scholarly journals Population genomics reveals complex patterns of immune gene evolution in monarch butterflies (Danaus plexippus)

2019 ◽  
Author(s):  
Wen-Hao Tan ◽  
Andrew J. Mongue ◽  
Jacobus C. de Roode ◽  
Nicole M. Gerardo ◽  
James R. Walters
Keyword(s):  
Genetic Variation ◽  
Population Genomics ◽  
Gene Evolution ◽  
Danaus Plexippus ◽  
Population Expansion ◽  
Immune Gene ◽  
Monarch Butterflies ◽  
Evolutionary Patterns ◽  
Selection Pressures ◽  
Immune Genes

ABSTRACTImmune genes presumably rapidly evolve as pathogens exert strong selection pressures on host defense, but the evolution of immune genes is also constrained by trade-offs with other biological functions and shaped by the environmental context. Thus, immune genes may exhibit complex evolutionary patterns, particularly when organisms disperse to or live in variable environments. We examined the evolutionary patterns of the full set of known canonical immune genes within and among populations of monarch butterflies (Danaus plexippus), and relative to a closely related species (D. gilippus). Monarchs represent a system with a known evolutionary history, in which North American monarchs dispersed to form novel populations across the world, providing an opportunity to explore the evolution of immunity in the light of population expansion into novel environments. By analyzing a whole-genome resequencing dataset across populations, we found that immune genes as a whole do not exhibit consistent patterns of selection, differentiation, or genetic variation, but that patterns are specific to functional classes. Species comparisons between D. plexippus and D. gilippus and analyses of monarch populations both revealed consistently low levels of genetic variation in signaling genes, suggesting conservation of these genes over evolutionary time. Modulation genes showed the opposite pattern, with signatures of relaxed selection across populations. In contrast, recognition and effector genes exhibited less consistent patterns. When focusing on genes with exceptionally strong signatures of selection or differentiation, we also found population-specific patterns, consistent with the hypothesis that monarch populations do not face uniform selection pressures with respect to immune function.

Population genomics reveals variable patterns of immune gene evolution in monarch butterflies ( Danaus plexippus )

2021 ◽  
Author(s):  
Wen‐Hao Tan ◽  
Venkat Talla ◽  
Andrew J. Mongue ◽  
Jacobus C. de Roode ◽  
Nicole M. Gerardo ◽  
...  
Keyword(s):  
Population Genomics ◽  
Gene Evolution ◽  
Danaus Plexippus ◽  
Immune Gene ◽  
Monarch Butterflies

scholarly journals The effects of artificial selection on genetic variation of some immune genes in <i>Gallus gallus</i>

2013 ◽  
Vol 56 (1) ◽  
pp. 691-699
Author(s):  
T. Zhang ◽  
N. Zhao ◽  
Q. Liu
Keyword(s):  
Genetic Diversity ◽  
Artificial Selection ◽  
Nucleotide Diversity ◽  
Gene Evolution ◽  
Gallus Gallus ◽  
Immune Gene ◽  
Selection Efficiency ◽  
Data Set ◽  
Immune Genes ◽  
Minimum Number

Abstract. To research effects of the artificial selection of Gallus gallus on G. domesticus' nucleotide diversity of immune genes, sequence polymorphisms of G. domesticus (23 genes), G. gallus (23 genes), G. lafayetti (17 genes), and G. sonneratii (17 genes) were obtained from GenBank. The data set included 819 polymorphisms. Immune gene polymorphism and selection efficiency in the data from those four species of Gallus were calculated. By calculating the qw (Watterson's estimator) of each site, an average qw for each species and the minimum number of re-combinations in each species and by estimating the selection efficiency for G. domesticus and G. gallus, neither significant nucleotide diversity nor genetic-diversity-qw- difference was found between G. domesticus and G. gallus. The results indicated that the patterns of genetic diversity in G. domesticus were strongly influenced by recombination and, because Tajima's D has a negative value, recombination was the main mechanism responsible for the immune gene evolution of G. gallus.

scholarly journals Transcriptomics of monarch butterflies ( Danaus plexippus ) reveals that toxic host plants alter expression of detoxification genes and down‐regulate a small number of immune genes

2019 ◽  
Vol 28 (22) ◽  
pp. 4845-4863 ◽  
Author(s):  
Wen‐Hao Tan ◽  
Tarik Acevedo ◽  
Erica V. Harris ◽  
Tiffanie Y. Alcaide ◽  
James R. Walters ◽  
...  
Keyword(s):  
Host Plants ◽  
Danaus Plexippus ◽  
Monarch Butterflies ◽  
Immune Genes

scholarly journals Borrelia burgdorferi sensu lato infection pressure shapes innate immune gene evolution in natural rodent populations across Europe

