Lab protocols for the Lowe-Power lab (scroll down for table of contents Readme)
Tiffany created a tutorial powerpoint to provide advice on setting up a KBase narrative for Ralstonia phylogenomics including insight into the quality control. It’s a guide for making additional phylogenomics narratives if you want to. Download the tutorial .pptx from this github page. Download button is the ↓ arrow towards the right of the page.
The Lowe-Power lab maintains this narrative with all of the publicly available RSSC genomes.
Contributors: Tiffany Lowe-Power, Vienna Elmgreen
Version 2: 600-700 genomes https://narrative.kbase.us/narrative/189849
Version with only the genomes of strains in Lowe-Power lab strain collection: https://narrative.kbase.us/narrative/199187
Original version (don’t use; keep for Legacy) https://narrative.kbase.us/narrative/123807
Useful genome sets:
Tiffany used GTDB to identify genome representatives of approx 300 species in the Burkholderiales order. All genomes were described as complete on GTDB, but it is possible that there are mistakes. The genomes are named according to GTDB taxonomy when the narrative was created in Summer 2023.
https://narrative.kbase.us/narrative/142785
Useful genome set:
Tiffany maintains this narrative with all of the publicly available Ralstonia genomes that are not RSSC.
https://narrative.akbase.us/narrative/189428
Tiffany maintains this narrative with all of the publicly available Cupriavidus genus genomes.
https://narrative.kbase.us/narrative/142720
Tiffany maintains this narrative with all of the publicly available Pandoraea genus genomes.
https://narrative.kbase.us/narrative/142975
Quorum sensing transcriptome datasets from multiple sources:
efpR transcriptome from Perrier et al.
Phyl. IIB-1 strain UY031 in potato stems and rich media from de Pedro Jove 2020
Phyl. I strain RS-SY1 in pepper stems from Du et al 2022.
Phyl. IIB-4 strains IBSBF1503 and UW163 in tomato, banana, and melon stems from Ailloud et al. 2016
Phyl. IV-BDB strain UGMSS-Db01 in culture. (The in planta transcriptome had almost no bacterial reads)