The binding site of the RNA-dependent protein kinase (PKR) on EBER1 RNA from Epstein–Barr virus

The RNA-dependent protein kinase (PKR) is an interferon-induced, RNA-activated enzyme that phosphorylates the eukaryotic initiation factor 2α, rendering the translation machinery inactive. Viruses have developed strategies for preventing the action of PKR, one of which is the production of small RNAs that inhibit the enzyme. Epstein–Barr virus (EBV) encodes EBER1, a 167 nucleotide non-coding RNA that is constitutively expressed by the EBV-infected cells. EBER1 binds PKR in vitro and has been shown to prevent inhibition of translation by PKR in vitro. We used affinity cleavage by the EDTA·Fe-modified double-stranded RNA-binding domain (dsRBD) of PKR to show that stem–loop IV (nucleotides 87–123) of EBER1 makes specific contacts with the dsRBD. To further demonstrate the specificity of this interaction, we generated a deletion mutant of EBER1, comprising only stem–loop IV (mEBER1). Cleavage patterns produced on mEBER1 by the bound dsRBD were remarkably similar to those found on full-length EBER1. Using cleavage data from two different dsRBD mutants, we present a model of the interaction of PKR dsRBD and mEBER1

An accurate aging clock developed from large-scale gut microbiome and human gene expression data

Summary: Accurate measurement of the biological markers of the aging process could provide an “aging clock” measuring predicted longevity and enable the quantification of the effects of specific lifestyle choices on healthy aging. Using machine learning techniques, we demonstrate that chronological age can be predicted accurately from (1) the expression level of human genes in capillary blood and (2) the expression level of microbial genes in stool samples. The latter uses a very large metatranscriptomic dataset, stool samples from 90,303 individuals, which arguably results in a higher quality microbiome-aging model than prior work. Our analysis suggests associations between biological age and lifestyle/health factors, e.g., people on a paleo diet or with IBS tend to have higher model-predicted ages and people on a vegetarian diet tend to have lower model-predicted ages. We delineate the key pathways of systems-level biological decline based on the age-specific features of our model

A clinically validated human saliva metatranscriptomic test for global systems biology studies

The authors report here the development of a high-throughput, automated, inexpensive and clinically validated saliva metatranscriptome test that requires less than 100 μl of saliva. RNA is preserved at the time of sample collection, allowing for ambient-temperature transportation and storage for up to 28 days. Critically, the RNA preservative is also able to inactivate pathogenic microorganisms, rendering the samples noninfectious and allowing for safe and easy shipping. Given the unique set of convenience, low cost, safety and technical performance, this saliva metatranscriptomic test can be integrated into longitudinal, global-scale systems biology studies that will lead to an accelerated development of precision medicine, diagnostic and therapeutic tools

A robust metatranscriptomic technology for population-scale studies of diet, gut microbiome, and human health

The gut microbiome plays a major role in many chronic diseases. It is the only “organ” in our body whose function can easily be manipulated by our diet and lifestyle. Using personalized nutrition should enable precise control of the gut microbiome’s functions that support human health and prevent chronic diseases. Without a functional readout of the gut microbiome, however, personalized nutrition cannot be realized. Stool metatranscriptomic analysis offers a comprehensive functional view of the gut microbiome. Despite its usefulness, metatranscriptomics has seen very limited use in clinical studies due to its complexity, cost, and bioinformatic challenges associated with both microbial taxonomy and functions. This method has also received some criticism due to potential intra-sample variability, rapid changes, and RNA degradation. Here, we describe a robust and automated stool metatranscriptomic method, Viomega. This method was specifically developed for population-scale studies on the effects of gut microbiome on human health and disease, with the goal to develop personalized nutrition algorithms. Viomega includes sample collection, ambient temperature sample preservation, total RNA extraction, physical removal of ribosomal RNAs (rRNAs), preparation of directional Illumina libraries, Illumina sequencing, taxonomic classification based on a database of >110,000 microbial genomes, and quantitative microbial gene expression analysis using a database of ~100 million microbial genes. In this report, we demonstrate the robustness of Viomega technology. We also applied the method to 10,000 human stool samples and report the taxonomic and functional data. Finally, we performed several small clinical studies to demonstrate the connections between diet and the gut metatranscriptome

California condor microbiomes: Bacterial variety and functional properties in captive-bred individuals.

Around the world, scavenging birds such as vultures and condors have been experiencing drastic population declines. Scavenging birds have a distinct digestive process to deal with higher amounts of bacteria in their primary diet of carcasses in varying levels of decay. These observations motivate us to present an analysis of captive and healthy California condor (Gymnogyps californianus) microbiomes to characterize a population raised together under similar conditions. Shotgun metagenomic DNA sequences were analyzed from fecal and cloacal samples of captive birds. Classification of shotgun DNA sequence data with peptide signatures using the Sequedex package provided both phylogenetic and functional profiles, as well as individually annotated reads for targeted confirmatory analysis. We observed bacterial species previously associated with birds and gut microbiomes, including both virulent and opportunistic pathogens such as Clostridium perfringens, Propionibacterium acnes, Shigella flexneri, and Fusobacterium mortiferum, common flora such as Lactobacillus johnsonii, Lactobacillus ruminus, and Bacteroides vulgatus, and mucosal microbes such as Delftia acidovorans, Stenotrophomonas maltophilia, and Corynebacterium falsnii. Classification using shotgun metagenomic reads from phylogenetic marker genes was consistent with, and more specific than, analysis based on 16S rDNA data. Classification of samples based on either phylogenetic or functional profiles of genomic fragments differentiated three types of samples: fecal, mature cloacal and immature cloacal, with immature birds having approximately 40% higher diversity of microbes

Correction: California condor microbiomes: Bacterial variety and functional properties in captive-bred individuals.

[This corrects the article DOI: 10.1371/journal.pone.0225858.]