作者
Jimena Guerrero, Marco Andrello, Concetta Burgarella, Stephanie Manel
发表日期
2018/7
期刊
New Phytologist
卷号
219
期号
1
页码范围
378-390
简介
  • Spatial differences in environmental selective pressures interact with the genomes of organisms, ultimately leading to local adaptation. Landscape genomics is an emergent research area that uncovers genome–environment associations, thus allowing researchers to identify candidate loci for adaptation to specific environmental variables.
  • In the present study, we used latent factor mixed models (LFMMs) and Moran spectral outlier detection/randomization (MSOD‐MSR) to identify candidate loci for adaptation to 10 environmental variables (climatic, soil and atmospheric) among 43 515 single nucleotide polymorphisms (SNPs) from 202 accessions of the model legume Medicago truncatula.
  • Soil variables were associated with a large number of candidate loci identified through both LFMMs and MSOD‐MSR. Genes tagged by candidate loci associated with drought and salinity are involved in the response to biotic …
引用总数
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