Research Notes: Genetic Redundancy

J Mol Biol. 2006 Sep 15.
The role of domain redundancy in genetic robustness against null mutations.
Pasek S, Risler JL, Brezellec P.
Laboratoire Statistique et Genome, UMR CNRS 8071, 523 Place des Terrasses, 91034 Evry cedex, France; Soluscience, Biopole Clermont-Limagne, Saint-Beauzire, France.

A key question in molecular genetics is why severe gene mutations often do not result in a detectable abnormal phenotype. Alternative networks are known to be a gene compensation mechanism. Gene redundancy, i.e. the presence of a duplicate gene (or paralog) elsewhere in the genome, also underpins many cases of gene dispensability. Here, we investigated the role of partial duplicate genes on dispensability, where a partial duplicate is defined as a gene that has no paralog but which codes for a protein made of domains, each of which belongs to at least another protein. The rationale behind this investigation is that, as a partial duplicate codes for a domain redundant protein, we hypothesised that its deletion might have a less severe phenotypic effect than the deletion of other genes. This prompted us to (re)address the topic of gene dispensability by focusing on domain redundancy rather than on gene redundancy. Using fitness data of single-gene deletion mutants of Saccharomyces cerevisiae, we will show that domain redundancy is a compensation mechanism, the strength of which is lower than that of gene redundancy. Finally, we shall discuss the molecular basis of this new compensation mechanism.

J Mol Biol. 2006 Jun 30.
Uncovering a hidden distributed architecture behind scale-free transcriptional regulatory networks.
Balaji S, Iyer LM, Aravind L, Babu MM.
National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.

Numerous studies in both prokaryotes and eukaryotes have shown that, under standard growth conditions, less than 20% of the protein-coding genes are essential for survival. This suggests that biological systems have evolved to have a high degree of robustness to mutational disruptions that can affect the majority of their genes. This mutational robustness could arise either due to redundancy, i.e. direct backup, or due to distributed architecture, i.e. indirect backup where multiple genes contribute to the functioning of a process in the system. Despite clear evidence for direct backup, the prevalence of indirect backup is poorly understood. In this study, we reveal the existence of a hidden distributed architecture behind the scale-free transcriptional regulatory network of yeast by applying a unique network transformation procedure and show that the network is tolerant even to mutations that disrupt regulatory hubs. Contrary to what is generally accepted, our observation that hubs can be lost or replaced in evolution suggests that this hidden distributed architecture behind scale-free networks protects the overall transcriptional program of the organism from mutations affecting major regulatory hubs. We show that the distributed architecture has been provided by an unexpectedly large number of coordinating partners for any regulatory protein. On the basis of these findings, we propose that the existence of such architecture can allow organisms to explore the adaptive landscape in changing environments by providing the plasticity required to reprogram levels of expression of specific genes that may enhance survival. Thus, an "over-engineered" backup system in the form of distributed architecture is likely to be a major determinant of the "evolvability" of the gene expression in organisms faced with environmental diversity.

Genetics. 2006 Feb.
Transcriptional reprogramming and backup between duplicate genes: is it a genomewide phenomenon? He X, Zhang J.
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.

Deleting a duplicate gene often results in a less severe phenotype than deleting a singleton gene, a phenomenon commonly attributed to functional compensation among duplicates. However, duplicate genes rapidly diverge in expression patterns after duplication, making functional compensation less probable for ancient duplicates. Case studies suggested that a gene may provide compensation by altering its expression upon removal of its duplicate copy. On the basis of this observation and a genomic analysis, it was recently proposed that transcriptional reprogramming and backup among duplicates is a genomewide phenomenon in the yeast Saccharomyces cerevisiae. Here we reanalyze the yeast data and show that the high dispensability of duplicate genes with low expression similarity is a consequence of expression similarity and gene dispensability, each being correlated with a third factor, the number of protein interactions per gene. There is little evidence supporting widespread functional compensation of divergently expressed duplicate genes by transcriptional reprogramming.

Bioessays. 2005 Feb.
Distributed robustness versus redundancy as causes of mutational robustness.
Wagner A.
Department of Biology, University of New Mexico, 167A Castetter Hall, Albuquerque, NM, USA.

A biological system is robust to mutations if it continues to function after genetic changes in its parts. Such robustness is pervasive on different levels of biological organization, from macromolecules to genetic networks and whole organisms. I here ask which of two possible causes of such robustness are more important on a genome-wide scale, for systems whose parts are genes, such as metabolic and genetic networks. The first of the two causes is redundancy of a system's parts: A gene may be dispensable if the genome contains redundant, back-up copies of the gene. The second cause, distributed robustness, is more poorly understood. It emerges from the distributed nature of many biological systems, where many (and different) parts contribute to system functions. I will here discuss evidence suggesting that distributed robustness is equally or more important for mutational robustness than gene redundancy. This evidence comes from the functional divergence of redundant genes, as well as from large-scale gene deletion studies. I also ask whether one can quantify the extent to which redundancy or distributed robustness contribute to mutational robustness.

Nature. 2003 Jan 2.
Role of duplicate genes in genetic robustness against null mutations.
Gu Z, Steinmetz LM, Gu X, Scharfe C, Davis RW, Li WH.
Department of Ecology & Evolution, University of Chicago, 1101 East 57th Street, Chicago, Illinois, USA.

Deleting a gene in an organism often has little phenotypic effect, owing to two mechanisms of compensation. The first is the existence of duplicate genes: that is, the loss of function in one copy can be compensated by the other copy or copies. The second mechanism of compensation stems from alternative metabolic pathways, regulatory networks, and so on. The relative importance of the two mechanisms has not been investigated except for a limited study, which suggested that the role of duplicate genes in compensation is negligible. The availability of fitness data for a nearly complete set of single-gene-deletion mutants of the Saccharomyces cerevisiae genome has enabled us to carry out a genome-wide evaluation of the role of duplicate genes in genetic robustness against null mutations. Here we show that there is a significantly higher probability of functional compensation for a duplicate gene than for a singleton, a high correlation between the frequency of compensation and the sequence similarity of two duplicates, and a higher probability of a severe fitness effect when the duplicate copy that is more highly expressed is deleted. We estimate that in S. cerevisiae at least a quarter of those gene deletions that have no phenotype are compensated by duplicate genes.

Proc Natl Acad Sci USA. 2002 Feb 5.
Redundancy, antiredundancy, and the robustness of genomes.
Krakauer DC, Plotkin JB.
Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, USA. [ Free full text ]

Genetic mutations that lead to undetectable or minimal changes in phenotypes are said to reveal redundant functions. Redundancy is common among phenotypes of higher organisms that experience low mutation rates and small population sizes. Redundancy is less common among organisms with high mutation rates and large populations, or among the rapidly dividing cells of multicellular organisms. In these cases, one even observes the opposite tendency: a hypersensitivity to mutation, which we refer to as antiredundancy. In this paper we analyze the evolutionary dynamics of redundancy and antiredundancy. Assuming a cost of redundancy, we find that large populations will evolve antiredundant mechanisms for removing mutants and thereby bolster the robustness of wild-type genomes; whereas small populations will evolve redundancy to ensure that all individuals have a high chance of survival. We propose that antiredundancy is as important for developmental robustness as redundancy, and is an essential mechanism for ensuring tissue-level stability in complex multicellular organisms. We suggest that antiredundancy deserves greater attention in relation to cancer, mitochondrial disease, and virus infection.