These data are bacterial 16S rRNA sequences and a taxonomic summary table for biofilm samples from the bio-reactors. The data may provide background/supporting information for other researchers who have a similar experimental plan with a microbial electrochemical cell reactor. This dataset is associated with the following publication: Santodomingo, J., H. Lee, B. Dhar, J. An, B. Rittmann, H. Ren, and J. Chae. The Roles of Biofilm Conductivity and Donor Substrate Kinetics in a Mixed-Culture Biofilm Anod. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(23): 12799-12807, (2016).

Sequence reads (16S rDNA- and 16S rRNA-based) were processed and analyzed using Mothur software. The results presented in the attached Excel file. Also, the other MS word file includes taxonomic summary tables for bacterial communities on biofilms from the MAIFAS reactor as well as the detailed description of Materials & Methods. This dataset is associated with the following publication: Church, J., H. Ryu, A. Sadmani, A. Randall, J. Santodomingo, and W.H. Lee. Multiscale investigation of a symbiotic microalgal-integrated fixed film activated sludge (MAIFAS) process for nutrient removal and photo-oxygenation. Bioresource Technology. Elsevier Online, New York, NY, USA, 268: 128-138, (2018).

Sequence reads (16S rDNA- and 16S rRNA-based) were processed and analyzed using Mothur software. The results presented in the attached Excel file. Also, the other MS word file includes taxonomic summary tables for bacterial communities on biofilms from the MAIFAS reactor as well as the detailed description of Materials & Methods. This dataset is associated with the following publication: Church, J., H. Ryu, A. Sadmani, A. Randall, J. Santodomingo, and W.H. Lee. Multiscale investigation of a symbiotic microalgal-integrated fixed film activated sludge (MAIFAS) process for nutrient removal and photo-oxygenation. Bioresource Technology. Elsevier Online, New York, NY, USA, 268: 128-138, (2018).

These data include raw sequencing data (bacterial 16S and eukaryote 18S rRNA genes) and a summary result table for bacteria classification in an Excel file. This dataset is associated with the following publication: Hwang, J., H. Ryu, K. Rodriguez, S. Fahad, J. SantoDomingo, A. Kushima, and W. Lee. A strategy for power generation from bilgewater using a photosynthetic microalgal fuel cell (MAFC). JOURNAL OF POWER SOURCES. Elsevier Science Ltd, New York, NY, USA, 484: 229222, (2021).

The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. This dataset is associated with the following publication: Li, L., Y. Jeon, S. Lee, H. Ryu, J. Santodomingo, and Y. Seo. Dynamics of the Physiochemical and Community Structures of Biofilms under the Influence of Algal Organic Matter and Humic Substances. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 158: 136-145, (2019).

The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. This dataset is associated with the following publication: Li, L., Y. Jeon, S. Lee, H. Ryu, J. Santodomingo, and Y. Seo. Dynamics of the Physiochemical and Community Structures of Biofilms under the Influence of Algal Organic Matter and Humic Substances. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 158: 136-145, (2019).

This study systematically assessed intracellular electron transfer (IET) and extracellular electron transfer (EET) kinetics with respect to anode potential (Eanode) in a mixed-culture biofilm anode enriched with Geobacter spp. High biofilm conductivity (0.96–1.24 mScm^-1) was maintained during Eanode changes from -0.2 to +0.2 V versus the standard hydrogen electrode (SHE), although the steady-state current density significantly decreased from 2.05 to 0.35 Am^-2 in a microbial electrochemical cell. Substantial increase of the Treponema population was observed in the biofilm anode at Eanode=+0.2 V, which reduced intracellular electron-transfer kinetics associated with the maximum specific substrate-utilization rate by a factor of ten. This result suggests that fast EET kinetics can be maintained under dynamic Eanode conditions in a highly conductive biofilm anode as a result of shift of main EET players in the biofilm anode, although Eanode changes can influence IET kinetics. This dataset is associated with the following publication: Dhar, B., H. Ryu, H. Ren, J. Santodomingo, J. Chae, and H. Lee. High Biofilm Conductivity Maintained Despite Anode Potential Changes in a Geobacter-Enriched Biofilm. ChemSusChem. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, GERMANY, 9(24): 3485 –3491, (2016).

This study assessed the conductivity of a Geobacter-enriched biofilm anode along with biofilm activity in a microbial electrochemical cell (MxC) equipped with two gold anodes (25 mM acetate medium), as different proton gradients were built throughout the biofilm. There was no pH gradient across the biofilm anode at 100 mM phosphate buffer (current density 2.38 A/m2) and biofilm conductivity (Kbio) was as high as 0.87 mS/cm. In comparison, an inner biofilm became acidic at 2.5 mM phosphate buffer in which approximately 80 μm of the inner biofilm anode was metabolically inactive. At this low phosphate buffer, Kbio significantly decreased by 0.27 mS/cm, together with declined current density of 0.64 A/m2. This work demonstrates that biofilm conductivity depends on metabolic activity of Geobacter in the conductive biofilm anode. The decreased Kbio at acidic environment implies the presence of multiple conduction-EET pathways in the biofilm anode. This dataset is associated with the following publication: Dhar, B., J. Sim, H. Ryu, H. Ren, J. Santodomingo, J. Chae, and H. Lee. Microbial Activity Influences Electrical Conductivity of Biofilm Anode. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 127: 230-238, (2017).

The dataset includes the results of DNA concentrations, barcode 16S information for DNA sequencing, and data analysis. This dataset is associated with the following publication: Jeon, Y., l. li, M. Bhatia, H. Ryu, J. SantoDomingo, J. Brown, J. Goetz, and y. seo. Impacts of severe harmful algal blooms on bacterial communities in full-scale biological filtration systems for drinking water treatment. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 927: e171301, (2024).

A phylogenetic tree was generated that illustrates the affiliation of the partial 16S rRNA gene sequence from a clone of the uncultured cyanobacterium symbiont of the sponge Ircinia ramosa. The partial 16S rRNA gene sequence derived from this clone is available from the EMBL/GenBank/DDBJ nucleotide sequences database under Accession No. EF467662. To consider the use of molecular techniques for searching and identifying key biosynthetic genes from the currently non-culturable microbial consortia.To examine the ecological role and metabolic cost to the algal producer for the biosynthesis of such a vast array of often complex secondary metabolites. Prochlorococcus marinus (AE017162, AF001469, AF001470, AF001471, AF001474, AF053397, AF053399, AF115268, AF115270, AF180967, AF311217, AF311220, BX572095, BX572090, BX572100, X63140); Synechococcus sp. (AF001480, AF216950, AF317073, AF330249, AF330250, AF330251, AF448060, AF448063, AF448067, AY172801, AY172802, AY172803, AY172804, AY172806, AY172807, AY172808, AY172809, AY172810, AY172832, AY210409, AY224198, BX569694); Cyanobacterium symbiont of Ircinia ramosa (EF467662); Cyanobacterium symbionts of Xestopongia exigua (AY692243, AY692244, AY692245); Cyanobacterium symbiont of Aplysina aerophoba (AJ347056).