Plant domestication and the development of agriculture is a topic of interest in a wide variety of fields. Comparison of wild and domestic specimens holds the key to identifying the genetic basis of traits of interest in agriculture. From an evolutionary genomics perspective, domestication redirected plant development to meet human needs, sometimes even exposing the same wild ancestor to different selective pressures from which different crops evolved. Finally, the process itself was a milestone in human evolution, as it changed human societies and the way they interacted.
In our group we want to unveil the domestication process for different crops by using the genomic data of modern and ancient specimens. We use population genetics theory, biostatistic and bioinformatic tools that we develop to characterise genetic variation of ancient specimens and analyse it in the context of modern genetic variation. Our goal is to gain insights into the genetic architecture of past populations, the dispersal of domestic varieties though the globe and the identification of regions of the genome that are of agricultural interest. We are currently working towards the understanding of emmer wheat, barley and chickpea domestication. We also have projects on population genetics of domestic animals, namely a project on European domestic dogs from the Neolithic to the Roman Period and a project on modern goat breed characterisation.
Scott MF*, Botigué LR*, Brace S, Stevens C, Stevenson A, Thomas MG, Fuller D, Mott R.
Whole genome sequence from 3,000-year-old Egyptian emmer wheat reveals dispersal and domestication history
Botigué LR*, Song S*, Scheu A*, Gopalan S, Pendleton AL, Oetjens M, Taravella A, Seregély T, Zeeb-Lanz A, Arbogast RM, Bobo A, Unterländer M, Daly K, Kidd JM, Burger J, Veeramah KR.
Genomic analysis of early farming dogs in Central Europe.
(2017) Nature Communications 8:16082.
Henn BM*, Botigué LR*, Peischl S, Dupanloup I, Lipatov M, Maples BK, Martin AR, Musharoff S, Cann H, Snyder MP, Excoffier L, Kidd JM, Bustamante CD.
Distance from sub-Saharan Africa predicts mutational load in diverse human genomes.
(2016) Proceedings of the National Academy of Sciences 113(4):E440-9