The Role of Translocation and Selection in the Emergence of Genetic Clusters and Modules

2007 ◽  
Vol 13 (3) ◽  
pp. 249-258 ◽  
Author(s):  
David Newth ◽  
David G. Green

Biomolecular studies point increasingly to the importance of modularity in the organization of the genome. Processes such as the maintenance of metabolism are controlled by suites of genes that act as distinct, self-contained units, or modules. One effect is to promote stability of inherited characters. Despite the obvious importance of genetic modules, the mechanisms by which they form and persist are not understood. One clue is that functionally related genes tend to cluster together. Here we show that genetic translocation, recombination, and natural selection play a central role in this process. We distill the question of emerging genetic modularity into three simulation experiments that show: (1) a tendency, under natural selection, for essential genes to co-locate on the same chromosome and to settle in fixed loci; (2) that genes associated with a particular function tend to form functional clusters; and (3) that genes within a functional cluster tend to become arranged in transcription order. The results also imply that high proportions of junk DNA are essential to the process.

2017 ◽  
Vol 114 (8) ◽  
pp. E1305-E1305 ◽  
Author(s):  
Philipp Mitteroecker ◽  
Simon M. Huttegger ◽  
Barbara Fischer ◽  
Mihaela Pavlicev

2016 ◽  
Vol 3 (11) ◽  
pp. 160496 ◽  
Author(s):  
Bradly Alicea

To examine the role of natural selection in fecundity in a variety of Caenorhabditis elegans genetic backgrounds, we used an experimental evolution protocol to evolve 14 distinct genetic strains over 15–20 generations. We were able to generate 790 distinct genealogies, which provided information on both the effects of natural selection and the evolvability of each strain. Among these genotypes are a wild-type (N2) and a collection of mutants with targeted mutations in the daf-c, daf-d and AMPK pathways. Differences are observed in reproductive fitness along with related changes in reproductive timing. The majority of selective effects on fecundity occur during the first few generations of evolution, while the negative selection for reproductive timing occurs on longer time scales. In addition, positive selection on fecundity results in positive and negative strain-dependent selection on reproductive timing. A derivative of population size per generation called reproductive carry-over (RCO) may be informative in terms of developmental selection. While these findings transcend mutations in a specific gene, changes in the RCO measure may nevertheless be products of selection. In conclusion, the broader implications of these findings are discussed, particularly in the context of genotype-fitness maps and the role of uncharacterized mutations in individual variation and evolvability.


2019 ◽  
Vol 2019 (1) ◽  
pp. 232-241
Author(s):  
Jiwoo Ha ◽  
Ryan Martinson ◽  
Sage K Iwamoto ◽  
Akihiro Nishi

Abstract It is known that there has been positive natural selection for hemoglobin S and C in humans despite negative health effects, due to its role in malaria resistance. However, it is not well understood, if there has been natural selection for hemoglobin E (HbE), which is a common variant in Southeast Asia. Therefore, we reviewed previous studies and discussed the potential role of natural selection in the prevalence of HbE. Our review shows that in vitro studies, evolutionary genetics studies and epidemiologic studies largely support an involvement of natural selection in the evolution of HbE and a protective role of HbE against malaria infection. However, the evidence is inconsistent, provided from different regions, and insufficient to perform an aggregated analysis such as a meta-analysis. In addition, few candidate gene, genome-wide association or epistasis studies, which have been made possible with the use of big data in the post-genomic era, have investigated HbE. The biological pathways linking HbE and malaria infection have not yet been fully elucidated. Therefore, further research is necessary before it can be concluded that there was positive natural selection for HbE due to protection against malaria. Lay summary: Our review shows that evidence largely supports an involvement of natural selection in the evolution of HbE and a protective role of HbE against malaria. However, the evidence is not consistent. Further research is necessary before it is concluded.


2019 ◽  
Vol 38 (1) ◽  
pp. 72-102
Author(s):  
Luis Manuel Sanchez

The uses of natural selection argument in politics have been constant since Charles Darwin’s times. They have also been varied. The readings of Darwin’s theory range from the most radically individualist views, as in orthodox socio-Darwinism, to the most communitarian, as in Peter Kropotkin’s and other socialist perspectives. This essay argues that such diverse, contradictory, and sometimes even outrageous political derivations from Darwin’s theory may be partially explained by some incompleteness and ambivalences underlying Darwin’s concepts. “Natural selection,” “struggle for existence,” and “survival of the fittest” are open concepts and may suggest some hierarchical and segregationist interpretations. Circumstantially, Darwin accepted social “checks,” such as discouraging marriage of “lower” individuals to prevent them from reproducing, in a vein of Malthusian politics. This makes Darwin’s theory of selection by struggle collide with his theory of social instincts, by which he explains the origins of morality. It also favors reading Darwin’sOn the Origin of SpeciesorThe Descent of Manfrom opposite, mostly ideological perspectives. Darwin’s position is ambivalent, although hardly unreasonable. The recognition he makes of social instincts, as well as the use of the concept of artificial selection, entails accepting the role of human consciousness, by which social evolution cannot be reduced to natural evolution, as socio-Darwinians did next and as some neo-Darwinists seem to repeat. On these grounds, this essay argues the inadequacy of the conventional model of natural selection for understanding politics. If we want to describe politics in Darwin’s language,artificialrather thannatural selectionwould be the concept that performs better for explaining the courses of politics in real society.


Author(s):  
Steven E. Vigdor

Chapter 7 describes the fundamental role of randomness in quantum mechanics, in generating the first biomolecules, and in biological evolution. Experiments testing the Einstein–Podolsky–Rosen paradox have demonstrated, via Bell’s inequalities, that no local hidden variable theory can provide a viable alternative to quantum mechanics, with its fundamental randomness built in. Randomness presumably plays an equally important role in the chemical assembly of a wide array of polymer molecules to be sampled for their ability to store genetic information and self-replicate, fueling the sort of abiogenesis assumed in the RNA world hypothesis of life’s beginnings. Evidence for random mutations in biological evolution, microevolution of both bacteria and antibodies and macroevolution of the species, is briefly reviewed. The importance of natural selection in guiding the adaptation of species to changing environments is emphasized. A speculative role of cosmological natural selection for black-hole fecundity in the evolution of universes is discussed.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yunqi Bu ◽  
Johannes Lederer

Abstract Graphical models such as brain connectomes derived from functional magnetic resonance imaging (fMRI) data are considered a prime gateway to understanding network-type processes. We show, however, that standard methods for graphical modeling can fail to provide accurate graph recovery even with optimal tuning and large sample sizes. We attempt to solve this problem by leveraging information that is often readily available in practice but neglected, such as the spatial positions of the measurements. This information is incorporated into the tuning parameter of neighborhood selection, for example, in the form of pairwise distances. Our approach is computationally convenient and efficient, carries a clear Bayesian interpretation, and improves standard methods in terms of statistical stability. Applied to data about Alzheimer’s disease, our approach allows us to highlight the central role of lobes in the connectivity structure of the brain and to identify an increased connectivity within the cerebellum for Alzheimer’s patients compared to other subjects.


2010 ◽  
Vol 23 (10) ◽  
pp. 2163-2175 ◽  
Author(s):  
J. PÉREZ-ALQUICIRA ◽  
F. E. MOLINA-FREANER ◽  
D. PIÑERO ◽  
S. G. WELLER ◽  
E. MARTÍNEZ-MEYER ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document