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DOI | 10.1111/ele.12486 |
Levels and limits in artificial selection of communities | |
Blouin M.; Karimi B.; Mathieu J.; Lerch T.Z. | |
发表日期 | 2015 |
ISSN | 1461-023X |
EISSN | 1461-0248 |
卷号 | 18期号:10 |
英文摘要 | Artificial selection of individuals has been determinant in the elaboration of the Darwinian theory of natural selection. Nowadays, artificial selection of ecosystems has proven its efficiency and could contribute to a theory of natural selection at several organisation levels. Here, we were not interested in identifying mechanisms of adaptation to selection, but in establishing the proof of principle that a specific structure of interaction network emerges under ecosystem artificial selection. We also investigated the limits in ecosystem artificial selection to evaluate its potential in terms of managing ecosystem function. By artificially selecting microbial communities for low CO2 emissions over 21 generations (n = 7560), we found a very high heritability of community phenotype (52%). Artificial selection was responsible for simpler interaction networks with lower interaction richness. Phenotype variance and heritability both decreased across generations, suggesting that selection was more likely limited by sampling effects than by stochastic ecosystem dynamics. © 2015 John Wiley & Sons Ltd/CNRS. |
英文关键词 | Artificial selection; Co-occurrence network; Ecological interaction; Experimental evolution; Heritability |
学科领域 | artificial ecosystem; carbon dioxide; ecosystem dynamics; ecosystem function; experimental study; heritability; microbial community; phenotypic plasticity; selection; carbon dioxide; bacterium; biological model; classification; ecosystem; evolution; genetic selection; microbial consortium; phenotype; restriction fragment length polymorphism; statistics; Bacteria; Biological Evolution; Carbon Dioxide; Ecosystem; Microbial Consortia; Models, Genetic; Phenotype; Polymorphism, Restriction Fragment Length; Selection, Genetic; Stochastic Processes |
语种 | 英语 |
scopus关键词 | artificial ecosystem; carbon dioxide; ecosystem dynamics; ecosystem function; experimental study; heritability; microbial community; phenotypic plasticity; selection; carbon dioxide; bacterium; biological model; classification; ecosystem; evolution; genetic selection; microbial consortium; phenotype; restriction fragment length polymorphism; statistics; Bacteria; Biological Evolution; Carbon Dioxide; Ecosystem; Microbial Consortia; Models, Genetic; Phenotype; Polymorphism, Restriction Fragment Length; Selection, Genetic; Stochastic Processes |
来源期刊 | Ecology Letters |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/118623 |
作者单位 | Institute of Ecology and Environmental Sciences of Paris (UMR 7618), Université Paris-Est Créteil Val-de-Marne (UPEC, UPMC, CNRS, IRD, INRA, Paris Diderot), 61 avenue du Général de Gaulle, Créteil, 94010, France; Laboratoire Chrono-environnement (UMR 6249), Université de Franche-Comté, 16 route de Gray, Besançon, 25000, France; Institute of Ecology and Environmental Sciences of Paris (UMR 7618), Université Pierre et Marie Curie Paris06 - Sorbonne, (UPEC, UPMC, CNRS, IRD, INRA, Paris Diderot), 7 quai Saint Bernard, Paris, 75005, France |
推荐引用方式 GB/T 7714 | Blouin M.,Karimi B.,Mathieu J.,et al. Levels and limits in artificial selection of communities[J],2015,18(10). |
APA | Blouin M.,Karimi B.,Mathieu J.,&Lerch T.Z..(2015).Levels and limits in artificial selection of communities.Ecology Letters,18(10). |
MLA | Blouin M.,et al."Levels and limits in artificial selection of communities".Ecology Letters 18.10(2015). |
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