Cargando…

Genetic management strategies for controlling infectious diseases in livestock populations

This paper considers the use of disease resistance genes to control the transmission of infection through an animal population. Transmission is summarised by R(0), the basic reproductive ratio of a pathogen. If R(0 )> 1.0 a major epidemic can occur, thus a disease control strategy should aim to r...

Descripción completa

Detalles Bibliográficos
Autores principales: Bishop, Stephen C, MacKenzie, Katrin M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231762/
https://www.ncbi.nlm.nih.gov/pubmed/12927077
http://dx.doi.org/10.1186/1297-9686-35-S1-S3
_version_ 1782218281558474752
author Bishop, Stephen C
MacKenzie, Katrin M
author_facet Bishop, Stephen C
MacKenzie, Katrin M
author_sort Bishop, Stephen C
collection PubMed
description This paper considers the use of disease resistance genes to control the transmission of infection through an animal population. Transmission is summarised by R(0), the basic reproductive ratio of a pathogen. If R(0 )> 1.0 a major epidemic can occur, thus a disease control strategy should aim to reduce R(0 )below 1.0, e.g. by mixing resistant with susceptible wild-type animals. Suppose there is a resistance allele, such that transmission of infection through a population homozygous for this allele will be R(02 )< R(01), where R(01 )describes transmission in the wildtype population. For an otherwise homogeneous population comprising animals of these two groups, R(0 )is the weighted average of the two sub-populations: R(0 )= R(01ρ )+ R(02 )(1 - ρ), where ρ is the proportion of wildtype animals. If R(01 )> 1 and R(02 )< 1, the proportions of the two genotypes should be such that R(0 )≤ 1, i.e. ρ ≤ (R(0 )- R(02))/(R(01 )- R(02)). If R(02 )= 0, the proportion of resistant animals must be at least 1 - 1/R(01). For an n genotype model the requirement is still to have R(0 )≤ 1.0. Probabilities of epidemics in genetically mixed populations conditional upon the presence of a single infected animal were derived. The probability of no epidemic is always 1/(R(0 )+ 1). When R(0 )≤ 1 the probability of a minor epidemic, which dies out without intervention, is R(0)/(R(0 )+ 1). When R(0 )> 1 the probability of a minor and major epidemics are 1/(R(0 )+ 1) and (R(0 )- 1)/(R(0 )+ 1). Wherever possible a combination of genotypes should be used to minimise the invasion possibilities of pathogens that have mutated to overcome the effects of specific resistance alleles.
format Online
Article
Text
id pubmed-3231762
institution National Center for Biotechnology Information
language English
publishDate 2003
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-32317622011-12-07 Genetic management strategies for controlling infectious diseases in livestock populations Bishop, Stephen C MacKenzie, Katrin M Genet Sel Evol Methodology This paper considers the use of disease resistance genes to control the transmission of infection through an animal population. Transmission is summarised by R(0), the basic reproductive ratio of a pathogen. If R(0 )> 1.0 a major epidemic can occur, thus a disease control strategy should aim to reduce R(0 )below 1.0, e.g. by mixing resistant with susceptible wild-type animals. Suppose there is a resistance allele, such that transmission of infection through a population homozygous for this allele will be R(02 )< R(01), where R(01 )describes transmission in the wildtype population. For an otherwise homogeneous population comprising animals of these two groups, R(0 )is the weighted average of the two sub-populations: R(0 )= R(01ρ )+ R(02 )(1 - ρ), where ρ is the proportion of wildtype animals. If R(01 )> 1 and R(02 )< 1, the proportions of the two genotypes should be such that R(0 )≤ 1, i.e. ρ ≤ (R(0 )- R(02))/(R(01 )- R(02)). If R(02 )= 0, the proportion of resistant animals must be at least 1 - 1/R(01). For an n genotype model the requirement is still to have R(0 )≤ 1.0. Probabilities of epidemics in genetically mixed populations conditional upon the presence of a single infected animal were derived. The probability of no epidemic is always 1/(R(0 )+ 1). When R(0 )≤ 1 the probability of a minor epidemic, which dies out without intervention, is R(0)/(R(0 )+ 1). When R(0 )> 1 the probability of a minor and major epidemics are 1/(R(0 )+ 1) and (R(0 )- 1)/(R(0 )+ 1). Wherever possible a combination of genotypes should be used to minimise the invasion possibilities of pathogens that have mutated to overcome the effects of specific resistance alleles. BioMed Central 2003-06-15 /pmc/articles/PMC3231762/ /pubmed/12927077 http://dx.doi.org/10.1186/1297-9686-35-S1-S3 Text en Copyright ©2003 INRA, EDP Sciences
spellingShingle Methodology
Bishop, Stephen C
MacKenzie, Katrin M
Genetic management strategies for controlling infectious diseases in livestock populations
title Genetic management strategies for controlling infectious diseases in livestock populations
title_full Genetic management strategies for controlling infectious diseases in livestock populations
title_fullStr Genetic management strategies for controlling infectious diseases in livestock populations
title_full_unstemmed Genetic management strategies for controlling infectious diseases in livestock populations
title_short Genetic management strategies for controlling infectious diseases in livestock populations
title_sort genetic management strategies for controlling infectious diseases in livestock populations
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231762/
https://www.ncbi.nlm.nih.gov/pubmed/12927077
http://dx.doi.org/10.1186/1297-9686-35-S1-S3
work_keys_str_mv AT bishopstephenc geneticmanagementstrategiesforcontrollinginfectiousdiseasesinlivestockpopulations
AT mackenziekatrinm geneticmanagementstrategiesforcontrollinginfectiousdiseasesinlivestockpopulations