title: Restructuring of the Aquatic Bacterial Community by Hydric Dynamics Associated with Superstorm Sandy.
abstract: Bacterial community composition and longitudinal fluctuations were monitored in a riverine system during and after Superstorm Sandy to better characterize inter- and intracommunity responses associated with the disturbance associated with a 100-year storm event. High-throughput sequencing of the 16S rRNA gene was used to assess microbial community structure within water samples from Muddy Creek Run, a second-order stream in Huntingdon, PA, at 12 different time points during the storm event (29 October to 3 November 2012) and under seasonally matched baseline conditions. High-throughput sequencing of the 16S rRNA gene was used to track changes in bacterial community structure and divergence during and after Superstorm Sandy. Bacterial community dynamics were correlated to measured physicochemical parameters and fecal indicator bacteria (FIB) concentrations. Bioinformatics analyses of 2.1 million 16S rRNA gene sequences revealed a significant increase in bacterial diversity in samples taken during peak discharge of the storm. Beta-diversity analyses revealed longitudinal shifts in the bacterial community structure. Successional changes were observed, in which Betaproteobacteria and Gammaproteobacteria decreased in 16S rRNA gene relative abundance, while the relative abundance of members of the Firmicutes increased. Furthermore, 16S rRNA gene sequences matching pathogenic bacteria, including strains of Legionella, Campylobacter, Arcobacter, and Helicobacter, as well as bacteria of fecal origin (e.g., Bacteroides), exhibited an increase in abundance after peak discharge of the storm. This study revealed a significant restructuring of in-stream bacterial community structure associated with hydric dynamics of a storm event.
  
  
  
  In order to better understand the microbial risks associated with freshwater environments during a storm event, a more comprehensive understanding of the variations in aquatic bacterial diversity is warranted. This study investigated the bacterial communities during and after Superstorm Sandy to provide fine time point resolution of dynamic changes in bacterial composition. This study adds to the current literature by revealing the variation in bacterial community structure during the course of a storm. This study employed high-throughput DNA sequencing, which generated a deep analysis of inter- and intracommunity responses during a significant storm event. This study has highlighted the utility of applying high-throughput sequencing for water quality monitoring purposes, as this approach enabled a more comprehensive investigation of the bacterial community structure. Altogether, these data suggest a drastic restructuring of the stream bacterial community during a storm event and highlight the potential of high-throughput sequencing approaches for assessing the microbiological quality of our environment.
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.|WrightLabs LLC, Huntingdon, Pennsylvania, USA.
authors.forename: Nikea
authors.initials: N
authors.lastname: Ulrich
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.
authors.forename: Abigail
authors.initials: A
authors.lastname: Rosenberger
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.
authors.forename: Colin
authors.initials: C
authors.lastname: Brislawn
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.|WrightLabs LLC, Huntingdon, Pennsylvania, USA.
authors.forename: Justin
authors.initials: J
authors.lastname: Wright
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.
authors.forename: Collin
authors.initials: C
authors.lastname: Kessler
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.
authors.forename: David
authors.initials: D
authors.lastname: Toole
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.
authors.forename: Caroline
authors.initials: C
authors.lastname: Solomon
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.
authors.forename: Steven
authors.initials: S
authors.lastname: Strutt
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA.
authors.forename: Erin
authors.initials: E
authors.lastname: McClure
authors.affiliation: Juniata College, Department of Biology, Huntingdon, Pennsylvania, USA lamendella@juniata.edu.|WrightLabs LLC, Huntingdon, Pennsylvania, USA.
authors.forename: Regina
authors.initials: R
authors.lastname: Lamendella
mesh_terms: D001419:Bacteria / Q000145:classification* / Q000235:genetics*; D058448:Biota; D016000:Cluster Analysis; D019295:Computational Biology; D055867:Cyclonic Storms; D004269:DNA, Bacterial / Q000737:chemistry / Q000235:genetics; D004275:DNA, Ribosomal / Q000737:chemistry / Q000235:genetics; D059014:High-Throughput Nucleotide Sequencing; D008137:Longitudinal Studies; D010414:Pennsylvania; D010802:Phylogeny; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D045483:Rivers / Q000382:microbiology*; D017422:Sequence Analysis, DNA
chemical_list: D004269:DNA, Bacterial; D004275:DNA, Ribosomal; D012336:RNA, Ribosomal, 16S