The Hominids Appear Natural Selection and Cultural Change, 54 • Two- Sex Trade-Offs, 58 • One-Sex Trade-Offs, 64

2015 ◽  
pp. 63-84
Keyword(s):  
Natural Selection ◽  
Cultural Change ◽  
Sex Trade ◽  
Trade Offs

Chinese "Cancer Villages"

2020 ◽  
Author(s):  
Ajiang Chen ◽  
Pengli Cheng ◽  
Yajuan Luo
Keyword(s):  
Public Health ◽  
Economic Growth ◽  
Cultural Change ◽  
Social Life ◽  
Social Economic ◽  
Rural China ◽  
Sociological Analysis ◽  
Complex Interactions ◽  
Trade Offs ◽  
The Relationship

The phenomenon of "cancer villages" has emerged in many parts of rural China, drawing media attention and becoming a fact of social life. However, the relationship between pollution and disease is often hard to discern. Through sociological analysis of several villages with different social and economic structures, the authors offer a comprehensive, historically grounded analysis of the coexistence between the incidence of cancer, environmental pollution and villagers’ lifestyles, as well as the perceptions, claims and responses of different actors. They situate the appearance of "cancer villages" in the context of social, economic and cultural change in China, tracing the evolution of the issue over two decades, and providing deep insights into the complex interactions and trade-offs between economic growth, environmental change and public health.

Ecological immunology

2021 ◽  
pp. 109-142
Author(s):  
Paul Schmid-Hempel
Keyword(s):  
Energy Consumption ◽  
Natural Selection ◽  
Ecological Immunology ◽  
Costs And Benefits ◽  
Response Delay ◽  
Genetic Covariance ◽  
Trade Offs ◽  
Immunological Factors ◽  
Immune Defences

Infections and parasite loads vary among hosts. Variation results from ecological, genetic, and immunological factors. Immune defences provide benefits as well as costs and are, therefore, a compromise. Costs result from trade-offs with other needs and can be genetically encoded or plastic (i.e. can change depending on circumstances). Costs are physiological (e.g. energy consumption) or based on evolved genetic covariance. Self-damage (immunopathology) is a further, important cost. Natural selection should optimize the costs and benefits of defences and thus leads to various outcomes in terms of specificity, response delay and strength, or the formation of memory. Moreover, hosts can either resist an infection by eventual clearance, or tolerate the consequences of parasitism.

Evolution: Medicine’s most basic science

2020 ◽  
pp. 39-42
Author(s):  
Randolph M. Nesse ◽  
Richard Dawkins
Keyword(s):  
Population Genetics ◽  
Natural Selection ◽  
Basic Science ◽  
Evolutionary Biology ◽  
Phylogenetic Trees ◽  
The Body ◽  
Clinical Implications ◽  
Trade Offs ◽  
The Cost

The role of evolutionary biology as a basic science for medicine is expanding rapidly. Some evolutionary methods are already widely applied in medicine, such as population genetics and methods for analysing phylogenetic trees. Newer applications come from seeking evolutionary as well as proximate explanations for disease. Traditional medical research is restricted to proximate studies of the body’s mechanism, but separate evolutionary explanations are needed for why natural selection has left many aspects of the body vulnerable to disease. There are six main possibilities: mismatch, infection, constraints, trade-offs, reproduction at the cost of health, and adaptive defences. Like other basic sciences, evolutionary biology has limited direct clinical implications, but it provides essential research methods, encourages asking new questions that foster a deeper understanding of disease, and provides a framework that organizes the facts of medicine.

scholarly journals Value of species and the evolution of conservation ethics

2018 ◽  
Vol 5 (11) ◽  
pp. 181038 ◽  
Author(s):  
Darragh Hare ◽  
Bernd Blossey ◽  
H. Kern Reeve
Keyword(s):  
Natural Selection ◽  
Cultural Change ◽  
Inclusive Fitness ◽  
Cost Benefit ◽  
Apparent Contradiction ◽  
Theory Of Evolution ◽  
Conservation Ethics ◽  
Cultural Conditions ◽  
Evolution By Natural Selection ◽  
Time Required

