Relationship between rate of diffusion and cell size

Diffusion Simulation

relationship between rate of diffusion and cell size

As the size of a cell increases, its ability to facilitate diffusion across its cell The lowered diffusion rate and the accompanying decrease in the speed of waste. However, as a cell grows in size, its volume increases at a greater rate than its Observe the relationship between cell size and extent of diffusion in the agar. the bigger the size of the cell, the slower the rate of diffusion. that's why cells split in two when they get too big.

In reality, as we shall see, the RHt2 curve may not always be appropriate for the task at hand.

Effect of surface area and volume on the rate of diffusion by Hana Jawz on Prezi

Ultimately, if all else is equal, an organism which requires a lower substrate concentration to support a growth rate G at half that of its maximum i. While in models KG is usually set as an input constant, the real value is an emergent function of nutrient transport and whole organism physiology. For example, KG for iron-limited phytoplankton growth depends greatly on whether nitrate or ammonium is used as the N-source, and also on the incident irradiance under which the phytoplankton grow [ 8 ].

To make the linkage between transport and growth kinetics thus requires an appreciation of the underlying physiology. Nutrient transport kinetics Nutrient transport e. In addition, individual nutrient types may be taken up by several different transporter proteins [ 14 — 16 ], some of which may support biphasic kinetics [ 16 — 18 ]. Here, to simplify discussions, we will consider transport via a single monophasic transporter type.

  • What is the relationship between rate of diffusion and cell size?
  • How does surface area to volume ratio affect the rate of diffusion?

While transporter proteins are not strictly enzymes as they typically do not change the chemical form of their substratethey express an affinity for the nutrients they transport; by analogy with the Michaelis-Menten half saturation value of enzymes, KM, we term this substrate concentration KT.

The constant KM is a function of the affinity of the enzyme for the substrate in classic Michaelis-Menten terminology and is determined assuming that all factors other than substrate availability are non-limiting.

Determining KT is more complex because transporter functionality depends on the integrity of the membrane in which the transporter proteins function, ionic gradients generated by primary active transporters required to support the operation of the typically secondary-active nutrient-transporters, as well as on the aforementioned absence or presence of short and longer term feedback processes modulating transport itself into the functional cell.

Another defining criterion for enzyme functionality is the maximum level of activity, kcat, which is described in units of mole of substrate consumed or product given per mole of enzyme per unit of time Table 1. The maximum rate of enzyme activity in a given sample of biological material, which is a product of kcat and the concentration of enzyme protein, sets the value of the maximum process rate, Vmax, in Michaelis-Menten kinetics.

It is important to note that the amount of enzyme in an assay does not affect the value of KM, while the value of Vmax in the assay is linearly related to enzyme concentration.

How does surface area to volume ratio affect the rate of diffusion? | Socratic

The value of Vmax can thus be seen as being somewhat ambiguous, only being useful for a specific assay incubation. For considerations of whole-organism physiology, the value of kcat needs to be placed in the context of the total demand for its activity, the size mass of the enzyme and thence for the total resource expenditure for that enzyme within a given cell e.

The maximum rate of activity in a given cellular system Tmax is analogous to Vmax in an enzyme assay. Accordingly, while the value of KT is independent of the number of transporter proteins in the cell, the value of Tmax is indeed dependent on that number. The extent to which Tmax exceeds Gmax, noting that transporter activity is modulated by post-transport physiology, helps to explain why KG is lower than KT, as illustrated in S1 Fig and the adjoining online text.

In reality there are many hundreds if not thousands of transporter proteins in operation across the plasma-membrane of an individual cell. In a simple way, you can consider long it takes for a molecule like oxygen to travel to the center of the cell as a way to characterize differences in diffusion distance. The model below allows you to explore how variation in cell size and shape influence the ability of a mitochondria to get oxygen delivered to it.

relationship between rate of diffusion and cell size

The graph below simulates the activity of a mitochondrion in the middle of a cell. Diffusion from the cell membrane to the mitochondrion controls its metabolic rate. The organelle uses oxygen at a rate that increases with concentration.

Surface Area, Volume, and Life

This simulates a case where the mitochondrion's activity is limited by oxygen, a situation often encountered during periods of high metabolism. Therefore, diffusion supplies oxygen and the mitochondrion takes it away.

relationship between rate of diffusion and cell size

At the start, there is no oxygen in the center of the cell. Diffusion from the cell membrane transports oxygen to the cell, which increases the activity of the mitochondrion.

Investigating the relationship between cell size and rate of diffusion

This results in an increase in mitochondrial activity y-axis and causes the initial positive slope. With time x-axisthe use of oxygen by the mitochondrion balances the transport of oxygen by diffusion and the rate of activity reaches an equilibrium.

Each line presents a different cell shape: Each has the same volume.