Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Station d'Ecologie Théorique et Expérimentale, UMR-5321, F-09200 Moulis, France.
Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Station d'Ecologie Théorique et Expérimentale, UMR-5321, F-09200 Moulis, France.
Trends Genet. 2017 Sep;33(9):579-580. doi: 10.1016/j.tig.2017.06.007. Epub 2017 Jul 15.
The increasing availability of large-scale and high-resolution data sets in population genetics is moving the field toward a novel research agenda. Here, we show how this shift toward macrogenetics should generate new perspectives and theories allowing the description, understanding, and prediction of patterns of genetic diversity at broad spatial, temporal, and taxonomic scales.
大规模和高分辨率数据集在群体遗传学中的日益普及正在推动该领域朝着新的研究议程发展。在这里，我们展示了这种向大遗传学的转变应该如何产生新的观点和理论，从而能够描述、理解和预测广泛的空间、时间和分类学尺度上的遗传多样性模式。
