A Systems Biology Approach Investigating the Effect of Probiotics on the Vaginal Microbiome and Host Responses in a Double Blind,Placebo-Controlled Clinical Trial of Post-Menopausal Women

A lactobacilli dominated microbiota in most pre and post-menopausal women is an indicator of vaginal health. The objective of this double blinded, placebo-controlled crossover study was to evaluate in 14 post-menopausal women with an intermediate Nugent score, the effect of 3 days of vaginal administration of probiotic L. rhamnosus GR-1 and L. reuteri RC-14 (2.5×10⁹ CFU each) on the microbiota and host response. The probiotic treatment did not result in an improved Nugent score when compared to when placebo. Analysis using 16S rRNA sequencing and metabolomics profiling revealed that the relative abundance of Lactobacillus was increased following probiotic administration as compared to placebo, which was weakly associated with an increase in lactate levels. A decrease in Atopobium was also observed. Analysis of host responses by microarray showed the probiotics had an immune-modulatory response including effects on pattern recognition receptors such as TLR2 while also affecting epithelial barrier function. This is the first study to use an interactomic approach for the study of vaginal probiotic administration in post-menopausal women. It shows that in some cases multifaceted approaches are required to detect the subtle molecular changes induced by the host to instillation of probiotic strains.

Trial Registration

ClinicalTrials.gov NCT02139839     

Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient

One of the major challenges in ecology is to understand how ecosystems respond to changes in environmental conditions, and how taxonomic and functional diversity mediate these changes. In this study, we use a trait‐spectra and individual‐based model, to analyse variation in forest primary productivity along a 3.3 km elevation gradient in the Amazon‐Andes. The model accurately predicted the magnitude and trends in forest productivity with elevation, with solar radiation and plant functional traits (leaf dry mass per area, leaf nitrogen and phosphorus concentration, and wood density) collectively accounting for productivity variation. Remarkably, explicit representation of temperature variation with elevation was not required to achieve accurate predictions of forest productivity, as trait variation driven by species turnover appears to capture the effect of temperature. Our semi‐mechanistic model suggests that spatial variation in traits can potentially be used to estimate spatial variation in productivity at the landscape scale.     

Identification of types and primary sites of malignant tumors by examination of exfoliated tumor cells in serous fluids. Comparison with the diagnostic accuracy on small histologic biopsies

The accuracy of identification of tumor type and primary site of malignant tumors by examination of exfoliated tumor cells was cytologically studied in 448 malignant effusions from 366 patients for whom the primary tumor site had been confirmed by histology. Ninety-seven corresponding small biopsies from metastases were separately reviewed histopathologically. In four fluids, the cells were too scanty or too poorly preserved for tumor typing. The cytologic tumor typing was performed with nearly 100% accuracy in the remaining 444 fluids, except for those of intermediate-cell anaplastic carcinomas (0 of 3) and poorly differentiated squamous (epidermoid) carcinomas (1 of 5). Adenocarcinoma was correctly identified in 98% of 285 fluids, large-cell carcinoma in 97% of 108 fluids, oat-cell carcinoma in 94% of 16 fluids, well-differentiated (keratinizing) squamous carcinoma in 100% of 3 fluids, malignant lymphoma in 100% of 22 fluids and sarcoma in 100% of 2 fluids. The criteria and the failures are discussed at length. In the investigation of the accuracy of cytologic and histologic diagnoses with respect to the primary tumor site, tumors with variable sites of origin (sarcomas and lymphomas) and those with usually singular sites of origin (e.g., small-cell anaplastic carcinoma of the lung) were excluded, leaving 387 cytologic and 83 histologic specimens available for review. The breast as a primary site was correctly identified in 70% of both the cytologic and histologic specimens; the primary cytodiagnostic criteria included a uniform cell pattern, finely granular chromatin, dense cytoplasm and cell balls with smooth borders. Ovarian primaries were correctly identified in 70% of the fluids and 83% of the biopsy samples on the basis of very irregular clusters of large pleomorphic tumor cells, large nucleoli and psammoma bodies. Lung primaries, identified in 50% of the fluids and 29% of the biopsy samples, showed quite variable cell patterns, most often including large pleomorphic cells with or without mucus formation and prominent multinucleation. Gastric cancers of the diffuse type were accurately identified in 52% of the corresponding fluids, which showed mainly isolated cells with dense cytoplasmic rims, occasional signet-ring cells, "embryo-shaped" nuclei, marked hyperchromasia and densely granular chromatin.(ABSTRACT TRUNCATED AT 400 WORDS)     

Homology Requirements for Targeting Heterologous Sequences during P-Induced Gap Repair in Drosophila Melanogaster

The effect of homology on gene targeting was studied in the context of P-element-induced double-strand breaks at the white locus of Drosophila melanogaster. Double-strand breaks were made by excision of P-w(hd), a P-element insertion in the white gene. A nested set of repair templates was generated that contained the 8 kilobase (kb) yellow gene embedded within varying amounts of white gene sequence. Repair with unlimited homology was also analyzed. Flies were scored phenotypically for conversion of the yellow gene to the white locus. Targeting of the yellow gene was abolished when all of the 3' homology was removed. Increases in template homology up to 51 base pairs (bp) did not significantly promote targeting. Maximum conversion was observed with a construct containing 493 bp of homology, without a significant increase in frequency when homology extended to the tips of the chromosome. These results demonstrate that the homology requirements for targeting a large heterologous insertion are quite different than those for a point mutation. Furthermore, heterologous insertions strongly affect the homology requirements for the conversion of distal point mutations. Several aberrant conversion tracts, which arose from templates that contained reduced homology, also were examined and characterized.     

