Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1111/oik.05960 |
Inferring coevolution in a plant-pollinator network | |
Lomascolo, Silvia B.1,2; Giannini, Norberto4,5,6; Chacoff, Natacha P.1,2; Castro-Urgal, Rocio7; Vazquez, Diego P.1,3 | |
通讯作者 | Lomascolo, Silvia B. |
来源期刊 | OIKOS
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ISSN | 0030-1299 |
EISSN | 1600-0706 |
出版年 | 2019 |
卷号 | 128期号:6页码:775-789 |
英文摘要 | Mutualistic interactions are at the core of community dynamics, determining dispersal, colonization and differential survival and reproduction among individuals and species. Mutualistic interactions therefore affect the fitness of interaction partners, hence modifying their respective evolutionary trajectories reciprocally, potentially leading to coevolution. Although mathematical models predict coevolution in mutualistic interaction networks, no empirical data are available. By taking into account the patterns of interactions and reconstructing evolutionary change in plant and pollinator traits, we tested the hypothesis that coevolution occurs between plants and insects that interact more frequently, or more symmetrically. To test this hypothesis, we built an interaction network with data from five flowering seasons, measured plant and insect morphology, mapped morphology on the plant and insect phylogenies, and reconstructed ancestral character changes based on maximum parsimony. We calculated an index, called the coevolutionary ratio, which represents the amount of correlated change in traits that mediate the interaction between plants and pollinators (i.e. proboscis versus corolla length, and body width and corolla aperture). Our results suggest that high frequency of interaction, i.e. the number of times two species interact, does not lead to coevolution. Instead, symmetry of interaction strength, i.e. the reciprocal similarity in the mutual effect of interaction partners, may lead to coevolution, in spite of a pervasive lack of reciprocal specialization and high interaction frequency. Although the statistical signal is quite weak, our results hold for three statistical tests of very different nature. The most specialized species, expected to be under directional selection, do not show more evolutionary change than do generalist species, expected to be under different, perhaps opposing, selective pressures. By dissecting the complexity of an interaction network we show that coevolution may partially shape functional morphology of interaction partners, thus providing the closest evidence to date of mutualistic adaptation of organisms within a community. |
英文关键词 | Argentina ecological interactions evolutionary ecology Monte desert mutualism pollinator community |
类型 | Article |
语种 | 英语 |
国家 | Argentina ; Germany ; Spain |
收录类别 | SCI-E |
WOS记录号 | WOS:000472121700002 |
WOS关键词 | MOLECULAR PHYLOGENY ; EVOLUTION ; SELECTION ; DYNAMICS ; STRENGTH ; DIVERSIFICATION ; ARCHITECTURE ; RESISTANCE ; DIVERSITY ; SYSTEMS |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/217815 |
作者单位 | 1.CCT CONICET, Inst Argentino Invest Zonas Aridas, Mendoza, Argentina; 2.Univ Nacl Tucuman, CONICET, Inst Ecol Reg, Residencia Univ Horco Molle,CC 34, RA-4107 Yerba Buena, Tucuman, Argentina; 3.Univ Freiburg, Freiburg Inst Adv Studies, Freiburg, Germany; 4.Univ Nacl Tucuman, Fac Ciencias Nat, Yerba Buena, Tucuman, Argentina; 5.Univ Nacl Tucuman, IML, Yerba Buena, Tucuman, Argentina; 6.Consejo Nacl Invest Cient & Tecn, Fdn Miguel Lillo, Unidad Ejecutora Lillo, San Miguel De Tucuman, Tucuman, Argentina; 7.UIB, CSIC, Inst Mediterrani Estudis Avancats, Mallorca, Balearic Island, Spain |
推荐引用方式 GB/T 7714 | Lomascolo, Silvia B.,Giannini, Norberto,Chacoff, Natacha P.,et al. Inferring coevolution in a plant-pollinator network[J],2019,128(6):775-789. |
APA | Lomascolo, Silvia B.,Giannini, Norberto,Chacoff, Natacha P.,Castro-Urgal, Rocio,&Vazquez, Diego P..(2019).Inferring coevolution in a plant-pollinator network.OIKOS,128(6),775-789. |
MLA | Lomascolo, Silvia B.,et al."Inferring coevolution in a plant-pollinator network".OIKOS 128.6(2019):775-789. |
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