Tag: Misc.
Bad omics word of the day: infectomics
Bad omics word of the day: infectomics
Coming to UCDavis, 4/23, @RebeccaSkloot discussing #HeLa book "Immortal Life of Henrietta Lacks"
Well, the date is fast approaching and I want to at least get people in the Davis area ready. Author/journalist/blogger Rebecca Skloot will be speaking at UC Davis about her new book “The Immortal Life of Henrietta Lacks.” I know from personal experience, the book is simply amazing. However, don’t trust me, trust the world out there, the reviews and press she has been getting are unlike any for really any book recently including:
- Currently #8 on the NY Times Hardcover Bestseller list
- Great reviews including in the NY Times, The Globe and Mail, the New York Times again, Publisher’s Weekly, Washington Post, Boston Globe, and so on
- Much media coverage including ABC News, CBS Sunday Morning, Fresh Air, All Things Considered
- Great blog coverage including Ed Yong’s Not Exactly Rocket Science, Boing Boing, and many others
- A growing list of followers on twitter.
- An appearance on Colbert (see below)
| The Colbert Report | Mon – Thurs 11:30pm / 10:30c | |||
| Rebecca Skloot | ||||
| http://media.mtvnservices.com/mgid:cms:item:comedycentral.com:267542 | ||||
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- She even was spoofed on April Fools, an honor I am sure.
- Title: “The Immortal Life of Henrietta Lacks (aka HeLa): The History and Ethics of Research on Human Biological Materials”
- Date: 4/23/2010
- Time: 4:00-6:00 p.m.
- Open to the public with talk plus questions plus book signing. Books will be available to purchase.
- Location: ARC Ballroom
- Sponsor: UC Davis Genome Center, Science and Technology Studies Program, University Writing Program, and Davis Humanities Institute.
- Contact: Jonathan Eisen
Most important paper ever in microbiology? Woese & Fox, 1977, discovery of archaea
Well, today in my “Microbial phylogenomics” class at UC Davis we are discussing what I think might be the most important paper (well, actually, series of papers) in the history of microbiology. The papers are the ones where Carl Woese, George Fox and colleagues outline the evidence for the existence of a “hidden” third major branch in the tree of life – what is now known as the archaea. The evidence for this third branch was first laid out in a series of papers in 1977 including:
- An ancient divergence among the bacteria. Balch WE, Magrum LJ, Fox GE, Wolfe RS, Woese CR.J Mol Evol. 1977 Aug 5;9(4):305-11.
- Classification of methanogenic bacteria by 16S ribosomal RNA characterization. Fox GE, Magrum LJ, Balch WE, Wolfe RS, Woese CR. Proc Natl Acad Sci U S A. 1977 Oct;74(10):4537-4541.
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Phylogenetic structure of the prokaryotic domain: the primary kingdoms. Woese CR, Fox GE. Proc Natl Acad Sci U S A. 1977 Nov;74(11):5088-90.
ABSTRACT A phylogenetic analysis based upon ribosomal RNA sequence characterization reveals that living sys.tems represent one of three aboriginal lines of descent: (i) the eubacteria, comprising all typical bacteria; (ii) the archaebacteria, containing methanogenic bacteria; and (iii) the urkaryotes, now represented in the cytoplasmic component of eukaryotic cells.
A comparative analysis of these data, summarized in Table 1, shows that the organisms clearly cluster into several primary kingdoms. The first of these contains all of the typical bacteria so far characterized …. (lots of names here) … It is appropriate to call this urkingdom the eubacteria.
A second group is defined by the 18S rRNAs of the eukaryotic cytoplasm-animal, plant, fungal, and slime mold (unpublished data). … (They call this lineage the urkaryotes).
Eubacteria and urkaryotes correspond approximately to the conventional categories “prokaryote” and “eukaryote” when they are used in a phylogenetic sense. However, they do not constitute a dichotomy; they do not collectively exhaust the class of living systems. There exists a third kingdom which, to date, is represented solely by the methanogenic bacteria, a relatively unknown class of anaerobes that possess a unique metabolism based on the reduction of carbon dioxide to methane (19-21). These “bacteria” appear to be no more related to typical bacteria than they are to eukaryotic cytoplasms. Although the two divisions of this kingdom appear as remote from one another as blue-green algae are from other eubacteria, they nevertheless correspond to the same biochemical phenotype. The apparent antiquity of the methanogenic phenotype plus the fact that it seems well suited to the type of environment presumed to exist on earth 3-4 billion years ago lead us tentatively to name this urkingdom the archaebacteria. Whether or not other biochemically distinct phenotypes exist in this kingdom is clearly an important question upon which may turn our concept of the nature and ancestry of the first prokaryotes.
With the identification and characterization of the urkingdoms we are for the first time beginning to see the overall phylogenetic structure of the living world. It is not structured in a bipartite way along the lines of the organizationally dissimilar prokaryote and eukaryote. Rather, it is (at least) tripartite, comprising (i) the typical bacteria, (ii) the line of descent manifested in eukaryotic cytoplasms, and (iii) a little explored grouping, represented so far only by methanogenic bacteria.
