A PhD student in my lab has generated a nice GIS mapping of auto and bike accidents in Davis, CA. Worth browsing …
Category: Misc.
Open Flu: Up to date Open analysis of Human/Swine A/H1N1 Influenza
Just got a pointer to a fantastic site with detailed up to date analyses of flu (e.g., swine flu) data. The site is http://tree.bio.ed.ac.uk/groups/influenza/. The site says
These pages are to allow the rapid dissemination of results and analysis of genetic data from the ongoing Influenza A/H1N1 outbreak attributed to swine flu.
And there is some great stuff there posted by among others, Andrew Rambaut, Oliver Pybus, Nicholas Grassly, Mike Worobey and Gavin Smith. Definitely worth checking out. Hat tip to Eddy Holmes for pointing this out.
Marketplace piece on open access
Marketplace on NPR had a mini story on Open Access publishing. See Marketplace: Publicly funded research for a price. Hat tip to Aaron Gussman and Keith Bradnam for pointing this out. I did not listen to the piece but the text is online here. Here are some bits (does not seem to be a particularly well researched piece but it is still something)
KAI RYSSDAL: A lot of the scientific research that goes on in this country is really expensive. And, as it happens, a lot of it is publicly funded. But when taxpayers want to read a particular study that has been paid for with their money, they have to pay again to read about it in, say, The New England Journal of Medicine.
…JANET BABIN: People who grew up with the Internet expect information to be free. That’s what 21-year-old Josh Sommer thought. In 2006 he was a typical college freshman. Studying environmental engineering, hanging out, making new friends. Suddenly, he started to get severe headaches. He had a series of routine tests.
JOSH SOMMER: End up having an MRI and being told that I have a mass right in the very center of my head, entwined with critical arteries, in one of the most difficult locations to operate on. The cancer Josh has is called Chordoma. It’s a rare disease with a low survival rate. Even doctors don’t know much about it. So Josh threw himself into Chordoma research. He Googled the disease to find out all he could about it, but kept hitting roadblocks.
SOMMER: I’d find an abstract, and I’d click on it. And oh, you have to pay $60 to read this article. Oh, you have to pay $40 to read this article. I mean, I have this disease, I want to know about it. Journal subscriptions — like the Journal of the American Medical Association — can cost thousands of dollars each year. With universities and libraries trimming budgets, they can’t afford all of them either. What Josh needed was free access to the research online. Last year, the National Institutes of Health unlocked the gates on a lot of research. Through its Web portal called PubMed Central, you can now search research papers for any disease scientists are studying with public funds. It’s an estimated 80,000 articles a year. Duke University law professor James Boyle says open access is only fair.
JAMES BOYLE: Why would you possibly say that when the taxpayers funded something, then the public can’t get to read it afterwards without paying again?
…
Then they quote Martin Frank from the American Physiological Society. saying something defending restricted access. They also quote rebuttal from Professor Boyle, at Duke:
BOYLE: The Web works great for porn or for shoes, or for flirting on social networks. But it doesn’t work really well for science. We haven’t done for science what we did on the rest of the Web, which is basically to have this open Web with everything linked together.
Assembling the Marine Metagenome, One Cell at a Time
As I have already divulged on twitter and friendfeed, a paper on which I am an author just came out in PLoS One. The paper is Assembling the Marine Metagenome, One Cell at a Time
It represents a collaboration between a bunch of different institutes including the Joint Genome Institute, UC Davis, and the Bigelow Lab in Maine. The main thing in the paper is the use of whole genome amplification to aid in the sequencing of the genome from a single cell.
The first author on the paper Tonja Woyke at the Joint Genome Institute has been adopting and developing methods for this type of single cell work (extending for example the MDA “multiple displacement amplification” protocol. Woyke is one of those rare types who can do both complex lab work and genome analysis and a variety of other things and is also great to be around.
The other main player in the project was Ramunas Stepanauskas from the Bigelow Lab in Maine who is the “biologists” with an interest in the specific samples which were being worked on. These samples were flavobacteria (a type of bacteria) that live in surface ocean waters but have never been grown in isolation in the laboratory. And in such cases, single cell genomics is very useful and powerful. In the paper we show that having this genome is quite useful for interpreting metagenomic data (not surprising, but good to show).
