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Chromosome-level genome assembly of the two-spotted spider mite Tetranychus urticae.
Cao, Li-Jun; Guan, Tian-Bo; Chen, Jin-Cui; Yang, Fangyuan; Liu, Jing-Xian; Jin, Feng-Liang; Wei, Shu-Jun.
Affiliation
  • Cao LJ; College of Plant Protection, South China Agricultural University, Guangzhou, China.
  • Guan TB; Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Chen JC; College of Plant Protection, South China Agricultural University, Guangzhou, China.
  • Yang F; Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Liu JX; Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Jin FL; Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Wei SJ; College of Plant Protection, South China Agricultural University, Guangzhou, China.
Sci Data ; 11(1): 798, 2024 Jul 18.
Article in En | MEDLINE | ID: mdl-39025916
ABSTRACT
The two-spotted spider mite, Tetranychus urticae Koch (Acari Tetranychidae), is a notorious pest in agriculture that has developed resistance to almost all chemical types used for its control. Here, we assembled a chromosome-level genome for the TSSM using Illumina, Nanopore, and Hi-C sequencing technologies. The assembled contigs had a total length of 103.94 Mb with an N50 of 3.46 Mb, with 87.7 Mb of 34 contigs anchored to three chromosomes. The chromosome-level genome assembly had a BUSCO completeness of 94.8%. We identified 15,604 protein-coding genes, with 11,435 genes that could be functionally annotated. The high-quality genome provides invaluable resources for the genetic and evolutionary study of TSSM.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tetranychidae Limits: Animals Language: En Journal: Sci Data Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tetranychidae Limits: Animals Language: En Journal: Sci Data Year: 2024 Document type: Article