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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Biological cybernetics 74 (1996), S. 557-567 
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract.  In various organisms loss-of-function mutations of individual genes with unexpectedly weak or no phenotypic effects in the homozygous state have been observed. In several of these cases, independent evidence shows that the respective gene products do have essential biological functions. An explanation emerging from detailed biochemical and genetic studies on such genes is that two or more genetically redundant genes contribute to that function, i.e., a group of genes that is able to substitute partially for a loss of function in one member of that group. The often-observed sequence similarity among redundant genes suggests gene duplications as a frequent source of genetic redundancy. Aside from this observation, the evolution of genetic redundancy is poorly understood. Genetic redundancy is potentially of great relevance to organismal evolution, since it may (i) ‘protect’ organisms from potentially harmful mutations, and (ii) maintain pools of functionally similar, yet diverse gene products, and thus represent a source of evolutionary novelty at the biochemical level. The question of how genetic redundancy evolves should ideally be answered by experimentation. However, the large time scales involved and insufficient quantitative understanding of the underlying regulatory pathways are likely to preclude such an approach in the foreseeable future. Preliminary answers are sought here by using a biochemically motivated model of a small but central part of a developmental pathway. Sets of transcription regulators are modeled that mutually regulate each other’s expression and thereby form stable gene expression patterns. It is then studied how genetic redundancy caused by gene duplications might evolve in such networks. The results obtained suggest that redundancy may, at least in some cases, be a global property of gene interactions within a regulatory pathway, rather than a local property of genes in that pathway. They also raise the possibility that duplications of a whole regulatory gene network, as may have taken place during the evolution of HOM/Hox genes in chordates, are less likely to be reversible (by gene deletions) than duplications of individual network genes. These findings are discussed with reference to experimental evidence on the evolution of HOM/Hox genes.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Biological cybernetics 74 (1996), S. 557-567 
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract In various organisms loss-of-function mutations of individual genes with unexpectedly weak or no phenotypic effects in the homozygous state have been observed. In several of these cases, independent evidence shows that the respective gene products do have essential biological functions. An explanation emerging from detailed biochemical and genetic studies on such genes is that two or more genetically redundant genes contribute to that function, i.e., a group of genes that is able to substitute partially for a loss of function in one member of that group. The often-observed sequence similarity among redundant genes suggests gene duplications as a frequent source of genetic redundancy. Aside from this observation, the evolution of genetic redundancy is poorly understood. Genetic redundancy is potentially of great relevance to organismal evolution, since it may (i) ‘protect’ organisms from potentially harmful mutations, and (ii) maintain pools of functionally similar, yet diverse gene products, and thus represent a source of evolutionary novelty at the biochemical level. The question of how genetic redundancy evolves should ideally be answered by experimentation. However, the large time scales involved and insufficient quantitative understanding of the underlying regulatory pathways are likely to preclude such an approach in the foreseeable future. Preliminary answers are sought here by using a biochemically motivated model of a small but central part of a developmental pathway. Sets of transcription regulators are modeled that mutually regulate each other's expression and thereby form stable gene expression patterns. It is then studied how genetic redundancy caused by gene duplications might evolve in such networks. The results obtained suggest that redundancy may, at least in some cases, be a global property of gene interactions within a regulatory pathway, rather than a local property of genes in that pathway. They also raise the possibility that duplications of a whole regulatory gene network, as may have taken place during the evolution of HOM/Hox genes in chordates, are less likely to be reversible (by gene deletions) than duplications of individual network genes. These findings are discussed with reference to experimental evidence on the evolution of HOM/Hox genes.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature America Inc.
    Nature genetics 24 (2000), S. 355-361 
    ISSN: 1546-1718
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Medicine
    Notes: [Auszug] There are two principal mechanisms that are responsible for the ability of an organism's physiological and developmental processes to compensate for mutations. In the first, genes have overlapping functions, and loss-of-function mutations in one gene will have little phenotypic effect if there ...
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature America Inc.
    Nature biotechnology 18 (2000), S. 1121-1122 
    ISSN: 1546-1696
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: [Auszug] Genome sequencing is now advancing at a frenetic pace, which has the consequence that many organisms now being sequenced have not had their biochemistry extensively studied. Thus, the metabolic phenotype of these organisms has to be determined using annotated genome sequence data. Ideally, this ...
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  • 5
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature genetics 34 (2003), S. 264-266 
    ISSN: 1546-1718
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Medicine
    Notes: [Auszug] Convergent evolution is a potent indicator of optimal design. We show here that convergent evolution occurs in genetic networks. Specifically, we show that multiple types of transcriptional regulation circuitry in Escherichia coli and the yeast Saccharomyces cerevisiae have evolved independently ...
