Cancer cells exist in an ever-changing “ecology” and are subject to evolutionary pressures just like any species in nature. This edited book explores the following themes: 1) how the dynamics of mutation, epigenetics, and gene expression noise are sources of genetic diversity; 2) how scarce resources influence cancer therapy resistance; 3) how predator-prey dynamics are mirrored in immune-cancer cross-talk; 4) how cancer cells parallel niche construction theory; 5) how changing fitness landscapes enable cancer growth; and 6) how cancer cells interact within the body. The book is a resource for understanding cancer as a disease of multicellularity grounded in evolutionary principles. By using this knowledge, researchers are starting to exploit these behaviors for treatment paradigms. Key Features Bridges disciplines exemplifying the ways disparate fields create new perspectives when integrated. Offers insights from leading scholars in cancer biology, ecology and evolutionary biology. Provides a timely recognition by oncologists that evolutionary paradigms are crucial for breakthroughs in cancer treatment. Integrates basic and applied sciences of oncology and evolutionary biology.

Ecology and Evolution of Cancer is a timely work outlining ideas that not only represent a substantial and original contribution to the fields of evolution, ecology, and cancer, but also goes beyond by connecting the interfaces of these disciplines. This work engages the expertise of a multidisciplinary research team to collate and review the latest knowledge and developments in this exciting research field. The evolutionary perspective of cancer has gained significant international recognition and interest, which is fully understandable given that somatic cellular selection and evolution are elegant explanations for carcinogenesis. Cancer is now generally accepted to be an evolutionary and ecological process with complex interactions between tumor cells and their environment sharing many similarities with organismal evolution. As a critical contribution to this field of research the book is important and relevant for the applications of evolutionary biology to understand the origin of cancers, to control neoplastic progression, and to prevent therapeutic failures. - Covers all aspects of the evolution of cancer, appealing to researchers seeking to understand its origins and effects of treatments on its progression, as well as to lecturers in evolutionary medicine - Functions as both an introduction to cancer and evolution and a review of the current research on this burgeoning, exciting field, presented by an international group of leading editors and contributors - Improves understanding of the origin and the evolution of cancer, aiding efforts to determine how this disease interferes with biotic interactions that govern ecosystems - Highlights research that intends to apply evolutionary principles to help predict emergence and metastatic progression with the aim of improving therapies

This book offers the first guide to landscape ecologists on the art and science of doing experiments, both observational and manipulative. How do you conduct an experiment when your study subject is as big as a landscape? Issues of scale, spatial heterogeneity and limitations on replication may challenge scientists seeking to carry out robust experiments in landscape ecology. Beginning with an overview of the history and philosophy of the scientific method, and tracing the development of experimental approaches in ecology broadly, the first half of the book discusses the broader issues of what makes a good experiment. Individual chapters describe unique aspects of landscape ecology that present challenges to experimentation, with suggestions for solutions on issues of scale, and how to apply controls, randomization and adequate replication in a landscape setting. The second half of the book describes different kinds of landscape ecology experimental approaches including: large-scale manipulations experimental model landscapes mesocosms and microcosms in silico experiments novel landscapes Each chapter describes the advantages and disadvantages of each approach, and identifies the types of landscape ecology concepts and questions that a research can address. Examples from around the world, in a myriad of different environments, help to illustrate the ideas in each chapter. Together with an annotated resources section, this book aims to stimulate ideas and inspire creativity for graduate students and early career researchers who want to conduct better experiments in landscape ecology.

A common sense field guide to understanding, surviving, and thriving in our time of complex chaos and crises. Is this finally it? The end times?Because from COVID-19 to climate catastrophe to the looming AI revolution—not to mention the ever-growing background hum of rage, fear, and anxiety—it’s starting to feel like the party we call civilization is just about over. The good news? It’s always felt that way. Drawing on evolutionary psychology, history, brain science, game theory, and more, cooperation theorist (and, coincidentally, zombie expert) Athena Aktipis reassuringly explains how we, as a species, are hardwired to survive big existential crises. And how we can do so again by leveraging our innate abilities to communicate and cooperate. Pack a ukulele in your prep kit. Practice your risk-management skills. Enlist your crew into a survival team. And embrace the apocalypse. You might just enjoy it. Plus, it will help us build a better and more resilient future for all humankind.

Molecular Evolutionary Models in Drug Discovery explores the application of evolutionary molecular models in drug discovery in which secondary metabolites play a fundamental role. Secondary metabolites are not produced in isolation, they are the result of the interaction of genes, metabolism and the environment. The book examines the role of secondary metabolites as leads in drug discovery and on the development of a rational bioprospecting model for new medicines based on the evolution of secondary metabolism. These evolutionary models are part of biological systems and are the most reliable expression of the functioning of living beings. - Examines the integration and application of evolutionary models in the pharmaceutical industry to create new drug development platforms - Investigates the biotechnological prospecting of secondary metabolites and their potential use in the discovery of new drugs - Evaluates the ecosystem of living beings and how its molecular adaptation might improve the success of therapies

Human evolutionary demography is an emerging field blending natural science with social science. This edited volume provides a much-needed, interdisciplinary introduction to the field and highlights cutting-edge research for interested readers and researchers in demography, the evolutionary behavioural sciences, biology, and related disciplines. By bridging the boundaries between social and biological sciences, the volume stresses the importance of a unified understanding of both in order to grasp past and current demographic patterns. Demographic traits, and traits related to demographic outcomes, including fertility and mortality rates, marriage, parental care, menopause, and cooperative behavior are subject to evolutionary processes. Bringing an understanding of evolution into demography therefore incorporates valuable insights into this field; just as knowledge of demography is key to understanding evolutionary processes. By asking questions about old patterns from a new perspective, the volume—composed of contributions from established and early-career academics—demonstrates that a combination of social science research and evolutionary theory offers holistic understandings and approaches that benefit both fields. Human Evolutionary Demography introduces an emerging field in an accessible style. It is suitable for graduate courses in demography, as well as upper-level undergraduates. Its range of research is sure to be of interest to academics working on demographic topics (anthropologists, sociologists, demographers), natural scientists working on evolutionary processes, and disciplines which cross-cut natural and social science, such as evolutionary psychology, human behavioral ecology, cultural evolution, and evolutionary medicine. As an accessible introduction, it should interest readers whether or not they are currently familiar with human evolutionary demography.

This volume offers a collection of carefully selected, peer-reviewed papers presented at the BIOMAT 2019 International Symposium, which was held at the University of Szeged, Bolyai Institute and the Hungarian Academy of Sciences, Hungary, October 21st-25th, 2019. The topics covered in this volume include tumor and infection modeling; dynamics of co-infections; epidemic models on networks; aspects of blood circulation modeling; multidimensional modeling approach via time-frequency analysis and Edge Based Compartmental Model; and more. This book builds upon the tradition of the previous BIOMAT volumes to foster interdisciplinary research in mathematical biology for students, researchers, and professionals. Held every year since 2001, the BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promoting truly international cooperation for problem discussion. The 2019 edition of BIOMAT International Symposium received contributions by authors from 14 countries: Brazil, Cameroon, Canada, Colombia, Czech Republic, Finland, Hungary, India, Italy, Russia, Senegal, Serbia, United Kingdom and the USA. Selected papers presented at the 2017 and 2018 editions of this Symposium were also published by Springer, in the volumes "Trends in Biomathematics: Modeling, Optimization and Computational Problems" (978-3-319-91091-8) and "Trends in Biomathematics: Mathematical Modeling for Health, Harvesting, and Population Dynamics" (978-3-030-23432-4).