10.5061/DRYAD.26K11
Ejsmond, Maciej Jan
Jagiellonian University
Radwan, Jacek
Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz
University, Umultowska 89, 61-614 Poznan, Poland
Wilson, Anthony B.
University of Zurich
Data from: Sexual selection and the evolution of the Major
Histocompatibility Complex
Dryad
dataset
2014
pathogen-mediated selection
disassortative mating
adaptive immunity
2014-09-25T16:57:17Z
2014-09-25T16:57:17Z
en
https://doi.org/10.1098/rspb.2014.1662
780849864 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The genes of the major histocompatibility complex (MHC) are a key
component of the adaptive immune system and among the most variable loci
in the vertebrate genome. Pathogen-mediated natural selection and
MHC-based disassortative mating are both thought to structure MHC
polymorphism, but their effects have proven difficult to discriminate in
natural systems. Using the first model of MHC dynamics incorporating both
survival and reproduction, we demonstrate that natural and sexual
selection produce distinctive signatures of MHC allelic diversity with
critical implications for understanding host–pathogen dynamics. While
natural selection produces the Red Queen dynamics characteristic of
host–parasite interactions, disassortative mating stabilizes allele
frequencies, damping major fluctuations in dominant alleles and protecting
functional variants against drift. This subtle difference generates a
complex interaction between MHC allelic diversity and population size. In
small populations, the stabilizing effects of sexual selection moderate
the effects of drift, whereas pathogen-mediated selection accelerates the
loss of functionally important genetic diversity. Natural selection
enhances MHC allelic variation in larger populations, with the highest
levels of diversity generated by the combined action of pathogen-mediated
selection and disassortative mating. MHC-based sexual selection may help
to explain how functionally important genetic variation can be maintained
in populations of conservation concern.
Data files (Matlab worksapces) packed in a ZIP archive - scenarios with no
pathogensScenarios with no interaction between pathogens and hosts Data
set is packed in a ZIP archive. Names of catalogue in the archive indicate
scenario parameters: host population size N and simulated mechanism of
partner choice (RM - random mating, h0 - soft assortative mating, h1 -
hard assortative mating; see Materials and Methods for details). Each
scenario catalogue contains 100 files (Matlab workspaces) with saved
variables of each of 100 independent replications. Saved variables:
HED_scen – partner choice scenario (random mating HED_scen=NaN, soft
assortative mating h0 HED_scen=0, hard assortative mating h1 HED_scen=1) N
– host population size off_val_occ – offspring reproductive value at birth
in subsequent mating attempts h_mut_rat – host mutation rate host_n_all –
allelic richness across generations host_time – host generation number
mat_occ_distr – number of mating pairs in subsequent mating attempts
(first row indicate first mating attempt) saved every host generation
Compl_all_hist – frequency distribution of MHC alleles saved in last 1400
host generations (host generations 1600-3000). Matrix of allele frequency
distribution is saved as Matlab sparse matrix, (type full(Compl_all_hist)
to transform Compl_all_hist into trajectories of allele frequency)
in_pres_al – decimal labels of MHC alleles in allele frequency history
matrix Compl_all_histPathogens_off.zipData files (Matlab worksapces)
packed in a ZIP archive - scenarios with pathogens, mutation rate
1*10^-3Scenarios in which pathogens interact with hosts Data set is packed
in a ZIP archive. Names of catalogue in the archive indicate scenario
parameters: host population size N and simulated mechanism of partner
choice (RM - random mating, h0 - soft assortative mating, h1 - hard
assortative mating; see Materials and Methods for details). Each scenario
catalogue contains 100 files (Matlab workspaces) with saved variables of
each of 100 independent replications. Saved variables: HED_scen – partner
choice scenario (random mating HED_scen=NaN, soft assortative mating h0
HED_scen=0, hard assortative mating h1 HED_scen=1) N – host population
size off_val_occ – offspring reproductive value at birth in subsequent
mating attempts h_mut_rat – host mutation rate bits_num – number of bits
in MHC molecule match – number of matching bits necessary for antigen
presentation num_pat_spec – number of pathogen species p_mut_rat –
pathogen mutation rate pat_gen – number of pathogen generations per one
