ORCID Profile
0000-0001-7069-4560
Current Organisations
ISTI - CNR
,
Argonne National Laboratory
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Publisher: IEEE
Date: 09-2017
DOI: 10.1109/RE.2017.64
Publisher: Wiley
Date: 26-03-2021
DOI: 10.1111/GCB.15580
Publisher: Wiley
Date: 26-08-2021
DOI: 10.1111/GCB.15850
Abstract: Here we respond to Baveye and colleagues' recent critique of our PROMISE model, describing how this new framework significantly advances our understanding of soil spatial heterogeneity and its influence on organic matter transformations.
Publisher: Wiley
Date: 16-10-2020
DOI: 10.1111/GCB.15365
Publisher: Springer Science and Business Media LLC
Date: 27-01-2021
DOI: 10.1038/S41586-020-03127-1
Abstract: Long-term climate change and periodic environmental extremes threaten food and fuel security 1 and global crop productivity 2–4 . Although molecular and adaptive breeding strategies can buffer the effects of climatic stress and improve crop resilience 5 , these approaches require sufficient knowledge of the genes that underlie productivity and adaptation 6 —knowledge that has been limited to a small number of well-studied model systems. Here we present the assembly and annotation of the large and complex genome of the polyploid bioenergy crop switchgrass ( Panicum virgatum ). Analysis of biomass and survival among 732 resequenced genotypes, which were grown across 10 common gardens that span 1,800 km of latitude, jointly revealed extensive genomic evidence of climate adaptation. Climate–gene–biomass associations were abundant but varied considerably among deeply erged gene pools. Furthermore, we found that gene flow accelerated climate adaptation during the postglacial colonization of northern habitats through introgression of alleles from a pre-adapted northern gene pool. The polyploid nature of switchgrass also enhanced adaptive potential through the fractionation of gene function, as there was an increased level of heritable genetic ersity on the nondominant subgenome. In addition to investigating patterns of climate adaptation, the genome resources and gene–trait associations developed here provide breeders with the necessary tools to increase switchgrass yield for the sustainable production of bioenergy.
Publisher: Springer International Publishing
Date: 2018
Publisher: Wiley
Date: 28-10-2013
Publisher: Springer Science and Business Media LLC
Date: 16-05-2019
Publisher: Springer Science and Business Media LLC
Date: 16-07-2020
Publisher: Elsevier BV
Date: 2013
Publisher: IEEE
Date: 09-2017
DOI: 10.1109/RE.2017.15
Publisher: Wiley
Date: 10-01-2016
DOI: 10.1111/GCBB.12309
Publisher: Wiley
Date: 19-08-2013
DOI: 10.1111/NPH.12440
Abstract: The rhizosphere priming effect ( RPE ) is a mechanism by which plants interact with soil functions. The large impact of the RPE on soil organic matter decomposition rates (from 50% reduction to 380% increase) warrants similar attention to that being paid to climatic controls on ecosystem functions. Furthermore, global increases in atmospheric CO 2 concentration and surface temperature can significantly alter the RPE . Our analysis using a game theoretic model suggests that the RPE may have resulted from an evolutionarily stable mutualistic association between plants and rhizosphere microbes. Through model simulations based on microbial physiology, we demonstrate that a shift in microbial metabolic response to different substrate inputs from plants is a plausible mechanism leading to positive or negative RPE s. In a case study of the Duke Free‐Air CO 2 Enrichment experiment, performance of the PhotoCent model was significantly improved by including an RPE ‐induced 40% increase in soil organic matter decomposition rate for the elevated CO 2 treatment – demonstrating the value of incorporating the RPE into future ecosystem models. Overall, the RPE is emerging as a crucial mechanism in terrestrial ecosystems, which awaits substantial research and model development. Contents Summary 31 I. Introduction 31 II. Magnitude and driving variables of the rhizosphere priming effect 32 III. Will global environmental change alter the RPE? 34 IV. A game theoretic model: is priming the result of evolutionarily stable strategies? 35 V. A microbial physiology‐based model: simulating positive and negative RPEs 37 VI. A case study: matching simulation results with observations at the Duke FACE 38 VII. Research needs and future perspectives 39 Acknowledgements 41 References 41
Publisher: Proceedings of the National Academy of Sciences
Date: 13-02-2023
Abstract: We used a model for permafrost hydrology informed by detailed measurements of soil ice content to better understand the potential risk of abrupt permafrost thaw triggered by melting ground ice, a key open question associated with permafrost response to a warming Arctic. Our spatially resolved simulations of a well-characterized site in polygonal tundra near Utqiaġvik, Alaska, agree well with multiple types of observations in the current climate. Projections indicate 63 cm of bulk subsidence from 2006 to 2100 in the strong-warming Representative Concentration Pathway 8.5 climate. Permafrost thaw as measured by the increase in active layer thickness (ALT)—the thickness of the soil layer that thaws each summer—is accelerated by subsidence, but the effect is relatively small. The ALT increases from the current-day value of approximately 50 cm to approximately 180 cm by 2100 when subsidence is included compared to about 160 cm when it is neglected. In these simulations, previously identified positive feedbacks between subsidence and thaw are self-limiting on decadal time frames because landscape runoff and increasing evapotranspiration result in drier tundra with weaker surface/atmosphere coupling. These results for a tundra site that is representative of large swathes of the Alaska North Slope suggest that subsidence is unlikely to lead to abrupt thaw over large areas. However, subsidence does have significant effects on the hydrology of polygonal tundra. Specifically, subsidence increases landscape runoff, which helps maintain streamflow in the face of increased evapotranspiration but also causes drier tundra conditions that could have deleterious effects on sensitive Arctic wetland ecosystems.
Publisher: Springer Science and Business Media LLC
Date: 11-2017
DOI: 10.1038/NATURE24621
Abstract: Our growing awareness of the microbial world’s importance and ersity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community s les collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of ersity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth’s microbial ersity.
Publisher: IEEE
Date: 08-2018
Publisher: IEEE
Date: 09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
No related grants have been discovered for Julie Jastrow.