A chromosome-level genome assembly of the orange wheat blossom midge, Sitodiplosis mosellana Géhin (Diptera: Cecidomyiidae) provides insights into the evolution of a detoxification system.

IF 2.2
Zhongjun Gong, Tong Li, Jin Miao, Yun Duan, Yueli Jiang, Huiling Li, Pei Guo, Xueqin Wang, Jing Zhang, Yuqing Wu
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Abstract

The orange wheat blossom midge Sitodiplosis mosellana Géhin (Diptera: Cecidomyiidae), an economically important pest, has caused serious yield losses in most wheat-growing areas worldwide in the past half-century. A high-quality chromosome-level genome for S. mosellana was assembled using PacBio long read, Illumina short read, and Hi-C sequencing technologies. The final genome assembly was 180.69 Mb, with contig and scaffold N50 sizes of 998.71 kb and 44.56 Mb, respectively. Hi-C scaffolding reliably anchored 4 pseudochromosomes, accounting for 99.67% of the assembled genome. In total, 12,269 protein-coding genes were predicted, of which 91% were functionally annotated. Phylogenetic analysis indicated that S. mosellana and its close relative, the swede midge Contarinia nasturtii, diverged about 32.7 MYA. The S. mosellana genome showed high chromosomal synteny with the genome of Drosophila melanogaster and Anopheles gambiae. The key gene families involved in the detoxification of plant secondary chemistry were analyzed. The high-quality S. mosellana genome data will provide an invaluable resource for research in a broad range of areas, including the biology, ecology, genetics, and evolution of midges, as well as insect-plant interactions and coevolution.

Abstract Image

Abstract Image

Abstract Image

染色体水平的基因组组装的橙色小麦花蠓,Sitodiplosis mosellana g(双翅目:蠓科)为解毒系统的进化提供了见解。
小麦橙花蠓是一种重要的经济害虫,在过去的半个世纪里给世界上大多数小麦产区造成了严重的产量损失。利用PacBio长读、Illumina短读和Hi-C测序技术组装了S. mosellana高质量的染色体水平基因组。最终基因组组装量为180.69 Mb, contig和scaffold N50大小分别为998.71 kb和44.56 Mb。Hi-C支架可靠地固定了4条假染色体,占组装基因组的99.67%。总共预测了12269个蛋白质编码基因,其中91%被功能注释。系统发育分析表明,摩氏蠓与其近亲纳氏蠓(conarinia nasturtii)约在32.7万年前发生分化。与黑腹果蝇和冈比亚按蚊基因组的染色体同源性较高。分析了参与植物二次化学解毒的关键基因家族。高质量的S. mosellana基因组数据将为蠓的生物学、生态学、遗传学和进化以及昆虫与植物的相互作用和共同进化等广泛领域的研究提供宝贵的资源。
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