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Yellow leaf disease caused by sugarcane yellow leaf virus (SCYLV) is one of the most prevalent diseases worldwide. In this study, six near-complete genome sequences of SCYLV were determined to be 5775–5881 bp in length. Phylogenetic analysis revealed that the two SCYLV isolates from Réunion Island, France, and four from China were clustered into REU and CUB genotypes, respectively, based on 50 genomic sequences (this study = 6, GenBank = 44). Meanwhile, all 50 isolates were clustered into three phylogroups (G1–G3). Twelve significant recombinant events occurred in intra- and inter-phylogroups between geographical origins and host crops. Most recombinant hotspots were distributed in coat protein read-through protein (RTD), followed by ORF0 (P0) and ORF1 (P1). High genetic divergences of 12.4% for genomic sequences and 6.0–24.9% for individual genes were determined at nucleotide levels. The highest nucleotide diversity (π) was found in P0, followed by P1 and RdRP. In addition, purifying selection was a main factor restricting variability in SCYLV populations. Infrequent gene flow between Africa and the two subpopulations (Asia and America) were found, whereas frequent gene flow between Asia and America subpopulations was observed. Taken together, our findings facilitate understanding of genetic diversity and evolutionary dynamics of SCYLV.

Despite full immunoprophylaxis, mother-to-child transmission (MTCT) of Hepatitis B Virus still occurs in approximately 2–5% of HBsAg positive mothers. Little is known about the bottleneck of HBV transmission and the evolution of viral quasispecies in the context of MTCT. Here we adopted a newly developed tag linkage deep sequencing method and analyzed the quasispecies of four MTCT pairs that broke through immunoprophylaxis. By assigning unique tags to individual viral sequences, we accurately reconstructed HBV haplotypes in a region of 836 bp, which contains the major immune epitopes and drug resistance mutations. The detection limit of minor viral haplotypes reached 0.1% for individual patient sample. Dominance of “a determinant” polymorphisms were observed in two children, which pre-existed as minor quasispecies in maternal samples. In all four pairs of MTCT samples, we consistently observed a significant overlap of viral haplotypes shared between mother and child. We also demonstrate that the data can be potentially useful to estimate the bottleneck effect during HBV MTCT, which provides information to optimize treatment for reducing the frequency of MTCT.

There has been considerable debate as to whether obesity can act as an accelerator of type 1 diabetes (T1D). We assessed this possibility using transgenic mice (MIP-TF mice) whose ß-cells express enhanced green fluorescent protein (EGFP). Infecting these mice with EGFP-expressing murine herpes virus-68 (MHV68-EGFP) caused occasional transient elevation in their blood glucose, peri-insulitis, and Th1 responses to EGFP which did not spread to other ß-cell antigens. We hypothesized that obesity-related systemic inflammation and ß-cell stress could exacerbate the MHV68-EGFP-induced ß-cell autoreactivity. We crossed MIP-TF mice with Avy mice which develop obesity and provide models of metabolic disease alongside early stage T2D. Unlike their MIP-TF littermates, MHV68-EGFP–infected Avy/MIP-TF mice developed moderate intra-insulitis and transient hyperglycemia. MHV68-EGFP infection induced a more pronounced intra-insulitis in older, more obese, Avy/MIP-TF mice. Moreover, in MHV68-EGFP-infected Avy/MIP-TF mice, Th1 reactivity spread from EGFP to other ß-cell antigens. Thus, the spreading of autoreactivity among ß-cell antigens corresponded with the transition from peri-insulitis to intra-insulitis and occurred in obese Avy/MIP-TF mice but not lean MIP-TF mice. These observations are consistent with the notion that obesity-associated systemic inflammation and ß-cell stress lowers the threshold necessary for T cell autoreactivity to spread from EGFP to other ß-cell autoantigens.

Elizabethkingia species are ubiquitous bacteria that uncommonly cause human infection. Elizabethkingia anophelis was first identified in 2011 from the mosquito Anopheles gambiae. The currently available bacterial typing systems vary greatly with respect to labour, cost, reliability, and ability to discriminate among bacterial strains. Polymerase chain reaction (PCR)-based fingerprinting using random amplified polymorphic DNA (RAPD) is commonly used to identify genetic markers. To our knowledge, no system coupling RAPD-PCR and capillary gel electrophoresis (CGE) has been utilized for the epidemiological typing of E. anophelis. Thus, the aim of the present study was to establish a reliable and reproducible molecular typing technique for E. anophelis isolates based on a multi-centre assessment of bacteraemia patients. Here, we used a rapid CGE-light-emitting diode-induced fluorescence (LEDIF)-based method in conjunction with RAPD-PCR to genotype E. anophelis with a high level of discrimination. All clinical isolates of E. anophelis were found to be typeable, and isolates from two hospitals formed two distinct clusters. The results demonstrated the potential of coupling RAPD and CGE as a rapid and efficient molecular typing tool, providing a reliable method for surveillance and epidemiological investigations of bacterial infections. The proposed method shows promise as a novel, cost-effective, high-throughput, first-pass typing method.

Viruses rely on host chaperone network to support their infection. In particular, the endoplasmic reticulum (ER) resident chaperones play key roles in synthesizing and processing viral proteins. Influx of a large amount of foreign proteins exhausts the folding capacity in ER and triggers the unfolded protein response (UPR). A fully-executed UPR comprises signaling pathways that induce ER folding chaperones, increase protein degradation, block new protein synthesis and may eventually activate apoptosis, presenting both opportunities and threats to the virus. Here, we define a role of the MHV-68M1 gene in differential modulation of UPR pathways to enhance ER chaperone production. Ectopic expression of M1 markedly induces ER chaperone genes and expansion of ER. The M1 protein accumulates in ER during infection and this localization is indispensable for its function, suggesting M1 acts from the ER. We found that M1 protein selectively induces the chaperon-producing pathways (IRE1, ATF6) while, interestingly, sparing the translation-blocking arm (PERK). We identified, for the first time, a viral factor capable of selectively intervening the initiation of ER stress signaling to induce chaperon production. This finding provides a unique opportunity of using viral protein as a tool to define the activation mechanisms of individual UPR pathways.

Genetic research on influenza virus biology has been informed in large part by nucleotide variants present in seasonal or pandemic samples, or individual mutants generated in the laboratory, leaving a substantial part of the genome uncharacterized. Here, we have developed a single-nucleotide resolution genetic approach to interrogate the fitness effect of point mutations in 98% of the amino acid positions in the influenza A virus hemagglutinin (HA) gene. Our HA fitness map provides a reference to identify indispensable regions to aid in drug and vaccine design as targeting these regions will increase the genetic barrier for the emergence of escape mutations. This study offers a new platform for studying genome dynamics, structure-function relationships, virus-host interactions and can further rational drug and vaccine design. Our approach can also be applied to any virus that can be genetically manipulated.

Computational microscopy tools, in particular lensfree on-chip imaging, provide a large field-of-view along with a long depth-of-field, which makes it feasible to rapidly analyze large volumes of specimen using a compact and light-weight on-chip imaging architecture. To bring molecular specificity to this high-throughput platform, here we demonstrate the use of plasmon-resonant metallic nanoparticles to automatically recognize different cell types based on their plasmon-enhanced lensfree holograms, detected and reconstructed over a large field-of-view of e.g., ~24 mm².