Detailed analysis of metagenome datasets obtained from biogas-producing microbial communities residing in biogas reactors does not indicate the presence of putative pathogenic microorganisms.

BACKGROUND: In recent years biogas plants in Germany have been supposed to be involved in amplification and dissemination of pathogenic bacteria causing severe infections in humans and animals. In particular, biogas plants are discussed to contribute to the spreading of Escherichia coli infections in humans or chronic botulism in cattle caused by Clostridium botulinum. Metagenome datasets of microbial communities from an agricultural biogas plant as well as from anaerobic lab-scale digesters operating at different temperatures and conditions were analyzed for the presence of putative pathogenic bacteria and virulence determinants by various bioinformatic approaches. RESULTS: All datasets featured a low abundance of reads that were taxonomically assigned to the genus Escherichia or further selected genera comprising pathogenic species. Higher numbers of reads were taxonomically assigned to the genus Clostridium. However, only very few sequences were predicted to originate from pathogenic clostridial species. Moreover, mapping of metagenome reads to complete genome sequences of selected pathogenic bacteria revealed that not the pathogenic species itself, but only species that are more or less related to pathogenic ones are present in the fermentation samples analyzed. Likewise, known virulence determinants could hardly be detected. Only a marginal number of reads showed similarity to sequences described in the Microbial Virulence Database MvirDB such as those encoding protein toxins, virulence proteins or antibiotic resistance determinants. CONCLUSIONS: Findings of this first study of metagenomic sequence reads of biogas producing microbial communities suggest that the risk of dissemination of pathogenic bacteria by application of digestates from biogas fermentations as fertilizers is low, because obtained results do not indicate the presence of putative pathogenic microorganisms in the samples analyzed.

Establishment and interpretation of the genome sequence of the phytopathogenic fungus Rhizoctonia solani AG1-IB isolate 7/3/14.

Anastomosis group AG1-IB isolates of the anamorphic basidiomycetous fungus Rhizoctonia solani Kühn affect various agricultural and horticultural important crops including bean, rice, soybean, figs, hortensia, cabbage and lettuce. To gain insights into the genome structure and content, the first draft genome sequence of R. solani AG1-IB isolate 7/3/14 was established. Four complete runs on the Genome Sequencer (GS) FLX platform (Roche Applied Science) yielding approx. a 25-fold coverage of the R. solani genome were accomplished. Assembly of the sequence reads by means of the gsAssembler software version 2.6 applying the heterozygotic mode resulted in numerous contigs and scaffolds and a predicted size of 87.1 Mb for the diploid status of the genome. 'Contig-length vs. read-count' analysis revealed that the assembled contigs can be classified into five different groups. Detailed BLAST-analysis revealed that most contigs of group II feature high-scoring matches to other contigs of the same group suggesting that distinguishable allelic variants exist for many genes. Due to the supposed diploid and heterokaryotic nature of R. solani AG1-IB 7/3/14, this result has been anticipated. However, the heterokaryotic character of the isolate is not really supported by sequencing data obtained for the isolate R. solani AG1-IB 7/3/14. Coverage of group III contigs is twice as high as for group II contigs which can also be explained by the diploid status of the genome and indistinguishable alleles on homologous chromosomes. Assembly of sequence data led to the identification of the rRNA unit (group V contigs) and the mitochondrial (mt) genome (group IV contigs) which is a circular molecule of 162,751 bp in size featuring a GC-content of 36.4%. The R. solani 7/3/14 mt-genome is one of the largest fungal mitochondrial genomes known to date. Its large size essentially is due to the presence of numerous non-conserved hypothetical ORFs and introns. Gene prediction for the R. solani AG1-IB 7/3/14 genome was conducted by the Augustus Gene Prediction Software for Eukaryotes (version 2.6.) applying the parameter set for the fungus Coprinopsis cinerea okayama 7#130. Gene prediction and annotation provided first insights into the R. solani AG1-IB 7/3/14 gene structure and content. In total, 12,422 genes were predicted. The average number of exons per gene is five. Exons have a mean length of 214 bp, whereas introns on average are 66 bp in length. Annotation of the genome revealed that 4169 of 12,422 genes could be assigned to KOG functional categories.

Draft whole genome sequence of the cyanide-degrading bacterium Pseudomonas pseudoalcaligenes CECT5344.

Pseudomonas pseudoalcaligenes CECT5344 is a Gram-negative bacterium able to tolerate cyanide and to use it as the sole nitrogen source. We report here the first draft of the whole genome sequence of a P. pseudoalcaligenes strain that assimilates cyanide. Three aspects are specially emphasized in this manuscript. First, some generalities of the genome are shown and discussed in the context of other Pseudomonadaceae genomes, including genome size, G + C content, core genome and singletons among other features. Second, the genome is analysed in the context of cyanide metabolism, describing genes probably involved in cyanide assimilation, like those encoding nitrilases, and genes related to cyanide resistance, like the cio genes encoding the cyanide insensitive oxidases. Finally, the presence of genes probably involved in other processes with a great biotechnological potential like production of bioplastics and biodegradation of pollutants also is discussed.