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Biomedical subjects

L F Landweber

Publications and source records attributed to L F Landweber.

At least 19 recordsLinked to original sources
PubMed2001

A simple model based on mutation and selection explains trends in codon and amino-acid usage and GC composition within and across genomes.

BACKGROUND: Correlations between genome composition (in terms of GC content) and usage of particular codons and amino acids have been widely reported, but poorly explained. We show here that a simple model of processes acting at the nucleotide level explains codon usage across a large sample of species (311 bacteria, 28 archaea and 257 eukaryotes). The model quantitatively predicts responses (slope and intercept of the regression line on genome GC content) of individual codons and amino acids to genome composition. RESULTS: Codons respond to genome composition on the basis of their GC content relative to their synonyms (explaining 71-87% of the variance in response among the different codons, depending on measure). Amino-acid responses are determined by the mean GC content of their codons (explaining 71-79% of the variance). Similar trends hold for genes within a genome. Position-dependent selection for error minimization explains why individual bases respond differently to directional mutation pressure. CONCLUSIONS: Our model suggests that GC content drives codon usage (rather than the converse). It unifies a large body of empirical evidence concerning relationships between GC content and amino-acid or codon usage in disparate systems. The relationship between GC content and codon and amino-acid usage is ahistorical; it is replicated independently in the three domains of living organisms, reinforcing the idea that genes and genomes at mutation/selection equilibrium reproduce a unique relationship between nucleic acid and protein composition. Thus, the model may be useful in predicting amino-acid or nucleotide sequences in poorly characterized taxa.

Amino Acids↗
PubMed2001

The molecular basis of nuclear genetic code change in ciliates.

BACKGROUND: The nuclear genetic code has changed in several lineages of ciliates. These changes, UAR to glutamine and UGA to cysteine, imply that eukaryotic release factor 1 (eRF1), the protein that recognizes stop codons and terminates translation, changes specificity. Here we test whether changes in eRF1 drive genetic code evolution. RESULTS: Database sequence analysis reveals numerous genetic code alterations in ciliates, including UGA --> tryptophan in Blepharisma americanum and the distantly related Colpoda. We sequenced eRF1 from four ciliates: B. americanum, a heterotrich that independently derived the same eRF1 specificity as Euplotes, and three spirotrichs, Stylonychia lemnae, S. mytilus, and Oxytricha trifallax, that independently derived the same genetic code as Tetrahymena (UAR --> glutamine). Distantly related ciliates with similar codes show characteristic changes in eRF1. We used a sliding window analysis to test associations between changes in specific eRF1 residues and changes in the genetic code. The regions of eRF1 that display convergent substitutions are identical to those identified in a recently reported nonsense suppression mutant screen in yeast. CONCLUSIONS: Genetic code change by stop codon reassignment is surprisingly frequent in ciliates, with UGA --> tryptophan occurring twice independently. This is the first description of this code, previously found only in bacteria and mitochondria, in a eukaryotic nuclear genome. eRF1 has evolved strikingly convergently in lineages with variant genetic codes. The strong concordance with biochemical data indicates that our methodology may be generally useful for detecting molecular determinants of biochemical changes in evolution.

Amino Acid Sequence↗
PubMed2001

Rewiring the keyboard: evolvability of the genetic code.

The genetic code evolved in two distinct phases. First, the 'canonical' code emerged before the last universal ancestor; subsequently, this code diverged in numerous nuclear and organelle lineages. Here, we examine the distribution and causes of these secondary deviations from the canonical genetic code. The majority of non-standard codes arise from alterations in the tRNA, with most occurring by post-transcriptional modifications, such as base modification or RNA editing, rather than by substitutions within tRNA anticodons.

Animals↗
PubMed2001

Genview and Gencode : a pair of programs to test theories of genetic code evolution.

GENVIEW: and GENCODE: are tools for testing the adaptive nature of a genetic code under different assumptions about patterns of genetic error and the nature of amino acid similarity. GENVIEW: provides a user friendly, point-and-click interface by which a user may reproduce and extend analysis of the adaptive properties of the standard genetic code or any of its secondary derivatives. GENVIEW: is a graphical user interface (GUI) program which runs on Linux, Unix and Microsoft Windows platforms and is based on the GTKf + toolkit. GENVIEW: outputs ASCII configuration files which are interpreted by GENCODE: to perform an analysis. GENCODE: is available for the same platforms as GENVIEW.

Evolution, Molecular↗
PubMed2000

Testing a biosynthetic theory of the genetic code: fact or artifact?

It has long been conjectured that the canonical genetic code evolved from a simpler primordial form that encoded fewer amino acids [e.g., Crick, F. H. C. (1968) J. Mol. Biol. 38, 367-379]. The most influential form of this idea, "code coevolution" [Wong, J. T.-F. (1975) Proc. Natl. Acad. Sci. USA 72, 1909-1912], proposes that the genetic code coevolved with the invention of biosynthetic pathways for new amino acids. It further proposes that a comparison of modern codon assignments with the conserved metabolic pathways of amino acid biosynthesis can inform us about this history of code expansion. Here we re-examine the biochemical basis of this theory to test the validity of its statistical support. We show that the theory's definition of "precursor-product" amino acid pairs is unjustified biochemically because it requires the energetically unfavorable reversal of steps in extant metabolic pathways to achieve desired relationships. In addition, the theory neglects important biochemical constraints when calculating the probability that chance could assign precursor-product amino acids to contiguous codons. A conservative correction for these errors reveals a surprisingly high 23% probability that apparent patterns within the code are caused purely by chance. Finally, even this figure rests on post hoc assumptions about primordial codon assignments, without which the probability rises to 62% that chance alone could explain the precursor-product pairings found within the code. Thus we conclude that coevolution theory cannot adequately explain the structure of the genetic code.

