Disruption of termite gut-microbiota and its prolonged fitness consequences

Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here by permission of American Society for Microbiology for personal use, not for redistribution. The definitive version was published in Applied and Environmental Microbiology 77 (2011): 4303-4312, doi:10.1128/AEM.01886-10.The disruption of host-symbiont interactions through the use of antibiotics can help elucidate microbial functions that go beyond short-term nutritional value. Termite gut symbionts have been studied extensively, but little is known about their impact on the termite’s reproductive output. Here we describe the effect that the antibiotic rifampin has not only on the gut microbial diversity, but also on the longevity, fecundity, and weight of two termite species - Zootermopsis angusticollis and Reticulitermes flavipes. We report three key findings: (i) the antibiotic rifampin, when fed to primary reproductives during the incipient stages of colony foundation, causes a permanent reduction in the diversity of gut bacteria, and a transitory effect on the density of the protozoan community, (ii) rifampin treatment reduces oviposition rates of queens, translating into delayed colony growth and ultimately reduced colony fitness and (iii) the initial dosages of rifampin on reproduction and colony fitness had severe longterm fitness effects on Z. angusticollis survivorship and colony size. Taken together, our findings demonstrate that the antibiotic-induced perturbation of the microbial community associates with prolonged reductions in longevity and fecundity. A causal relationship between these changes in the gut microbial population structures and fitness is suggested by the acquisition of opportunistic pathogens and incompetence of the termites to restore a pre-treatment, native microbiota. Our results indicate that antibiotic treatment significantly alters the termite’s microbiota, reproduction, colony establishment and ultimately, colony growth and development. We discuss the implications for antimicrobials as a new application to the control of termite pest species.This research was funded by the Louis Stokes Minority Program which supported Jessica Dumas, NSF CAREER award DEB 0447316 to Rosengaus RB, and NSF IOS-0852344 and NAI NNA04CC04A to Bordenstein SR

«Prozessintelligenz» : Gegenstand und Ziele der Studie

«Intelligente Prozesse, «intelligentes Prozessmanagement», «iBPM» sind Schlagworte, die in erster Linie eingesetzt werden, um Technologien zu vermarkten. Die Begriffe lassen viel Raum für Interpretation und Assoziationen. Können Unternehmen den Hype ignorieren oder bietet «Prozessintelligenz» die Chance, das Prozessmanagement aus einem anderen Blickwinkel zu betrachten und weiterzuentwickeln? Doch was ist Prozessintelligenz? Welche Lösungsansätze, Erfahrungen und Erfolgsmuster gibt es bereits in Unternehmen? Welche Methoden und Werkzeuge kommen zum Einsatz, um Prozesse «intelligenter» zu machen? Diesen Fragen hat sich die Business-Process-Management-Studie 2015 gestellt, mit der das Institut für Wirtschaftsinformatik der Zürcher Hochschule für Angewandte Wissenschaften School of Management and Law seit 2011 regelmässig Status quo und Best Practices im deutschsprachigen Raum erhebt

Mosquito Microbiome Dynamics, a Background for Prevalence and Seasonality of West Nile Virus

Symbiotic microbial communities augment host phenotype, including defense against pathogen carriage and infection. We sampled the microbial communities in 11 adult mosquito host species from six regions in southern Ontario, Canada over 3 years. Of the factors examined, we found that mosquito species was the largest driver of the microbiota, with remarkable phylosymbiosis between host and microbiota. Seasonal shifts of the microbiome were consistently repeated over the 3-year period, while region had little impact. Both host species and seasonal shifts in microbiota were associated with patterns of West Nile virus (WNV) in these mosquitoes. The highest prevalence of WNV, with a seasonal spike each year in August, was in the Culex pipiens/restuans complex, and high WNV prevalence followed a decrease in relative abundance of Wolbachia in this species. Indeed, mean temperature, but not precipitation, was significantly correlated with Wolbachia abundance. This suggests that at higher temperatures Wolbachia abundance is reduced leading to greater susceptibility to WNV in the subsequent generation of C. pipiens/restuans hosts. Different mosquito genera harbored significantly different bacterial communities, and presence or abundance of Wolbachia was primarily associated with these differences. We identified several operational taxonomic units (OTUs) of Wolbachia that drive overall microbial community differentiation among mosquito taxa, locations and timepoints. Distinct Wolbachia OTUs were consistently found to dominate microbiomes of Cx. pipiens/restuans, and of Coquilletidia perturbans. Seasonal fluctuations of several other microbial taxa included Bacillus cereus, Enterococcus, Methylobacterium, Asaia, Pantoea, Acinetobacter johnsonii, Pseudomonas, and Mycoplasma. This suggests that microbiota may explain some of the variation in vector competence previously attributed to local environmental processes, especially because Wolbachia is known to affect carriage of viral pathogens