Anyway – check out the paper if you are interested in microbial ecology and/or metagenomics. Or look at the press release here.
Figure 2. Biogeography of microorganisms closely related to MS024-2A and MS024-3C.
A. Geographic distribution of the Global Ocean Sampling (GOS) metagenome fragments with >95% identity to MS024-2A and MS024-3C DNA. Numerals on the map indicate GOS station numbers. B. Sea surface temperature in December 2003, which demonstrates hydrological separation of GOS aquatic samples collected north and south of Cape Hatteras (near GOS station 13). Provided is a composite Aqua-MODIS image for December 2003 (http://oceancolor.gsfc.nasa.gov). The GOS stations were numbered in the order of their sampling, and stations 12, 13 and 14 were sampled on December 18, 19 and 20, 2003.
doi:10.1371/journal.pone.0005299.g002
Open Access Flu – Updated
In regard to the swine flu infections going on, here are some Open Access PLoS papers articles about flu. In total they provide some useful background reading on flu that anyone can get access to. I have updated the list after prodding from @bpb on Twitter …
- PLoS Medicine – Modeling the Worldwide Spread of Pandemic …
- PLoS Pathogens: Influenza Virus Transmission Is Dependent on …
- PLoS Biology – Whole-Genome Analysis of Human Influenza A Virus …
- PLoS Biology – Pandemic Influenza: The Inside Story
- PLoS Pathogens: H5N1 and 1918 Pandemic Influenza Virus Infection …
- PLoS ONE: Replication and Transmission of H9N2 Influenza Viruses …
- PLoS ONE: Estimation of Influenza Vaccine Effectiveness from …
- PLoS Medicine – Reducing the Impact of the Next Influenza Pandemic …
- PLoS Medicine – A Systematic Analytic Approach to Pandemic …
- Cellular Proteins in Influenza Virus Particles
- Evolutionary Dynamics and Emergence of Panzootic H5N1 Influenza Viruses
- Influenza Virus Transmission Is Dependent on Relative Humidity and Temperature
- Changing Selective Pressure during Antigenic Changes in Human Influenza H3
- Stochastic Processes Are Key Determinants of Short-Term Evolution in Influenza A Virus
- Spatial, Temporal, and Species Variation in Prevalence of Influenza A Viruses in Wild Migratory Birds
- Multiple Reassortment Events in the Evolutionary History of H1N1 Influenza A Virus Since 1918
- Evolutionary and Transmission Dynamics of Reassortant H5N1 Influenza Virus in Indonesia
- Patterns of Evolution and Host Gene Mimicry in Influenza and Other RNA Viruses
- Influenza in Migratory Birds and Evidence of Limited Intercontinental Virus Exchange
- The Evolutionary Genetics and Emergence of Avian Influenza Viruses in Wild Birds
- Phylogenetic Analysis Reveals the Global Migration of Seasonal Influenza A Viruses
- Growth of H5N1 Influenza A Viruses in the Upper Respiratory Tracts of Mice
- Estimation of Transmission Parameters of H5N1 Avian Influenza Virus in Chickens
- Molecular Epidemiology of A/H3N2 and A/H1N1 Influenza Virus during a Single Epidemic Season in the United States
- Evidence of Infection by H5N2 Highly Pathogenic Avian Influenza Viruses in Healthy Wild Waterfowl
- Superior Immunogenicity of Inactivated Whole Virus H5N1 Influenza Vaccine is Primarily Controlled by Toll-like Receptor Signalling
- Genetic Compatibility and Virulence of Reassortants Derived from Contemporary Avian H5N1 and Human H3N2 Influenza A Viruses
- Domestic Pigs Have Low Susceptibility to H5N1 Highly Pathogenic Avian Influenza Viruses
- Influenza in Tropical Regions
- A Comparative Analysis of Influenza Vaccination Programs
- Influenza-Associated Hospitalization in a Subtropical City
- Delaying the International Spread of Pandemic Influenza
- Antiviral Resistance and the Control of Pandemic Influenza
- Influenza-Associated Hospitalization in a Subtropical City
- Health Benefits of Universal Influenza Vaccination Strategy
- Influenza Pandemic Vaccines: Spread Them Thin?
