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An integrated acetic acid based one-pot protic ionic liquid pretreatment and saccharification enables the near full conversion of poplar polysaccharides.
We present a method for depolymerization of poplar lignin for microbial conversion via sulfonation and Fenton chemistry.
Most investigations of plant responses to changes in temperature have focused on a constant increase in mean day/night temperature without considering how differences in temperature cycles can affect physiological processes and growth. To test the effects of changes in growth temperature on foliar carbon balance and plant growth, we repeatedly exposed poplar saplings (Populus deltoides × nigra) to temperature cycles consisting of 5 days of a moderate (M, +5 °C) or extreme (E, +10 °C) increase in temperature followed by 5 days of a moderate (M, -5 °C) or extreme (E, -10 °C) decrease in temperature, with respect to a control treatment (C, 23.4 °C). The temperature treatments had the same mean temperature over each warm and cool cycle and over the entire study. Our goal was to examine the influence of recurring temperature shifts on growth. Net photosynthesis (A) was relatively insensitive to changes in growth temperature (from 20 to 35 °C), suggesting a broad range of optimum temperature for photosynthesis. Leaf respiration (R) exhibited substantial acclimation to temperature, having nearly the same rate at 13 °C as at 33 °C. There was no evidence that preconditioning through temperature cycles affected the response of A or R to treatment temperature fluctuations. Averaged across the complete warm/cool temperature cycle, the A : R ratio did not differ among the temperature treatments. While foliar carbon balance was not affected, the temperature treatments significantly affected growth. Whole-plant biomass was 1.5 times greater in the M treatment relative to the C treatment. Carbon allocation was also affected with shoot volume and biomass greater in the M and E treatments than in the C treatment. Our findings indicate that temperature fluctuations can have important effects on growth, though there were few effects on leaf gas exchange, and can help explain differences in growth that are not correlated with mean growth temperature.
The need for renewable energy sources will lead to a considerable expansion in the planting of dedicated fast-growing biomass crops across Europe. These are commonly cultivated as short-rotation coppice (SRC), and currently poplar ( Populus spp.) is the most widely planted. In this study, we report the greenhouse gas (GHG) fluxes of carbon dioxide (CO 2 ), methane (CH 4 ) and nitrous oxide (N 2 O) measured using eddy covariance technique in an SRC plantation for bioenergy production. Measurements were made during the period 2010–2013, that is, during the first two rotations of the SRC. The overall GHG balance of the 4 years of the study was an emission of 1.90 (±1.37) Mg CO 2 eq ha -1 ; this indicated that soil trace gas emissions offset the CO 2 uptake by the plantation. CH 4 and N 2 O contributed almost equally to offset the CO 2 uptake of -5.28 (±0.67) Mg CO2eq ha -1 with an overall emission of 3.56 (±0.35) Mg CO 2 eq ha -1 of N 2 O and of 3.53 (±0.85) Mg CO 2 eq ha-1 of CH 4 . N 2 O emissions mostly occurred during one single peak a few months after the site was converted to SRC; this peak comprised 44% of the total N 2 O loss during the two rotations. Accurately capturing emission events proved to be critical for deriving correct estimates of the GHG balance. The nitrogen (N) content of the soil and the water table depth were the two drivers that best explained the variability in N 2 O and CH 4 , respectively. Here, this study underlines the importance of the ‘non-CO 2 GHGs’ on the overall balance. Further long-term investigations of soil trace gas emissions should monitor the N content and the mineralization rate of the soil, as well as the microbial community, as drivers of the trace gas emissions.
Galactinol synthase is a pivotal enzyme involved in the synthesis of the raffinose family of oligosaccharides (RFOs) that function as transport carbohydrates in the phloem, as storage compounds in sink tissues and as soluble metabolites that combat both abiotic and biotic stress in several plant species. For hybrid poplar (Populus alba 9 grandidentata) overexpressing the Arabidopsis thaliana GolS3 (AtGolS3) gene showed clear effects on development; the extreme overexpressing lines were stunted and had cell wall traits characteristic of tension wood, whereas lines with only moderate up-regulation grew normally and had moderately altered secondary cell wall composition and ultrastructure. Stem cross-sections of the developing xylem revealed a significant increase in the number of vessels, as well as the clear presence of a G-layer in the fibres. Furthermore, AtGolS3-OE lines possessed higher cellulose and lower lignin contents, an increase in cellulose crystallinity, and significantly altered hemicellulose-derived carbohydrates, notably manifested by their mannose and xylose contents. Additionally, the transgenic plants displayed elevated xylem starch content. Transcriptome interrogation of the transgenic plants showed a significant up-regulation of genes involved in the synthesis of myo-inositol, along with genes involved in sucrose degradation. Our results suggest that the over expression of GolS and its product galactinol may serve as a molecular signal that initiates metabolic changes, culminating in a change in cell wall development and potentially the formation of tension wood.
