Towards an Evolutionary Model of Animal-Associated Microbiomes
| Autor: | Rebecca M. Stumpf, Nicholas Chia, Margret E. Berg Miller, Suleyman Yildirim, Karen E. Nelson, Carl J. Yeoman, Steven R. Leigh, Brenda A. Wilson, Bryan A. White, Angela D. Kent |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Warrant
multi-level selection Ecology (disciplines) media_common.quotation_subject Modularity (biology) microbiome General Physics and Astronomy interdependency lcsh:Astrophysics 03 medical and health sciences evolution lcsh:QB460-466 Selection (linguistics) animal Microbiome Sociology lcsh:Science modularity 030304 developmental biology media_common 0303 health sciences 030306 microbiology Field (Bourdieu) 15. Life on land Data science lcsh:QC1-999 Interdependence complexity ecology lcsh:Q lcsh:Physics Diversity (politics) |
| Zdroj: | Entropy, Vol 13, Iss 3, Pp 570-594 (2011) Entropy; Volume 13; Issue 3; Pages: 570-594 |
| ISSN: | 1099-4300 |
| Popis: | Second-generation sequencing technologies have granted us greater access to the diversity and genetics of microbial communities that naturally reside endo- and ecto-symbiotically with animal hosts. Substantial research has emerged describing the diversity and broader trends that exist within and between host species and their associated microbial ecosystems, yet the application of these data to our evolutionary understanding of microbiomes appears fragmented. For the most part biological perspectives are based on limited observations of oversimplified communities, while mathematical and/or computational modeling of these concepts often lack biological precedence. In recognition of this disconnect, both fields have attempted to incorporate ecological theories, although their applicability is currently a subject of debate because most ecological theories were developed based on observations of macro-organisms and their ecosystems. For the purposes of this review, we attempt to transcend the biological, ecological and computational realms, drawing on extensive literature, to forge a useful framework that can, at a minimum be built upon, but ideally will shape the hypotheses of each field as they move forward. In evaluating the top-down selection pressures that are exerted on a microbiome we find cause to warrant reconsideration of the much-maligned theory of multi-level selection and reason that complexity must be underscored by modularity. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|