Literature DB >> 34227117

Natural soil microbiome variation affects spring foliar phenology with consequences for plant productivity and climate-driven range shifts.

Michael E Van Nuland1, Ian M Ware2, Chris W Schadt3,4, Zamin Yang3, Joseph K Bailey5, Jennifer A Schweitzer5.   

Abstract

Identifying the potential for natural soil microbial communities to predictably affect complex plant traits is an important frontier in climate change research. Plant phenology varies with environmental and genetic factors, but few studies have examined if the soil microbiome interacts with plant population differentiation to affect phenology and ecosystem function. We compared soil microbial variation in a widespread tree species (Populus angustifolia) with different soil inoculum treatments in a common garden environment to test how the soil microbiome affects spring foliar phenology and subsequent biomass growth. We hypothesized and show that: 1) soil bacterial and fungal communities vary with tree conditioning from different populations and elevations, 2) this soil community variation influences patterns of foliar phenology and plant growth across populations and elevation gradients, and 3) transferring lower elevation plant genotypes to higher elevation soil communities delayed foliar phenology, thereby shortening the growing season and reducing annual biomass production. Our findings show the importance of plant-soil interactions that help shape the timing of tree foliar phenology and productivity. These geographic patterns in plant population x microbiome interactions also broaden our understanding of how soil communities impact plant phenotypic variation across key climate change gradients, with consequences for ecosystem functioning. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  ecosystem ecology; elevation gradients; phenology; plant-soil interactions; productivity; range shifts; soil microbiome

Year:  2021        PMID: 34227117     DOI: 10.1111/nph.17599

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  1 in total

1.  Evaluating the productivity of ancient Pu'er tea trees (Camellia sinensis var. assamica): a multivariate modeling approach.

Authors:  Shuqiao Zhang; Wendou Liu; Xinmeng Cheng; Zizhi Wang; Fengjun Yuan; Wengui Wu; Shengxi Liao
Journal:  Plant Methods       Date:  2022-07-27       Impact factor: 5.827

  1 in total

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