Professor William Amos
- Professor of Evolutionary Genetics
Connect
Location
- Room S24
About
I am group leader of Mammal Evolution and Morphology.
I have a long-standing interest in the use of genetic markers to elucidate population structure and breeding behaviour, originally in marine mammals, coupled with studies on how these markers evolve. Since the 1990's I have developed the idea that heterozygous sites attract additional mutations at and around them, creating a link between evolutionary rate and population size. It was testing this hypothesis that led me to the prediction that mutation rate in humans would have dropped as a result of the large loss of variability that occurred during the out of Africa event, and thence to an alternative model to inter-breeding that could explain why non-Africans are closer to Neanderthals than Africans. Work in this area has pre-occupied me for more than a decade but challenging the idea that many humans carry Neanderthal legacies has proved near-impossible!
Below is a document summarising many of my ideas, analyses and reasons why these legacies appear to be near-zero. To make this as self-contained and easy to share as possible, I start with a very brief bio.
A while back I was invited to present my work on Neanderthal introgression (or lack thereof) via Zoom at UCL.
In addition to the work on the question of Neanderthal introgression, I have two large studies of natural populations. The first is the genetic analysis of mink culled in major project that aims to eradicate this invasive pest from East Anglia and, eventually, from the UK. Mink predation is the major reason behind catastrophic declines in water vole numbers but they also eat kingfishers and pretty much any other species they dispersal patterns and identify kin clusters to inform can catch along the banks of rivers where they live. My work aims to inform trapping strategies. I am also interested in fungi and particularly porcini, Boletus edulis. I have assembled a database of over 4,000 samples, often sampled from under the same trees over periods of up to 15 years. My aim is to understand how this species evolves, including adaptation to its various host trees, dispersal and competition between genets.
I joined the Department of Zoology in 1996 from the Department of Genetics, Cambridge, where I had been joint head of the Molecular Ecology Research Group with Josephine Pemberton.
Research
Data
Detecting climate-linked selection
Below is the accessory data file for the following paper where we explore a new method for estimating selection in the human genome:
- Raj, S.M., Pagani, L., Gallego Romero, I., Kivisild, T. & Amos, W. 2013. A general linear model-based approach for inferring selection to climate. BMC Genetics
This file contains a list of human genes along with their locations and the strength of evidence we found for links to various climate variables.
Boxer Dog Genetics
Key Publications:
The following are the four publications that I feel are my most important ones to date. All relate to my hypothesis that mutation rates are influenced by heterozygosity. The 2013 paper in particular presents evidence that human mutation rate was reduced as heterozygosity was lost when we moved out of Africa. I hope you find it convincing but if you are not convinced Iād love to hear why not!
Amos W. 2013. Variation in heterozygosity predicts variation in human substitution rates between populations, individuals and genomic regions. PLoS ONE 8(4), e63048.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0063048
Amos, W. 2011. Population-specific links between heterozygosity and the rate of human microsatellite evolution. J. Mol. Evol. 72: 215ā221.
https://link.springer.com/article/10.1007/s00239-010-9423-2
Amos, W., Flint, J. & Xu, X. 2008. Heterozygosity increases microsatellite mutation rate, linking it to demographic history. BMC Genetics 9: 72.
https://link.springer.com/content/pdf/10.1186/1471-2156-9-72.pdf
Amos, W. 2010. Heterozygosity and mutation rate: evidence for an interaction and its implications. BioEssays 32: 82ā90.
https://doi.org/10.1002/bies.200900108