Leah Reshef

The role of microorganisms in coral health, disease and evolution

Coral microbiology is an emerging field, driven largely by a desire to understand, and ultimately prevent, the worldwide destruction of coral reefs. The mucus layer, skeleton and tissues of healthy corals all contain large populations of eukaryotic algae, bacteria and archaea. These microorganisms confer benefits to their host by various mechanisms, including photosynthesis, nitrogen fixation, the provision of nutrients and infection prevention. Conversely, in conditions of environmental stress, certain microorganisms cause coral bleaching and other diseases. Recent research indicates that corals can develop resistance to specific pathogens and adapt to higher environmental temperatures. To explain these findings the coral probiotic hypothesis proposes the occurrence of a dynamic relationship between symbiotic microorganisms and corals that selects for the coral holobiont that is best suited for the prevailing environmental conditions. Generalization of the coral probiotic hypothesis has led us to propose the hologenome theory of evolution.

Pouch Inflammation Is Associated With a Decrease in Specific Bacterial Taxa

BACKGROUND & AIMS Pouchitis is a common long-term complication in patients with ulcerative colitis (UC) undergoing proctocolectomy with ileal pouch-anal anastomosis. Because the inflammation occurs in a previously normal small bowel, studies of this process might provide information about the development of Crohns disease. Little is known about the intestinal microbiome of patients with pouchitis. We investigated whether specific bacterial populations correlate with the pouch disease phenotype and inflammatory activity. METHODS We performed a prospective study of patients with UC who underwent pouch surgery (N = 131) from 1981 through 2012 and were followed at Tel Aviv Medical Center. Patients were assigned to groups based on their degree and type of pouch inflammation. Patients with familial adenomatous polyposis after pouch surgery (n = 9), individuals with intact colons undergoing surveillance colonoscopy (n = 10), and patients with UC who did not undergo surgery (n = 9) served as controls. We collected demographic and disease activity data (based on the Pouchitis Disease Activity Index) and measured levels of C-reactive protein. Fecal samples were collected, levels of calprotectin were measured, and microbiota were analyzed by 16S ribosomal RNA gene amplicon pyrosequencing. RESULTS Increased proportions of the Fusobacteriaceae family correlated with increased disease activity and levels of C-reactive protein in patients with UC who underwent pouch surgery. In contrast, proportions of Faecalibacterium were reduced in patients with pouchitis vs controls; there was a negative correlation between proportion of Faecalibacterium and level of C-reactive protein. There was an association between antibiotic treatment, but not biologic or immunomodulatory therapy, with reduced proportions of 11 genera and with increased proportions of Enterococcus and Enterobacteriaceae. CONCLUSIONS Reductions in protective bacteria and increases in inflammatory bacteria are associated with pouch inflammation in patients with UC who underwent pouch surgery. The finding that antibiotics exacerbate dysbiosis indicates that these drugs might not provide long-term benefit for patients with pouchitis. Additional studies of this form of dysbiosis could provide information about the pathogenesis of Crohns disease.

Computational evaluation of cellular metabolic costs successfully predicts genes whose expression is deleterious

