jun-Ran Zhao, Yu-Mei Dong, Wei Zhang, Yue Ying, Jin-Ping Shu, Jin-Ming Zhang, Peng-Jun Zhang","doi":"10.1038/s41597-025-05411-z","DOIUrl":null,"url":null,"abstract":"<p><p>The leaf roller, Eumorphobotys obscuralis, is a highly destructive pest that causes severe defoliation, ultimately reducing plant vigor, leading to culm death, and resulting in significant economic and ecological losses. Despite its substantial impact, effective prevention and control strategies remain lacking, further exacerbating the damage caused by this species. To address the critical gap in genomic resources, we generated a high-quality chromosome-scale genome assembly for E. obscuralis using a combination of Illumina short reads, PacBio HiFi long reads, and Hi-C chromatin interaction data. The final assembly spans 701.9 Mb across 31 chromosomes, including the single sex chromosome Z. Key assembly metrics include a contig N50 of 1.73 Mb and a scaffold N50 of 23.70 Mb, with an estimated genome completeness of 96.7%. Genome annotation identified 15,855 protein-coding genes and revealed that repetitive sequences account for 58.9% of the genome. This genomic resource lays a solid foundation for exploring the genetic mechanisms underlying the pest's biology and adaptation, and serves as a valuable reference for the development of targeted pest management strategies.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1070"},"PeriodicalIF":6.9000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12185679/pdf/","citationCount":"0","resultStr":"{\"title\":\"A chromosome-scale genome assembly of the leaf roller, Eumorphobotys obscuralis (Lepidoptera: Pyralidae).\",\"authors\":\"Shu-Zhen Wang, Jun-Ran Zhao, Yu-Mei Dong, Wei Zhang, Yue Ying, Jin-Ping Shu, Jin-Ming Zhang, Peng-Jun Zhang\",\"doi\":\"10.1038/s41597-025-05411-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The leaf roller, Eumorphobotys obscuralis, is a highly destructive pest that causes severe defoliation, ultimately reducing plant vigor, leading to culm death, and resulting in significant economic and ecological losses. Despite its substantial impact, effective prevention and control strategies remain lacking, further exacerbating the damage caused by this species. To address the critical gap in genomic resources, we generated a high-quality chromosome-scale genome assembly for E. obscuralis using a combination of Illumina short reads, PacBio HiFi long reads, and Hi-C chromatin interaction data. The final assembly spans 701.9 Mb across 31 chromosomes, including the single sex chromosome Z. Key assembly metrics include a contig N50 of 1.73 Mb and a scaffold N50 of 23.70 Mb, with an estimated genome completeness of 96.7%. Genome annotation identified 15,855 protein-coding genes and revealed that repetitive sequences account for 58.9% of the genome. This genomic resource lays a solid foundation for exploring the genetic mechanisms underlying the pest's biology and adaptation, and serves as a valuable reference for the development of targeted pest management strategies.</p>\",\"PeriodicalId\":21597,\"journal\":{\"name\":\"Scientific Data\",\"volume\":\"12 1\",\"pages\":\"1070\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12185679/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Data\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41597-025-05411-z\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-05411-z","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
A chromosome-scale genome assembly of the leaf roller, Eumorphobotys obscuralis (Lepidoptera: Pyralidae).
The leaf roller, Eumorphobotys obscuralis, is a highly destructive pest that causes severe defoliation, ultimately reducing plant vigor, leading to culm death, and resulting in significant economic and ecological losses. Despite its substantial impact, effective prevention and control strategies remain lacking, further exacerbating the damage caused by this species. To address the critical gap in genomic resources, we generated a high-quality chromosome-scale genome assembly for E. obscuralis using a combination of Illumina short reads, PacBio HiFi long reads, and Hi-C chromatin interaction data. The final assembly spans 701.9 Mb across 31 chromosomes, including the single sex chromosome Z. Key assembly metrics include a contig N50 of 1.73 Mb and a scaffold N50 of 23.70 Mb, with an estimated genome completeness of 96.7%. Genome annotation identified 15,855 protein-coding genes and revealed that repetitive sequences account for 58.9% of the genome. This genomic resource lays a solid foundation for exploring the genetic mechanisms underlying the pest's biology and adaptation, and serves as a valuable reference for the development of targeted pest management strategies.
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.