Fundação para a Ciência e a Tecnologia (FCT, Portugal; ALG-01-0145-FEDER-029263). PI: O.S. Paulo. Team member: F.X. Picó. 2018-2020.
Summary:
The increment of the global climate change, since the
last decades of the XX century is partially responsible for the decline
affecting, the forest of Quercus suber (Cork Oak) and Quercus
rotundifolia (Holm Oak), the two main trees of Montado type of habitat
common in the western Mediterranean region, and in particular in Iberian
peninsula. The ecological and socio-economic importance of these trees
is well recognized but currently in Portugal alone, 20% of the cork oak
forest is in decline. Biological species are responding to climate
change by modifying their phenology and physiology, by adapt to the new
local conditions and by changing their distribution. Trees and in
particular oaks have a set of characteristics that made their response
almost a paradox. Oaks combine high local differentiation for adaptive
traits with extensive gene flow and harbour high levels of genetic
diversity allowing them to adapt rapidly to local conditions. Local
adaptation is driven by strong selection during early life stages and
this seems not to be hampered by gene flow but on the contrary, enhance
by it. Based on this rational, the main hypothesis to be tested in this
project is that the change in adaptive traits can be already detected by
genotyping young trees of natural regeneration developed after the
beginning and increase of climatic/environmental changes, by comparing
with local adult/old trees as well as by sample across steep climatic
gradients. In both ways the genomic signature of local adaptation can be
traced and unravelled the process, both Oaks species, are keeping pace
with fast environmental changes. To achieve this aim the project use
genomic resources already developed in other projects by the PI or other
authors, approximately one hundred genomic regions/loci that can
potentially be under selection, and sequence a large number of samples
of the two species along environmental gradients and from two cohorts,
using Illumina sequence. Additionally genotype-by-sequence, a method for
obtaining genome wide markers, is used to increase the sample size in
selected areas intensively affected by climate/environmental changes.
The use of genomic information to detect local adaptation in a young
cohort, allow the spatial and temporal projection of the association of
the climatic/environmental factors with the local genetic variation and
consequently modelled the future distribution of resilient types of
genotypes. Based on genetic information, its environmental association,
and on spatially explicit distribution model for these species, the
project aims to develop a genetically-informed ecological niche model to
improve climate/environmental change predictions. This result can be an
important instrument for assisted gene flow or assisted migration, and
consequently for the functional integrity of the Montado ecosystem, the
future of the cork production and the associated socio-economic
environment.