Estimates of DNA and protein sequence divergence: an examination of some assumptions

Some of the assumptions underlying estimates of DNA and protein sequence divergence are examined. A solution for the variance of these estimates that allows for different mutation rates and different population sizes in each species and for an arbitrary structure in the initial population is obtained. It is shown that these conditions do not strongly affect estimates of divergence. In general, they cause the variance of divergence to be smaller than a binomial variance. Thus, the binomial variance that is usually assumed for these estimates is safely conservative. It is shown that variability in the mutation rate among sites can have an effect as large as or larger than variability in the mutation rate among bases. Variability in the mutation rate among bases and among sites causes the number of substitutions between two sequences to be underestimated. Protein and DNA sequences from several species are collected to estimate the variability in mutation rates among sites. When many homologous sequences are known, standard methods to estimate this variability can be used. The estimates of this variability show that this factor is important when considering the spectrum of spontaneous mutations and is strongly reflected in the divergence of sequences. Smaller variability is found for the third position of codons than for the first and second codon positions. This may be because of less selective constraints on this position or because the third position has been saturated with mutations for the sequences examined.      

The bacteriophage Mu N gene encodes the 64-kDa virion protein which is injected with, and circularizes, infecting Mu DNA

Upon infection of Escherichia coli with bacteriophage Mu, a 64-kDa protein is injected into the host cell along with the phage DNA. This protein is involved in circularizing the infecting Mu DNA (Harshey, R. M., and Bukhari, A. I. (1983) J. Mol. Biol. 167, 427-441; Puspurs, A. H., Trun, N. J., and Reeve, J. N. (1983) EMBO J. 2, 345-352). Its possible role in the integration of infecting Mu DNA and in the infection process remains to be established. To identify the source of this protein we have prepared antiserum to the protein purified from viral particles. We have shown that the antiserum is specific for the Mu N gene product. The antiserum has been used to immunologically screen a Mu DNA library cloned into an expression vector. Four clones have been shown to produce a protein of 64 kDa that is specifically bound by the antiserum. The only Mu gene common to all four clones is the N gene, as demonstrated by physical and genetic mapping. We have also demonstrated by peptide mapping that the cloned N gene product is identical to the 64-kDa protein found complexed with the injected Mu DNA.     

Estimating the evidence of selection and the reliability of inference in unigenic evolution

Background  

Unigenic evolution is a large-scale mutagenesis experiment used to identify residues that are potentially important for protein function. Both currently-used methods for the analysis of unigenic evolution data analyze 'windows' of contiguous sites, a strategy that increases statistical power but incorrectly assumes that functionally-critical sites are contiguous. In addition, both methods require the questionable assumption of asymptotically-large sample size due to the presumption of approximate normality.     

Identifying and Seeing beyond Multiple Sequence Alignment Errors Using Intra-Molecular Protein Covariation

Background

There is currently no way to verify the quality of a multiple sequence alignment that is independent of the assumptions used to build it. Sequence alignments are typically evaluated by a number of established criteria: sequence conservation, the number of aligned residues, the frequency of gaps, and the probable correct gap placement. Covariation analysis is used to find putatively important residue pairs in a sequence alignment. Different alignments of the same protein family give different results demonstrating that covariation depends on the quality of the sequence alignment. We thus hypothesized that current criteria are insufficient to build alignments for use with covariation analyses.

Methodology/Principal Findings

We show that current criteria are insufficient to build alignments for use with covariation analyses as systematic sequence alignment errors are present even in hand-curated structure-based alignment datasets like those from the Conserved Domain Database. We show that current non-parametric covariation statistics are sensitive to sequence misalignments and that this sensitivity can be used to identify systematic alignment errors. We demonstrate that removing alignment errors due to 1) improper structure alignment, 2) the presence of paralogous sequences, and 3) partial or otherwise erroneous sequences, improves contact prediction by covariation analysis. Finally we describe two non-parametric covariation statistics that are less sensitive to sequence alignment errors than those described previously in the literature.

Conclusions/Significance

Protein alignments with errors lead to false positive and false negative conclusions (incorrect assignment of covariation and conservation, respectively). Covariation analysis can provide a verification step, independent of traditional criteria, to identify systematic misalignments in protein alignments. Two non-parametric statistics are shown to be somewhat insensitive to misalignment errors, providing increased confidence in contact prediction when analyzing alignments with erroneous regions because of an emphasis on they emphasize pairwise covariation over group covariation.