﻿ Multiplicity of infection
Tue . 19 Jun 2019

# Multiplicity of infection

multiplicity of infection, multiplicity of infection calculation
In microbiology, the multiplicity of infection or MOI is the ratio of agents eg phage or more generally virus, bacteria to infection targets eg cell For example, when referring to a group of cells inoculated with virus particles, the multiplicity of infection or MOI is the ratio of the number of virus particles to the number of target cells present in a defined space

## Contents

• 1 Interpretation
• 11 Examples
• 3 References

## Interpretation

The actual number of viruses or bacteria that will enter any given cell is a statistical process: some cells may absorb more than one infectious agent while others may not absorb any The probability that a cell will absorb n virus particles or bacteria when inoculated with an MOI of m can be calculated for a given population using a Poisson distribution This application of Poisson's distribution was applied and described by Ellis and Delbrück

P n = m n ⋅ e − m n ! \cdot e^}}}

where m is the multiplicity of infection or MOI, n is the number of infectious agents that enter the infection target, and P n is the probability that an infection target a cell will get infected by n infectious agents

In fact the infectivity of the virus or bacteria in question will alter this relationship One way around this is to use a functional definition of infectious particles rather than a strict count, such as a plaque forming unit for viruses

For example, when an MOI of 1 1 viral particle per cell is used to infect a population of cells, the probability that a cell will not get infected is P 0 = 3679 % , and the probability that it be infected by a single particle is P 1 = 3679 % , by two particles is P 2 = 1839 % , by three particles is P 3 = 613 % , and so on

The average percentage of cells that will become infected as a result of inoculation with a given MOI can be obtained by realizing that it is simply P n > 0 = 1 − P 0 Hence, the average fraction of cells that will become infected following an inoculation with an MOI of m is given by:

P n > 0 = 1 − P n = 0 = 1 − m 0 ⋅ e − m 0 ! = 1 − e − m \cdot e^}}=1-e^}

which is approximately equal to m for small values of m ≪ 1

### Examples

Percentage of cells infected based on MOI

As the MOI increases, the percentages of cells infected with at least one viral particle also increases

MOI  % Infected
10 632%
20 865%
30 950%
40 982%
50 993%
60 998%
70 999%
80 ~1000%

• LD50
• Infectious disease

## References

1. ^ Ellis, Emory; Delbruck, Max Jan 20, 1939 "The Growth of Bacteriophage" The Journal of General Physiology 22 3: 365–384 doi:101085/jgp223365 PMC 2141994  PMID 19873108
2. ^ Fields BN, Knipe DM, Howley PM 2007 Fields virology: Part 1 Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins ISBN 9780781760607

multiplicity of infection, multiplicity of infection (moi), multiplicity of infection calculation, multiplicity of infection determination, multiplicity of infection distribution, multiplicity of infection equation, multiplicity of infection fields virology, multiplicity of infection o.35, multiplicity of infection protocol, multiplicity of infection viruses

## Multiplicity of infection Information about

• Multiplicity of infection beatiful post thanks!

29.10.2014

Multiplicity of infection
Multiplicity of infection
Multiplicity of infection viewing the topic.

## Random Posts

### Modern philosophy

Modern philosophy is a branch of philosophy that originated in Western Europe in the 17th century, a...