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Infections caused by endospore-forming bacteria have been associated with severe illness and death among persons who inject drugs. Analysis of the bacteria residing in heroin has thus been biased towards species that affect human health. Similarly, exploration of the bacterial diversity of seized street market heroin correlated with the skin microflora of recreational heroin users insofar as different Staphylococus spp. or typical environmental endospore formers including Bacillus cereus and other Bacilli outside the B. cereus sensu lato group as well as diverse Clostridia were identified. In this work 82 samples of non-street market (“wholesale”) heroin originating from the German Federal Criminal Police Office’s heroin analysis program seized during the period between 2009 and 2014 were analyzed for contaminating bacteria. Without contact with the end user and with only little contaminations introduced by final processing, adulteration and cutting this heroin likely harbors original microbiota from the drug’s original source or trafficking route. We found this drug to be only sparsely populated with retrievable heterotrophic, aerobic bacteria. In total, 68 isolates were retrieved from 49 out of 82 samples analyzed (60% culture positive). All isolates were endospore-forming, Gram-positive Bacilli. Completely absent were non-endospore-formers or Gram-negatives. The three most predominant species were Bacillus clausii , Bacillus ( para ) licheniformis , and Terribacillus saccharophilus . Whole genome sequencing of these 68 isolates was performed using Illumina technology. Sequence data sets were assembled and annotated using an automated bioinformatics pipeline. Average nucleotide identity (ANI) values were calculated for all draft genomes and all close to identical genomes (ANI > 99.5%) were compared to the forensic data of the seized drug, showing positive correlations that strongly warrant further research on this subject. [ABSTRACT FROM AUTHOR]

The GenBank/EMBL/DDBJ accession numbers of the 16S rRNA gene sequence and the genome sequence of strain THAF100T are MG996653 and CP045350-CP045353, respectively. The complete genome sequences of strain THAF100T is deposited and available at the Sequence Read Archive (SRA) repository under the BioProject PRJNA547984 with the bio sample accession number SAMN11996127. The aim of the study was to characterise the diversity and niche-specific colonization of Vibrio spp. in a marine aquaria system by a cultivation-dependent approach. A total of 53 Vibrio spp. isolates were cultured from different ecological niches in a marine aquarium including microplastic (MP) and sandy sediment particles (12 weeks after added sterile to the system), detritus, and the surrounding aquarium water. Based on the 16S rRNA gene sequence phylogeny and multilocus sequence analysis (MLSA) the isolates were assigned to seven different phylotypes. Six phylotypes were identified by high probability to the species level. The highest phylotype diversity was cultured from detritus and water (six out of seven phylotypes), while only two phylotypes were cultured from MP and sediment particles. Genomic fingerprinting indicated an even higher genetic diversity of Vibrio spp. at the strain (genotype) level. Again, the highest diversity of genotypes was recovered from detritus and water while only few partially particle-type specific genotypes were cultured from MP and sediment particles. Phylotype V-2 formed an independent branch in the MLSA tree and could not be assigned to a described Vibrio species. Isolates of this phylotype showed highest 16S rRNA gene sequence similarity to type strains of Vibrio japonicus (98.5%) and Vibrio caribbeanicus (98.4%). A representative isolate, strain THAF100T, was characterised by a polyphasic taxonomic approach and Vibrio aquimaris sp. nov., with strain THAF100T (=DSM 109633T = LMG 31434T = CIP 111709T) as type strain, is proposed as novel species. [ABSTRACT FROM AUTHOR]

Analyzing cryptocurrency payment flows has become a key forensic method in law enforcement and is nowadays used to investigate a wide spectrum of criminal activities. However, despite its widespread adoption, the evidential value of obtained findings in court is still largely unclear. In this paper, we focus on the key ingredients of modern cryptocurrency analytics techniques, which are clustering heuristics and attribution tags. We identify internationally accepted standards and rules for substantiating suspicions and providing evidence in court and project them onto current cryptocurrency forensics practices. By providing an empirical analysis of CoinJoin transactions, we illustrate possible sources of misinterpretation in algorithmic clustering heuristics. Eventually, we derive a set of legal key requirements and translate them into a technical data sharing framework that fosters compliance with existing legal and technical standards in the realm of cryptocurrency forensics. Integrating the proposed framework in modern cryptocurrency analytics tools could allow more efficient and effective investigations, while safeguarding the evidential value of the analysis and the fundamental rights of affected persons. • Analyzing cryptocurrency payment flows has become a key forensic method in law enforcement. • The evidential value of obtained findings in court is still largely unclear. • We discuss commonly used methods in cryptocurrency investigations in the light of internationally accepted legal standards. • Furthermore, we translate the findings into a data sharing framework to safeguard the evidential value of the findings. [ABSTRACT FROM AUTHOR]