Significance Biologists frequently overexpress genes to learn about their cellular functions, and biotechnologists do so to construct novel metabolic pathways that produce valuable chemical compounds. However, gene overexpression often leads to deleterious consequences whose cause is unclear. Here, we present a computational method named Expression-Dependent Gene Effects (EDGE) that can successfully predict the deleterious effects resulting from overexpression of either native or foreign (originating in another species) metabolic genes. EDGE relies on genome-scale metabolic models, an emerging computational paradigm for studying metabolism in silico. Beyond its biotechnological significance, gene overexpression also plays an important role in human disease. We show EDGE’s applicability in the latter case by demonstrating its ability to detect toxic genes whose expression tends to be suppressed in cancer cells. Gene suppression and overexpression are both fundamental tools in linking genotype to phenotype in model organisms. Computational methods have proven invaluable in studying and predicting the deleterious effects of gene deletions, and yet parallel computational methods for overexpression are still lacking. Here, we present Expression-Dependent Gene Effects (EDGE), an in silico method that can predict the deleterious effects resulting from overexpression of either native or foreign metabolic genes. We first test and validate EDGE’s predictive power in bacteria through a combination of small-scale growth experiments that we performed and analysis of extant large-scale datasets. Second, a broad cross-species analysis, ranging from microorganisms to multiple plant and human tissues, shows that genes that EDGE predicts to be deleterious when overexpressed are indeed typically down-regulated. This reflects a universal selection force keeping the expression of potentially deleterious genes in check. Third, EDGE-based analysis shows that cancer genetic reprogramming specifically suppresses genes whose overexpression impedes proliferation. The magnitude of this suppression is large enough to enable an almost perfect distinction between normal and cancerous tissues based solely on EDGE results. We expect EDGE to advance our understanding of human pathologies associated with up-regulation of particular transcripts and to facilitate the utilization of gene overexpression in metabolic engineering.

Genome analysis of the coral bleaching pathogen Vibrio shiloi

The past few decades have seen a world-wide increase in coral diseases, yet little is known about coral pathogens. In this study, techniques commonly used in pathogenomic research were applied to the coral pathogen Vibrio shiloi in order to identify genetic elements involved in its virulence. Suppressive subtractive hybridization was used to compare the gene content of V. shiloi to that of a closely related but non-pathogenic bacterium, Vibrio mediterranei, resulting in identification of several putative virulence factors and of three novel genomic islands. The entire genome of V. shiloi was further screened for genes related to previously characterized steps in infection: adhesion, superoxide dismutase production and toxin production. Exposure of pure cultures of V. shiloi to crushed coral tissues strongly affected the expression of seven genes encoding pili, zona occludins toxin (Zot) and a superoxide dismutase. Analysis of eight V. shiloi strains isolated in the last decade shows a shift of the natural population from strains carrying all three genomic islands to strains carrying none of them. This shift occurred following appearance of resistance in the coral Oculina patagonica to infection by V. shiloi. The relevance of these findings to the bleaching disease caused by V. shiloi is discussed.

A novel nutritional predictor links microbial fastidiousness with lowered ubiquity, growth rate, and cooperativeness.

Understanding microbial nutritional requirements is a key challenge in microbiology. Here we leverage the recent availability of thousands of automatically generated genome-scale metabolic models to develop a predictor of microbial minimal medium requirements, which we apply to thousands of species to study the relationship between their nutritional requirements and their ecological and genomic traits. We first show that nutritional requirements are more similar among species that co-habit many ecological niches. We then reveal three fundamental characteristics of microbial fastidiousness (i.e., complex and specific nutritional requirements): (1) more fastidious microorganisms tend to be more ecologically limited; (2) fastidiousness is positively associated with smaller genomes and smaller metabolic networks; and (3) more fastidious species grow more slowly and have less ability to cooperate with other species than more metabolically versatile organisms. These associations reflect the adaptation of fastidious microorganisms to unique niches with few cohabitating species. They also explain how non-fastidious species inhabit many ecological niches with high abundance rates. Taken together, these results advance our understanding microbial nutrition on a large scale, by presenting new nutrition-related associations that govern the distribution of microorganisms in nature.

Systems-Wide Prediction of Enzyme Promiscuity Reveals a New Underground Alternative Route for Pyridoxal 5’-Phosphate Production in E. coli