Codon↗
PubMed2000

Mitochondrial RNAs of myxomycetes terminate with non-encoded 3' poly(U) tails.

We examined the 3' ends of edited RNAs from the myxomycetes Stemonitis flavogenita and Physarum polycephalum using a modified anchor PCR approach. Surprisingly, we found that poly(A) tails are missing from the cytochrome c oxidase subunit 1 mRNA (coI) from both species and the cytochrome c oxidase subunit 3 mRNA (cox3) from P. polycephalum. Instead, non-encoded poly(U) tails of varying length were discovered at the 3' ends of these transcripts. These are the first described examples of 3' poly(U) tails on mature mRNAs in any system.

3' Untranslated Regions↗
PubMed2000

Phylogenetic invariants and geometry.

The method of invariants is an important approach in biology for determining phylogenetic information which avoids the problems involving long branch lengths that plague some other methods. In this paper, we present a geometric framework underlying the method of invariants. This perspective sheds new lights on problems in the field. It has recently enabled the solution of questions on the number and structure of phylogenetic invariants and suggests possible avenues for future empirical and theoretical research.

Animals↗
PubMed2000

Evolution and assembly of an extremely scrambled gene.

The process of gene unscrambling in hypotrichous ciliates represents one of nature's ingenious solutions to the problem of gene assembly. With some essential genes scrambled in as many as 51 pieces, these ciliates rely on sequence and structural cues to rebuild their fragmented genes and genomes. Here we report the complex pattern of scrambling in the DNA polymerase alpha gene of Stylonychia lemnae. The germline (micronuclear) copy of this gene is broken into 48 pieces with 47 dispersed over two loci, with no asymmetry in the placement of coding segments on either strand. Direct repeats present at the boundaries between coding and noncoding sequences provide pointers to help guide assembly of the functional (macronuclear) gene. We investigate the evolution of this complex gene in three hypotrichous species.

Animals↗
PubMed2000

Molecular computation: RNA solutions to chess problems.

We have expanded the field of "DNA computers" to RNA and present a general approach for the solution of satisfiability problems. As an example, we consider a variant of the "Knight problem," which asks generally what configurations of knights can one place on an n x n chess board such that no knight is attacking any other knight on the board. Using specific ribonuclease digestion to manipulate strands of a 10-bit binary RNA library, we developed a molecular algorithm and applied it to a 3 x 3 chessboard as a 9-bit instance of this problem. Here, the nine spaces on the board correspond to nine "bits" or placeholders in a combinatorial RNA library. We recovered a set of "winning" molecules that describe solutions to this problem.

Algorithms↗
PubMed2000

Guilt by association: the arginine case revisited.

If the genetic code arose in an RNA world, present codon assignments may reflect primordial RNA-amino acid affinities. Whether aptamers selected from random pools to bind free amino acids do so using the cognate codons at their binding sites has been controversial. Here we defend and extend our previous analysis of arginine binding sites, and propose a model for the maintenance of codon-amino acid interactions through the evolution of amino acids from ribozyme cofactors into the building blocks of proteins.

Anticodon↗
PubMed2000

Evolution of four types of RNA editing in myxomycetes.

The myxomycete Physarum polycephalum requires extensive RNA editing to create functional mitochondrial transcripts. The cytochrome c oxidase subunit 1 (col) transcript exhibits a combination of editing forms not found together in any other eukaryotic RNA: 66 insertions of ribonucleotides (59 Cs, a single U, and three mixed dinucleotides) as well as base conversion of four Cs to Us (Gott et al., J Biol Chem, 1993, 268:25483-25486). Through a phylogenetic survey of col DNA genes and RNA transcripts in representative myxomycetes, we have decoupled the four types of editing in this lineage. Some myxomycetes share insertional editing with P. polycephalum, yet lack C--> U conversion, consistent with previous reports of separation of insertional and base conversion editing in P. polycephalum extracts (Visomirski-Robic & Gott, RNA, 1995, 3:821-837). Most remarkably, we detect unique evolutionary histories of the three different types of insertional editing, though these have been indistinguishable in vitro. For example, Clastoderma debaryanum exhibits insertions of Us, but not Cs or dinucleotides.

Amino Acid Sequence↗
PubMed2000

Early fixation of an optimal genetic code.

The evolutionary forces that produced the canonical genetic code before the last universal ancestor remain obscure. One hypothesis is that the arrangement of amino acid/codon assignments results from selection to minimize the effects of errors (e.g., mistranslation and mutation) on resulting proteins. If amino acid similarity is measured as polarity, the canonical code does indeed outperform most theoretical alternatives. However, this finding does not hold for other amino acid properties, ignores plausible restrictions on possible code structure, and does not address the naturally occurring nonstandard genetic codes. Finally, other analyses have shown that significantly better code structures are possible. Here, we show that if theoretically possible code structures are limited to reflect plausible biological constraints, and amino acid similarity is quantified using empirical data of substitution frequencies, the canonical code is at or very close to a global optimum for error minimization across plausible parameter space. This result is robust to variation in the methods and assumptions of the analysis. Although significantly better codes do exist under some assumptions, they are extremely rare and thus consistent with reports of an adaptive code: previous analyses which suggest otherwise derive from a misleading metric. However, all extant, naturally occurring, secondarily derived, nonstandard genetic codes do appear less adaptive. The arrangement of amino acid assignments to the codons of the standard genetic code appears to be a direct product of natural selection for a system that minimizes the phenotypic impact of genetic error. Potential criticisms of previous analyses appear to be without substance. That known variants of the standard genetic code appear less adaptive suggests that different evolutionary factors predominated before and after fixation of the canonical code. While the evidence for an adaptive code is clear, the process by which the code achieved this optimization requires further attention.

Amino Acids↗