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Genome Biology 2005, 6(6):328
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Recommended
F1000 Factor 3.0


The origin and evolution of operons: the piecewise building of the proteobacterial histidine operon.
Fani R, Brilli M, Liò P
J Mol Evol 2005 Mar 60(3):378-90 [
abstract on PubMed][request from library]
Selected by | Peter Williams
Evaluated 13 May 2005

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Faculty Member Comments
Peter Williams
University of Wales Bangor, United Kingdom
MICROBIOLOGY


Hypothesis
This paper uses an analysis of the gene sequence database to present a credible model for how operons have evolved piecemeal from originally separated genes. The model used is the histidine biosynthetic operon and the analysis involves the comparison of the gene organisations in 47 proteobacteria and their correlations with the taxonomy of the host organisms.

Evaluated 13 May 2005

Must Read
F1000 Factor 6.0


The linkage disequilibrium maps of three human chromosomes across four populations reflect their demographic history and a common underlying recombination pattern.
De La Vega FM, Isaac H, Collins A, Scafe CR, Halldórsson BV, Su X, Lippert RA, Wang Y, Laig-Webster M, Koehler RT, Ziegle JS, Wogan LT, Stevens JF, Leinen KM, Olson SJ, Guegler KJ, You X, Xu LH, Hemken HG, Kalush F, Itakura M, Zheng Y, de Thé G, O'Brien SJ, Clark AG, Istrail S, Hunkapiller MW, Spier EG, Gilbert DA
Genome Res 2005 Apr 15(4):454-62 [
abstract on PubMed] [request from library]
Selected by | Pui-Yan Kwok
Evaluated 6 May 2005

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Faculty Member Comments
Pui-Yan Kwok
University of California, San Francisco, United States of America
GENOMICS & GENETICS


Confirmation
This is the first report of linkage disequilibrium (LD) maps for human chromosomes in 4 populations with common single-nucleotide polymorphisms (SNPs) at ˜10 kb intermarker spacing. It confirms previous observations that LD patterns are similar across populations, with larger LD blocks found in younger populations. The LD maps are based on LD units (LDUs) that are additive, making them more suitable for association studies. It will be interesting to see how these maps compare to those being constructed by the International HapMap Consortium.

Evaluated 6 May 2005

Must Read
F1000 Factor 6.0


Microbial Genomics as a Guide to Drug Discovery and Structural Elucidation: ECO-02301, a Novel Antifungal Agent, as an Example.
McAlpine JB, Bachmann BO, Piraee M, Tremblay S, Alarco AM, Zazopoulos E, Farnet CM
J Nat Prod 2005 Apr 68(4):493-6 [
abstract on PubMed] [request from library]
Selected by | Jean-Jacques Sanglier
Evaluated 10 May 2005

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Faculty Member Comments
Jean-Jacques Sanglier
University of Strasbourg/Cetek Corporation, France
MICROBIOLOGY


Tech Advance
This paper presents a potent strategy for the discovery of novel secondary metabolites produced by bacteria. Secondary metabolites are an important source of new drugs, antibiotics, immunosuppressants etc. However, not all microorganisms produce such compounds, a lot of substances have already been described and the redundancy is high. Therefore, novel strategies are required to increase the efficiency of such secondary metabolite projects. In this case, the structure of the genome allowed the detection of a novel antifungal compound from a Streptomyces strain. The development and automatisation of such technologies will change screening for natural products.

Evaluated 10 May 2005

Must Read
F1000 Factor 6.0


Flexibility in a Gene Network Affecting a Simple Behavior in Drosophila melanogaster.
van Swinderen B, Greenspan RJ
Genetics 2005 Apr 169(4):2151-63 [
abstract on PubMed] [request from library]
Selected by | Daniel Promislow
Evaluated 10 May 2005

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Faculty Member Comments
Daniel Promislow
University of Georgia, United States of America
ECOLOGY


Hypothesis
New Finding
Epistatic interactions and gene networks are a hot topic these days. In work that suggests these complications may be, well, even more complicated (and more interesting), Bruno van Swinderen and Ralph Greenspan analyze a network of genes that modify syntaxin, a fruit fly behavioral mutant. On their own, each of these modifier genes represses the effects of the syntaxin mutant, but when combined in pairs, their effects are very unpredictable. And what's more, these epistatic interactions are highly dependent on the genetic background in which they occur. We know that network interactions are important in organismal function. This work demonstrates that the structure of a network depends quite dramatically on the genetic context in which it is found. This work provides an important step in the ongoing attempt among networkers to move from form to function.

Evaluated 10 May 2005

Recommended
F1000 Factor 3.0


Comprehensive survey of carapacial ridge-specific genes in turtle implies co-option of some regulatory genes in carapace evolution.
Kuraku S, Usuda R, Kuratani S
Evol Dev 2005 Jan-Feb 7(1):3-17 [
abstract on PubMed] [request from library]
Selected by | Victoria Prince
Evaluated 13 May 2005

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Faculty Member Comments
Victoria Prince
University of Chicago, United States of America
DEVELOPMENTAL BIOLOGY


New Finding
This study takes a modern molecular approach to address a question that has long fascinated us: how did the turtle get his shell? In turtles, a carapacial ridge (CR) forms at the lateral margins of the carapace (dorsal shell) primordium, and induces lateral rib outgrowth. In this study, the authors take an unbiased approach to identify CR-expressed genes, using a microbead-based cDNA screening approach. They do not find new genes, but rather find genes that have acquired CR expression in the turtle lineage. Interestingly, these genes include the LEF-1 transcription factor, which taken together with nuclear localization of beta-catenin, suggests that canonical Wnt signaling may play an important role in carapace development.

Evaluated 13 May 2005













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