AMON: annotation of metabolite origins via networks to integrate microbiome and metabolome data.

BACKGROUND: Untargeted metabolomics of host-associated samples has yielded insights into mechanisms by which microbes modulate health. However, data interpretation is challenged by the complexity of origins of the small molecules measured, which can come from the host, microbes that live within the host, or from other exposures such as diet or the environment. RESULTS: We address this challenge through development of AMON: Annotation of Metabolite Origins via Networks. AMON is an open-source bioinformatics application that can be used to annotate which compounds in the metabolome could have been produced by bacteria present or the host, to evaluate pathway enrichment of host verses microbial metabolites, and to visualize which compounds may have been produced by host versus microbial enzymes in KEGG pathway maps. CONCLUSIONS: AMON empowers researchers to predict origins of metabolites via genomic information and to visualize potential host:microbe interplay. Additionally, the evaluation of enrichment of pathway metabolites of host versus microbial origin gives insight into the metabolic functionality that a microbial community adds to a host:microbe system. Through integrated analysis of microbiome and metabolome data, mechanistic relationships between microbial communities and host phenotypes can be better understood.

Associations between acute gastrointestinal GvHD and the baseline gut microbiota of allogeneic hematopoietic stem cell transplant recipients and donors.

Growing evidence suggests that host-microbiota interactions influence GvHD risk following allogeneic hematopoietic stem cell transplant. However, little is known about the influence of the transplant recipient's pre-conditioning microbiota nor the influence of the transplant donor's microbiota. Our study examines associations between acute gastrointestinal GvHD (agGvHD) and 16S rRNA fecal bacterial profiles in a prospective cohort of N=57 recipients before preparative conditioning, as well as N=22 of their paired HLA-matched sibling donors. On average, recipients had lower fecal bacterial diversity (P=0.0002) and different phylogenetic membership (UniFrac P=0.001) than the healthy transplant donors. Recipients with lower phylogenetic diversity had higher overall mortality rates (hazard ratio=0.37, P=0.008), but no statistically significant difference in agGvHD risk. In contrast, high bacterial donor diversity was associated with decreased agGvHD risk (odds ratio=0.12, P=0.038). Further investigation is warranted as to whether selection of hematopoietic stem cell transplant donors with high gut microbiota diversity and/or other specific compositional attributes may reduce agGvHD incidence, and by what mechanisms.

Complexities of Gut Microbiome Dysbiosis in the Context of HIV Infection and Antiretroviral Therapy.

Human immunodeficiency virus (HIV) infection is associated with an altered gut microbiome that is not consistently restored with effective antiretroviral therapy (ART). Interpretation of the specific microbiome changes observed during HIV infection is complicated by factors like population, sample type, and ART-each of which may have dramatic effects on gut bacteria. Understanding how these factors shape the microbiome during HIV infection (which we refer to as the HIV-associated microbiome) is critical for defining its role in HIV disease, and for developing therapies that restore gut health during infection.

Molecular and cultural assessment of chytrid and Spizellomyces populations in grassland soils.

We developed a molecular method for the detection and quantification of members of the genus Spizellomyces in the environment and used this technique, together with traditional cultural techniques, to measure the effects of cultivation and nitrogen availability on Spizellomyces populations in grassland soils. Primer sets specific for Spizellomyces acuminatus and S. kniepii were developed by sequencing internal transcribed spacer 2 (ITS2) of the gene encoding ribosomal RNA for 9 isolates within the genus Spizellomyces, 5 representatives of different genera within the order Spizellomycetales and one member of the order Chytridiales. These primers were used with fungal-specific primers in a nested PCR approach to generate a specific molecular signal for S. acuminatus and S. kneipii in a soil from which S. acuminatus had previously been recovered. Using MPN-PCR (a quantitative molecular technique) and traditional cultural techniques, we found that chytridiomycetous fungi, including members of the genus Spizellomyces, are abundant in the grassland ecosystems studied. No significant differences in occurrence were observed between native and disturbed control soils but it appeared in 2 separate MPN assays and one MPN-PCR assay that chytrid populations increased in response to disturbance. No significant differences in chytrid or Spizellomyces populations were observed with variations in nitrogen availability. The primer sets and protocols developed in this study worked well to complement traditional cultural data to better assess Spizellomyces populations in the environment. These molecular approaches should provide a foundation for further work with these interesting and oft neglected fungi.

The molecular basis of nuclear genetic code change in ciliates.

BACKGROUND: The nuclear genetic code has changed in several lineages of ciliates. These changes, UAR to glutamine and UGA to cysteine, imply that eukaryotic release factor 1 (eRF1), the protein that recognizes stop codons and terminates translation, changes specificity. Here we test whether changes in eRF1 drive genetic code evolution. RESULTS: Database sequence analysis reveals numerous genetic code alterations in ciliates, including UGA --> tryptophan in Blepharisma americanum and the distantly related Colpoda. We sequenced eRF1 from four ciliates: B. americanum, a heterotrich that independently derived the same eRF1 specificity as Euplotes, and three spirotrichs, Stylonychia lemnae, S. mytilus, and Oxytricha trifallax, that independently derived the same genetic code as Tetrahymena (UAR --> glutamine). Distantly related ciliates with similar codes show characteristic changes in eRF1. We used a sliding window analysis to test associations between changes in specific eRF1 residues and changes in the genetic code. The regions of eRF1 that display convergent substitutions are identical to those identified in a recently reported nonsense suppression mutant screen in yeast. CONCLUSIONS: Genetic code change by stop codon reassignment is surprisingly frequent in ciliates, with UGA --> tryptophan occurring twice independently. This is the first description of this code, previously found only in bacteria and mitochondria, in a eukaryotic nuclear genome. eRF1 has evolved strikingly convergently in lineages with variant genetic codes. The strong concordance with biochemical data indicates that our methodology may be generally useful for detecting molecular determinants of biochemical changes in evolution.