2015 ◽  
Vol 11 (5) ◽  
pp. 20150263 ◽  
Author(s):  
Barbara Tschirren
Keyword(s):  
Borrelia Burgdorferi ◽  
Gene Evolution ◽  
Innate Immune ◽  
Myodes Glareolus ◽  
Borrelia Burgdorferi Sensu Lato ◽  
Immune Gene ◽  
European Continent ◽  
Immune Genes ◽  
Infection Pressure ◽  
Frequency Changes

Although parasite-mediated selection is assumed to be the main driver of immune gene evolution, empirical evidence that parasites induce allele frequency changes at host immune genes in time and/or space remains scarce. Here, I show that the frequency of a protective gene variant of the innate immune receptor Toll-like receptor 2 in natural bank vole ( Myodes glareolus ) populations is positively associated with the strength of Borrelia burgdorferi sensu lato infection risk across the European continent. Thereby, this study provides rare evidence for the role of spatially variable infection pressures in moulding the vertebrate immune system.

scholarly journals Immunity vs Sociality: Adaptive evolution tests suggest social lifestyle exerts greater selection pressures than host-pathogen coevolution in the bees

2021 ◽  
Author(s):  
Lauren Mee ◽  
Seth M Barribeau
Keyword(s):  
Immune System ◽  
Adaptive Evolution ◽  
Disease Transmission ◽  
Gene Evolution ◽  
Rapid Evolution ◽  
Immune Gene ◽  
Immune Genes ◽  
Social Species ◽  
Host Pathogen ◽  
Solitary Species

AbstractHosts and their parasites and pathogens are locked in antagonistic co-evolution. The genetic consequence of this can be seen in the rates of adaptive evolution in immunologically important loci in many taxa. As the risk of disease transmission increases we might also expect to see greater rates of adaptive evolution on genes of immune function. The evolution of sociality and its elaborations in insects represent enormous shift in disease transmission risk. Here, we examine whether sociality in the bees corresponds to changes in the rate of adaptive evolution in both classical canonical immune genes, and genes with putative immune functions identified from meta-analyses of honey-bee transcriptomic responses to infection. We find that measures of gene-wide adaptive evolution do not differ among canonical immune, non-canonical candidate immune, and background gene sets, but that branch-site adaptive evolution does increase with sociality regardless of gene category. Solitary species have greater rates of adaptive evolution in canonical immune genes than background genes, supporting the suggestion that social immune mechanisms may instead be the site of host-pathogen co-evolution in social species. We identify three genes with putative roles in immunity that warrant further attention (Vitel-logenin Vg, disks large 1 tumour suppressor, and the uncharacterised protein LOC100577972). There are more gene family changes after the origin of sociality across all gene classes, with contractions occur-ring after the elaboration of sociality to complex eusociality. There are few genes or functions under adaptive selection that appear to be shared outside of specific lineages, suggesting that evolution of the immune system may be specific to individual species and their pathogen interactions.SignificanceInfectious disease drives rapid evolution of immune genes, but infection risk should be much higher in social species. To examine whether greater sociality drives faster immune system evolution we compared the rate of immune gene evolution in solitary, social, and highly eusocial bees. To account for possible novel immune genes in bees, we analysed classical immune genes alongside candidate immune genes inferred from other studies. Surprisingly, we find that solitary bees have the highest rate of immune gene evolution relative to background genes but that sociality is associated with rapid evolution across the whole genome. These findings suggest that 1) accelerated immune gene evolution is not universal, 2) immune gene evolution is moderated by sociality in that solitary species invest more into immune gene change, and 3) that social genomes are highly dynamic, which may obscure evolution at immunological loci. The types of immune genes and functions appear mostly lineage-specific, regardless of sociality, suggesting individual evolutionary his-tories exert more selection pressure than general patterns of greater pathogen exposure introduced by social living.

Population Genetics ofCaenorhabditis elegans: The Paradox of Low Polymorphism in a Widespread Species

Genetics ◽  
2003 ◽  
Vol 163 (1) ◽  
pp. 147-157 ◽  
Author(s):  
Arjun Sivasundar ◽  
Jody Hey
Keyword(s):  
Genetic Variation ◽  
Microsatellite Loci ◽  
Population Expansion ◽  
Widespread Species ◽  
C Elegans ◽  
Model Research ◽  
The World ◽  
Natural Isolates ◽  
History Of ◽  
Low Levels

AbstractCaenorhabditis elegans has become one of the most widely used model research organisms, yet we have little information on evolutionary processes and recent evolutionary history of this widespread species. We examined patterns of variation at 20 microsatellite loci in a sample of 23 natural isolates of C. elegans from various parts of the world. One-half of the loci were monomorphic among all strains, and overall genetic variation at microsatellite loci was low, relative to most other species. Some population structure was detected, but there was no association between the genetic and geographic distances among different natural isolates. Thus, despite the nearly worldwide occurrence of C. elegans, little evidence was found for local adaptation in strains derived from different parts of the world. The low levels of genetic variation within and among populations suggest that recent colonization and population expansion might have occurred. However, the patterns of variation are not consistent with population expansion. A possible explanation for the observed patterns is the action of background selection to reduce polymorphism, coupled with ongoing gene flow among populations worldwide.