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Naturwissenschaften 85 (1998), S. 117-120 
    ISSN: 1432-1904
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Biology and philosophy 14 (1999), S. 83-101 
    ISSN: 1572-8404
    Keywords: ceteris paribus ; epistasis ; nonlinear gene interactions ; polygenic diseases ; regular causes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Philosophy
    Notes: Abstract Systems involving many interacting variables are at the heart of the natural and social sciences. Causal language is pervasive in the analysis of such systems, especially when insight into their behavior is translated into policy decisions. This is exemplified by economics, but to an increasing extent also by biology, due to the advent of sophisticated tools to identify the genetic basis of many diseases. It is argued here that a regularity notion of causality can only be meaningfully defined for systems with linear interactions among their variables. For the vastly more important class of nonlinear systems, no such notion is likely to exist. This thesis is developed with examples of dynamical systems taken mostly from mathematical biology. It is discussed with particular reference to the problem of causal inference in complex genetic systems, systems for which often only statistical characterizations exist.
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  • 8
    Publication Date: 2018-03-26
    Description: Much of gene regulation is carried out by proteins that bind DNA or RNA molecules at specific sequences. One class of such proteins is transcription factors, which bind short DNA sequences to regulate transcription. Another class is RNA binding proteins, which bind short RNA sequences to regulate RNA maturation, transport, and stability. Here, we study the robustness and evolvability of these regulatory mechanisms. To this end, we use experimental binding data from 172 human and fruit fly transcription factors and RNA binding proteins as well as human polymorphism data to study the evolution of binding sites in vivo. We find little difference between the robustness of regulatory protein–RNA interactions and transcription factor–DNA interactions to DNA mutations. In contrast, we find that RNA-mediated regulation is less evolvable than transcriptional regulation, because mutations are less likely to create interactions of an RNA molecule with a new RNA binding protein than they are to create interactions of a gene regulatory region with a new transcription factor. Our observations are consistent with the high level of conservation observed for interactions between RNA binding proteins and their target molecules as well as the evolutionary plasticity of regulatory regions bound by transcription factors. They may help explain why transcriptional regulation is implicated in many more evolutionary adaptations and innovations than RNA-mediated gene regulation.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 9
    Publication Date: 2015-09-21
    Description: How biological systems such as proteins achieve robustness to ubiquitous perturbations is a fundamental biological question. Such perturbations include errors that introduce phenotypic mutations into nascent proteins during the translation of mRNA. These errors are remarkably frequent. They are also costly, because they reduce protein stability and help create toxic misfolded proteins. Adaptive evolution might reduce these costs of protein mistranslation by two principal mechanisms. The first increases the accuracy of translation via synonymous “high fidelity” codons at especially sensitive sites. The second increases the robustness of proteins to phenotypic errors via amino acids that increase protein stability. To study how these mechanisms are exploited by populations evolving in the laboratory, we evolved the antibiotic resistance gene TEM-1 in Escherichia coli hosts with either normal or high rates of mistranslation. We analyzed TEM-1 populations that evolved under relaxed and stringent selection for antibiotic resistance by single molecule real-time sequencing. Under relaxed selection, mistranslating populations reduce mistranslation costs by reducing TEM-1 expression. Under stringent selection, they efficiently purge destabilizing amino acid changes. More importantly, they accumulate stabilizing amino acid changes rather than synonymous changes that increase translational accuracy. In the large populations we study, and on short evolutionary timescales, the path of least resistance in TEM-1 evolution consists of reducing the consequences of translation errors rather than the errors themselves.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 10
    Publication Date: 2015-09-23
    Description: Phenotypic capacitance refers to the ability of a genome to accumulate mutations that are conditionally hidden and only reveal phenotype-altering effects after certain environmental or genetic changes. Capacitance has important implications for the evolution of novel forms and functions, but experimentally studied mechanisms behind capacitance are mostly limited to complex, multicomponent systems often involving several interacting protein molecules. Here we demonstrate phenotypic capacitance within a much simpler system, an individual RNA molecule with catalytic activity (ribozyme). This naturally occurring RNA molecule has a modular structure, where a scaffold module acts as an intramolecular chaperone that facilitates folding of a second catalytic module. Previous studies have shown that the scaffold module is not absolutely required for activity, but dramatically decreases the concentration of magnesium ions required for the formation of an active site. Here, we use an experimental perturbation of magnesium ion concentration that disrupts the folding of certain genetic variants of this ribozyme and use in vitro selection followed by deep sequencing to identify genotypes with altered phenotypes (catalytic activity). We identify multiple conditional mutations that alter the wild-type ribozyme phenotype under a stressful environmental condition of low magnesium ion concentration, but preserve the phenotype under more relaxed conditions. This conditional buffering is confined to the scaffold module, but controls the catalytic phenotype, demonstrating how modularity can enable phenotypic capacitance within a single macromolecule. RNA’s ancient role in life suggests that phenotypic capacitance may have influenced evolution since life’s origins.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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