Wideband Instrument for Snow Measurements (WISM)

This presentation discusses current efforts to develop a Wideband Instrument for Snow Measurements (WISM). The objective of the effort are as follows: to advance the utility of a wideband active and passive instrument (8-40 gigahertz) to support the snow science community; improve snow measurements through advanced calibration and expanded frequency of active and passive sensors; demonstrate science utility through airborne retrievals of snow water equivalent (SWE); and advance the technology readiness of broadband current sheet array (CSA) antenna technology for spaceflight applications

Production of D∗+(2010)D^{*+}(2010) mesons by high energy neutrinos from the Tevatron

Charged vector $D^{*+}(2010)$ meson production is studied in a high energy neutrino bubble chamber experiment with mean neutrino energy of 141 GeV. The $D^{*+}$ are produced in $(5.6 \pm 1.8)\%$ of the neutrino charged current interactions, indicating a steep increase of cross section with energy. The mean fractional hadronic energy of the $D^{*+}$ meson is $0.55 \pm 0.06$

International Asteroid Warning Network Timing Campaign : 2019 XS

Peer reviewe

Apophis planetary defense campaign

We describe results of a planetary defense exercise conducted during the close approach to Earth by the near-Earth asteroid (99942) Apophis during 2020 December–2021 March. The planetary defense community has been conducting observational campaigns since 2017 to test the operational readiness of the global planetary defense capabilities. These community-led global exercises were carried out with the support of NASA's Planetary Defense Coordination Office and the International Asteroid Warning Network. The Apophis campaign is the third in our series of planetary defense exercises. The goal of this campaign was to recover, track, and characterize Apophis as a potential impactor to exercise the planetary defense system including observations, hypothetical risk assessment and risk prediction, and hazard communication. Based on the campaign results, we present lessons learned about our ability to observe and model a potential impactor. Data products derived from astrometric observations were available for inclusion in our risk assessment model almost immediately, allowing real-time updates to the impact probability calculation and possible impact locations. An early NEOWISE diameter measurement provided a significant improvement in the uncertainty on the range of hypothetical impact outcomes. The availability of different characterization methods such as photometry, spectroscopy, and radar provided robustness to our ability to assess the potential impact risk

A network analysis to identify mediators of germline-driven differences in breast cancer prognosis

cited By 0Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies similar to 7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.Peer reviewe

Using “omics” and integrated multi-omits approaches to guide probiotic selection to mitigate chytridiomycosis and other emerging infectious diseases

Emerging infectious diseases in wildlife are responsible for massive population declines. In amphibians, chytridiomycosis caused by Batrachochytrium dendrobatidis, Bd, has severely affected many amphibian populations and species around the world. One promising management strategy is probiotic bioaugmentation of antifungal bacteria on amphibian skin. In vivo experimental trials using bioaugmentation strategies have had mixed results, and therefore a more informed strategy is needed to select successful probiotic candidates. Metagenomic, transcriptomic, and metabolomic methods, colloquially called “omics,” are approaches that can better inform probiotic selection and optimize selection protocols. The integration of multiple omic data using bioinformatic and statistical tools and in silico models that link bacterial community structure with bacterial defensive function can allow the identification of species involved in pathogen inhibition. We recommend using 16S rRNA gene amplicon sequencing and methods such as indicator species analysis, the Kolmogorov–Smirnov Measure, and co-occurrence networks to identify bacteria that are associated with pathogen resistance in field surveys and experimental trials. In addition to 16S amplicon sequencing, we recommend approaches that give insight into symbiont function such as shotgun metagenomics, metatranscriptomics, or metabolomics to maximize the probability of finding effective probiotic candidates, which can then be isolated in culture and tested in persistence and clinical trials. An effective mitigation strategy to ameliorate chytridiomycosis and other emerging infectious diseases is necessary; the advancement of omic methods and the integration of multiple omic data provide a promising avenue toward conservation of imperiled species