Exploring co-evolutionary processes in ant-plant mutualism networks: Evidence from a phylogenetic analysis

IF 1.5 4区 环境科学与生态学 Q2 BIODIVERSITY CONSERVATION Food Webs Pub Date : 2025-03-01 Epub Date: 2024-12-15 DOI:10.1016/j.fooweb.2024.e00383
Maria Gómez-Lazaga , Mariana Cuautle , Jorge E. Valenzuela-Gónzalez , Miguel Vásquez-Bolaños , Alejandro Espinosa de los Monteros
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Abstract

The use of phylogenetic data in studying mutualistic interactions offers insights into the underlying patterns of interaction networks. Coevolution between interacting groups is expected to result in congruent phylogenetic patterns. Phylogenetic signal analysis, which assesses the similarity of network properties among closely related species in the phylogeny, can help uncover these patterns. In this study, we aimed to evaluate the evolutionary pattern in the ant-plant interaction network at Flor del Bosque State Park, Puebla. We used phylogenies for both ant and plant species involved in the interactions for conducting phylogenetic signal analyses. The analyses suggest that the phylogenetic signal in the ant-plant interaction network is low and not significant. However, despite having a low phylogenetic signal value, the morphological trait of head length exhibited statistical significance. Such low phylogenetic signal might be attributed to the recent establishment of the ecological interactions between plants and ants, as well as the generalist and opportunistic nature of the ant species. Furthermore, other factors such as anthropogenic transformation, ecological traits and abiotic elements are likely influencing the ant-plant interactions in Flor del Bosque.
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探索反植物共生网络中的共同进化过程:来自系统发育分析的证据
在研究互惠相互作用中使用系统发育数据提供了对相互作用网络的潜在模式的见解。相互作用的群体之间的共同进化预计会导致一致的系统发育模式。系统发育信号分析可以评估系统发育中密切相关物种之间网络特性的相似性,有助于揭示这些模式。在这项研究中,我们旨在评估在弗洛尔德尔博斯克州立公园,普埃布拉的蚂蚁相互作用网络的进化模式。我们对参与相互作用的蚂蚁和植物物种进行系统发生分析,以进行系统发生信号分析。分析表明,该系统发育信号较低且不显著。然而,尽管头长形态特征具有较低的系统发育信号价值,但却具有统计学意义。如此低的系统发育信号可能归因于植物与蚂蚁之间的生态相互作用,以及蚂蚁物种的通才性和机会性。此外,人为转化、生态性状和非生物因素也可能影响植物间的相互作用。
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来源期刊
Food Webs
Food Webs Environmental Science-Ecology
CiteScore
2.80
自引率
5.90%
发文量
42
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