DOI: 10.1111/ele.12486
Scopus记录号: 2-s2.0-84941025577
论文题名: Levels and limits in artificial selection of communities
作者: Blouin M. ; Karimi B. ; Mathieu J. ; Lerch T.Z.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2015
卷: 18, 期: 10 起始页码: 1040
结束页码: 1048
语种: 英语
英文关键词: Artificial selection
; Co-occurrence network
; Ecological interaction
; Experimental evolution
; Heritability
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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107856
Appears in Collections: 气候减缓与适应
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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, France; Laboratoire Chrono-environnement (UMR 6249), Université de Franche-Comté, 16 route de Gray, Besançon, 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, France
Recommended Citation:
Blouin M.,Karimi B.,Mathieu J.,et al. Levels and limits in artificial selection of communities[J]. Ecology Letters,2015-01-01,18(10)