scholarly journals Identification and development of an independent immune-related genes prognostic model for breast cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lin Chen ◽  
Yuxiang Dong ◽  
Yitong Pan ◽  
Yuhan Zhang ◽  
Ping Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Gene Set Enrichment Analysis ◽  
Risk Scores ◽  
Validation Dataset ◽  
Immune Gene ◽  
Cox Regression Analysis ◽  
Immune Genes ◽  
Immune Related Genes

Abstract Background Breast cancer is one of the main malignant tumors that threaten the lives of women, which has received more and more clinical attention worldwide. There are increasing evidences showing that the immune micro-environment of breast cancer (BC) seriously affects the clinical outcome. This study aims to explore the role of tumor immune genes in the prognosis of BC patients and construct an immune-related genes prognostic index. Methods The list of 2498 immune genes was obtained from ImmPort database. In addition, gene expression data and clinical characteristics data of BC patients were also obtained from the TCGA database. The prognostic correlation of the differential genes was analyzed through Survival package. Cox regression analysis was performed to analyze the prognostic effect of immune genes. According to the regression coefficients of prognostic immune genes in regression analysis, an immune risk scores model was established. Gene set enrichment analysis (GSEA) was performed to probe the biological correlation of immune gene scores. P < 0.05 was considered to be statistically significant. Results In total, 556 immune genes were differentially expressed between normal tissues and BC tissues (p < 0. 05). According to the univariate cox regression analysis, a total of 66 immune genes were statistically significant for survival risk, of which 30 were associated with overall survival (P < 0.05). Finally, a 15 immune genes risk scores model was established. All patients were divided into high- and low-groups. KM survival analysis revealed that high immune risk scores represented worse survival (p < 0.001). ROC curve indicated that the immune genes risk scores model had a good reliability in predicting prognosis (5-year OS, AUC = 0.752). The established risk model showed splendid AUC value in the validation dataset (3-year over survival (OS) AUC = 0.685, 5-year OS AUC = 0.717, P = 0.00048). Moreover, the immune risk signature was proved to be an independent prognostic factor for BC patients. Finally, it was found that 15 immune genes and risk scores had significant clinical correlations, and were involved in a variety of carcinogenic pathways. Conclusion In conclusion, our study provides a new perspective for the expression of immune genes in BC. The constructed model has potential value for the prognostic prediction of BC patients and may provide some references for the clinical precision immunotherapy of patients.

scholarly journals Phylogeography of Prunus armeniaca L. revealed by chloroplast DNA and nuclear ribosomal sequences

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wen-Wen Li ◽  
Li-Qiang Liu ◽  
Qiu-Ping Zhang ◽  
Wei-Quan Zhou ◽  
Guo-Quan Fan ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variation ◽  
Chloroplast Dna ◽  
Population Expansion ◽  
Prunus Armeniaca ◽  
River Valley ◽  
Nuclear Ribosomal Dna ◽  
Glacial Refugium ◽  
Ili River Valley ◽  
Wild Apricot

AbstractTo clarify the phytogeography of Prunus armeniaca L., two chloroplast DNA fragments (trnL-trnF and ycf1) and the nuclear ribosomal DNA internal transcribed spacer (ITS) were employed to assess genetic variation across 12 P. armeniaca populations. The results of cpDNA and ITS sequence data analysis showed a high the level of genetic diversity (cpDNA: HT = 0.499; ITS: HT = 0.876) and a low level of genetic differentiation (cpDNA: FST = 0.1628; ITS: FST = 0.0297) in P. armeniaca. Analysis of molecular variance (AMOVA) revealed that most of the genetic variation in P. armeniaca occurred among individuals within populations. The value of interpopulation differentiation (NST) was significantly higher than the number of substitution types (GST), indicating genealogical structure in P. armeniaca. P. armeniaca shared genotypes with related species and may be associated with them through continuous and extensive gene flow. The haplotypes/genotypes of cultivated apricot populations in Xinjiang, North China, and foreign apricot populations were mixed with large numbers of haplotypes/genotypes of wild apricot populations from the Ili River Valley. The wild apricot populations in the Ili River Valley contained the ancestral haplotypes/genotypes with the highest genetic diversity and were located in an area considered a potential glacial refugium for P. armeniaca. Since population expansion occurred 16.53 kyr ago, the area has provided a suitable climate for the population and protected the genetic diversity of P. armeniaca.

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