generously funded by an European Society for Evolutionary Biology (ESEB) Special Topics Network (STN).
ADAPT website: aDNA.network
Evolution is typically a process rather than an event, and as such progresses over time and is thus best studied by sampling time series data, rather than sampling at a single time point. However, the timescales of many evolutionary processes are greater than the lifespans of those of us studying them. Therefore, evolutionary genetics studies would be well served by retrospectively sampling across evolutionary timescales by using ancient DNA (aDNA) techniques. Our proposed Special Topic Network would bring together leaders in the field of aDNA laboratory work; developers of new data analyses tools for handling the peculiarities of genomic sequence data from ancient samples and time-series data; and empiricists working with time-series samples that would benefit from the application of these ancient DNA protocols.
A potential shortcoming of evolutionary studies that use contemporary data for detecting natural selection acting on advantageous alleles is that the statistical methods have poor sensitivity and temporal resolution and will be confounded by changes in ecological conditions, geographic distribution, rates of introgressive gene flow and population size, all of which could have influenced the strength and consistency of selection and the progress of adaptation. Current attempts to infer both historical selection and demography jointly are either limited to very simple models of past demography or suffer from strong assumptions about the strength of selection and distribution of beneficial mutations.
Long-term time series data have the benefit of being able to estimate effective population size through time using neutral markers and identify the timing relative to ecological change, the tempo and chronology of changes in allele frequencies and sites known to be the targets of natural selection during ecological shifts. Given the temporal aspect of adaptation and speciation, ancient DNA (aDNA) techniques are an obvious and promising tool with which to track the progress of natural selection’s effect upon the genome using time-series data.
While recent ESEB and SMBE conferences have facilitated individual talks and even symposia on paleogenomic studies of evolution, the ADAPT Special Topic Network will allow more focused interactions within specialist areas, integrating across the sub-disciplines that this field encompasses. The key disciplines we will build a dialogue among, are those specialising in the development of methods and theory that utilise time-series datasets; those developing lab methods for aDNA extraction, library build and sequencing; and those working on key systems for the empirical study of evolution, for which time-series data exist, but require a palaeogenomics approach to unlock their potential. Interaction across these inter-related disciplines will allow the merging of the individual specialised fields into an innovative pipeline for studying evolution using ancient DNA.
By holding a series of connected events, this will allow the application of methods developed and progression based upon the lessons learned. We anticipate that this format will maximise the benefit to the community of evolutionary biologists within Europe and further afield.
Plans for the first two years of operation of the STN include two workshops, two training courses (one on labwork, one on bioinformatics specific to palaeogenomics) and a symposium at either the joint Evolution meeting or the 2019 congress.
More information is available at the ADAPT website: aDNA.network
Assoc. Prof. Andrew Foote
NTNU University Museum
Norway
Asst. Prof. Anna-Sapfo Malaspinas
University of Bern,
Switzerland
Assoc. Prof. Eline Lorenzen
Natural History Museum of Denmark
The University of Copenhagen
Denmark
Prof. Love Dalén
Dept. of Bioinformatics and Genetics
Swedish Museum Natural History
Sweden
Asst. Prof. María C. Ávila-Arcos
International Laboratory for
Human Genome Research
National Autonomous University of Mexico
Mexico
Dr. Marie Louis
Scottish Oceans Institute
University of St Andrews
United Kingdom
Dr. Matteo Fumagalli
Department of Life Sciences
Imperial College London
United Kingdom
Prof. Ole Seehausen
Institute of Ecology & Evolution
University of Bern
Switzerland
Department Fish Ecology & Evolution
Eawag, Center for Ecology, Evolution and Biogeochemistry
Switzerland
Assoc. Prof. Michael D. Martin
Department of Natural History
NTNU University Museum
Norway
Prof. M. Thomas P. Gilbert
Section for Evolutionary Genomics
Natural History Museum of Denmark
The University of Copenhagen
Denmark
ICREA Prof. Tomas Marques-Bonet
Director Institut Evolutionary Biology (CSIC-UPF)
Spain
Asst. Prof. Nina Overgaard Therkildsen
Department of Natural Resources
Cornell University
USA
Dr. Jennifer A. Jackson
British Antarctic Survey
United Kingdom
Prof. Daniel Wegmann
Department of Biology
University of Fribourg
Switzerland