Citations
Woese CR, & Fox GE (1977). Phylogenetic structure of the prokaryotic domain: the primary kingdoms. Proceedings of the National Academy of Sciences of the United States of America, 74 (11), 5088-90 PMID: 270744
Fox GE, Magrum LJ, Balch WE, Wolfe RS, & Woese CR (1977). Classification of methanogenic bacteria by 16S ribosomal RNA characterization. Proceedings of the National Academy of Sciences of the United States of America, 74 (10), 4537-4541 PMID: 16592452
Balch WE, Magrum LJ, Fox GE, Wolfe RS, & Woese CR (1977). An ancient divergence among the bacteria. Journal of molecular evolution, 9 (4), 305-11 PMID: 408502
Some related posts
Evolution & Genomics symposium; Stanford; 4/16-4/17; open to all; gonna be good
Now this is gonna be good. Stanford. April 16-17, 2010. Evolution and Genomics Symposium including:
Prof. Andrew Clark, Cornell University delivers the David Starr Jordan Memorial Lecture, titled “How is the human population explosion affecting the genetics of complex disease?”
Prof. Johanna Schmitt, Brown University delivers the John Thomas Memorial Lecture, titled “Evolutionary genomics of plant responses to climate change.”
And many other talks including:
- Graham Coop, U.C. Davis, “Geographic patterns of adaptation in humans”
- Jonathan Eisen, U.C. Davis, “A phylogeny-driven genomic encyclopedia of bacteria and archaea”
- Hunter Fraser, Stanford, “Adaptive evolution of gene expression”
- Jessica Green, U. Oregon, “Biodiversity theory and metagenomics-based biogeography”
- Stephen Palumbi, Stanford, “Genomics of speciation and adaptation in the sea”
- Brian Simison, California Academy of Sciences, “Molluscan mitochondrial genomics”
- Jay Storz, U. Nebraska, “Genomics of high-altitude adaptation in vertebrates”
- Ward Watt, Stanford, “Evolutionary functional genomics of ecologically accessible species”
Best new omics word: the beardome – absolutely brilliant
WANTED: Used Roche GS FLX sequencer; ready to buy
Well, I have been looking around on the web for a bit and figured I should just post to my blog. We are in the market for a used Roche GS FLX sequencer. Anyone know of one for sale? We had planned to buy a new one but with the 3rd generation sequencers coming out soon it seems unwise to spend 500K on a new machine. But I like the current capabilities in the Roche GS FLX, as well as the apparently soon to be released ~1000 base pair reads. So we still would like to have the technology here at UC Davis. So if you know of one for sale, please let me know.
Looking to open access (preferably w/ CC licenses) review papers covering introduction to phylogenetic trees and methods
I am teaching a class this spring and as part of the class am having one lecture on “Phylogenetic trees and methods.” I would like to link to (and be able to mix and match material from) some review paper on this topic. So I am searching for something that is Open Access and preferably with a broad Creative Commons license. Anyone know of anything good?
JGI User Mtg Day3 notes (coming up Rita Colwell, ex head of NSF)
Here are links to the Friendfeed Notes for today
http://friendfeed.com/jgi2010/7104a5aa/rita-colwell-university-of-maryland-solving?embed=1
http://friendfeed.com/jgi2010/f73db47f/joseph-noel-salk-institute-substrate?embed=1
http://friendfeed.com/jgi2010/1d5588e4/adrian-tsang-concordia-university-fungal?embed=1
http://friendfeed.com/jgi2010/4b31edd3/tanya-woyke-jgi-genomic-sequencing-of-single?embed=1
Phyloseminar.Org 3/29 Streaming talk by Jens Lagergren on Gene Family evolution
Just got his email from the organizer of Phyloseminar.Org:
On March 29th, phyloseminar.org will present Jens Lagergren speaking
on “Probabilistic analysis of gene families with respect with gene
duplication, gene loss, and lateral gene transfer.” Abstract below.
NOTE: the seminar will begin at 10h PST, which is three hours earlier
than the previous seminars.
This is 13h Eastern Standard Time, 19h Central European Time, and 6h
in Christchurch and Auckland!
Here’s the abstract:
Incongruences between gene trees and corresponding species trees are
common. Gene duplication, gene loss, and lateral gene transfer are
three types of evolutionary events that can cause such incongruences.
I will first describe a probabilistic process that contains standard
models of nucleotide substitutions (i.e., such that underly
probabilistic methods for phylogenetic tree reconstruction) as well as
gene duplication and gene loss. This process takes place in a given
species tree and can be used to reconstruct a gene tree for a gene
family of interest and simultaneously reconcile the gene tree with the
species tree. I will describe the algorithms available for this model
and also describe how they perform on biological data compared to
competing methods. Finally, I will describe an extension of this model
that also contains lateral gene transfer and show how it performs on
synthetic data.
Hope to see you there!



