TY  - JOUR
A1  - Fux, Robert
A1  - Arndt, Daniela
A1  - Langenmayer, Martin C.
A1  - Schwaiger, Julia
A1  - Ferling, Hermann
A1  - Fischer, Nicole
A1  - Indenbirken, Daniela
A1  - Grundhoff, Adam
A1  - Dölken, Lars
A1  - Adamek, Mikolaj
A1  - Steinhagen, Dieter
A1  - Sutter, Gerd
T1  - Piscine orthoreovirus 3 is not the causative pathogen of proliferative darkening syndrome (PDS) of brown trout (Salmo trutta fario)
JF  - Viruses
N2  - The proliferative darkening syndrome (PDS) is a lethal disease of brown trout (Salmo trutta fario) which occurs in several alpine Bavarian limestone rivers. Because mortality can reach 100%, PDS is a serious threat for affected fish populations. Recently, Kuehn and colleagues reported that a high throughput RNA sequencing approach identified a piscine orthoreovirus (PRV) as a causative agent of PDS. We investigated samples from PDS-affected fish obtained from two exposure experiments performed at the river Iller in 2008 and 2009. Using a RT-qPCR and a well-established next-generation RNA sequencing pipeline for pathogen detection, PRV-specific RNA was not detectable in PDS fish from 2009. In contrast, PRV RNA was readily detectable in several organs from diseased fish in 2008. However, similar virus loads were detectable in the control fish which were not exposed to Iller water and did not show any signs of the disease. Therefore, we conclude that PRV is not the causative agent of PDS of brown trout in the rhithral region of alpine Bavarian limestone rivers. The abovementioned study by Kuehn used only samples from the exposure experiment from 2008 and detected a subclinical PRV bystander infection. Work is ongoing to identify the causative agent of PDS.
KW  - proliferative darkening syndrome
KW  - black trout syndrome
KW  - piscine orthoreovirus
KW  - orthoreovirus
KW  - brown trout
KW  - Salmo trutta fario
KW  - next generation sequencing
KW  - RT-qPCR
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-196991
SN  - 1999-4915
VL  - 11
IS  - 2
ER  - 
TY  - JOUR
A1  - Krohn-Molt, Ines
A1  - Alawi, Malik
A1  - Förstner, Konrad U.
A1  - Wiegandt, Alena
A1  - Burkhardt, Lia
A1  - Indenbirken, Daniela
A1  - Thieß, Melanie
A1  - Grundhoff, Adam
A1  - Kehr, Julia
A1  - Tholey, Andreas
A1  - Streit, Wolfgang R.
T1  - Insights into microalga and bacteria interactions of selected phycosphere biofilms using metagenomic, transcriptomic, and proteomic approaches
JF  - Frontiers in Microbiology
N2  - Microalga are of high relevance for the global carbon cycling and it is well-known that they are associated with a microbiota. However, it remains unclear, if the associated microbiota, often found in phycosphere biofilms, is specific for the microalga strains and which role individual bacterial taxa play. Here we provide experimental evidence that \(Chlorella\) \(saccharophila\), \(Scenedesmus\) \(quadricauda\), and \(Micrasterias\) \(crux-melitensis\), maintained in strain collections, are associated with unique and specific microbial populations. Deep metagenome sequencing, binning approaches, secretome analyses in combination with RNA-Seq data implied fundamental differences in the gene expression profiles of the microbiota associated with the different microalga. Our metatranscriptome analyses indicates that the transcriptionally most active bacteria with respect to key genes commonly involved in plant–microbe interactions in the Chlorella (Trebouxiophyceae) and Scenedesmus (Chlorophyceae) strains belong to the phylum of the α-Proteobacteria. In contrast, in the Micrasterias (Zygnematophyceae) phycosphere biofilm bacteria affiliated with the phylum of the Bacteroidetes showed the highest gene expression rates. We furthermore show that effector molecules known from plant-microbe interactions as inducers for the innate immunity are already of relevance at this evolutionary early plant-microbiome level.
KW  - microbiology
KW  - microalga-bacteria interaction
KW  - phycosphere biofilm
KW  - metagenomics
KW  - metatranscriptomics
KW  - metaproteomics
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-173701
VL  - 2017
IS  - 8
ER  -