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1.
Microb Biotechnol ; 12(5): 892-906, 2019 09.
Article in English | MEDLINE | ID: mdl-31270938

ABSTRACT

Organic pollutants (OPs) are critically toxic, bioaccumulative and globally widespread. Moreover, several OPs negatively influence aquatic wildlife. Although bacteria are major drivers of the ocean carbon cycle and the turnover of vital elements, there is limited knowledge of OP effects on heterotrophic bacterioplankton. We therefore investigated growth and gene expression responses of the Baltic Sea model bacterium Rheinheimera sp. BAL341 to environmentally relevant concentrations of distinct classes of OPs in 2-h incubation experiments. During exponential growth, exposure to a mix of polycyclic aromatic hydrocarbons, alkanes and organophosphate esters (denoted MIX) resulted in a significant decrease (between 9% and 18%) in bacterial abundance and production compared with controls. In contrast, combined exposure to perfluorooctanesulfonic acids and perfluorooctanoic acids (denoted PFAS) had no significant effect on growth. Nevertheless, MIX and PFAS exposures both induced significant shifts in gene expression profiles compared with controls in exponential growth. This involved several functional metabolism categories (e.g. stress response and fatty acids metabolism), some of which were pollutant-specific (e.g. phosphate acquisition and alkane-1 monooxygenase genes). In stationary phase, only two genes in the MIX treatment were significantly differentially expressed. The substantial direct influence of OPs on metabolism during bacterial growth suggests that widespread OPs could severely alter biogeochemical processes governed by bacterioplankton.


Subject(s)
Aquatic Organisms/drug effects , Aquatic Organisms/growth & development , Chromatiaceae/drug effects , Chromatiaceae/growth & development , Gene Expression/drug effects , Organic Chemicals/toxicity , Water Pollutants, Chemical/toxicity , Aquatic Organisms/genetics , Bacterial Load , Chromatiaceae/genetics , Gene Expression Profiling , Metabolic Networks and Pathways/genetics , Seawater/microbiology
2.
Microbiome ; 6(1): 173, 2018 09 28.
Article in English | MEDLINE | ID: mdl-30266101

ABSTRACT

BACKGROUND: Prokaryotes dominate the biosphere and regulate biogeochemical processes essential to all life. Yet, our knowledge about their biology is for the most part limited to the minority that has been successfully cultured. Molecular techniques now allow for obtaining genome sequences of uncultivated prokaryotic taxa, facilitating in-depth analyses that may ultimately improve our understanding of these key organisms. RESULTS: We compared results from two culture-independent strategies for recovering bacterial genomes: single-amplified genomes and metagenome-assembled genomes. Single-amplified genomes were obtained from samples collected at an offshore station in the Baltic Sea Proper and compared to previously obtained metagenome-assembled genomes from a time series at the same station. Among 16 single-amplified genomes analyzed, seven were found to match metagenome-assembled genomes, affiliated with a diverse set of taxa. Notably, genome pairs between the two approaches were nearly identical (average 99.51% sequence identity; range 98.77-99.84%) across overlapping regions (30-80% of each genome). Within matching pairs, the single-amplified genomes were consistently smaller and less complete, whereas the genetic functional profiles were maintained. For the metagenome-assembled genomes, only on average 3.6% of the bases were estimated to be missing from the genomes due to wrongly binned contigs. CONCLUSIONS: The strong agreement between the single-amplified and metagenome-assembled genomes emphasizes that both methods generate accurate genome information from uncultivated bacteria. Importantly, this implies that the research questions and the available resources are allowed to determine the selection of genomics approach for microbiome studies.


Subject(s)
Bacteria/genetics , Genome, Bacterial/genetics , Metagenome/genetics , Microbiota/genetics , Nucleic Acid Amplification Techniques , Whole Genome Sequencing/methods , Bacteria/classification , High-Throughput Nucleotide Sequencing , Oceans and Seas , RNA, Ribosomal, 16S/genetics , Sequence Alignment , Sweden
3.
Environ Microbiol Rep ; 10(4): 493-500, 2018 08.
Article in English | MEDLINE | ID: mdl-29733107

ABSTRACT

Disturbances are believed to be one of the main factors influencing variations in community diversity and functioning. Here we investigated if exposure to a pH press disturbance affected the composition and functional performance of a bacterial community and its resistance, recovery and resilience to a second press disturbance (salt addition). Lake bacterial assemblages were initially exposed to reduced pH in six mesocosms whereas another six mesocosms were kept as reference. Seven days after the pH disturbance, three tanks from each treatment were exposed to a salt disturbance. Both bacterial production and enzyme activity were negatively affected by the salt treatment, regardless if the communities had been subject to a previous disturbance or not. However, cell-specific enzyme activity had a higher resistance in communities pre-exposed to the pH disturbance compared to the reference treatment. In contrast, for cell-specific bacterial production resistance was not affected, but recovery was faster in the communities that had previously been exposed to the pH disturbance. Over time, bacterial community composition diverged among treatments, in response to both pH and salinity. The difference in functional recovery, resilience and resistance may depend on differences in community composition caused by the pH disturbance, niche breadth or acquired stress resistance.


Subject(s)
Bacterial Physiological Phenomena , Plankton/physiology , Stress, Physiological/physiology , Water Microbiology , Bacteria/classification , Bacteria/growth & development , Bacteria/metabolism , Carbon/metabolism , Cellulose 1,4-beta-Cellobiosidase/metabolism , Hydrogen-Ion Concentration , Lakes/microbiology , Plankton/classification , Plankton/growth & development , Plankton/metabolism , RNA, Ribosomal, 16S/genetics , Salinity , beta-Glucosidase/metabolism
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