Suppr超能文献

通过整合数据与纳什讨价还价模型揭示不公平贸易地下活动。

Unfair trade underground revealed by integrating data with Nash bargaining models.

机构信息

Department of Plant Biology, Michigan State University, 612 Wilson Rd., East Lansing, MI, 48824, USA.

Department of Biology, Eastern Michigan University, 441 Mark Jefferson Science Complex, Ypsilanti, MI, 48197, USA.

出版信息

New Phytol. 2019 May;222(3):1325-1337. doi: 10.1111/nph.15703. Epub 2019 Feb 25.

Abstract

Mutually beneficial resource exchange is fundamental to global biogeochemical cycles and plant and animal nutrition. However, there is inherent potential conflict in mutualisms, as each organism benefits more when the exchange ratio ('price') minimizes its own costs and maximizes its benefits. Understanding the bargaining power that each partner has in these interactions is key to our ability to predict the exchange ratio and therefore the functionality of the cell, organism, community and ecosystem. We tested whether partners have symmetrical ('fair') or asymmetrical ('unfair') bargaining power in a legume-rhizobia nitrogen-fixing symbiosis using measurements of carbon and nitrogen dynamics in a mathematical modeling framework derived from economic theory. A model of symmetric bargaining power was not consistent with our data. Instead, our data indicate that the growth benefit to the plant (Medicago truncatula) has greater weight in determining trade dynamics than the benefit to the bacteria. Quantitative estimates of the relative power of the plant revealed that the plant's influence rises as soil nitrogen availability decreases and trade benefits to both partners increase. Our finding that M. truncatula legumes have more bargaining power than their rhizobial partner at lower nitrogen availabilities highlights the importance of context-dependence for the evolution of mutualism with increasing nutrient deposition.

摘要

互利资源交换是全球生物地球化学循环和植物与动物营养的基础。然而,互利关系中存在着内在的潜在冲突,因为当交换比率(“价格”)最小化自身成本并最大化收益时,每个生物体获益更多。了解每个合作伙伴在这些相互作用中具有的讨价还价能力,是我们预测交换比率并因此预测细胞、生物体、群落和生态系统功能的关键。我们使用经济理论衍生的数学建模框架中的碳和氮动态测量值,测试了豆科植物-根瘤菌固氮共生关系中合作伙伴是否具有对称(“公平”)或不对称(“不公平”)的讨价还价能力。对称讨价还价能力的模型与我们的数据不一致。相反,我们的数据表明,植物(紫花苜蓿)的生长收益在决定贸易动态方面比细菌的收益具有更大的权重。对植物相对权力的定量估计表明,随着土壤氮供应的减少和两个合作伙伴的贸易收益的增加,植物的影响会增加。我们发现,在氮供应较低的情况下,紫花苜蓿豆科植物比其根瘤菌伙伴具有更多的讨价还价能力,这突出了随着养分沉积增加,共生关系进化的背景相关性的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验