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| DOI | 10.1111/ele.12810 |
| Modelling nutritional mutualisms: challenges and opportunities for data integration | |
| Clark T.J.; Friel C.A.; Grman E.; Shachar-Hill Y.; Friesen M.L. | |
| 发表日期 | 2017 |
| ISSN | 1461-023X |
| EISSN | 1461-0248 |
| 卷号 | 20期号:9 |
| 英文摘要 | Nutritional mutualisms are ancient, widespread, and profoundly influential in biological communities and ecosystems. Although much is known about these interactions, comprehensive answers to fundamental questions, such as how resource availability and structured interactions influence mutualism persistence, are still lacking. Mathematical modelling of nutritional mutualisms has great potential to facilitate the search for comprehensive answers to these and other fundamental questions by connecting the physiological and genomic underpinnings of mutualisms with ecological and evolutionary processes. In particular, when integrated with empirical data, models enable understanding of underlying mechanisms and generalisation of principles beyond the particulars of a given system. Here, we demonstrate how mathematical models can be integrated with data to address questions of mutualism persistence at four biological scales: cell, individual, population, and community. We highlight select studies where data has been or could be integrated with models to either inform model structure or test model predictions. We also point out opportunities to increase model rigour through tighter integration with data, and describe areas in which data is urgently needed. We focus on plant-microbe systems, for which a wealth of empirical data is available, but the principles and approaches can be generally applied to any nutritional mutualism. © 2017 John Wiley & Sons Ltd/CNRS |
| 英文关键词 | Biological markets; game theory; metabolic networks; mutualism; mycorrhiza; network theory; plant-microbe interactions; population dynamics; rhizobia; trade |
| 学科领域 | ecological modeling; game theory; interspecific interaction; metabolism; mutualism; mycorrhiza; numerical model; nutritional status; population dynamics; resource availability; rhizobacterium; biological model; ecology; ecosystem; evolution; plant; symbiosis; Biological Evolution; Ecology; Ecosystem; Models, Biological; Plants; Symbiosis |
| 语种 | 英语 |
| scopus关键词 | ecological modeling; game theory; interspecific interaction; metabolism; mutualism; mycorrhiza; numerical model; nutritional status; population dynamics; resource availability; rhizobacterium; biological model; ecology; ecosystem; evolution; plant; symbiosis; Biological Evolution; Ecology; Ecosystem; Models, Biological; Plants; Symbiosis |
| 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/118339 |
| 作者单位 | Department of Plant Biology, Michigan State University, 612 Wilson Rd., East Lansing, MI 48824, United States; Biology Department, Eastern Michigan University, 441 Mark Jefferson Science Complex, Ypsilanti, MI 48197, United States |
| 推荐引用方式 GB/T 7714 | Clark T.J.,Friel C.A.,Grman E.,et al. Modelling nutritional mutualisms: challenges and opportunities for data integration[J],2017,20(9). |
| APA | Clark T.J.,Friel C.A.,Grman E.,Shachar-Hill Y.,&Friesen M.L..(2017).Modelling nutritional mutualisms: challenges and opportunities for data integration.Ecology Letters,20(9). |
| MLA | Clark T.J.,et al."Modelling nutritional mutualisms: challenges and opportunities for data integration".Ecology Letters 20.9(2017). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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