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Full-Text Articles in Biology

The Bradyrhizobium Japonicum Fega Gene Encodes An Iron-Regulated Outer Membrane Protein With Similarity To Hydroxamate-Type Siderophore Receptors., Kristin Levier, Mary Lou Guerinot Dec 1996

The Bradyrhizobium Japonicum Fega Gene Encodes An Iron-Regulated Outer Membrane Protein With Similarity To Hydroxamate-Type Siderophore Receptors., Kristin Levier, Mary Lou Guerinot

Dartmouth Scholarship

Iron is important in the symbiosis between soybean and its nitrogen-fixing endosymbiont Bradyrhizobium japonicum, yet little is known about rhizobial iron acquisition strategies. Analysis of outer membrane proteins (OMPs) from B. japonicum 61A152 identified three iron-regulated OMPs in the size range of several known receptors for Fe(III)-scavenging siderophores. One of the iron-regulated proteins, FegA, was purified and microsequenced, and a reverse genetics approach was used to clone a fegA-containing DNA fragment. Sequencing of this fragment revealed a single open reading frame of 750 amino acids. A putative N-terminal signal sequence of 14 amino acids which would result in a mature …


Trade-Offs, Food Web Structure, And The Coexistence Of Habitat Specialists And Generalists, Mark A. Mcpeek Nov 1996

Trade-Offs, Food Web Structure, And The Coexistence Of Habitat Specialists And Generalists, Mark A. Mcpeek

Dartmouth Scholarship

Species differ greatly in the breadth of their environmental distributions. Within the same collection of habitats, some species occur in many habitats, while others are only able to exist in one of a few. Trade-offs in the abilities of species to perform in various ecological interactions are important both to facilitating species coexistence within a habitat and to limiting the distributions of species among habitats. In this article I use a food web model to explore how in the same collection of habitats some species may be limited by trade-offs to occupying only one habitat, while other species may face …


Reversal Of Cell Fate Determination In Caenorhabditis Elegans Vulval Development, Susan Euling, Victor Ambros Apr 1996

Reversal Of Cell Fate Determination In Caenorhabditis Elegans Vulval Development, Susan Euling, Victor Ambros

Dartmouth Scholarship

In Caenorhabditis elegans, the fates of the multipotent vulval precursor cells (VPCs) are specified by intercellular signals, The VPCs divide in the third larval stage (L3) of the wild type, producing progeny of determined cell types, In lin-28 mutants, vulva development is similar to wild-type vulva development except that it occurs precociously, in the second larval stage (L2), Consequently, when lin-28 hermaphrodites temporarily arrest development at the end of L2 in the dauer larva stage, these otherwise determined VPC progeny become reprogrammed back to the multipotent, signal- sensitive state of VPCs. Our results indicate that VPC fate determination by intercellular …


On The Mutability Of Genes And Geneticists: The "Americanization" Of Richard Goldschmidt And Victor Jollos, Michael Dietrich Jan 1996

On The Mutability Of Genes And Geneticists: The "Americanization" Of Richard Goldschmidt And Victor Jollos, Michael Dietrich

Dartmouth Scholarship

No abstract provided.


Monte Carlo Experiments And The Defense Of Diffusion Models In Molecular Population Genetics, Michael Dietrich Jan 1996

Monte Carlo Experiments And The Defense Of Diffusion Models In Molecular Population Genetics, Michael Dietrich

Dartmouth Scholarship

In the 1960s molecular population geneticists used Monte Carlo experiments to evaluate particular diffusion equation models. In this paper I examine the nature of this comparative evaluation and argue for three claims: first, Monte Carlo experiments are genuine experiments: second, Monte Carlo experiments can provide an important means for evaluating the adequacy of highly idealized theoretical models; and, third, the evaluation of the computational adequacy of a diffusion model with Monte Carlo experiments is significantly different from the evaluation of the empirical adequacy of the same diffusion model.