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6 results for “cell wall composition”

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dryad32/100

Data from: Cell wall composition and bioenergy potential of rice straw tissues are influenced by environment, tissue type, and genotype

Breeding has transformed wild plant species into modern crops, increasing the allocation of their photosynthetic assimilate into grain, fiber, and other products for human use. Despite progress in increasing the harvest index, much of the biomass of crop plants is not utilized. Potential uses for the large amounts of agricultural residues that accumulate are animal fodder or bioenergy, though these may not be economically viable without additional efforts such as targeted breeding or improved processing. We characterized leaf and stem tissue from a diverse set of rice genotypes (varieties) grown in two environments (greenhouse and field) and report bioenergy-related traits across these variables. Among the 16 traits measured, cellulose, hemicelluloses, lignin, ash, total glucose, and glucose yield changed across environments, irrespective of the genotypes. Stem and leaf tissue composition differed for most traits, consistent with their unique functional contributions and suggesting that they are under separate genetic control. Plant variety had the least influence on the measured traits. High glucose yield was associated with high total glucose and hemicelluloses, but low lignin and ash content. Bioenergy yield of greenhouse-grown biomass was higher than field-grown biomass, suggesting that greenhouse studies overestimate bioenergy potential. Nevertheless, glucose yield in the greenhouse predicts glucose yield in the field (ρ = 0.85, p < 0.01) and could be used to optimize greenhouse (GH) and field breeding trials. Overall, efforts to improve cell wall composition for bioenergy require consideration of production environment, tissue type, and variety.

opencc-zeroDec 2014View details →
dryad32/100

Cell wall thickness and composition are involved in photosynthetic limitation

<p><span><span><span><span><span><span><span><span><span><span><span>The key role of cell walls in setting mesophyll conductance to CO<sub>2</sub> (<i>g</i><sub>m</sub>) and, consequently, photosynthesis, is reviewed. First, the theoretical properties of cell walls that can affect <i>g</i><sub>m</sub> are presented. Then, we focus on cell wall thickness (<i>T</i><sub>cw</sub>) reviewing empirical evidence showing that <i>T</i><sub>cw</sub> varies strongly among species and phylogenetic groups in a way that correlates with <i>g</i><sub>m</sub> and photosynthesis i.e. the thicker the mesophyll cell walls, the lower <i>g</i><sub>m</sub> and photosynthesis. Potential interplays of <i>g</i><sub>m</sub>, <i>T</i><sub>cw</sub>, dehydration tolerance and hydraulic properties of leaves are also discussed. Dynamic variations of <i>T</i><sub>cw</sub> in response to the environment and their implications in the regulation of photosynthesis are discussed, and recent evidence suggesting an influence of cell wall composition on <i>g</i><sub>m</sub> are presented. We then propose a hypothetical mechanism for the influence of cell walls on photosynthesis, combining the effects of thickness and composition, particularly pectins. Finally, we discuss the prospects for using biotechnology for enhancing photosynthesis by means of altering cell wall-related genes.</span></span></span></span></span></span></span></span></span></span></span></p>

opencc-zeroMar 2022View details →
dryad32/100

Data from: Cell wall composition and bioenergy potential of rice straw tissues are influenced by environment, tissue type, and genotype

Open the record for dataset details and reuse information.

publicDec 2015View details →
dryad32/100

Cell wall thickness and composition are involved in photosynthetic limitation

Open the record for dataset details and reuse information.

publicAug 2021View details →
zenodo28/100

Data belonging to the paper"Culm cell-wall compositions of tribes Bambuseae and Olyreae (subfamily Bambusoideae; Family Poaceae) from the Brazilian Atlantic Forest"

<p>The data in the following table (Appendix 1) presents relative areas produced from the integration of the peaks monosaccharides analysed by anion-exchange chromatography followed by integrated pulsed amperometric detection (PAD) from of the cell wall fractionation three biological samples of six Neotropical bamboo species collected</p>

opencc-by-4.0May 2020View details →
geo24/100

Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

GEO Series GSE26757. Medicago sativa. 6 samples. Type: Expression profiling by high throughput sequencing; Genome variation profiling by high throughput sequencing; Other.

openGEO-OpenApr 2011View details →

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DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record