Tree Genetics & Genomes

, 12:3 | Cite as

Recent landscape genomics studies in forest trees—what can we believe?

  • Irina Ćalić
  • Filippo Bussotti
  • Pedro J. Martínez-García
  • David B. Neale
Opinion Paper
Part of the following topical collections:
  1. Adaptation


Landscape genomics is potentially a powerful research field for discovery of genes underlying complex patterns of adaptation in forest ecosystems. The general approach is to search for associations between genetic variation in tree populations and environmental variation in the habitats these trees occupy. For example, environmental data from GIS databases can be associated with single nucleotide polymorphisms in genes for large samples of trees sampled from within environmentally heterogeneous landscapes. In this opinion paper, we seek to assess the commonality of recent landscape genomics studies in forest trees. When we compare results across different species, we find very few examples of the same genes being detected that associate to similar environmental variables. We also find the absence of commonality when we compare three studies in Norway spruce with similar experimental design. We thus argue that landscape genomics research in forest trees is in its infancy and currently reported that results should be viewed with caution. Further, improvements in study design and analyses of replicated studies will be needed before this very promising approach can be brought to application for managing forests under changing climate.


Adaptation Genotype to environment Genomics Picea abies 



The authors declare that they have no conflict of interest. The authors thank to Dr. Andrew J. Eckert for helpful discussion and detailed and constructive suggestions. Irina Ćalić was supported by DISPAA doctorate scholarship provided by University of Florence, Italy. A special thanks goes to John D. Liechty for a compressive help on scripting and computational work at UC Davis. Irina Ćalić give thanks to Markus Neteler (GIS Remote sensing group at Foundation of Edmund Mach, San Michele all’Adige, Italy) for providing environmental dataset and Lorenzo Bonosi for sharing of genomic data within project PicPhenomics on Norway spruce.

Supplementary material

11295_2015_960_MOESM1_ESM.docx (102 kb)
ESM 1 (DOCX 101 kb)


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department Agri-food Productions and Environmental Science Section of Plant and Soil ScienceFlorenceItaly
  2. 2.IASMA Research and Innovation CentreS. Michele all’AdigeItaly
  3. 3.Department Plant SciencesUniversity of CaliforniaDavisUSA

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