There's Plenty of Time for Evolution, PNAS
- Source: There's Plenty of Time for Evolution, Herbert S. Wilf, Warren J. Ewens, DOI: 10.1073/pnas.1016207107, PNAS, Published online before print, 2010/12/13
Y con tanta ciencia una inútil ansia de tener lástima de algo, de que llueva aquí dentro, de que por fin empiece a llover, a oler a tierra, a cosas vivas, sí, por fin a cosas vivas.
Abstract: Life is mostly composed of the elements carbon, hydrogen, nitrogen, oxygen, sulfur, and phosphorus. Although these six elements make up nucleic acids, proteins, and lipids and thus the bulk of living matter, it is theoretically possible that some other elements in the periodic table could serve the same functions. Here, we describe a bacterium, strain GFAJ-1 of the Halomonadaceae, isolated from Mono Lake, California, which substitutes arsenic for phosphorus to sustain its growth. Our data show evidence for arsenate in macromolecules that normally contain phosphate, most notably nucleic acids and proteins. Exchange of one of the major bioelements may have profound evolutionary and geochemical significance.
o Source: A Bacterium That Can Grow by Using Arsenic Instead of Phosphorus, Felisa Wolfe-Simon, et al., DOI: 10.1126/science.1197258, Science Published Online, 2010/12/02
Excerpt: Using a set of simple models, we present theoretical conditions (involving group size, and diversity of individual information) under which groups should aggregate information, or follow an expert, when faced with a binary choice. We found that, in single-shot decisions, experts are almost always more accurate than the collective across a range of conditions. However, for repeated decisions - where individuals are able to consider the success of previous decision outcomes - the collective's aggregated information is almost always superior.
o Source: Swarm Intelligence in Animal Groups: When Can a Collective Out-Perform an Expert?, Katsikopoulos KV, King AJ, DOI: 10.1371/journal.pone.0015505, PLoS ONE 5(11): e15505, October 2010
Excerpt: Information, trends, behaviors and even health states may spread between contacts in a social network, similar to disease transmission. However, a major difference is that as well as being spread infectiously, it is possible to acquire this state spontaneously. For example, you can gain knowledge of a particular piece of information either by being told about it, or by discovering it yourself. In this paper we introduce a mathematical modeling framework that allows us to compare the dynamics of these social contagions to traditional infectious diseases. (...) As an example, we study the spread of obesity (...)
§ Source: Infectious Disease Modeling of Social Contagion in Networks, Alison L. Hill, David G. Rand, Martin A. Nowak, Nicholas A. Christakis, DOI: 10.1371/journal.pcbi.1000968, PLoS Comput Biol 6(11): e1000968, 2010/11/04
Abstract Excerpt: Warfare is commonly viewed as a driving force of the process of aggregation of initially independent villages into larger and more complex political units that started several thousand years ago and quickly lead to the appearance of chiefdoms, states, and empires. Here we build on extensions and generalizations of Carneiro’s (1970) argument to develop a spatially explicit agent-based model of the emergence of early complex societies via warfare. (...) A general prediction of our model is continuous stochastic cycling in which the growth of individual polities in size, wealth/power, and complexity is interrupted by their quick collapse. (...)
o Source: Cycling in the Complexity of Early Societies, Gavrilets, Sergey, Anderson, David G, Turchin, Peter, Cliodynamics: The Journal of Theoretical and Mathematical History 1(1), 2010
Excerpt: (...) researchers who've examined preserved samples of cerebral cortex from humans and several species of ape say they've found some intriguing clues about what makes the human brain unique. They report that in a particular region of the prefrontal cortex, an area that contributes to abstract thinking and other sophisticated cognition, neurons have more space between them in the human brain than in the brains of apes. This extra space allows more room for connections between neurons (...)
o Source: New Clues About What Makes the Human Brain Special, Greg Miller, DOI: 10.1126/science.330.6008.1167, Science Vol. 330 no. 6008 p. 1167, 2010/11/26
Abstract: The occurrence of cooperation poses a problem for the biological and social sciences. However, many aspects of the biological and social science literatures on this subject have developed relatively independently, with a lack of interaction. This has led to a number of misunderstandings with regard to how natural selection operates and the conditions under which cooperation can be favoured. Our aim here is to provide an accessible overview of social evolution theory and the evolutionary work on cooperation, emphasising common misconceptions.