host generation pept_num – number of antigens produced by a pathogen
host_n_all – allelic richness across generations host_time – host
generation number mat_occ_distr – number of mating pairs in subsequent
mating attempts (first row indicate first mating attempt) saved every host
generation Compl_all_hist – frequency distribution of MHC alleles saved in
last 1400 host generations (host generations 1600-3000). Matrix of allele
frequency distribution is saved as Matlab sparse matrix, (type
full(Compl_all_hist) to transform Compl_all_hist into trajectories of
allele frequency) in_pres_al – decimal labels of MHC alleles in allele
frequency history matrix Compl_all_hist mean_pres_pat – mean proportion of
presented pathogens SD_pres_pat – standard deviation for the proportion of
presented pathogensPathogens_on_1x10min3.zipData files (Matlab worksapces)
packed in a ZIP archive - scenarios with pathogens, mutation rate
2*10^-3Scenarios in which pathogens interact with hosts Data set is packed
in a ZIP archive. Names of catalogue in the archive indicate scenario
parameters: host population size N and simulated mechanism of partner
choice (RM - random mating, h0 - soft assortative mating, h1 - hard
assortative mating; see Materials and Methods for details). Each scenario
catalogue contains 100 files (Matlab workspaces) with saved variables of
each of 100 independent replications. Saved variables: HED_scen – partner
choice scenario (random mating HED_scen=NaN, soft assortative mating h0
HED_scen=0, hard assortative mating h1 HED_scen=1) N – host population
size off_val_occ – offspring reproductive value at birth in subsequent
mating attempts h_mut_rat – host mutation rate bits_num – number of bits
in MHC molecule match – number of matching bits necessary for antigen
presentation num_pat_spec – number of pathogen species p_mut_rat –
pathogen mutation rate pat_gen – number of pathogen generations per one
host generation pept_num – number of antigens produced by a pathogen
host_n_all – allelic richness across generations host_time – host
generation number mat_occ_distr – number of mating pairs in subsequent
mating attempts (first row indicate first mating attempt) saved every host
generation Compl_all_hist – frequency distribution of MHC alleles saved in
last 1400 host generations (host generations 1600-3000). Matrix of allele
frequency distribution is saved as Matlab sparse matrix, (type
full(Compl_all_hist) to transform Compl_all_hist into trajectories of
allele frequency) in_pres_al – decimal labels of MHC alleles in allele
frequency history matrix Compl_all_hist mean_pres_pat – mean proportion of
presented pathogens SD_pres_pat – standard deviation for the proportion of
presented pathogensPathogens_on_2x10min3.zipData files (Matlab worksapces)
packed in a ZIP archive - scenarios with pathogens, mutation rate
5*10^-3Scenarios in which pathogens interact with hosts Data set is packed
in a ZIP archive. Names of catalogue in the archive indicate scenario
parameters: host population size N and simulated mechanism of partner
choice (RM - random mating, h0 - soft assortative mating, h1 - hard
assortative mating; see Materials and Methods for details). Each scenario
catalogue contains 100 files (Matlab workspaces) with saved variables of
each of 100 independent replications. Saved variables: HED_scen – partner
choice scenario (random mating HED_scen=NaN, soft assortative mating h0
HED_scen=0, hard assortative mating h1 HED_scen=1) N – host population
size off_val_occ – offspring reproductive value at birth in subsequent
mating attempts h_mut_rat – host mutation rate bits_num – number of bits
in MHC molecule match – number of matching bits necessary for antigen
presentation num_pat_spec – number of pathogen species p_mut_rat –
pathogen mutation rate pat_gen – number of pathogen generations per one
host generation pept_num – number of antigens produced by a pathogen
host_n_all – allelic richness across generations host_time – host
generation number mat_occ_distr – number of mating pairs in subsequent
mating attempts (first row indicate first mating attempt) saved every host
generation Compl_all_hist – frequency distribution of MHC alleles saved in
last 1400 host generations (host generations 1600-3000). Matrix of allele
frequency distribution is saved as Matlab sparse matrix, (type
full(Compl_all_hist) to transform Compl_all_hist into trajectories of
allele frequency) in_pres_al – decimal labels of MHC alleles in allele
frequency history matrix Compl_all_hist mean_pres_pat – mean proportion of
presented pathogens SD_pres_pat – standard deviation for the proportion of
presented pathogensPathogens_on_5x10min3.zip