Mechanistic understanding of non-spherical bacterial attachment and deposition on plant surface structures

Warning, Alexander; Datta, Ashim K.

doi:10.1016/j.ces.2016.11.030

Cited by 11 publications

(16 citation statements)

References 78 publications

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“…These and other potentially seagrass-curated microbial partners could allow us to identify mechanisms in the future that have allowed seagrasses to persist in these extreme environments with a host of new biotic interactions as well ranging from microalgae to marine microbial communities. Future experiments could also investigate interactions involving microbial attachment and facilitation or deterrence by plant exudates as has been explored in terrestrial systems (Zhang et al ., 2014; Doan and Leveau, 2015; Warning and Datta, 2017) to compare differences that have arisen with transitions to sea.…”

Section: Discussionmentioning

confidence: 99%

More than a stick in the mud: Eelgrass leaf and root bacterial communities are distinct from those on physical mimics

Kardish

2021

Preprint

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We examine the role of physical structure vs. biotic interactions in structuring host-associated microbial communities on a marine angiosperm, Zostera marina, eelgrass. Across several months and sites, we compared microbiomes on physical mimics of eelgrass roots and leaves to those on intact plants. We find large, consistent differences in the microbiome of mimics and plants, especially on roots, but also on leaves. Key taxa that are more abundant on leaves have been associated with microalgal and macroalgal disease and merit further investigation to determine their role in mediating plant-microalgal-pathogen interactions. Root associated taxa were associated with sulfur and nitrogen cycling, potentially ameliorating environmental stresses for the plant. Our work identifies targets for future work on the functional role of the seagrass microbiome in promoting the success of these angiosperms in the sea.

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Section: Discussionmentioning

confidence: 99%

More than a stick in the mud: Eelgrass leaf and root bacterial communities are distinct from those on physical mimics

Kardish

2021

Preprint

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“…(b) An overview of torques acting on a bacterial cell to calculate bacterial rotational velocity and angle for nonspherical bacteria. These forces and torques are used in discrete modeling approaches such as IbMs (Warning, 2016) and particle tracking models (Warning & Datta, 2017) Discrete models…”

Section: Continuum Modelsmentioning

confidence: 99%

“…These Da values were used as criteria to include bacterial growth in the bacterial transport equation by Ranjbaran, Solhtalab and Datta (2020) during physics-based modeling of light-driven bacterial infiltration into plant leaves (Figure 11c). Other examples of this kind include passive infiltration into solid food during vacuum cooling (Ranjbaran & Datta, 2019) and hydrocooling (Warning, Datta, & Bartz, 2016) (Section 6.5), and passive bacterial attachment in liquid (Warning & Datta, 2017) (Section 6.4), (c) Active transport of bacteria during processing: light-driven transport of bacteria into a leaf tissue through open stoma (Section 6.5) (Ranjbaran, Solhtalab, & Datta , 2020). Another example of this kind is active infiltration of bacteria into meat tissue (Shirai et al, 2017).…”

Section: Timescales Of Bacterial Transport and Growth/death/inactivationmentioning

confidence: 99%

Engineering modeling frameworks for microbial food safety at various scales

Ranjbaran

Carciofi

Datta

2021

Comp Rev Food Sci Food Safe

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The landscape of mathematical model-based understanding of microbial food safety is wide and deep, covering interdisciplinary fields of food science, microbiology, physics, and engineering. With rapidly growing interest in such modelbased approaches that increasingly include more fundamental mechanisms of microbial processes, there is a need to build a general framework that steers this evolutionary process by synthesizing literature spread over many disciplines. The framework proposed here shows four interconnected, complementary levels of microbial food processes covering sub-cellular scale, microbial population scale, food scale, and human population scale (risk). A continuum of completely mechanistic to completely empirical models, widely-used and emerging, are integrated into the framework; well-known predictive microbiology modeling being a part of this spectrum. The framework emphasizes fundamentals-based approaches that should get enriched over time, such as the basic building blocks of microbial population scale processes (attachment, migration, growth, death/inactivation and communication) and of food processes (e.g., heat and moisture transfer).A spectrum of models are included, for example, microbial population modeling covers traditional predictive microbiology models to individual-based models and cellular automata. The models are shown in sufficient quantitative detail to make obvious their coupling, or their integration over various levels. Guidelines to combine sub-processes over various spatial and time scales into a complete interdisciplinary and multiphysics model (i.e., a system) are provided, covering microbial growth/inactivation/transport and physical processes such as fluid flow and heat transfer. As food safety becomes increasingly predictive at various scales, this synthesis should provide its roadmap. This big picture and framework should be futuristic in driving novel research and educational approaches.

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“…Several bacteria, such as Escherichia coli and Salmonella enterica, are able to attach the microstructure at the surface of plant leaves, such as trichomes, stomata and grooves [1], and localize at sites that are not accessible for wash water and sanitizers. The bacteria are also able to infiltrate into available openings at the leaf surface, such as stomata, cuts and wounds, to reach tens of micrometer depths below the leaf epidermis [2].…”

Section: Introductionmentioning

confidence: 99%

Mechanistic modeling of light-induced chemotactic infiltration of bacteria into leaf stomata

2020

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Light is one of the factors that can play a role in bacterial infiltration into leafy greens by keeping stomata open and providing photosynthetic products for microorganisms. We model chemotactic transport of bacteria within a leaf tissue in response to photosynthesis occurring within plant mesophyll. The model includes transport of carbon dioxide, oxygen, bicarbonate, sucrose/glucose, bacteria, and autoinducer-2 within the leaf tissue. Biological processes of carbon fixation in chloroplasts, and respiration in mitochondria of the plant cells, as well as motility, chemotaxis, nutrient consumption and communication in the bacterial community are considered. We show that presence of light is enough to boost bacterial chemotaxis through the stomatal opening and toward photosynthetic products within the leaf tissue. Bacterial chemotactic ability is a major player in infiltration, and plant stomatal defense in closing the stomata as a perception of microbe-associated molecular patterns is an effective way to inhibit the infiltration.

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Mechanistic understanding of non-spherical bacterial attachment and deposition on plant surface structures

Cited by 11 publications

References 78 publications

More than a stick in the mud: Eelgrass leaf and root bacterial communities are distinct from those on physical mimics

More than a stick in the mud: Eelgrass leaf and root bacterial communities are distinct from those on physical mimics

Engineering modeling frameworks for microbial food safety at various scales

Mechanistic modeling of light-induced chemotactic infiltration of bacteria into leaf stomata

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