Human immunodeficiency virus-1 (HIV-1) is a retrovirus with a 10-kb single-stranded RNA genome. HIV-1 must express all of its gene products from the same primary transcript, which undergoes alternative splicing to produce diverse protein products, including structural proteins and regulatory factors 1 , 2 . Despite the critical role of alternative splicing, the mechanisms driving splice-site choice are poorly understood. Synonymous RNA mutations that lead to severe defects in splicing and viral replication indicate the presence of unknown cis-regulatory elements 3 . We use DMS-MaPseq to probe the structure of HIV-1 RNA in cells and develop an algorithm called D etection of R NA folding E nsembles using E xpectation- M aximization (DREEM), which reveals alternative conformations assumed by the same RNA sequence. Contrary to previous models, which analyzed population averages 4 , our results reveal the widespread heterogeneous nature of HIV-1 RNA structure. In addition to confirming that in vitro characterized alternative structures for the HIV-1 Rev Responsive Element (RRE) exist in cells, we discover alternative conformations at critical splice sites that influence the ratio of transcript isoforms. Our simultaneous measurement of splicing and intracellular RNA structure provides evidence for the long-standing hypothesis 5 – 7 that RNA conformation heterogeneity regulates splice site usage and viral gene expression.

Global genome analysis reveals a vast and dynamic anellovirus landscape within the human virome Graphical abstract Highlights d Anellovirus genomes assembled from longitudinal bloodtransfusion cohorts d Co-infections are common, with a median of six anellovirus lineages per subject d Transmitted anellovirus lineages were observed up to 260 days post-transfusion d Recombination is a key driver in anellovirus genomic diversification

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The significant impact of the human virome on human physiology is beginning to emerge thanks to modern sequencing methods and bioinformatic tools. Anelloviruses, the principal constituent of the commensal human virome, are universally acquired in infancy and found throughout the body. Since the discovery of the original torque teno virus in 1997, three genera of the Anelloviridae family, each extremely diverse genetically, have been found in humans. These viruses elicit weak immune responses that permit multiple strains to co-exist and persist for years in a typical individual. However, because they do not cause disease and due to the lack of an in vitro culture system, anelloviruses remain poorly understood. Basic features of the virus, such as the identity of its structural protein, have been unclear until now. Here, we describe the first structure of an anellovirus particle, which includes a jelly roll domain that forms a 60-mer icosahedral particle core from which spike domains extend to form a salient part of the particle surface. The spike domains come together around the 5-fold symmetry axes to form crown-like features. Relatively conserved patches of amino acids are near the base of the spike domain while a hypervariable region is at the apex. We propose that this structure renders the particle less susceptible to antibody neutralization by hiding vulnerable conserved epitopes while exposing highly diverse epitopes as immunological decoys, thereby contributing to the immune evasion properties of anelloviruses. This would contrast with viruses such as beak and feather disease virus, canine parvovirus or adeno-associated virus which lack such pronounced surface features. These results shed light on the structure of anelloviruses and provide a framework to understand their interactions with the immune system.

In forensic DNA interpretation, the likelihood ratio (LR) is often used to convey the strength of a match. Expanding on binary and semi-continuous methods that do not use all of the quantitative data contained in an electropherogram, fully continuous methods to calculate the LR have been created. These fully continuous methods utilize all of the information captured in the electropherogram, including the peak heights. Recently, methods that calculate the distribution of the LR using semi-continuous methods have also been developed. The LR distribution has been proposed as a way of studying the robustness of the LR, which varies depending on the probabilistic model used for its calculation. For example, the LR distribution can be used to calculate the p-value, which is the probability that a randomly chosen individual results in a LR greater than the LR obtained from the person-of-interest (POI). Hence, the p-value is a statistic that is different from, but related to, the LR; and it may be interpreted as the false positive rate resulting from a binary hypothesis test between the prosecution and defense hypotheses. Here, we present CEESIt, a method that combines the twin features of a fully continuous model to calculate the LR and its distribution, conditioned on the defense hypothesis, along with an associated p-value. CEESIt incorporates dropout, noise and stutter (reverse and forward) in its calculation. As calibration data, CEESIt uses single source samples with known genotypes and calculates a LR for a specified POI on a question sample, along with the LR distribution and a p-value. The method was tested on 303 files representing 1-, 2- and 3-person samples injected using three injection times containing between 0.016 and 1 ng of template DNA. Our data allows us to evaluate changes in the LR and p-value with respect to the complexity of the sample and to facilitate discussions regarding complex DNA mixture interpretation. We observed that the amount of template DNA from the contributor impacted the LR--small LRs resulted from contributors with low template masses. Moreover, as expected, we observed a decrease of p-values as the LR increased. A p-value of 10(-9) or lower was achieved in all the cases where the LR was greater than 10(8). We tested the repeatability of CEESIt by running all samples in duplicate and found the results to be repeatable.