- Mapping Antibody Epitopes of the Avian H5N1 Influenza Virus
- Air Travel and the Spread of Influenza: Authors’ Reply
- Test Your Knowledge: Ten Questions about Influenza
- A Step Closer to Meeting the Threat of Avian Influenza
- Sharing H5N1 Viruses to Stop a Global Influenza Pandemic
- Air Travel and the Spread of Influenza: Important Caveats
- Correction: Air Travel and the Spread of Influenza: Important Caveats
- A Systematic Analytic Approach to Pandemic Influenza Preparedness Planning
- Can Immunity Induced by the Human Influenza Virus N1 Neuraminidase Provide Some Protection from Avian Influenza H5N1 Viruses?
- Optimizing the Dose of Pre-Pandemic Influenza Vaccines to Reduce the Infection Attack Rate
- Pandemic Influenza: Risk of Multiple Introductions and the Need to Prepare for Them
- The Effect of Universal Influenza Immunization on Mortality and Health Care Use
- Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions
- Priority Setting for Pandemic Influenza: An Analysis of National Preparedness Plans
- Prophylactic and Therapeutic Efficacy of Human Monoclonal Antibodies against H5N1 Influenza
- Monitoring the Impact of Influenza by Age: Emergency Department Fever and Respiratory Complaint Surveillance in New York City
- Antigenic Fingerprinting of H5N1 Avian Influenza Using Convalescent Sera and Monoclonal Antibodies Reveals Potential Vaccine and Diagnostic Targets
- Empirical Evidence for the Effect of Airline Travel on Inter-Regional Influenza Spread in the United States
- Neuraminidase Antibodies and H5N1: Geographic-Dependent Influenza Epidemiology Could Determine Cross-Protection against Emerging Strains
- Live, Attenuated Influenza A H5N1 Candidate Vaccines Provide Broad Cross-Protection in Mice and Ferrets
- The Effects of Influenza Vaccination of Health Care Workers in Nursing Homes: Insights from a Mathematical Model
- Reducing the Impact of the Next Influenza Pandemic Using Household-Based Public Health Interventions
- Can Influenza Epidemics Be Prevented by Voluntary Vaccination?
- The Role of Environmental Transmission in Recurrent Avian Influenza Epidemics
- Neuraminidase Inhibitor Resistance in Influenza: Assessing the Danger of Its Generation and Spread
- Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry
- Inferring Stabilizing Mutations from Protein Phylogenies: Application to Influenza Hemagglutinin
- Detecting Emerging Transmissibility of Avian Influenza Virus in Human Households
- On State-Space Reduction in Multi-Strain Pathogen Models, with an Application to Antigenic Drift in Influenza A
- Transmissibility of the Influenza Virus in the 1918 Pandemic
- Synchrony of Clinical and Laboratory Surveillance for Influenza in Hong Kong
- Transdermal Influenza Immunization with Vaccine-Coated Microneedle Arrays
- The Impact of the Unstructured Contacts Component in Influenza Pandemic Modeling
- Influenza Virus in Human Exhaled Breath: An Observational Study
- Panorama Phylogenetic Diversity and Distribution of Type A Influenza Virus
- The Waiting Time for Inter-Country Spread of Pandemic Influenza
- Is Exercise Protective Against Influenza-Associated Mortality?
- Augmented Lung Inflammation Protects against Influenza A Pneumonia
- Predicting Pneumonia and Influenza Mortality from Morbidity Data
- Cross-Clade Protective Immune Responses to Influenza Viruses with H5N1 HA and NA Elicited by an Influenza Virus-Like Particle
- Baseline Levels of Influenza-Specific CD4 Memory T-Cells Affect T-Cell Responses to Influenza Vaccines
- A Biological Model for Influenza Transmission: Pandemic Planning Implications of Asymptomatic Infection and Immunity
- Estimation of Influenza Vaccine Effectiveness from Routine Surveillance Data
- Evolutionarily Conserved Protein Sequences of Influenza A Viruses, Avian and Human, as Vaccine Targets
- Activation of Interleukin-32 Pro-Inflammatory Pathway in Response to Influenza A Virus Infection
- Host Genetic Background Strongly Influences the Response to Influenza A Virus Infections
- Influenza A H5N1 Immigration Is Filtered Out at Some International Borders
- Environmental Factors Contributing to the Spread of H5N1 Avian Influenza in Mainland China
- Population-Wide Emergence of Antiviral Resistance during Pandemic Influenza
A blog posting of my email signature to reduce clutter.
