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).

An abundance matrix (PS_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: 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).

The fasta files (Genome_Set01.zip) contain the reference-assisted de novo assemblies (as contigs) of seven Legionella pneumophila subps. pneumophila isolates. The table contains rows as isolates (yellow) and columns as attributes (green) for each individual genome. This dataset is associated with the following publication: Gomez-Alvarez, V., L. Boczek, D. King, A. Pemberton, S. Pfaller, M. Rodgers, J. Santodomingo, and R. Revetta. Draft Genome Sequences of Seven Legionella pneumophila Isolates from a Hot Water System of a Large Building. Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 8(18): e00384-19, (2019).

The EX_Genome_Assemblies.zip file contain the contig sequences (i.e. assembly) of fifteen isolates used for genomic and antibiotic resistance genes (ARG) analysis. EX_OTU.fasta file 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., S. Pfaller, J. Pressman, D. Wahman, and R. Revetta. Resilience of microbial communities in a simulated drinking water distribution system subjected to disturbances: role of conditionally rare taxa and potential implications for antibiotic-resistant bacteria. Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge, UK, 2: 645-657, (2016).

The bacteria sequence data generated in this study is available in the Short Read Archive (SRA) of NCBI (https://www.ncbi.nlm.nih.gov/) under BioProject PRJNA509718.

The bacteria sequence data generated in this study is available in the Short Read Archive (SRA) of NCBI (https://www.ncbi.nlm.nih.gov/) under BioProject PRJNA509718.

The Whole Genome Shotgun project has been deposited in DDBJ/ENA/GenBank under the BioProject PRJNA487286 with the following accession numbers CP061840 (chromosome) and CP061841 (plasmid). The raw sequence reads have been submitted to the NCBI SRA under the accession numbers SRR13076822 and SRR13076823. This dataset is associated with the following publication: Gomez-Alvarez, V., L. Boczek, I. Raffenberg, and R. Revetta. Closed Genome and Plasmid Sequences of Legionella pneumophila AW-13-4, Isolated from a Hot Water Loop System of a Large Occupational Building. Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 10(1): e01276-20, (2021).

The raw sequence reads have been submitted to the NCBI Sequence Read Archive (SRA) under the BioProject PRJNA961987 with the following BioSample numbers: SAMN39596420, SAMN39596421, SAMN39596422, SAMN39596423, SAMN39596424, SAMN39596425, SAMN39596426, SAMN39596427, SAMN39596428, SAMN39596429, SAMN39596430, SAMN39596431, SAMN39596432, SAMN39596433, SAMN39596434, SAMN39596435, SAMN39596436, SAMN39596437, and SAMN39596438. A table (Table_diversity_indices.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), diversity indices (Chao and Shannon), and water temperature (°C) for each Set of samples. A table (Table_Legiolert.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), abundance of cultured Legionella pneumophila (MPN/100mL), and water temperature (°C) for each Set of samples. A table (Table_qPCR_L_pneumophila.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of L. pneumophila (GCN/100mL), and water temperature (°C) for each Set of samples. A table (Table_qPCR_Legionella.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of Legionella spp. (GCN/100mL), and water temperature (°C) for each Set of samples. A table (Table_qPCR_Mycobacterium.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of Mycobacterium spp. (GCN/100mL), and water temperature (°C) for each Set of samples. A table (Table_qPCR_V_vermiformis.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of V. vermiformis (GCN/100mL), and water temperature (°C) for each Set of samples. An abundance matrix (Table_taxonomy.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a number of reads obtained for each Set of samples. A table (Table_water_temperature.xlsx) contains rows as water samples with ID, columns as temperature (°C and °F) measured from the top, bottom and drain of the water tank for each Set of samples. This dataset is associated with the following publication: Gomez-Alvarez, V., H. Ryu, M. McNeely, C. Muhlen, D. Williams, D. Lytle, and L. Boczek. Vertical Stratification of the Water Microbiome in an Electric Water Heater Tank: implications for premise plumbing opportunistic pathogens. JOURNAL OF WATER AND HEALTH. IWA Publishing, London, UK, 22(12): 2346–2357, (2024).

These data describe microbiological analyses performed on groundwater samples from domestic drinking water supply collected from 42 groundwater wells in the Central Valley of California. Samples were collected between January 2014 and April 2014 for the Groundwater Ambient Monitoring and Assessment (GAMA) program priority basin assessment of the Madera, Chowchilla, and Kings (MACK) groundwater sub-basins’ shallow aquifers. A total of 75 wells were sampled for the MACK study unit between August 2013 and April 2014. Samples for this dataset were vacuum filtered and plated on MI and mEI agars prior to incubation to promote colony growth. Colonies were tallied by their species into columns for various fecal indicator bacteria (FIBs): total coliforms (TCs), Escherichia coli (E. coli), enterococci. Non-target growths were also counted and tallied. Six additional replicate samples were collected for quality assurance. Of the 579 total FIB colonies detected, 106 were selected for polymerase chain reaction (PCR) analysis with the goal of sequencing their DNA. Selected colonies consisted of both target and non-target growths and were taken from 14 samples collected at 13 different wells. DNA sequencing was successful for 34 of the sampled colonies out of a total of 59 submitted. Results for these analyses were reported in FASTA format with the number of bases and their starting position indicated for each batch.