Wastewater surveillance for bacterial targets: current challenges and future goals

Wastewater-based epidemiology (WBE) expanded rapidly in response to the COVID-19 pandemic. As the public health emergency has ended, researchers and practitioners are looking to shift the focus of existing wastewater surveillance programs to other targets, including bacteria. Bacterial targets may pose some unique challenges for WBE applications. To explore the current state of the field, the National Science Foundation-funded Research Coordination Network (RCN) on Wastewater Based Epidemiology for SARS-CoV-2 and Emerging Public Health Threats held a workshop in April 2023 to discuss the challenges and needs for wastewater bacterial surveillance. The targets and methods used in existing programs were diverse, with twelve differentdifferentdifferenttargets and nine different methods listed. Discussions during the workshop highlighted the challenges in adapting existing programs and identified research gaps in four key areas: choosing new targets, relating bacterial wastewater data to human disease incidence and prevalence, developing methods, and normalizing results. To help with these challenges and research gaps, the authors identified steps the larger community can take to improve bacteria wastewater surveillance. This includes developing data reporting standards and method optimization and validation for bacterial programs. Additionally, more work is needed to understand shedding patterns for potential bacterial targets to better relate wastewater data to human infections. Wastewater surveillance for bacteria can help provide insight into the underlying prevalence in communities, but much work is needed to establish these methods

Rapidly mutating Y-STR analyses of compromised forensic samples

Rapidly mutating Y-chromosomal short tandem repeats (RM Y-STRs) were identified to improve differentiation of unrelated males and also to enable separating closely and distantly related males in human identity testing in forensic and other applications. RM-Yplex assay was developed as a single multiplex that is capable of simultaneously amplifying all currently known RM Y-STRs, and reproducibility and sensitivity testing were performed on reference samples. Additional analyses are necessary to test its suitability for analysing compromised forensic samples. For this purpose, we applied the RM-Yplex assay to approximately 70-year-old skeletons that were used as a model for poorly preserved, challenging forensic samples. We analysed 57 male skeletal remains (bones and teeth) from 55 skeletons excavated from the Second World War (WWII) mass graves in Slovenia. The RM-Yplex typing was successful in all 57 samples; there were 56% full profiles obtained, and in partial profiles, up to 7 locus drop-outs were observed and they appeared correlated with low DNA quantities and degradation of DNA obtained from WWII bone and tooth samples. The longest loci, DYS403S1b, DYS547, DYS627 and DYS526b, were the most often dropped-out RM Y-STRs. In spite of high frequency of drop-out events, the RM-Yplex typing was successful in all WWII samples, showing the possibility of successful amplification of at least half of the RM Y-STRs even from the most compromised samples analysed

STRmix™ collaborative exercise on DNA mixture interpretation.

An intra and inter-laboratory study using the probabilistic genotyping (PG) software STRmix™ is reported. Two complex mixtures from the PROVEDIt set, analysed on an Applied Biosystems™ 3500 Series Genetic Analyzer, were selected. 174 participants responded. For Sample 1 (low template, in the order of 200 rfu for major contributors) five participants described the comparison as inconclusive with respect to the POI or excluded him. Where LRs were assigned, the point estimates ranging from 2 × 10 <sup>4</sup> to 8 × 10 <sup>6</sup> . For Sample 2 (in the order of 2000 rfu for major contributors), LRs ranged from 2 × 10 <sup>28</sup> to 2 × 10 <sup>29</sup> . Where LRs were calculated, the differences between participants can be attributed to (from largest to smallest impact): This study demonstrates a high level of repeatability and reproducibility among the participants. For those results that differed from the mode, the differences in LR were almost always minor or conservative

STRmix™ collaborative exercise on DNA mixture interpretation

An intra and inter-laboratory study using the probabilistic genotyping (PG) software STRmix™ is reported. Two complex mixtures from the PROVEDIt set, analysed on an Applied Biosystems™ 3500 Series Genetic Analyzer, were selected. 174 participants responded. For Sample 1 (low template, in the order of 200 rfu for major contributors) five participants described the comparison as inconclusive with respect to the POI or excluded him. Where LRs were assigned, the point estimates ranging from 2 × 10 <sup>4</sup> to 8 × 10 <sup>6</sup> . For Sample 2 (in the order of 2000 rfu for major contributors), LRs ranged from 2 × 10 <sup>28</sup> to 2 × 10 <sup>29</sup> . Where LRs were calculated, the differences between participants can be attributed to (from largest to smallest impact): This study demonstrates a high level of repeatability and reproducibility among the participants. For those results that differed from the mode, the differences in LR were almost always minor or conservative