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Modelling of bacteria sheds light on drug-resistance | School of Physics and Astronomy

Modelling of bacteria sheds light on drug-resistance | School of Physics and Astronomy | Complex Insight  - Understanding our world | Scoop.it

The emergence of disease-causing bacteria which are resistant to known antibiotics is one of the most important current global health challenges. Drug-resistant "superbugs" kill thousands of people every year. This is a growing problem, because new antibiotics are not being discovered fast enough to keep up with the rate of evolution of resistance. Using a simple theoretical model of a bacterial population which expands to colonize a new territory, Philip Greulich, Bartlomiej Waclaw and Rosalind Allen  of the Universiy of Edinburgh show that a non-uniform concentration of antibiotic can greatly speed up the evolution of resistance, compared to the case where the drug is evenly distributed. Non-uniform drug distributions are expected to be very common: for example, drugs in our body accumulate to different levels in different organs. Importantly, the speedup in evolution of resistance that is predicted by the model depends on the sequence of genetic mutations by which the bacteria become drug resistant. It only happens if all the mutations along the pathway increase the drug resistance. Unfortunately, this seems to be the case for many commonly-used antibiotics. This research shows that simple, statistical physics models can provide important insights into biological problems. The theory developed by the Edinburgh researchers may also be relevant to the evolution of cancer cells resistant to chemotherapeutic drugs, suggesting that the highly non-uniform microenvironments found inside tumours may present a major obstacle to the successful treatment of the tumour before drug resistance emerges.

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Origin and diversity of novel avian influenza A H7N9 viruses causing human infection: phylogenetic, structural, and coalescent analyses : The Lancet

BackgroundOn March 30, 2013, a novel avian influenza A H7N9 virus that infects human beings was identified. This virus had been detected in six provinces and municipal cities in China as of April 18, 2013. We correlated genomic sequences from avian influenza viruses with ecological information and did phylogenetic and coalescent analyses to extrapolate the potential origins of the virus and possible routes of reassortment events.MethodsWe downloaded H7N9 virus genome sequences from the Global Initiative on Sharing Avian Influenza Data (GISAID) database and public sequences used from the Influenza Virus Resource. We constructed phylogenetic trees and did 1000 bootstrap replicates for each tree. Two rounds of phylogenetic analyses were done. We used at least 100 closely related sequences for each gene to infer the overall topology, removed suspicious sequences from the trees, and focused on the closest clades to the novel H7N9 viruses. We compared our tree topologies with those from a bayesian evolutionary analysis by sampling trees (BEAST) analysis. We used the bayesian Markov chain Monte Carlo method to jointly estimate phylogenies, divergence times, and other evolutionary parameters for all eight gene fragments. We used sequence alignment and homology-modelling methods to study specific mutations regarding phenotypes, specifically addressing the human receptor binding properties.FindingsThe novel avian influenza A H7N9 virus originated from multiple reassortment events. The HA gene might have originated from avian influenza viruses of duck origin, and the NA gene might have transferred from migratory birds infected with avian influenza viruses along the east Asian flyway. The six internal genes of this virus probably originated from two different groups of H9N2 avian influenza viruses, which were isolated from chickens. Detailed analyses also showed that ducks and chickens probably acted as the intermediate hosts leading to the emergence of this virulent H7N9 virus. Genotypic and potential phenotypic differences imply that the isolates causing this outbreak form two separate subclades.InterpretationThe novel avian influenza A H7N9 virus might have evolved from at least four origins. Diversity among isolates implies that the H7N9 virus has evolved into at least two different lineages. Unknown intermediate hosts involved might be implicated, extensive global surveillance is needed, and domestic-poultry-to-person transmission should be closely watched in the future.FundingChina Ministry of Science and Technology Project 973, National Natural Science Foundation of China, China Health and Family Planning Commission, Chinese Academy of Sciences.


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Firstly sidestepping the important findings for H7N9 virus, this paper illustrates the importance of rgorous methodology and  key research methods for understanding disease evolution and contagence pathways. the paper details  correlated genomic sequences and ecological information using phylogenetic and coalescent analyses to extrapolate the potential originsand  possible routes of reassortment events in H7N9 virus.  As for the findings - novel avian influenza viruses are a major concern for world wide public health - the research work in this paper raises the need for understanding intermediate hosts, viral evolution pathways and domestic poultry wild animation contact on a global scale for future health policy. Worth reading.

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It's time to redesign our economic system

It's time to redesign our economic system | Complex Insight  - Understanding our world | Scoop.it

John Fullerton asks what it will take for mainstream economists and financial theorists to understand the vital connection between economics and ecosystem. Click on the image or title to learn more.

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Big Data for Conflict Prevention

Big Data for Conflict Prevention | Complex Insight  - Understanding our world | Scoop.it
I had the great pleasure of co-authoring the International Peace Institute's (IPI) unique report on "Big Data for Conflict Prevention" (PDF) with my two colleagues Emmanuel Letouzé and Patrick Vinc...
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PLOS ONE: Metagenomic Exploration of Viruses throughout the Indian Ocean

PLOS ONE: Metagenomic Exploration of Viruses throughout the Indian Ocean | Complex Insight  - Understanding our world | Scoop.it

The characterization of global marine microbial taxonomic and functional diversity is a primary goal of the Global Ocean Sampling Expedition. As part of this study, 19 water samples were collected aboard the Sorcerer II sailing vessel from the southern Indian Ocean in an effort to more thoroughly understand the lifestyle strategies of the microbial inhabitants of this ultra-oligotrophic region. No investigations of whole virioplankton assemblages have been conducted on waters collected from the Indian Ocean or across multiple size fractions thus far. Therefore, the goals of this study were to examine the effect of size fractionation on viral consortia structure and function and understand the diversity and functional potential of the Indian Ocean virome. Interesting paper - find more info on the findings of the study by clicking on the image or title.

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