Improved high quality sand fly assemblies enabled by ultra low input long read sequencing

  • Michelle Huang
  • , Sarah Kingan
  • , Douglas Shoue
  • , Oanh Nguyen
  • , Lutz Froenicke
  • , Brendan Galvin
  • , Christine Lambert
  • , Ruqayya Khan
  • , Chirag Maheshwari
  • , David Weisz
  • , Gareth Maslen
  • , Helen Davison
  • , Erez Lieberman Aiden
  • , Jonas Korlach
  • , Olga Dudchenko
  • , Mary Ann McDowell
  • , Stephen Richards

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Phlebotomine sand flies are the vectors of leishmaniasis, a neglected tropical disease. High-quality reference genomes are an important tool for understanding the biology and eco-evolutionary dynamics underpinning disease epidemiology. Previous leishmaniasis vector reference sequences were limited by sequencing technologies available at the time and inadequate for high-resolution genomic inquiry. Here, we present updated reference assemblies of two sand flies, Phlebotomus papatasi and Lutzomyia longipalpis. These chromosome-level assemblies were generated using an ultra-low input library protocol, PacBio HiFi long reads, and Hi-C technology. The new P. papatasi reference has a final assembly span of 351.6 Mb and contig and scaffold N50s of 926 kb and 111.8 Mb, respectively. The new Lu. longipalpis reference has a final assembly span of 147.8 Mb and contig and scaffold N50s of 1.09 Mb and 40.6 Mb, respectively. Benchmarking Universal Single-Copy Orthologue (BUSCO) assessments indicated 94.5% and 95.6% complete single copy insecta orthologs for P. papatasi and Lu. longipalpis. These improved assemblies will serve as an invaluable resource for future genomic work on phlebotomine sandflies.

Original languageEnglish (US)
Article number918
JournalScientific Data
Volume11
Issue number1
DOIs
StatePublished - Dec 2024
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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