o Source: Sixteen common misconceptions about the evolution of cooperation in humans, West SA, Mouden CE, Gardner A, DOI: 10.1016/j.evolhumbehav.2010.08.001, Evolution and Human Behavior, in Press, November 2010
Excerpt: Many of the cell's macromolecular machines appear gratuitously complex, comprising more components than their basic functions seem to demand. How can we make sense of this complexity in the light of evolution? One possibility is a neutral ratchet-like process described more than a decade ago, subsequently called constructive neutral evolution. This model provides an explanatory counterpoint to the selectionist or adaptationist views that pervade molecular biology.
About this talk: TED collaborates with animator Andrew Park to illustrate Denis Dutton's provocative theory on beauty -- that art, music and other beautiful things, far from being simply "in the eye of the beholder," are a core part of human nature with deep evolutionary origins.
Excerpt: Evolution is the fundamental physical process that gives rise to biological phenomena. Yet it is widely treated as a subset of population genetics, and thus its scope is artificially limited. As a result, the key issues of how rapidly evolution occurs, and its coupling to ecology have not been satisfactorily addressed and formulated. The lack of widespread appreciation for, and understanding of, the evolutionary process has arguably retarded the development of biology as a science, with disastrous consequences for its applications to medicine, ecology and the global environment. This review focuses on evolution as a problem in non-equilibrium statistical mechanics (...)
Excerpt: The cells in a multicellular organism have nominally identical DNA sequences (and therefore the same genetic instruction sets), yet maintain different terminal phenotypes. This nongenetic cellular memory, which records developmental and environmental cues (and alternative cell states in unicellular organisms), is the basis of epi-(above)"genetics.
Excerpt: The earliest organisms are thought to have had high mutation rates. It has been asserted that these high mutation rates would have severely limited the information content of early genomes. This has led to a well-known “paradox” because, in contemporary organisms, the mechanisms that suppress mutations are quite complex and a substantial amount of information is required to construct these mechanisms. The paradox arises because it is not clear how efficient error-suppressing mechanisms could have evolved, and thus allowed the evolution of complex organisms, at a time when mutation rates were too high to permit the maintenance of very substantial amounts of information within genomes. Here, we use concepts from the formal theory of information to calculate the amount of genomic information that can be maintained. (...)
Excerpt: The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype. Here we present results of the pilot phase of the project, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms.
Excerpt: Copy number variants affect both disease and normal phenotypic variation, but those lying within heavily duplicated, highly identical sequence have been difficult to assay. By analyzing short-read mapping depth for 159 human genomes, we demonstrated accurate estimation of absolute copy number for duplications as small as 1.9 kilobase pairs, ranging from 0 to 48 copies. (...) These data identify human-specific expansions in genes associated with brain development, reveal extensive population genetic diversity, and detect signatures consistent with gene conversion in the human species. Our approach makes ~1000 genes accessible to genetic studies of disease association.
Abstract: Chromosomes exhibit several features indicating that its spatiotemporal dynamics is self-organized. It has been recently suggested that a negative correlation between genome size and mean chromosome number would also be a fingerprint of selforganization, related to how human language is organized at the level of words and syllables. However, the vast dominance of non-coding DNA in eukaryotic genomes should prevent an interpretation of genome/chromosome size based on functional trade-offs related to information storage and transmission. Moreover, the reported negative correlation is shown to be an inevitable consequence of the definitions of chromosome and genome length and it is thus unrelated to any type of special generative process.
Excerpt: Comparative studies of large phylogenies of living and extinct groups have shown that most biodiversity arises from a small number of highly species-rich clades. To understand biodiversity, it is important to examine the history of these clades on geological time scales. This is part of a distinct phylogenetic expansion view of macroevolution, and contrasts with the alternative, non-phylogenetic equilibrium approach to the history of biodiversity. The latter viewpoint focuses on density-dependent models in which all life is described by a single global-scale model, and a case is made here that this approach may be less successful at representing the shape of the evolution of life.