Recent insights suggest that non-specific and/or promiscuous enzymes are common and active across life. Understanding the role of such enzymes is an important open question in biology. Here we develop a genome-wide method, PROPER, that uses a permissive PSI-BLAST approach to predict promiscuous activities of metabolic genes. Enzyme promiscuity is typically studied experimentally using multicopy suppression, in which over-expression of a promiscuous ‘replacer’ gene rescues lethality caused by inactivation of a ‘target’ gene. We use PROPER to predict multicopy suppression in Escherichia coli, achieving highly significant overlap with published cases (hypergeometric p = 4.4e-13). We then validate three novel predicted target-replacer gene pairs in new multicopy suppression experiments. We next go beyond PROPER and develop a network-based approach, GEM-PROPER, that integrates PROPER with genome-scale metabolic modeling to predict promiscuous replacements via alternative metabolic pathways. GEM-PROPER predicts a new indirect replacer (thiG) for an essential enzyme (pdxB) in production of pyridoxal 5’-phosphate (the active form of Vitamin B6), which we validate experimentally via multicopy suppression. We perform a structural analysis of thiG to determine its potential promiscuous active site, which we validate experimentally by inactivating the pertaining residues and showing a loss of replacer activity. Thus, this study is a successful example where a computational investigation leads to a network-based identification of an indirect promiscuous replacement of a key metabolic enzyme, which would have been extremely difficult to identify directly.

Community structure dynamics during startup in microbial fuel cells - The effect of phosphate concentrations.

For microbial fuel cells (MFCs) to become a cost-effective wastewater treatment technology, they must produce a stable electro-active microbial community quickly and operate under realistic wastewater nutrient conditions. The composition of the anodic-biofilm and planktonic-cells communities was followed temporally for MFCs operated under typical laboratory phosphate concentrations (134mgL(-1)P) versus wastewater phosphate concentrations (16mgL(-1)P). A stable peak voltage was attained two-fold faster in MFCs operating under lower phosphate concentration. All anodic-biofilms were composed of well-known exoelectrogenic bacterial families; however, MFCs showing faster startup and a stable voltage had a Desulfuromonadaceae-dominated-biofilm, while biofilms co-dominated by Desulfuromonadaceae and Geobacteraceae characterized slower or less stable MFCs. Interestingly,planktonic-cell concentrations of these bacteria followed a similar trend as the anodic-biofilm and could therefore serve as a biomarker for its formation. These results demonstrate that wastewater-phosphate concentrations do not compromise MFCs efficiency, and considerably speed up startup times.

Microbiome associated with denture malodour

In the past, our inability to cultivate most of the oral microorganisms has limited our view of this complex ecosystem. In the present study, we utilized next generation deep sequencing techniques to revisit the microbiome associated with dentures malodour a growing problem with the rise in life expectancy. Study population comprised of twenty six full dentures patients (mean age 71±6.4, 16 females) who visited the Tel Aviv University dental geriatric clinic. Dentures malodour was rated organoleptically by a single odour judge and dentures scored 2 and above were considered malodour positive. DNA was extracted from the swab samples and analyzed using next generation deep sequencing 16S rDNA technology. Taxa identified could be classified into nine phyla, 29 genera and 117 species. Malodour positive samples showed a higher abundance of the phyla Firmicutes and Fusobacteria and the genera Veillonella, Fusobacterium and Porphyromonas with genera Leptotrichia, Atopobium, Megasphaera, Oribacterium and Campylobacter present only in the malodour positive group. Species level analysis demonstrated higher bacterial diversity within the malodourous samples and a clear division of two separate clusters representing the malodourous and non-malodour samples. Results of the present study show a clear difference between the microbial populations of malodourous and non-malodourous dentures both in composition and diversity.

Who is the host of the host-associated microbiome? Colony-level dynamics overshadow individual-level characteristics in the fur microbiome of a social mammal, the Egyptian fruit-bat

In the first longitudinal study of bat microbiomes, we find that unlike the pattern described in humans and other mammals, the prominent dynamics in Egyptian fruit bats’ fur microbiomes are those of change over time at the level of the colony as a whole. Thus, on average, a pair of fur microbiome samples from different individuals in the same colony collected on the same date are more similar to one another than a pair of samples from the same individual collected at different time points. This pattern suggests that the whole colony may be the appropriate biological unit for understanding some of the roles of the host microbiome in social bats’ ecology and evolution. This pattern of synchronized colony changes over time is also reflected in the profile of volatile compounds in the bats’ fur, but differs from the more individualized pattern found in the bats’ gut microbiome.