Literature DB >> 28564304

EXPERIMENTAL STUDIES OF COMMUNITY EVOLUTION II: THE ECOLOGICAL BASIS OF THE RESPONSE TO COMMUNITY SELECTION.

Charles J Goodnight1.   

Abstract

Community selection, defined as the differential proliferation and/or extinction of communities, can bring about a response that may be qualitatively different from the response to selection acting at lower levels. This is because community selection can result in genetic changes in all of the species within the community by acting on the interaction among species. In the experiment presented here, a series of one generation assays were performed on the coevolved communities of two species of flour beetles, Tribolium castaneum and T. confusum, discussed by Goodnight (1990). Two community assays and one single-species assay were performed. Taken together, these provide insights into the genetic basis of the response to community selection. The first community assay involved measuring the selected traits on the original coevolved communities that had been subjected to community selection. This assay indicated that all of the selection treatments resulted in a significant response to selection in the original coevolved communities. The single-species assay involved separating the coevolved communities into their constituent single-species populations and again measuring the selected traits on these populations. None of the single-species populations exhibited a significant response to selection; thus the responses to community selection observed in the first community assay are expressed only in a community context. The second community assay again involved separating the coevolved communities into their constituent single-species populations; however, in this assay a competitor of the opposite species that had never been exposed to community selection was added to each population to form a "reconstructed" community. The results of this assay were that for two traits, emigration rate in T. castaneum and emigration rate in T. confusum, the genetic identity of the competing species did not affect the response to selection. This indicates that the competing species was acting like a nonevolving part of the environment. For the other two traits measured, population size in T. castaneum and population size in T. confusum, the results were very different. For these traits there was no detectable response to selection in the reconstructed communities. This indicates that for these traits the response to selection cannot be attributed to a genetic change in either species independently of the other species in the community. Rather it resides in the interaction between the two species. © 1990 The Society for the Study of Evolution.

Entities:  

Year:  1990        PMID: 28564304     DOI: 10.1111/j.1558-5646.1990.tb03851.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  8 in total

1.  Simulations reveal challenges to artificial community selection and possible strategies for success.

Authors:  Li Xie; Alex E Yuan; Wenying Shou
Journal:  PLoS Biol       Date:  2019-06-25       Impact factor: 8.029

2.  Artificial selection of simulated microbial ecosystems.

Authors:  Hywel T P Williams; Timothy M Lenton
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-21       Impact factor: 11.205

Review 3.  Evolution in metacommunities.

Authors:  Charles J Goodnight
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-05-12       Impact factor: 6.237

4.  Evolutionary analysis and lateral gene transfer of two-component regulatory systems associated with heavy-metal tolerance in bacteria.

Authors:  Juan L Bouzat; Matthew J Hoostal
Journal:  J Mol Evol       Date:  2013-04-16       Impact factor: 2.395

Review 5.  Directed Evolution of Microbial Communities.

Authors:  Álvaro Sánchez; Jean C C Vila; Chang-Yu Chang; Juan Diaz-Colunga; Sylvie Estrela; María Rebolleda-Gomez
Journal:  Annu Rev Biophys       Date:  2021-03-01       Impact factor: 12.981

6.  Steering ecological-evolutionary dynamics to improve artificial selection of microbial communities.

Authors:  Li Xie; Wenying Shou
Journal:  Nat Commun       Date:  2021-11-23       Impact factor: 14.919

7.  Simulating selection and evolution at the community level using common garden data.

Authors:  Stephen M Shuster; Arthur R Keith; Thomas G Whitham
Journal:  Ecol Evol       Date:  2022-03-10       Impact factor: 2.912

8.  The March of the Beetles: Epistatic Components Dominate Divergence in Dispersal Tendency in Tribolium castaneum.

Authors:  Sarah N Ruckman; Heath Blackmon
Journal:  J Hered       Date:  2020-09-30       Impact factor: 2.645

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.