Suppr超能文献

本土菊科宿主中的负植物-叶际反馈——植物-土壤反馈框架的新扩展。

Negative plant-phyllosphere feedbacks in native Asteraceae hosts - a novel extension of the plant-soil feedback framework.

作者信息

Whitaker Briana K, Bauer Jonathan T, Bever James D, Clay Keith

机构信息

Department of Biology, Indiana University, Jordan Hall, 1001 E. 3rd St, Bloomington, IN, 47405-3700, USA.

Department of Ecology and Evolutionary Biology, University of Kansas, Higuchi Hall, 2101 Constant Ave, Lawrence, KS, 66047-7503, USA.

出版信息

Ecol Lett. 2017 Aug;20(8):1064-1073. doi: 10.1111/ele.12805. Epub 2017 Jul 4.

Abstract

Over the past 25 years, the plant-soil feedback (PSF) framework has catalyzed our understanding of how belowground microbiota impact plant fitness and species coexistence. Here, we apply a novel extension of this framework to microbiota associated with aboveground tissues, termed 'plant-phyllosphere feedback (PPFs)'. In parallel greenhouse experiments, rhizosphere and phyllosphere microbiota of con- and heterospecific hosts from four species were independently manipulated. In a third experiment, we tested the combined effects of soil and phyllosphere feedback under field conditions. We found that three of four species experienced weak negative PSF whereas, in contrast, all four species experienced strong negative PPFs. Field-based feedback estimates were highly negative for all four species, though variable in magnitude. Our results suggest that phyllosphere microbiota, like rhizosphere microbiota, can potentially mediate plant species coexistence via negative feedbacks. Extension of the PSF framework to the phyllosphere is needed to more fully elucidate plant-microbiota interactions.

摘要

在过去25年里,植物-土壤反馈(PSF)框架促进了我们对地下微生物群如何影响植物适应性和物种共存的理解。在此,我们将这个框架进行了新的扩展,应用于与地上组织相关的微生物群,即“植物-叶际反馈(PPF)”。在平行的温室实验中,对来自四个物种的同种和异种宿主的根际和叶际微生物群进行了独立调控。在第三个实验中,我们测试了田间条件下土壤和叶际反馈的综合影响。我们发现,四个物种中有三个经历了较弱的负向PSF,而相比之下,所有四个物种都经历了强烈的负向PPF。基于田间的反馈估计对所有四个物种来说都是高度负向的,尽管幅度有所不同。我们的结果表明,叶际微生物群与根际微生物群一样,可能通过负反馈来介导植物物种的共存。需要将PSF框架扩展到叶际,以更全面地阐明植物与微生物群的相互作用。

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