CoBiG2 aim is to implement population genomics approaches to study the evolutionary and ecological diversification of species in natural environments and to study the genomic process of adaptation of organism and populations to their environments. Additionally we also aim to carry out associations studies between traits and genotypes and how they can very under different environmental conditions. Both aims are particular relevant for forecasting the impact of environmental changes on natural populations as well as for implementation of marker-assisted selection. Understanding the genetics and genomics of the environmental change and its consequences for biodiversity and its preservation is the overall goal of this research group.
In close interaction with the above work and goals, third-party and in-house developed software, bioinformatics pipelines and data mining computational techniques are used to analyze the generated population-genetic, phylogenetic, and phylogeographic datasets. A more recent challenge in this direction is the analysis of the large datasets that we are about to generate using next-generation sequencing technology under a population genomics and gene discovery framework, to address the scientific questions above.
Sim-Sim, M., Martins A., Rodrigues, A.S.B., Garcia, C.A., Sérgio, C., van Rooy, J., González-Mancebo, j.M., Vanderpoorten, A., Patiño, J., Hedenäs, L. & Gradstein, S.R. (2019) Ptychomitrium subcrispatum Thér. & P.de la Varde, an east southern African species excluded from the Cape Verde bryoﬂora.Journal of Bryology, 41(3), 281-284. DOI:10.1080/03736687.2019.1634338 (IF2018 1,361; Q3 Plant Sciences)
Draper, D., Marques, I. & Iriondo, J.M. (2019) Species distribution models with field validation, a key approach for successful selection of receptor sites in conservation translocationsGlobal Ecology and Conservation, 19, e00653. DOI:10.1016/j.gecco.2019.e00653 (IF2018 2,751; Q2 Biodiversity Conservation)
Sokoloff, D.D., Marques, I., Macfarlane, T.D., Remizowa, M.V., Lam, V.K.Y., Pellicer, J., Hidalgo, O., Rudall, P.J. & Graham, S.W. (2019) Cryptic species in an ancient flowering‐plant lineage (Hydatellaceae, Nymphaeales) revealed by molecular and micromorphological data.Taxon, 68, 1-19. DOI:10.1002/tax.12026 (IF2018 3,823; Q1 Plant Sciences)