Published November 26, 2021 | Version 1.0

Host-adaptation in Legionellales is 1.9 Gya, coincident with eukaryogenesis

  • 1. Uppsala University

Description

This dataset contains genomes, proteomes and protein alignments mentioned in Hugoson et al (2021). It has been used to analyze the evolution of host-adaptation in the order Legionellales.

The data is organized by dataset type, and then by dataset.

The four datasets used here are

  • Gamma105, comprising 105 Gammaproteobacteria and 5 outgroups;
  • Legio93, comprising 93 Legionellales and 20 outgroups;
  • Bacteria134, built on Gamma105, adding 27 genomes from Betts et al. (2018)
  • Bacteria93, built by removing Legionella, Francisella, Fangia and Piscirickettsia genera from Bacteria134

1_genomes
Genomes as downloaded or assembled

  • 1_1_Gamma105
  • 1_2_Legio93

2_proteomes
Proteomes, as annotated by prokka

  • 2_1_Gamma105
  • 2_2_Legio93
  • 2_3_Bacteria134

3_alignments

In the first three and the fifth folders, the following files are found. All sequence and alignment files are in fasta format:

  • *_concatenated.fasta: concatenated alignment, trimmed.
  • *.map: map of the files, tab-separated. The first row is a title row. The three first columns give the organism, the marker and the id (as found in the fasta file) for the protein.
  • *_unaligned: non-aligned sequences for each marker.
  • *_aligned: aligned sequences, for each marker. The prefix gives the software used for the alignment.
  • *_trimmed: aligned, trimmed sequences for each marker. The prefix gives the software used to trim the alignment.

 

  • 3_1_Gamma105: Based on the Bact109 set of markers.
  • 3_2_Legio93: Based on the Bact109 set of markers.
  • 3_3_Bacteria134: Based on Gamma105 set and Bact109 set of markers.
  • 3_4_Bacteria93: Based on Bacteria134 (removed fast-evolving genomes).
  • 3_5_TB4SS_auto: Alignment of 12 genes of the T4BSS, automatically detected in all genomes. 
  • 3_6_TB4SS_manual: Alignment of 25 genes of the T4BSS, manually curated by collinearity analysis.

 

Files

Files (462.6 MB)

Name Size
md5:535e67c5daf595dfbdd1f11c968e6bdf
462.6 MB Download

Additional details

Related works

Is supplement to
Preprint: BIORXIV/2019/852004 (Handle)