ESPE Abstracts (2018) 89 LB-P-4

An Updated Evolutionary Study in Glucocorticoid Receptors; Insights from a Comprehensive Phylogenetic, SNP's and Mutation's Analysis of the Nuclear Receptors Family: An Updated Evolutionary Study in Glucocorticoid Receptors; Insights from a Comprehensive Phylogenetic, SNP's and Mutation's Analysis of the Nuclear Receptors Family

Louis Papageorgioua,b,c, Eleni Papakonstantinoub, Constantinos Salisb, Sofia Raftopouloub,d, Thanasis Mitsisb, Nicolas Nicolaidesc,e, Marianna Hagidimitriouf, Elias Eliopoulosf, Evangelia Charmandaric,e, George Chrousosc,e & Dimitrios Vlachakisb,c,g


aDepartment of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece; bGenetics and Computational Biology Group, Laboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece; cDivision of Endocrinology and Metabolism, Biomedical Research Foundation of the Academy of Athens, Athens, Greece; dSotiria Chest Diseases Hospital, Athens, Greece; eDivision of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, University of Athens Medical School, ‘Aghia Sophia’ Children’s Hospital, Athens, Greece; fDepartment of Biotechnology, Agricultural University of Athens, Athens, Greece; gFaculty of Natural & Mathematical Sciences, King’s College London, London, UK


Background: Protein subfamilies within the Nuclear receptor (NR) family share common domain architecture. These closely related receptors and their cognate ligand compounds play a key role in homeostasis, reproduction, growth, and development. Despite their biological significance, their evolution and diversification remains to be elucidated. SNPs and mutations are characterized by the permanent alteration of the nucleotide sequence in the genome of an organism. These alterations can be used as biomarkers of genetic variation within a population. Genetic variation is of extreme importance in the evolutionary process, since it may lead to both structural and functional differentiation in gene products.

Objective and Hypotheses: To update in-depth the phylogenetic tree of the full Nuclear Receptor family across all species in the tree of life, in an effort to identify molecular and evolutionary traits specific to the glucocorticoid sub-family. To study mutations and SNPs as Nuclear Receptor points of interest, directly associated with the structure and function of this specific protein family.

Methods and Results: Combinations of key terms were employed in order to identify relative NR and GR protein sequences on both primary and tertiary/quaternary structural levels. Sequence data were collected from the NCBI Database. Two distinct datasets were prepared for the purposes of this study. The first dataset comprised of all NRs, which involved 117080 (308 GR) entries across all known receptor sub-classes. In the second dataset, 400 entries were collected containing 3D structures of the NR ligand binding domain and clustered in groups, using both evolutionary and structural features. Both datasets were aligned using progressive methods. Phylogenetic analyses were conducted using the UPGMA distance method while the distance matrix in the structural tree was estimated using a hybrid function. Finally, 29 natural occurring mutations and 10 SNPS were chosen and studied on a human GR predicted 3D model. The selection made was based on their impact on the receptor’s structure and function.

Conclusions: Based on our comprehensive evolutionary study in nuclear receptors, a reliable phylogeny ‘map’ was constructed for NRs with more emphasis in GRs. It allowed to pinpoint evolutionary and structurally invariant patches on both the 1D and 3D level of the NR/GR, which led to the identification of structural ‘hotspots’ directly related to function, that are of great interest as novel pharmacological targets. A strong case can be presented for both natural occurring mutations and SNPs being used as structural ‘hotspots’.