Jonathan A. Eisen, Ph.D
Dept. of Medical Microbiology & Immunology, School of Medicine
Adjunct Scientist,
DOE Joint Genome InstituteMailing address:
UC Davis Genome Center
451 East Health Sciences Drive
Davis, CA 95616-8816
Blog:
http://phylogenomics.blogspot.com/Twitter: http://twitter.com/phylogenomics/
FriendFeed: http://friendfeed.com/treeoflife/
LinkedIn: http://www.linkedin.com/in/jonathaneisen
————————————————————–
Support open access to scientific literature:http://www.publiclibraryofscience.org
————————————————————–
In order to reduce the length of my signature in my email, I am posting my signature here and then am tinyurling the link in order to make it as short as possible and not clutter up my email (so now my signature reads http://tinyurl.com/jonathaneisen). I do not know if anyone else does this or if there is a better way to do it I would love to know. I have deleted the phone # and email address portions of this but it does have most else.
Genome sequences are not enough
For those interested in either ciliates like Tetrahymena species or how to make sure that a genome sequence is broadly useful to a community of researchers, this email I just got might be of interest. Basically, in a nutshell, a consortium (of which I led in the past – see our main genome paper in PLoS Biology here and a follow up paper in BMC Genomics here) has been sequencing the genome of Tetrahymena thermophila a really cool ciliate (one clade of eukaryotes) that has been a model organism for much molecular and cellular work. As part of the NIH portion of funding for sequencing the genome we subcontracted Mike Cherry at Stanford to create the Tetrahymena Genome Database (TGD) based upon his highly successful Saccharomyces Genome Database (SGD). Now that the grant is over, there is no support for TGD anymore and it is going to at some point become obsolete. Fortunately, there is support (see email) for a Tetrahymena Stock Center to provide resources to the community like strains and now it looks like this stock center will also take on the task of helping maintain the TGD (with Nick Stover, who used to work at TGD). Great news and might give some people something to think about in terms of building and maintaining resources for other genome sequencing projects.
Dear Tetrahymena Community members,
We are delighted to announce that the Tetrahymena Stock Center has been awarded funding by NIH and the National Center for Research Resources (NCRR).
We are very grateful to NIH for continued funding, and to all the members of the Tetrahymena community who have supported our efforts to establish a functional stock center at Cornell University. We are excited that this new funding will allow us to expand the purview of the Stock Center and pursue several goals that will benefit the Tetrahymena community as a whole.
First, we will continue to maintain a large variety of genetic stocks in our secure facilities at Cornell University and make them available to the scientific and educational community. We are constantly seeking to expand the diversity of the strains in the Stock Center as a resource for the community at-large. We are currently are working to complete the acquisition and documentation of several large strain collections, including the critical collections developed by Dr. Eduardo Orias, Dr. Martin Gorovsky, and Dr. Joseph Frankel. In addition, we are now accepting strains from other laboratories to provide a secure site for strains they wish to share with the community. We are also actively providing strains to researchers and educators around the world. We encourage everyone to visit our updated website at http://tetrahymena.vet.cornell.edu/ . We have new expediated online ordering and have streamlined the process for depositing cells. We welcome any comments, suggestions, ideas for other things that you would like to see on this site.
