Using landscape genomics to assess local adaptation of fruit trees to current and future climatic conditions

Figures (1) Tables (0)

Figure 1.
A summary of performing local adaptation studies. Four steps are provided, including: 1) acquisition of climatic, phenotypic, and genomic data to demonstrate the sign of local adaptation; 2) revealing the association between genomic divergence and environmental variables using Mantel tests, GF modelling and GDM; 3) identifying genomic basis of local adaptation by F_ST-based and GEA outlier detection methods; and 4) prediction of genomic offset to measure adaptive potential to climate change based on the current genotype–environment relationships. F_ST is the fixation index quantifying genetic differentiation among subpopulations. GF, gradient forest. GDM, generalized dissimilarity modelling, GEA, genotype-environment association.