The Pathology of Methanogenic Archaea in Human Gastrointestinal Tract Disease

Methane-producing archaea have recently been associated with disorders of the gastrointestinal tract and dysbiosis of the resident microbiota. Some of these conditions include inflammatory bowel disease (Crohn’s disease (CD) and ulcerative colitis (UC)), chronic constipation, small intestinal bacterial overgrowth, gastrointestinal cancer, anorexia, and obesity. The causal relationship and the putative mechanism by which archaea may be associated with human disease are poorly understood, as are the strategies to alter methanogen populations in humans. It is estimated that 30–62% of humans produce methane detectable in exhaled breath and in the gastrointestinal tract. However, it is not yet known what portion of the human population have detectable methanogenic archaea. Hydrogen and methane are often measured in the breath as clinical indicators of intolerance to lactose and other carbohydrates. Breath gas analysis is also employed to diagnose suspected small intestinal bacterial overgrowth and irritable bowel syndrome, although standards are lacking. The diagnostic value for breath gas measurement in human disease is evolving; therefore, standardized breath gas measurements combined with ever-improving molecular methodologies could provide novel strategies to prevent, diagnose, or manage numerous colonic disorders. In cases where methanogens are potentially pathogenic, more data are required to develop therapeutic antimicrobials or other mitigation strategies

Microorganisms in the rumen and reticulum of buffalo (Bubalus bubalis) fed two different feeding systems

Abstract\ud \ud Background\ud The community of microorganisms in the rumen and reticulum is influenced by feeding as well as the species and geographical distribution of ruminant animals. Bacteria, methanogenic archaea and ciliate protozoa existing in the rumen and reticulum were evaluated by real-time polymerase chain reaction and light microscopy in buffalo in two feeding systems, grazing and feedlot.\ud \ud \ud Results\ud No significant differences were observed in the total concentrations of bacteria/mL and archaea between rumen and reticulum, and between pasture and feedlots, or interactions between variables. However, the largest density of bacteria and smallest density of archaea was observed in the rumen of grazing animals. The total ciliates protozoa community was higher in grazing buffalo than those in the feedlot on a concentrated diet. There were significant interactions between location in the gastrointestinal tract (rumen vs reticulum) and types of diets (grazing vs feedlot) in the composition of ciliates.\ud \ud \ud Conclusions\ud Our data showed differences in the microbial community of the rumen and reticulum between grazing and feedlot feeding systems demonstrating relevant changes in the microorganism:host relationship existing on rumen–reticulum ecosystem.This work was supported by the Conselho Nacional de Desenvolvimento\ud Científico e Tecnologico (CNPq) from Federal Government of Brazil

Parallel evolution of histophagy in ciliates of the genus Tetrahymena

BACKGROUND: Species of Tetrahymena were grouped into three complexes based on morphological and life history traits: the pyriformis complex of microstomatous forms; the patula complex of microstome-macrostome transformers; and the rostrata complex of facultative and obligate histophages. We tested whether these three complexes are paraphyletic using the complete sequence of the small subunit rDNA (SSrDNA). RESULTS: In addition to the 16 species of Tetrahymena whose SSrDNA sequences are known, we sequenced the complete SSrDNA from the following histophagous Tetrahymena species; Tetrahymena bergeri, Tetrahymena mobilis, Tetrahymena rostrata, and Tetrahymena setosa as well as the macrostome species Tetrahymena vorax. We also included a ciliate tentatively identified as Lambornella sp., a parasite of the mosquito Aedes sp. We confirmed earlier results using SSrDNA, which showed two distinct clusters of Tetrahymena species: the australis group and borealis group. The genetic distances among Tetrahymena are in general very small. However, all nodes were supported by high bootstrap values. With the exception of T. bergeri and T. corlissi, which are both histophagous and group as sister species, all other histophagous Tetrahymena species are most closely related to a bacterivorous species. Furthermore, Lambornella sp. and T. empidokyrea, both mosquito parasites, are sister species, although there is a considerable genetic distance between them. CONCLUSIONS: There has been parallel evolution of histophagy in the genus Tetrahymena and the three classical species complexes are paraphyletic. As the genus Lambornella arises within the Tetrahymena clade, it is not likely a defensible one

Influence of periparturient and postpartum diets on rumen methanogen communities in three breeds of primiparous dairy cows

