By George Busby
This blog was originally posted on the MalariaGen blog
All of us, in our DNA, carry a rich record of our past – a fact that can be exploited to study human health and disease.
To better understand malaria, we compared the complete DNA sequence of thousands of people with severe malaria to thousands of healthy individuals to hunt down differences in particular genes between these two groups. These genome-wide association studies have identified several genes that appear to play a role in how susceptible people are to falling ill with malaria (Nature, 2016; Nature Genetics, 2015).
However, determining the significance of these genes in the progression of the disease is quite difficult for several reasons – many related to demographic patterns and the impact that the movement of people, parasites and mosquitoes has on the evolutionary tug of war that is malaria.
Having sampled a large number of people from across sub-Saharan Africa, our malaria susceptibility studies provide a unique opportunity to explore what DNA can tell us about the recent historical relationships between populations in sub-Saharan Africa (eLife, 2016).
A subset of 1,266 samples collected through MalariaGEN Consortial Project 1, and genotyped at the Wellcome Trust Sanger Institute, were combined with other publicly available data resources. The resulting data set included 328,176 high-quality single nucleotide polymorphisms (SNPs) – positions in the DNA sequence that tend to vary – for 4,216 individuals representing 48 different African populations and 12 non-African populations.
We then set about using this genetic data to reconstruct the recent past. When two populations with different ancestries come together and have children, their offspring will have DNA from both of these ancestries. This process is called admixture. Using sophisticated analytical techniques, we uncovered these admixture events in all 48 different African populations.
While several studies have documented admixture in other populations around the world, this study is the first to provide such detail in Africa – confirming that human history has been defined by admixture and that we are all, to a greater or lesser degree, related to each other.
Next, we attempted to characterise these relationships in detail: Who were the historical groups that came together and when did these events happen? We all originally came from Africa, with the main exodus producing all non-Africans happening some 50,000-70,000 years ago. Some of the clearest signals that we saw in our analysis involved the recent movement of people (and their genes) back into Africa.
For example, across West African populations from The Gambia and Mali, we saw evidence of a shared demographic event involving admixture from European groups. We were able to characterise these events because the DNA of West Africans contains chunks of ancestry from Europe together with chunks of DNA with African ancestry. The size and distribution of these chunks tells us that the admixture event likely happened around 1,000-2,000 years ago. Interestingly, the first recorded West African state, known as the Ghana Empire, grew by trading African gold with Mediterranean salt, cloth and beads in this region from c.300CE (Common Era).
The genetic traces of these human movements – and others (see further examples below) – reveal a rich record of our ancestral history in our genomes. Intriguingly, this work demonstrates that the same DNA can be used both to find out how humans have been evolving to fight malaria, and how we came to be where we are today.
This demographic foundation also helps us to understand how genes have spread around Africa, which, in turn, will influence how we try to find the genetic differences that provide some resistance to malaria and other infectious diseases.
Mapping admixture events:
Arrows link populations that where we detected gene-flow, with the arrows pointing towards recipient populations. The thickness of the arrow is proportional to the amount of gene-flow; black points represent all sampled populations in the analysis. On the left, we show inferred gene-flow events between Bantu speaking groups from Cameroon (red), Tanzania (orange), Malawi (brown), and South Africa (green). On the right, we show inferred gene-flow from Eurasian populations.
The numbers on the maps refer to the following six specific events:
- Gene-flow from Cameroon to southern and eastern populations roughly 2,000 years ago.
- Subsequent gene-flow amongst eastern populations is mostly restricted to movement up and down the east coast of Africa, and into south-western Africa via South Africa.
- In groups from The Gambia and Mali, we see limited gene-flow from both southern European (Spanish) and northern (British) sources into this region between 2,500 and 1,500 years ago. We interpret this to be a result of trans-Saharan trade networks which began as the Ghana Empire grew from c300CE.
- Across Ethiopian populations we found evidence of gene-flow from southern European (Italian and Spanish) populations around 2,000 years ago. As we do not have any populations from the Middle East, we interpret this to be related to gene-flow from north-eastern Africa.
- We found clear evidence of gene-flow around 1,200CE involving Asian sources into groups currently residing on the coast of Kenya. Again, we interpret this admixture to be the result of trade, this time along the so-called Swahili Coast with groups from the Middle East and Asia, which started at around this time. So perhaps the cultural influence of East Asia on these peoples, which can be seen in the similarity of language and pottery, amongst other things, also left a trace in their genes.
- In a couple of populations in South Africa we found evidence of very recent admixture from northern (British) and central European populations. We believe that this represents gene-flow during the Colonial era, when both British and Dutch colonists moved to the region.
George Busby is a Post-doctoral Research Associate at the Wellcome Trust Centre for Human Genetics, University of Oxford, where collaborates with MalariaGEN on the analysis of human genetic data. He has a particular interest in the effects of demography and natural selection on the human genome, and is developing new models to identify regions of the genome that evolved in response to infectious disease. He is also using genetic data to uncover novel inferences about our evolutionary past, and has helped develop models that characterise recent human admixture history.
This blog was originally posted on the MalariaGen blog
George Busby et al. (2016) Admixture into and within sub-Saharan Africa. eLife