<p><i>Monochamus sutor</i> (Coleoptera: Cerambycidae) is a pest that has led to significant economic and ecological losses. Herein, we created a high-quality chromosome-level reference genome for <i>M. sutor</i> by integrating MGI, Nanopore, and Hi-C sequencing technologies. We successfully assembled the scaffolds into eleven chromosomes with a total size of 762.16 MB, featuring a scaffold N50 of 84.3 Mb. In total, 381.54 Mb (50.06%) of repetitive elements were identified, and 14,404 protein-coding genes were predicted, with 83.08% of them annotated. The genome of <i>M. sutor</i> is an invaluable resource that provides data support for biological, ecological, genetic, and other research. It also offers a new basis to explore the functions of key gene families. More importantly, this genome enables data-driven risk prediction of pine wilt disease outbreaks, helping to address the vector role of <i>M. sutor</i> and support scientific surveillance strategies to reduce forest losses.</p>

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Chromosome-level genome assembly of Monochamus sutor in China

  • Dian Yu,
  • Meng Li,
  • Jia-Ru Ren,
  • Chuan-Qin Zhang,
  • Jing Tao

摘要

Monochamus sutor (Coleoptera: Cerambycidae) is a pest that has led to significant economic and ecological losses. Herein, we created a high-quality chromosome-level reference genome for M. sutor by integrating MGI, Nanopore, and Hi-C sequencing technologies. We successfully assembled the scaffolds into eleven chromosomes with a total size of 762.16 MB, featuring a scaffold N50 of 84.3 Mb. In total, 381.54 Mb (50.06%) of repetitive elements were identified, and 14,404 protein-coding genes were predicted, with 83.08% of them annotated. The genome of M. sutor is an invaluable resource that provides data support for biological, ecological, genetic, and other research. It also offers a new basis to explore the functions of key gene families. More importantly, this genome enables data-driven risk prediction of pine wilt disease outbreaks, helping to address the vector role of M. sutor and support scientific surveillance strategies to reduce forest losses.