Modeling the parameters for plasmodesmal sugar filtering in active symplasmic phloem loaders - PubMed (original) (raw)
Modeling the parameters for plasmodesmal sugar filtering in active symplasmic phloem loaders
Johannes Liesche et al. Front Plant Sci. 2013.
Abstract
Plasmodesmata (PD) play a key role in loading of sugars into the phloem. In plant species that employ the so-called active symplasmic loading strategy, sucrose that diffuses into their unique intermediary cells (ICs) is converted into sugar oligomers. According to the prevalent hypothesis, the oligomers are too large to pass back through PD on the bundle sheath side, but can pass on into the sieve element to be transported in the phloem. Here, we investigate if the PD at the bundle sheath-IC interface can indeed fulfill the function of blocking transport of sugar oligomers while still enabling efficient diffusion of sucrose. Hindrance factors are derived via theoretical modeling for different PD substructure configurations: sub-nano channels, slit, and hydrogel. The results suggest that a strong discrimination could only be realized when the PD opening is almost as small as the sugar oligomers. In order to find model parameters that match the in vivo situation, we measured the effective diffusion coefficient across the interface in question in Cucurbita pepo with 3D-photoactivation microscopy. Calculations indicate that a PD substructure of several sub-nano channels with a radius around 7 Å, a 10.4 Å-wide slit or a hydrogel with 49% polymer fraction would be compatible with the effective diffusion coefficient. If these configurations can accommodate sufficient flux of sucrose into the IC, while blocking raffinose and stachyose movement was assessed using literature data. While the slit-configuration would efficiently prevent the sugar oligomers from "leaking" from the IC, none of the configurations could enable a diffusion-driven sucrose flux that matches the reported rates at a physiologically relevant concentration potential. The presented data provides a first insight on how the substructure of PD could enable selective transport, but indicates that additional factors are involved in efficient phloem loading in active symplasmic loading species.
Keywords: carbon allocation; hindered diffusion; phloem loading; plasmodesmata; polymer trap.
Figures
Figure 1
Schematic representations of hypothetical plasmodesmata substructure. (A) Nano channel model proposed by Ding et al. (1992). (B) Cytoplasmic sleeve model proposed by Waigmann et al. (1997). (C,D) Cytoplasmic sleeve filled by polymer-meshwork hydrogel. Light gray—cell wall, black—plasma membrane, dark gray—proteins, green—desmotuble.
Figure 2
Logarithmic scale plots of diffusion hindrance in relation to hypothetical plasmodesmata substructure configurations. Hindrance factor for sucrose, raffinose, and stachyose increases faster with smaller dimensions in single plasmodesmal channels (A) than in a cytoplasmic sleeve (B). Hindrance in hydrogels (C) is moderate, even at high volume fractions.
Figure 3
Plot of effective diffusion coefficient for diffusion of fluorescein through plasmodesmata with sub-nano channel configuration. The curve shows at which combination of number of channels and channel radius the experimentally determined value is matched.
Figure 4
Logarithmic scale plot of sugar flux and concentration potential between bundle sheath cells and intermediary cells for different plasmodesmata configurations. (A) Sub-nano channel configuration assuming 9 channels with 6.5 Å radius. (B) Slit configuration assuming half slit width of 5.2 Å. (C) Hydrogel configuration assuming a polymer volume fraction of 0.49. Vertical lines indicate sugar concentration potentials as provided by Haritatos et al. (1996). Horizontal lines indicate sucrose flux values provided by Schmitz et al. (, gray) and a flux range based on values listed in Table 2 (blue). Raffinose flux is strongly hindered in the slit model in contrast to the other configurations, which would enable considerable “leakage” out of the intermediary cell. Hindrance of sucrose flux at concentration potentials observed by Haritatos et al. (1996) would in all models be orders of magnitude too high to realize flux rates reported by Schmitz et al. (1987) and other authors.
Figure A1
Confocal image of a photoactivation experiment in a Cucurbita pepo leaf. The image shows a single optical section of a 30 μm thick z-stack that was recorded at one time point during the 10 s-long photoactivation phase. The fluorescence of the activated tracer is displayed as extended focus projection in green, overlaid over the brightfield image. In image analysis, three-dimensional regions of interest are drawn adjacent to the cell wall between the bundle sheath target cell (T) and the intermediary cell (*) in order to quantify diffusion of activated tracer. Scale bar: 10 μm.
Similar articles
- Diffusion and bulk flow in phloem loading: a theoretical analysis of the polymer trap mechanism for sugar transport in plants.
