METAWEBS · Unifying Ecological and Evolutionary Networks
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2009-05-01 → 2012-04-30
- Финансиране от ЕС
- 225 036 €
- Участници
- 1
- Схема
- MC-IOF
Линиите свързват координатора с партньорите.
Накратко на български
Екологичните и еволюционните мрежи се анализират чрез математически модели, като например връзките между софтуерни пакети в операционна система. Синтезът между тези области помага за по-доброто разбиране на сложните системи в природата.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Unifying Ecological and Evolutionary Networks
The long-term professional project of the beneficiary is to combine analytical tools, mathematical models, simulations, and data set analysis to address fundamental and applied questions in ecology. The approach is both synthetic and interdisciplinary, merging tools and concepts from different fields to applying in the synthesis between community ecology and evolutionary biology. The creation of long-term collaborations between the European Union and the United States of America based on common interests on ecological networks and its extension to other complex systems of a very different nature has been successful. This is the main objective of the Marie Curie International Outgoing Fellowship (IOF) because it will contribute to increase the level of internationalization of the local returning institute. That is, the beneficiary of this European Action has established a very promising international collaboration between the return European research institution (Estación Biológica de Doñana - Consejo Superior de Investigaciones Científicas) and two American Universities: Princeton University (PU) and Michigan State University (MSU). The link to the first one (PU) was established with the scientist in charge at the host institution, Simon A. Levin. It has started with an interdisciplinary paper published last year in Proceedings of the National Academy of Sciences (PNAS) on the evolution of the network of interdependences between software packages in a computer operating system. This paper has received high attention among scientists including a press coverage by PhysOrg (a very popular science, research and technology news website, http://phys.org/news/2011-12-tinkering-withevolution-ecological-implications-modular.html). The collaboration with Michigan State University was established during a short visit to the Digital Evolution Lab (Devolab) leaded by Charles Ofria. His research group is part now of the BEACON, an NSF Center for the Study of Evolution in Action (USA) which has been funded with $25 millions for the next 5 years. In collaboration with people from his group, the beneficiary has been invited by the editorial board of PLoS Computational Biology to contribute a paper on evolving digital ecological networks (in review). This will be published simultaneously in the Wikipedia and constitute the beggining of a new research line in the frontier between evolutionary biology and computer science. The leadership of this topic has been, without any doubt, the proof of the success achieved by the beneficiary thanks to the Marie Curie IOF.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
The spatial distribution of genetic variation within species (i.e., genetic landscapes) is a consequence of the ecological and evolutionary processes that determine, ultimately, species distribution patterns. How these interacting processes shape the genetic and ecological diversity remains a key question of evolutionary ecology. In the last years, a huge amount of data at molecular and ecological level has emerged. But we still lack a theoretical framework to shed light on the role that ecological interactions among species play in determining genetic discontinuities and population structure. Specifically, no study has yet explored the role of the structure and dynamics of networks of interacting species in determining the topology of the genetic landscapes of species across spatial scales. In this proposal I will first characterize, using the complex network framework, the spatial distribution of intraspecific genetic variation by generating genetic landscapes for single species from data published in the literature. Second, I will explore, using a metacommunity approach, to what extent the well-known structure and dynamics of food webs and plant-animal mutualistic networks contribute to determine the topological patterns of the genetic landscapes described previously. This will be undoubtedly, the first step towards an understanding of the spatial distribution of genetic and ecological diversity in species-rich communities.
Оригинален текст от CORDIS (на английски).
Участници
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS · MadridКоординаторИспания
Връзки
Данни: CORDIS, © Европейски съюз