Summary In Populus , low nitrogen ( LN ) elicits rapid and vigorous lateral root ( LR ) proliferation, which is closely mirrored by corresponding transcriptomic changes. Using transcriptomic data, we built a genetic network encompassing a large proportion of the differentially regulated transcriptome. The network is organized in a hierarchical fashion, centered on 11 genes. Transgenic manipulations of only three of the 11 genes had a strong impact on root development under LN . These three genes encoded an F‐box protein similar to Hawaiian Skirt ( Pta HWS ) and two transcription factors ( Pta RAP 2.11 and Pta NAC 1 ). Up‐ and downregulation of the three genes caused increased and decreased root proliferation under LN conditions, respectively. The transgenic manipulations had a strong positive effect on growth under greenhouse conditions including increased shoot and root biomass. The three genes appeared to encompass a putative yet‐unknown mechanism that underlies root development under LN . Specifically, the genes are predominantly expressed in roots and have a similar temporal response to LN . More importantly, transgenic manipulation for each of the three genes had a highly significant impact on the expression of the other two. The transgenic manipulations appear to also affect the expression of the regulatory mi RNA ( Ptami RNA 164e ) of one of the transcription factors ( Pta NAC 1 ), albeit in an opposite fashion. Consistent with a putative function of Pta HWS in proteasome degradation, treatment with proteasome inhibitor reversed the expression changes in the transgenic plants. The insights from this study will allow genetic modifications of root architecture for more efficient and dynamic nitrogen foraging in biofuel crops like poplar.
Ectomycorrhizal symbiosis supports tree growth and is crucial for nutrient cycling and temperate and boreal ecosystems functioning. The establishment of functional ectomycorrhiza (ECM) first requires the association of compatible partners. However, host and fungal genetic determinants governing mycorrhizal compatibility are unknown. To identify such factors in poplar and its fungal associates, we mined existing and de novo tree and fungal transcriptional datasets. We identified co-expressed genes enabling ECM symbiosis at early and mature stages of the interaction. These sets of genes can be divided into general fungal-sensing and ECM-specific components. We highlight the importance of fungal modulation of plant JA-related defenses and the regulation of secretory pathways for ECM compatibility, including upregulation of key fungal small secreted proteins, the downregulation of plant secreted peroxidases, and the downregulation of plant cell wall remodeling proteins concomitantly with the upregulation of fungal glycosyl hydrolases acting on pectin. Not only gene regulation, but also its temporal scale and dynamics seem to play a crucial role for mycorrhizal compatibility. The expression profile of the host Common Symbiosis Pathway and nutrient transporters was also studied, revealing constitutive levels of expression and moderate upregulation in compatible ECM interactions. Overall, these results underscore the importance of novel biological functions during the establishment of ECM symbiosis, help us gain insights into the molecular events determining mycorrhiza compatibility, and serve as a data-rich transcriptomic resource to open new research questions in the field.
We sequenced two metagenomes of sediments from the East Fork Poplar Creek in the Oak Ridge Reservation (Oak Ridge, TN), a natural stream that has been contaminated with Hg from upstream sources, and we reconstructed 28 metagenome-assembled genomes of novel prokaryotic species.
Alkaline hydrogen peroxide pretreatment catalyzed by Cu(II) 2,2'-bipyridine complexes has previously been determined to substantially improve the enzymatic hydrolysis of woody plants including hybrid poplar as a consequence of moderate delignification. In the present work, cell wall morphological and lignin structural changes were characterized for this pretreatment approach to gain insights into pretreatment outcomes and, specifically, to identify the extent and nature of lignin modification.
These data were collected to study diel patterns in water chemistry along East Fork Poplar Creek to improve our understanding of controls on mercury and methylmercury sources and fluxes.
This data set reports stream water temperature, specific conductance, pH, turbidity, dissolved oxygen percent saturation and dissolved oxygen concentration for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream discharge and water temperature for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports stream discharge and water temperature for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 16.2 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This data set reports stream water temperature, specific conductance, pH, dissolved oxygen percent saturation, dissolved oxygen concentration, and turbidity for East Fork Poplar Creek at a location approximately 5.4 kilometers upstream from the mouth of the creek.
This study presents significant advancements in computational cannula microscopy for live imaging of cellular dynamics in poplar wood tissues. Leveraging machine-learning models such as pix2pix for image reconstruction, we achieved high-resolution imaging with a field of view of 55µm using a 50µm-core diameter probe. Our method allows for real-time image reconstruction at 0.29 s per frame with a mean absolute error of 0.07. We successfully captured cellular-level dynamics in vivo , demonstrating morphological changes at resolutions as small as 3µm. We implemented two types of probabilistic neural network models to quantify confidence levels in the reconstructed images. This approach facilitates context-aware, human-in-the-loop analysis, which is crucial for in vivo imaging where ground-truth data is unavailable. Using this approach we demonstrated deep in vivo computational imaging of living plant tissue with high confidence (disagreement score ⪅0.2). This work addresses the challenges of imaging live plant tissues, offering a practical and minimally invasive tool for plant biologists.