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      Climate-driven divergence in plant-microbiome interactions generates range-wide variation in bud break phenology

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          Abstract

          Soil microbiomes are rapidly becoming known as an important driver of plant phenotypic variation and may mediate plant responses to environmental factors. However, integrating spatial scales relevant to climate change with plant intraspecific genetic variation and soil microbial ecology is difficult, making studies of broad inference rare. Here we hypothesize and show: 1) the degree to which tree genotypes condition their soil microbiomes varies by population across the geographic distribution of a widespread riparian tree, Populus angustifolia; 2) geographic dissimilarity in soil microbiomes among populations is influenced by both abiotic and biotic environmental variation; and 3) soil microbiomes that vary in response to abiotic and biotic factors can change plant foliar phenology. We show soil microbiomes respond to intraspecific variation at the tree genotype and population level, and geographic variation in soil characteristics and climate. Using a fully reciprocal plant population by soil location feedback experiment, we identified a climate-based soil microbiome effect that advanced and delayed bud break phenology by approximately 10 days. These results demonstrate a landscape-level feedback between tree populations and associated soil microbial communities and suggest soil microbes may play important roles in mediating and buffering bud break phenology with climate warming, with whole ecosystem implications.

          Abstract

          Ian Ware et al. use reciprocal plant population by soil location feedback experiments to show how the soil microbiomes of the narrowleaf cottonwood are influenced by genetic and environmental variation, and how these factors affect foliar phenology. They find a landscape-level feedback between tree populations and their associated soil microbial counterparts. This study contributes to the understanding of the interplay between soil, climate, plant and microbial populations with climate warming.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            Very high resolution interpolated climate surfaces for global land areas

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              A globally coherent fingerprint of climate change impacts across natural systems.

              Causal attribution of recent biological trends to climate change is complicated because non-climatic influences dominate local, short-term biological changes. Any underlying signal from climate change is likely to be revealed by analyses that seek systematic trends across diverse species and geographic regions; however, debates within the Intergovernmental Panel on Climate Change (IPCC) reveal several definitions of a 'systematic trend'. Here, we explore these differences, apply diverse analyses to more than 1,700 species, and show that recent biological trends match climate change predictions. Global meta-analyses documented significant range shifts averaging 6.1 km per decade towards the poles (or metres per decade upward), and significant mean advancement of spring events by 2.3 days per decade. We define a diagnostic fingerprint of temporal and spatial 'sign-switching' responses uniquely predicted by twentieth century climate trends. Among appropriate long-term/large-scale/multi-species data sets, this diagnostic fingerprint was found for 279 species. This suite of analyses generates 'very high confidence' (as laid down by the IPCC) that climate change is already affecting living systems.
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                Author and article information

                Contributors
                ianmware@gmail.com
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                16 June 2021
                16 June 2021
                2021
                : 4
                : 748
                Affiliations
                [1 ]GRID grid.411461.7, ISNI 0000 0001 2315 1184, Department of Ecology and Evolutionary Biology, , University of Tennessee, ; Knoxville, TN USA
                [2 ]GRID grid.135519.a, ISNI 0000 0004 0446 2659, Biosciences Division, , Oak Ridge National Laboratory, ; Oak Ridge, TN USA
                [3 ]GRID grid.411461.7, ISNI 0000 0001 2315 1184, Department of Microbiology, , University of Tennessee, ; Knoxville, TN USA
                [4 ]GRID grid.497404.a, ISNI 0000 0001 0662 4365, Present Address: Pacific Southwest Research Station, , Institute of Pacific Islands Forestry, USDA Forest Service, ; Hilo, HI USA
                [5 ]GRID grid.168010.e, ISNI 0000000419368956, Present Address: Department of Biology, , Stanford University, ; Stanford, CA USA
                Author information
                http://orcid.org/0000-0002-2101-5653
                http://orcid.org/0000-0002-3333-0212
                http://orcid.org/0000-0001-8759-2448
                Article
                2244
                10.1038/s42003-021-02244-5
                8209103
                34135464
                ffdaf701-2327-40e5-9854-8dbec12fbe3b
                © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 February 2020
                : 12 May 2021
                Categories
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                © The Author(s) 2021

                phenology,microbial ecology
                phenology, microbial ecology

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