Whole-genome sequences of four strains closely related to members of the Mycobacterium chelonae group, isolated from biofilms in a drinking water distribution system simulator. This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Whole-Genome Sequences of Four Strains Closely Related with Members of the Mycobacterium chelonae group, Isolated from Biofilms in a Drinking Water Distribution System Simulator. Genome Announcements. American Society for Microbiology, Washington, DC, USA, 4(1): 1-2, (2016).

The dataset contains the first draft genome sequence of the type strain of Mycobacterium chimaera, Fl-0169. This dataset is associated with the following publication: Pfaller, S., V. Tokarev, C. Kessler, C. McLimans, V. Gomez-Alvarez, J. Wright, D. King, and R. Lamendella. Draft Genome Sequence of Mycobacterium chimaera Type Strain Fl-0169. Genome Announcements. American Society for Microbiology, Washington, DC, USA, 5(8): e01620-16, (2017).

The dataset has total chlorine concentration, monochloramine concentration, HPC CFU/500mL, NTM CFU/500mL, and M. avium, M. intracellular, and M. abscessus GU/500ML and THM4 and HAA5/HAA9 data. This dataset is associated with the following publication: Pfaller, S., D. King, J. Mistry, J. Pressman, D. Wahman, G. Abulikemu, and M. Donohue. Chloramine Concentrations within Distribution Systems and Their Effect on Heterotrophic Bacteria, Mycobacterial Species, and Disinfection Byproducts. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 205: 117689, (2021).

Draft genome sequence of two Shingopyxis sp. strains H107 and H115 isolated from a chloraminated drinking water distriburion system simulator. This dataset is associated with the following publication: Gomez-Alvarez, V., S. Pfaller , and R. Revetta. Draft Genome of Two Sphingopyxis sp. Strains, Dominant Members of the Bacterial Community Associated with a Drinking Water Distribution System Simulator. Genome Announcements. American Society for Microbiology, Washington, DC, USA, 4(2): e00183-16, (2016).

PS_GenBank.fasta file contain the sequences of the bacterial 16S rRNA-encoding gene for each representative sequence. The sequence containing four hypervariable regions was amplified using the primer set Eub-8f and 787. PS_GenBank.xlsx file contains rows as sample and columns as entries representing the accession number (NCBI) deposited in GenBank for each representative sequence (i.e. unique sequences). PS_OTU.fasta file contain the sequences of the bacterial 16S rRNA-encoding gene for each Operational Taxonomic Unit (OTU). The sequence containing four hypervariable regions was amplified using the primer set Eub-8f and 787. This dataset is associated with the following publication: Revetta , R., V. Gomez-Alvarez, T. Gerke, J. Santodomingo , and N. Ashbolt. CHANGES IN BACTERIAL COMPOSITION OF BIOFILM IN A METROPOLITAN DRINKING WATER DISTRIBUTION SYSTEM. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(1): 294-305, (2016).

The fasta file (BM_OTU.fasta) contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (≈250 nt) for each Operational Taxonomic Unit (OTU). This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 11: 2254-2267, (2020).

An abundance matrix (BM_taxonomic_lineage.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a ratio of all sequences obtained for each individual sample. This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 11: 2254-2267, (2020).

The dataset includes the accession numbers to the RNA sequences and qPCR data for pathogens and validation of some important RNA sequences. This dataset is associated with the following publication: Lu, J., I. Struewing, and N. Ashbolt. Meta-Transcriptomic Response to Copper Corrosion in Drinking Water Biofilms. Microorganisms. MDPI, Basel, SWITZERLAND, 13(7): 1528, (2025).