Mitigating global infectious disease requires diagnostic tools that are sensitive, specific, and rapidly field-deployable. Here, we demonstrate that the Cas13-based SHERLOCK (Specific High Sensitivity Enzymatic Reporter UnLOCKing) platform can detect Zika virus (ZIKV) and dengue virus (DENV) in patient samples at concentrations down to 1 copy/μl. We develop HUDSON (Heating Unextracted Diagnostic Samples to Obliterate Nucleases), a protocol that pairs with SHERLOCK for viral detection directly from bodily fluids, enabling instrument-free DENV detection directly from patient samples in < 2 hours. We further demonstrate that SHERLOCK can distinguish the 4 DENV serotypes as well as region-specific strains of ZIKV from the 2015–2016 pandemic. Finally, we report the rapid design and testing (<1 week) of instrument-free assays to detect clinically relevant viral single nucleotide polymorphisms.

How viruses evolve within hosts can dictate infection outcomes; however, reconstructing this process is challenging. We evaluate our multiplexed amplicon approach, PrimalSeq, to demonstrate how virus concentration, sequencing coverage, primer mismatches, and replicates influence the accuracy of measuring intrahost virus diversity. We develop an experimental protocol and computational tool, iVar, for using PrimalSeq to measure virus diversity using Illumina and compare the results to Oxford Nanopore sequencing. We demonstrate the utility of PrimalSeq by measuring Zika and West Nile virus diversity from varied sample types and show that the accumulation of genetic diversity is influenced by experimental and biological systems.Electronic supplementary materialThe online version of this article (10.1186/s13059-018-1618-7) contains supplementary material, which is available to authorized users.

To understand the effect of human MHC class II polymorphism on antigen recognition, we analyzed the memory T cell response to three tetanus toxin epitopes defined by three short synthetic peptides (p2, p4 and p30). We found that p2 and p30 are universally immunogenic, since they are recognized by all primed donors, irrespective of their MHC haplotypes. The analysis of specific clones indicates that both peptides are very promiscuous in their capacity to bind to class II. p30 can be recognized in association with DRw11(5), 7, 9 and with DPw2 and DPw4, while p2 can be recognized in association with DR1, DRw15(2), DRw18 (3), DR4Dw4, DRw11(5), DRw13(w6), DR7, DRw8, DR9, DRw52a and DRw52b. On the contrary, the third peptide, p4, can be recognized by only half of the donors in association with only DRw52a and DRw52c. Analysis of truncated peptides shows that p30 contains three distinct epitopes, each recognized in association with different class II molecules. Therefore, the restriction specificity is already set at the level of the peptide-MHC complex and, in all cases, T cells discriminate p30 bound to different class II molecules. On the contrary, p2 contains only one epitope, which is recognized in association with all DR molecules. In this case we found two different restriction patterns. Some clones are monogamous, since they recognize the peptide in association with one DR allele, while others are promiscuous, since they recognize by peptide in association with several different DR molecules. Thus, in this case, the restriction specificity is also set at the level of the T cell receptor. We suggest that both the promiscuous binding of peptides and the promiscuous recognition by T cells are dependent on the particular structure of the DR molecules, having a monomorphic alpha chain associated with a polymorphic beta chain.

How viruses evolve within hosts can dictate infection outcomes; however, reconstructing this process is challenging. We evaluated our multiplexed amplicon approach PrimalSeq to demonstrate how virus concentration, sequencing coverage, primer mismatches, and replicates influence the accuracy of measuring intrahost virus diversity. We developed an experimental protocol and computational tool (iVar) for using PrimalSeq to measure virus diversity using Illumina and compared the results to Oxford Nanopore sequencing. We demonstrate the utility of PrimalSeq by measuring Zika and West Nile virus diversity from varied sample types and show that the accumulation of genetic diversity is influenced by experimental and biological systems.

Although the recent Zika virus (ZIKV) epidemic in the Americas and its link to birth defects have attracted a great deal of attention1,2, much remains unknown about ZIKV disease epidemiology and ZIKV evolution, in part owing to a lack of genomic data. Here we address this gap in knowledge by using multiple sequencing approaches to generate 110 ZIKV genomes from clinical and mosquito samples from 10 countries and territories, greatly expanding the observed viral genetic diversity from this outbreak. We analysed the timing and patterns of introductions into distinct geographic regions; our phylogenetic evidence suggests rapid expansion of the outbreak in Brazil and multiple introductions of outbreak strains into Puerto Rico, Honduras, Colombia, other Caribbean islands, and the continental United States. We find that ZIKV circulated undetected in multiple regions for many months before the first locally transmitted cases were confirmed, highlighting the importance of surveillance of viral infections. We identify mutations with possible functional implications for ZIKV biology and pathogenesis, as well as those that might be relevant to the effectiveness of diagnostic tests.