The theory of evolution by natural selection can help explain why people care about other species. Building upon recent insights that morality evolves to secure fitness advantages of cooperation, we propose that conservation ethics (moral beliefs, attitudes, intuitions and norms regarding other species) could be adaptations that support cooperation between humans and non-humans. We present eco-evolutionary cost–benefit models of conservation behaviours as interspecific cooperation (altruism towards members of other species). We find that an evolutionary rule identical in structure to Hamilton's rule (which explains altruistic behaviour towards related conspecifics) can explain altruistic behaviour towards members of other species. Natural selection will favour traits for selectively altering the success of members of other species (e.g. conserving them) in ways that maximize inclusive fitness return benefits. Conservation behaviours and the ethics that evolve to reinforce them will be sensitive to local ecological and socio-cultural conditions, so will assume different contours in different places. Difficulties accurately assessing costs and benefits provided by other species, time required to adapt to ecological and socio-cultural change and barriers to collective action could explain the apparent contradiction between the widespread existence of conservation ethics and patterns of biodiversity decline globally.

scholarly journals The nature of nurture in a wild mammal's fitness

2015 ◽  
Vol 282 (1806) ◽  
pp. 20142422 ◽  
Author(s):  
S. Eryn McFarlane ◽  
Jamieson C. Gorrell ◽  
David W. Coltman ◽  
Murray M. Humphries ◽  
Stan Boutin ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Natural Selection ◽  
Maternal Effects ◽  
Adaptive Evolution ◽  
Genetic Effects ◽  
Adaptive Potential ◽  
Red Squirrels ◽  
Trade Offs ◽  
The Face ◽  
North American Red Squirrels

Genetic variation in fitness is required for the adaptive evolution of any trait but natural selection is thought to erode genetic variance in fitness. This paradox has motivated the search for mechanisms that might maintain a population's adaptive potential. Mothers make many contributions to the attributes of their developing offspring and these maternal effects can influence responses to natural selection if maternal effects are themselves heritable. Maternal genetic effects (MGEs) on fitness might, therefore, represent an underappreciated source of adaptive potential in wild populations. Here we used two decades of data from a pedigreed wild population of North American red squirrels to show that MGEs on offspring fitness increased the population's evolvability by over two orders of magnitude relative to expectations from direct genetic effects alone. MGEs are predicted to maintain more variation than direct genetic effects in the face of selection, but we also found evidence of maternal effect trade-offs. Mothers that raised high-fitness offspring in one environment raised low-fitness offspring in another environment. Such a fitness trade-off is expected to maintain maternal genetic variation in fitness, which provided additional capacity for adaptive evolution beyond that provided by direct genetic effects on fitness.

scholarly journals Constraints on adaptive mutations in the codling moth Cydia pomonella (L.): measuring fitness trade-offs and natural selection

Heredity ◽  
2003 ◽  
Vol 90 (1) ◽  
pp. 107-113 ◽  
Author(s):  
T Boivin ◽  
J C Bouvier ◽  
J Chadœuf ◽  
D Beslay ◽  
B Sauphanor
Keyword(s):  
Natural Selection ◽  
Cydia Pomonella ◽  
Codling Moth ◽  
Adaptive Mutations ◽  
Trade Offs

Cultural evolution

2018 ◽  
Author(s):  
Matteo Mameli ◽  
Kim Sterelny
Keyword(s):  
Natural Selection ◽  
Social Learning ◽  
Cultural Change ◽  
Biological Evolution ◽  
Phenotypic Traits ◽  
Or Groups ◽  
Cumulative Change ◽  
Cultural Traits ◽  
Changes Over Time ◽  
Over Time

Cultural traits are those phenotypic traits whose development depends on social learning. These include practices, skills, beliefs, desires, values, and artefacts. The distribution of cultural traits in the human species changes over time. But this is not enough to show that culture evolves. That depends on the mechanisms of change. In the cultural realm, one can often observe something similar to biology’s ‘descent with modification’: cultural traits are sometimes modified, their modifications are sometimes retained and passed on to others through social learning, until new modifications are added. In this way, new modifications are piled on top of old modifications, generating cumulative change. But, again, this is not enough to show that culture evolves. For culture to evolve, cumulative change must be the result of hidden-hand mechanisms similar to those that explain cumulative biological change. If cumulative cultural change cannot be explained in these terms, the analogy between cultural change and biological evolution is unhelpful. The best-known biological mechanism is natural selection. There are reasons to think that cultural change is at least sometimes due to natural-selection-like mechanisms. The adaptive fit often found between cultural traits and the environment in many cases has been built gradually and in a way that involves natural selection operating at the cultural level. The parallel with morphological adaptation is compelling. No complete and universally accepted account of natural-selection-like processes operating at the cultural level exists at this stage. But at least three kinds of processes seem possible: - A natural-selection-like process can be generated by culturally heritable differences in fitness between individuals. - A natural-selection-like process can be generated by culturally heritable differences in fitness between groups. - A natural-selection-like process can operate at the level of cultural variants themselves, independently of the effects that cultural variants have on the fitness of individuals or groups. The theory of memes (initially presented by Dawkins and then developed by Dennett) is one possible account of how (iii) might work; but other accounts exist too.

