Transcriptomes of three species of Tipuloidea (Diptera, Tipulomorpha) and implications for phylogeny of Tipulomorpha

PLoS One. 2017 Mar 6;12(3):e0173207. doi: 10.1371/journal.pone.0173207. eCollection 2017.

Abstract

Tipulomorpha has long been a problematic taxon in terms of familial composition, phylogenetic relationships among families and position relative to other 'lower' Diptera. Whole-transcriptome shotgun sequencing provides a powerful basis for phylogenetic studies. We performed de novo transcriptome sequencing to produce the first transcriptome datasets representing the families Pediciidae, Limoniidae and Cylindrotomidae using high-throughput sequencing technologies. We assembled cDNA libraries for Pedicia vetusta (Alexander) (Pediciidae), Rhipidia sejuga Zhang, Li and Yang (Limoniidae) and Liogma simplicicornis Alexander (Cylindrotomidae). Using the Illumina RNA-Seq method, we obtained 28,252, 44,152 and 44,281 unigenes, from the three respective species. Based on sequence similarity searches, 12,475 (44.16%), 20,334 (46.05%) and 17,478 (39.47%) genes were identified. Analysis of genes highly conserved at the amino acid sequence level revealed there were 1,709 single-copy orthologs genes across the analyzed species. Phylogenetic trees constructed using maximum likelihood (ML) based on the 1,709 single-copy orthologs genes indicated that the relationship between the four major infraorders of lower Diptera was: Culicomorpha + (Tipulomorpha + (Psychodomorpha + (Bibionomorpha + Brachycera))). Trichoceridae belongs within Tipulomorpha as the sister-group of Tipuloidea. Highly supported relationships within the Tipuloidea are Pediciidae + (Limoniidae + (Cylindrotomidae + Tipulidae)). Four-cluster likelihood mapping was used to study potential incongruent signals supporting other topologies, however, results were congruent with the ML tree.

MeSH terms

  • Animals
  • Cluster Analysis
  • Computational Biology / methods
  • Diptera / classification*
  • Diptera / genetics*
  • Gene Expression Profiling
  • Gene Ontology
  • High-Throughput Nucleotide Sequencing
  • Molecular Sequence Annotation
  • Phylogeny*
  • Transcriptome*

Grants and funding

This work was supported by the National Natural Science Foundation of China (No. 31320103902 and 31272354). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.