Background: Enteric methane from rumen methanogens is responsible for 25.9 % of total methane emissions in the United States. Rumen methanogens also contribute to decreased animal feed efficiency. For methane mitigation strategies to be successful, it is important to establish which factors influence the rumen methanogen community and rumen volatile fatty acids (VFA). In the present study, we used next-generation sequencing to determine if dairy breed and/or days in milk (DIM) (high-fiber periparturient versus high-starch postpartum diets) affect the rumen environment and methanogen community of primiparous Holstein, Jersey, and Holstein-Jersey crossbreeds. Results: When the 16S rRNA gene sequences were processed and assigned to operational taxonomic units (OTU), a core methanogen community was identified, consisting of Methanobrevibacter (Mbr.) smithii, Mbr. thaueri, Mbr. ruminantium, and Mbr. millerae. The 16S rRNA gene sequence reads clustered at 3 DIM, but not by breed. At 3 DIM, the mean % abundance of Mbr. thaueri was lower in Jerseys (26.9 %) and higher in Holsteins (30.7 %) and Holstein-Jersey crossbreeds (30.3 %) (P < 0.001). The molar concentrations of total VFA were higher at 3 DIM than at 93, 183, and 273 DIM, whereas the molar proportions of propionate were increased at 3 and 93 DIM, relative to 183 and 273 DIM. Rumen methanogen densities, distributions of the Mbr. species, and VFA molar proportions did not differ by breed. Conclusions: The data from the present study suggest that a core methanogen community is present among dairy breeds, through out a lactation. Furthermore, the methanogen communities were more influenced by DIM and the breed by DIM interactions than breed differences.The author's would like to acknowledge the USDA Hatch Grant (VT-H01801) and the UVM Dairy Center of Excellence as funding sources for animals and laboratory supplies. Furthermore, the Agriculture and Food Research Initiative Competitive Grant no. 2014-67016-21791 from the USDA National Institute of Food and Agriculture supported the VFA and feed analyses. We would like to thank Dr. Benoit St-Pierre of South Dakota State University for assistance with bioinformatics and Kurt Cotanch of the William H. Miner Institute for assistance with VFA analyses. We would also like to thank the Paul Miller Research Farm staff (Matt Boudette, Scott Shumway, Doug Watkin) for their on-farm maintenance and assistance. Lastly, we would like to thank Columbia University undergraduate student, Ryan C. Noyes, and the UVM undergraduate students (Pamela Bay, Katherine Boucher, Dylan Devino, Michael Eldredge, Samantha Frawley, Emma Hurley, Anne Kaufman, Danielle Semick, Mallory Sullivan, Sarah Zeger) who helped with calving, sampling, and milking.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

A chemical survey of exoplanets with ARIEL

Thousands of exoplanets have now been discovered with a huge range of masses, sizes and orbits: from rocky Earth-like planets to large gas giants grazing the surface of their host star. However, the essential nature of these exoplanets remains largely mysterious: there is no known, discernible pattern linking the presence, size, or orbital parameters of a planet to the nature of its parent star. We have little idea whether the chemistry of a planet is linked to its formation environment, or whether the type of host star drives the physics and chemistry of the planet’s birth, and evolution. ARIEL was conceived to observe a large number (~1000) of transiting planets for statistical understanding, including gas giants, Neptunes, super-Earths and Earth-size planets around a range of host star types using transit spectroscopy in the 1.25–7.8 μm spectral range and multiple narrow-band photometry in the optical. ARIEL will focus on warm and hot planets to take advantage of their well-mixed atmospheres which should show minimal condensation and sequestration of high-Z materials compared to their colder Solar System siblings. Said warm and hot atmospheres are expected to be more representative of the planetary bulk composition. Observations of these warm/hot exoplanets, and in particular of their elemental composition (especially C, O, N, S, Si), will allow the understanding of the early stages of planetary and atmospheric formation during the nebular phase and the following few million years. ARIEL will thus provide a representative picture of the chemical nature of the exoplanets and relate this directly to the type and chemical environment of the host star. ARIEL is designed as a dedicated survey mission for combined-light spectroscopy, capable of observing a large and well-defined planet sample within its 4-year mission lifetime. Transit, eclipse and phase-curve spectroscopy methods, whereby the signal from the star and planet are differentiated using knowledge of the planetary ephemerides, allow us to measure atmospheric signals from the planet at levels of 10–100 part per million (ppm) relative to the star and, given the bright nature of targets, also allows more sophisticated techniques, such as eclipse mapping, to give a deeper insight into the nature of the atmosphere. These types of observations require a stable payload and satellite platform with broad, instantaneous wavelength coverage to detect many molecular species, probe the thermal structure, identify clouds and monitor the stellar activity. The wavelength range proposed covers all the expected major atmospheric gases from e.g. H2O, CO2, CH4 NH3, HCN, H2S through to the more exotic metallic compounds, such as TiO, VO, and condensed species. Simulations of ARIEL performance in conducting exoplanet surveys have been performed – using conservative estimates of mission performance and a full model of all significant noise sources in the measurement – using a list of potential ARIEL targets that incorporates the latest available exoplanet statistics. The conclusion at the end of the Phase A study, is that ARIEL – in line with the stated mission objectives – will be able to observe about 1000 exoplanets depending on the details of the adopted survey strategy, thus confirming the feasibility of the main science objectives.Peer reviewedFinal Published versio

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.

Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes

Genome-wide analysis identifies 12 loci influencing human reproductive behavior.

The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits