The Causes of Genetic Variation in Susceptibility to Infectious Disease in Natural Populations

Lead Research Organisation: University of Cambridge
Department Name: Genetics

Abstract

The aim of this project is to understand why some individuals in populations are more susceptible to infectious disease than others. This variation not only determines the impact of disease on human health, crop yields and farm animals, but it is also the raw material on which natural selection acts when populations evolve resistance to infection. Despite its importance, we have a poor understanding of the genes that underlie this variation and the evolutionary reasons why it is maintained in populations are poorly understood.

The first question we will ask is simply whether natural selection is increasing genetic variation in susceptibility to infection. To do this we will test whether host populations that naturally encounter a pathogen show more genetic variation in susceptibility to that pathogen. To do this we will infect six species of fruit flies with six different viruses, and see whether there is more variation when a virus infects its natural host.

The second question we will ask is whether natural selection means that susceptibility to infection has a simple genetic basis, with just a few genes having large effects on the chances of an individual being infected. Using some of the same fly species and viruses, we will sequence the genomes of resistant and susceptible flies, and use this information to identify genes causing resistance. We will then be able to see whether there is a simple genetic basis to resistance only when a virus infects its natural host but not when it infects a different species. We can then go on to use statistical methods to understand how natural selection has acted on these genes.

The final question we will ask is whether hosts become resistant by improving their defences, or preventing parasites from hijacking the host's own molecular machinery for the parasite's benefit. We will answer this by genetically manipulating flies to see if the susceptible form is required for by the virus (the 'hijacking' hypothesis) or the resistant form is harming the virus (the 'improving defences' hypothesis).

Planned Impact

The primary aim of this grant is to contribute to our fundamental understanding of disease biology. The main impact of our work will therefore be in informing the work of other researchers (such as those doing disease association studies or running breeding programs), which will in turn have impact on health, the economy or environment. This section is to describe the impact outside the 'investigators immediate professional circle', and we therefore include researchers in different fields, especially those doing applied research with direct consequences for health, the environment or the economy.

Public understanding of science

The determinants of disease susceptibility is an easily accessible topic to the public - people care what determines why they might get ill, or why a mosquito might transmit a disease. This makes it an excellent tool with which to engage the public about evolutionary concepts, and make the case that evolution can affect their lives rather than being an arcane academic discipline. We will exploit this using the approaches described in the 'pathways to impact'.

Variation in disease susceptibility

The majority of research in disease susceptibility is either directly medical research or selective breeding of animal and plants. This work is carried out by both the commercial and public sectors. It is by influencing this work that our research is most likely to have substantive impacts outside of evolutionary biology.

These sectors can benefit both by understanding the fundamental biology of the traits they work on. For example, strategies like marker-assisted selection may be far more successful in selecting for resistance to a naturally occurring pathogen (simple genetics) than a newly introduced pathogen (genes of small effect). Similarly, genetic testing of patients might be more effective for infectious disease than non-communicable disease (again due to simple versus complex genetic basis).

These sectors can also benefit by using the techniques and approaches that we have developed. For example, we will provide rapid and cost-effective ways to identify resistance genes that could be used in selective breeding. Currently selective genotyping of extreme phenotypes followed by pooled sequencing is not widely used in commercial and applied research, so illustrating the power of these approaches and promoting their use will benefit these applications.

Control of vector-borne disease

Mosquito-borne viral diseases are a major cause of mortality and morbidity in the developing world, and a major determinant of their prevalence is the rate at which mosquitoes can transmit disease. Current control approaches based on insecticide spraying and insecticide treated bed nets can fail due to the evolution of insecticide resistance, which has led to increasing interest in 'genetic' control methods. Releases of transgenic mosquitoes have already occurred, illustrating the utility of these approaches.

This work will lead to a greater understanding of why insects vary in viral susceptibility, which will inform efforts to control these diseases and monitor populations of mosquitoes for their vector competence.

One long-term possibility is to use the genetic variants that we discover as the basis of approaches to control vector-borne disease. Gene drive systems could be used to drive resistance genes through populations, preventing mosquitoes from vectoring disease. The identification of genes which naturally prevent viral infection will be promising candidates for this strategy.

Publications

10 25 50
 
Description It is common to find considerable genetic variation in susceptibility to infection in natural populations, and over the last decade considerable effort has been devoted to cataloguing the genes involved. Yet the existence of this variation is something of an evolutionary conundrum-as pathogens harm their hosts we might naively expect natural selection to drive resistant host alleles to fixation. However, a large body of evolutionary theory suggests that selection mediated by pathogens may be different and could actively maintain genetic variants in populations. Despite this idea being proposed by Haldane in his classic 1949 essay, it remains unclear whether natural selection leads to a net increase or decrease in the genetic variance of populations.

We have used a novel approach to answer this question, comparing naturally coevolving host-virus combinations with combinations that do not coevolve. In a large cross-infection experiment involving four species of Drosophila and their host-specific viruses, we found that coevolution has led to considerably greater amounts of genetic variation in susceptibility.

We went on to examine the genetic architecture of resistance, finding that there are more major-effect genetic variants in coevolved host-parasite interactions. This not only provides robust experimental support to the claim from human GWAS studies that susceptibility to infection has a simpler genetic basis than other quantitative traits (Hill, 2012, Phil Trans R Soc 367: 840-849), but also suggests that these simple genetics arise as a consequence of natural selection.

These results are significant for geneticists interested in infectious disease, as they suggest the genetics of susceptibility to infection is qualitatively different from other quantitative traits. For evolutionary biologists they provide support for the common assumption that natural selection maintains genetic variation in disease susceptibility. Furthermore, there is a large body of theory based on the assumption that coevolution involves major-effect polymorphisms, and our results suggest that this remains reasonable despite association studies showing that other quantitative traits have a very complex genetic basis.
Exploitation Route Our research provides fundamental insights into the genetics and evolution of susceptibility to infectious disease. This will inform many other fields of research interested In infectious disease. In the academic area there are many researchers trying to identify the genetic basis of susceptibility to infection in humans and economically or ecologically important species. Our research will inform the design and interpretation of such studies. In particular, our result support the idea that susceptibility to infection is fundamentally different to other forms of genetic variation in its nature and maintenance. This has important implications for areas including selective breeding and medicine. Similarly evolutionary biologists frequently make strong assumptions about the genetics of resistance, most notably frequently assuming the existence of major-effect polymorphisms. Our results support these frequently untested assumptions. More broadly, our wider engagement in this area is helping the public appreciate the huge role that genetics plays in the outcome of infection.
Sectors Agriculture, Food and Drink,Environment,Healthcare

 
Description We have trained three undergraduate interns for 4, 6 and 10 months respectively. This has provided them with hands on experience of cutting-edge genetics and evolutionary biology.
Sector Education
Impact Types Societal

 
Title Drosophila C virus genomes, Cambridge (2017) 
Description The resource consists of genome sequence data for the Drosophila C virus that has been serially passaged through different species of Drosophila in the laboratory. The genomes were sequenced and aligned to the reference genome. The frequency of variants at both biallelic and triallelic sites was then calculated. We also generated a phylogeny of the species involved using published data. This data was generated to understand how viruses adapt to new host species by Francis Jiggins and his co workers. The work was carried out between July 2016 and September 2017 and was funded by NERC under award reference NE/L004232/1 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
 
Description Pathogen Evolution Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Approximately 50 people attended a workshop in Cambridge to discuss research related to this grant. The event was organised by Ben Longdon (co-investigator). It disseminated the results of our research and influenced others in the field.
Year(s) Of Engagement Activity 2016
 
Description Press Coverage 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Coverage in Microbiology Society blog
Year(s) Of Engagement Activity 2016
URL https://microbiologysociety.org/blog/can-we-model-how-viruses-move-between-species.html
 
Description Science Daily Newsletter 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Press coverage in 'Science Daily'
Year(s) Of Engagement Activity 2015
URL https://www.sciencedaily.com/releases/2015/03/150317093239.htm?utm_source=feedburner&utm_medium=feed...