Between Evolution and History: Biology, Culture, and the Myth of Human Origins

2002 ◽  
Author(s):  
Tim Ingold
Keyword(s):  
Natural Selection ◽  
Cultural Change ◽  
Life Histories ◽  
Relational Model ◽  
Human Origins ◽  
Organic Evolution ◽  
Organic World ◽  
Total Process ◽  
Development And Evolution ◽  
Biological Organisms

This chapter explains how the phenomena of both organic evolution and cultural change can be accommodated within a single explanatory paradigm. It first argues that a model of variation under selection cannot fully grasp the generative dynamics of cultural change, and instead calls for an emphasis on the activities that give rise to artefacts, rather than on the final forms of such artefacts. It then discusses history as but one aspect of a total process of evolution that embraces the entire organic world; how biological organisms and cultural artefacts condition the development of other entities or beings to which they relate; and genotypes and phenotypes in relation to natural selection. It also describes the genealogical model in comparison with the relational model, with particular reference to their application to understanding the kinship of both human and nonhuman beings, and how the relational model can be applied not only to persons but also to the development and evolution of organisms. The chapter concludes by discussing the life-histories of artefacts in terms of replication and reproduction.

scholarly journals When natural selection should optimize speed-accuracy trade-offs

2014 ◽  
Vol 8 ◽  
Author(s):  
Angelo Pirrone ◽  
Tom Stafford ◽  
James A. R. Marshall
Keyword(s):  
Natural Selection ◽  
Trade Offs ◽  
Speed Accuracy

scholarly journals Computational and Functional Analysis of the Virus-Receptor Interface Reveals Host Range Trade-Offs in New World Arenaviruses

2015 ◽  
Vol 89 (22) ◽  
pp. 11643-11653 ◽  
Author(s):  
Scott A. Kerr ◽  
Eleisha L. Jackson ◽  
Oana I. Lungu ◽  
Austin G. Meyer ◽  
Ann Demogines ◽  
...  
Keyword(s):  
Natural Selection ◽  
New World ◽  
New Host ◽  
Virus Receptor ◽  
Computational Docking ◽  
Trade Offs ◽  
Animal Populations ◽  
Machupo Virus ◽  
Selection For ◽  
New Host Species

ABSTRACTAnimal viruses frequently cause zoonotic disease in humans. As these viruses are highly diverse, evaluating the threat that they pose remains a major challenge, and efficient approaches are needed to rapidly predict virus-host compatibility. Here, we develop a combined computational and experimental approach to assess the compatibility of New World arenaviruses, endemic in rodents, with the host TfR1 entry receptors of different potential new host species. Using signatures of positive selection, we identify a small motif on rodent TfR1 that conveys species specificity to the entry of viruses into cells. However, we show that mutations in this region affect the entry of each arenavirus differently. For example, a human single nucleotide polymorphism (SNP) in this region, L212V, makes human TfR1 a weaker receptor for one arenavirus, Machupo virus, but a stronger receptor for two other arenaviruses, Junin and Sabia viruses. Collectively, these findings set the stage for potential evolutionary trade-offs, where natural selection for resistance to one virus may make humans or rodents susceptible to other arenavirus species. Given the complexity of this host-virus interplay, we propose a computational method to predict these interactions, based on homology modeling and computational docking of the virus-receptor protein-protein interaction. We demonstrate the utility of this model for Machupo virus, for which a suitable cocrystal structural template exists. Our model effectively predicts whether the TfR1 receptors of different species will be functional receptors for Machupo virus entry. Approaches such at this could provide a first step toward computationally predicting the “host jumping” potential of a virus into a new host species.IMPORTANCEWe demonstrate how evolutionary trade-offs may exist in the dynamic evolutionary interplay between viruses and their hosts, where natural selection for resistance to one virus could make humans or rodents susceptible to other virus species. We present an algorithm that predicts which species have cell surface receptors that make them susceptible to Machupo virus, based on computational docking of protein structures. Few molecular models exist for predicting the risk of spillover of a particular animal virus into humans or new animal populations. Our results suggest that a combination of evolutionary analysis, structural modeling, and experimental verification may provide an efficient approach for screening and assessing the potential spillover risks of viruses circulating in animal populations.

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