Second, as part of our continuing efforts to make the Tetrahymena Stock Center as useful as possible to the entire Tetrahymena community, we have expanded the purview of the Stock Center to include support for the Tetrahymena Genome Database (TGD). TGD is no longer actively maintained at Stanford and is fast becoming outdated. We believe that making TGD operational under the auspices of the Stock Center and linking support efforts to community annotation strongly complements the overall mission of the Stock Center to facilitate the use of Tetrahymena as a research and teaching organism. We look forward to working with Dr. Nick Stover at Bradley University, who will supervise the development of a genome Wiki and further annotation of the database. Revising the TGD format will be an exciting and challenging task that we hope will involve many members of the Tetrahymena community. We will send out a more detailed explanation of the new TGD format soon. For now, we thank Dr. Mike Cherry for his continued support and help in working with Dr. Stover to make the transition to the Wiki format as easy as possible.
Finally, please continue to use the Stock Center for all of your strain needs, and don’t forget to include the costs for strain ordering in your respective grant applications. Contact us with any questions, suggestions, ideas at tetrahymenastockcenter-mailbox@cornell.edu . We look forward to working with the community to enhance the scope and function of the Tetrahymena Stock Center over the next 5 years.
Sincerely,
Ted Clark
Donna Cassidy-Hanley
Michael Eisen gives the bird to the Redsox and A’s
Yup, that is my brother, Michael Eisen, on his birthday yesterday, giving the bird to the As and Redsox. RIP Mark Fidrych.
A genomic encyclopedia of bacteria and archaea (video of my talk from the JGI user meeting)
http://www.scivee.tv/flash/embedPlayer.swf
And here are Jason Stajich’s notes on FriendFeed
Twisted Tree of Life Award #4: Hoxful Monsters Blog on "Primitive" Animals
Nothing gets me more riled up in evolutionary writings than the use of the term primitive to describe organisms on a “deep” branch in an evolutionary tree. Thus for the following tree
many people would refer to Species 1 as a primitive organism solely on the basis of this tree. In fact, I just saw this in the Hoxful Monsters blog (see here) where it says:
In April 2008, Cassey dunn et el published their famous phylogenomics work in Nature, which placed Ctenophores at the base of the tree making them most primitive animal on Earth. Before that work Sponges were considered as first animals to branch off from rest of the animals and hence occupied a most basal position in the tree of animals for long time. However, some months later another phylogenomics study carried out by Bernd Schierwater et al ; changed things dramatically by placing Trichoplax as most primitive animal replacing Ctenophores. Now a new phylogenomic study published in online section of Current Biology is making headlines , where Sponges regain their position as most primitive animal on Earth.
This is simply wrong as the term primitive, which I avoid at all costs because it is so frequently misused, should only be used to refer to features of organisms not to the branching pattern in an evolutionary tree. Forget for a minute that “primitive” implies that something else is “advanced”, as if we could determine which is which. And lets pretend instead for a minute that “primitive” could be used in an equivalent manner as “ancestral.” Ancestral is a term used to refer to features of organisms present, as the term implies, in an ancestor. Thus is the organism(s) at the node in the tree labelled with the X had some feature (e.g., lets say, they were green) and Species 4 is green while Species 1 is orange and Species 2 and 3 are purple. In this case, in terms of color, Species 4 has ancestral feature and the other species have derived features. And thus, when I am feeling generous, I will grant that one could sort of use the term primitive to say “Species 4 is primitive in terms of color.” I don’t like this usage, because primitive implies something about quality that ancestral and derived do not. But it is not so horribly wrong that I cringe.
But I would like to make two more points in terms of the way primitive is misused.
- First, even if one species had a large number of ancestral features (and thus for those features resembled an ancestral organism), that species certainly will have some derived features as well. Thus ancestral, derived, and primitive (ick) should only be used to refer to features, not organisms.
- Second, the particular position a species occupies in a tree does not tell use whether it has ancestral or derived features. Thus is my color example above, Species 1 does not have the ancestral phenotype — it has a derived one. Thus calling organisms that branch deeply in a tree “primitive” is wrong not only because it is referring to an organism not a feature but also because deep branching does not imply ancestral features.
This inaccurate use of phylogenetic trees to imply primitive features drives me batty. I was disappointed to see this phylogenetic gobbledygook being used in the HoxFul Monsters blog. And thus, Hoxful Monsters is the winner of my fourth “Twisted Tree of Life” award.