Dölger J, Rademaker H, Liesche J, Schulz A, Bohr T. Dölger J, et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Oct;90(4):042704. doi: 10.1103/PhysRevE.90.042704. Epub 2014 Oct 8. Phys Rev E Stat Nonlin Soft Matter Phys. 2014. PMID: 25375520 - Diffusion or bulk flow: how plasmodesmata facilitate pre-phloem transport of assimilates.
Schulz A. Schulz A. J Plant Res. 2015 Jan;128(1):49-61. doi: 10.1007/s10265-014-0676-5. Epub 2014 Dec 17. J Plant Res. 2015. PMID: 25516499 Review. - Sucrose transporters and plasmodesmal regulation in passive phloem loading.
Liesche J. Liesche J. J Integr Plant Biol. 2017 May;59(5):311-321. doi: 10.1111/jipb.12548. J Integr Plant Biol. 2017. PMID: 28429873 - Quantification of Symplasmic Phloem Loading Capacity with Live-Cell Microscopy.
Martens HJ, Gao C, Liesche J. Martens HJ, et al. Methods Mol Biol. 2019;2014:215-221. doi: 10.1007/978-1-4939-9562-2_18. Methods Mol Biol. 2019. PMID: 31197799 - Phloem Loading and Unloading of Sucrose: What a Long, Strange Trip from Source to Sink.
Braun DM. Braun DM. Annu Rev Plant Biol. 2022 May 20;73:553-584. doi: 10.1146/annurev-arplant-070721-083240. Epub 2022 Feb 16. Annu Rev Plant Biol. 2022. PMID: 35171647 Review.
Cited by
- Computational Tools for Serial Block Electron Microscopy Reveal Plasmodesmata Distributions and Wall Environments.
Paterlini A, Belevich I, Jokitalo E, Helariutta Y. Paterlini A, et al. Plant Physiol. 2020 Sep;184(1):53-64. doi: 10.1104/pp.20.00396. Epub 2020 Jul 23. Plant Physiol. 2020. PMID: 32719057 Free PMC article. - Cyclosis-mediated intercellular transmission of photosynthetic metabolites in Chara revealed with chlorophyll microfluorometry.
Bulychev AA. Bulychev AA. Protoplasma. 2019 May;256(3):815-826. doi: 10.1007/s00709-018-01344-0. Epub 2019 Jan 4. Protoplasma. 2019. PMID: 30610387 - Phloem: the integrative avenue for resource distribution, signaling, and defense.
van Bel AJ, Helariutta Y, Thompson GA, Ton J, Dinant S, Ding B, Patrick JW. van Bel AJ, et al. Front Plant Sci. 2013 Nov 25;4:471. doi: 10.3389/fpls.2013.00471. eCollection 2013. Front Plant Sci. 2013. PMID: 24324476 Free PMC article. No abstract available. - Coordination Between Phloem Loading and Structure Maintains Carbon Transport Under Drought.
Stanfield RC, Bartlett MK. Stanfield RC, et al. Front Plant Sci. 2022 Feb 17;13:787837. doi: 10.3389/fpls.2022.787837. eCollection 2022. Front Plant Sci. 2022. PMID: 35251074 Free PMC article. - Characterization, localization, and seasonal changes of the sucrose transporter FeSUT1 in the phloem of Fraxinus excelsior.
Öner-Sieben S, Rappl C, Sauer N, Stadler R, Lohaus G. Öner-Sieben S, et al. J Exp Bot. 2015 Aug;66(15):4807-19. doi: 10.1093/jxb/erv255. Epub 2015 May 28. J Exp Bot. 2015. PMID: 26022258 Free PMC article.
References
- Amsden B. (1998a). Solute diffusion in hydrogels. an examination of the retardation effect. Polym. Gels Netw. 6, 13–43 10.1016/S0966-7822(97)00012-9 - DOI
- Amsden B. (1998b). Solute diffusion within hydrogels. Mech. Models Macromol. 31, 8382–8395 10.1021/ma980765f - DOI
- Botha C. E. J., Hartley B. J., Cross R. H. M. (1993). The ultrastructure and computer-enhanced digital image-analysis of plasmodesmata at the Kranz mesophyll-bundle sheath interface of Themeda triandra var imberbis (Retz) A. Camus in conventionally-fixed leaf blades. Ann. Bot. 72, 255–261
LinkOut - more resources
Full Text Sources
Other Literature Sources