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Age‐dependent expression of cancer‐related genes in a long‐lived seabird

Authors :
Richard Meitern
Kalev Rattiste
Jérôme Fort
Tuul Sepp
Mathieu Giraudeau
Elin Sild
Institute of Ecology and Earth Sciences [Tartu]
University of Tartu
LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs)
Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)
Centre de Recherches Ecologiques et Evolutives sur le Cancer (MIVEGEC-CREEC)
Processus Écologiques et Évolutifs au sein des Communautés (PEEC)
Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC)
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC)
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])
Institute of Agricultural and Environmental Sciences (IAES)
Estonian University of Life Sciences (EMU)
LIttoral ENvironnement et Sociétés (LIENSs)
La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)
Source :
Evolutionary Applications, Evolutionary Applications, Blackwell, 2020, 13 (7), pp.1708-1718. ⟨10.1111/eva.13024⟩, Evolutionary Applications, Vol 13, Iss 7, Pp 1708-1718 (2020), Evolutionary Applications, 2020, 13 (7), pp.1708-1718. ⟨10.1111/eva.13024⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; Studies of model animals like mice and rats have led to great advances in our understanding of the process of tumorigenesis, but this line of study has less to offer for understanding the mechanisms of cancer resistance. Increasing the diversity of nonmodel species from the perspective of molecular mechanisms of natural cancer resistance can lead to new insights into the evolution of protective mechanisms against neoplastic processes and to a wider understanding of natural cancer defense mechanisms. Such knowledge could then eventually be harnessed for the development of human cancer therapies. We suggest here that seabirds are promising, albeit currently completely ignored candidates for studying cancer defense mechanisms, as they have a longer maximum life span than expected from their body size and rates of energy metabolism and may have thus evolved mechanisms to limit neoplasia progression, especially at older ages. We here apply a novel, intraspecific approachof comparing old and young seabirds for improving our understanding of aging and neoplastic processes in natural settings. We used the long-lived common gulls (Larus canus) for studying the age-related pattern of expression of cancer-related genes, based on transcriptome analysis and databases of orthologues of human cancer genes. The analysis of differently expressed cancer-related genes between young and old gulls indicated that similarly to humans, age is potentially affecting cancer risk in this species. Out of eleven differentially expressed cancer-related genes between the groups, three were likely artifactually linked to cancer. The remaining eight were downregulated in old gulls compared to young ones. The downregulation of five of them could be interpreted as a mechanism suppressing neoplasia risk and three as increasing the risk. Based on these results, we suggest that old gulls differ from young ones both from the aspect of cancer susceptibility and tumor suppression atthe genetic level.

Details

Language :
English
ISSN :
17524563 and 17524571
Database :
OpenAIRE
Journal :
Evolutionary Applications, Evolutionary Applications, Blackwell, 2020, 13 (7), pp.1708-1718. ⟨10.1111/eva.13024⟩, Evolutionary Applications, Vol 13, Iss 7, Pp 1708-1718 (2020), Evolutionary Applications, 2020, 13 (7), pp.1708-1718. ⟨10.1111/eva.13024⟩
Accession number :
edsair.doi.dedup.....4c83b782922158b5cb629bb407a05f26
Full Text :
https://doi.org/10.1111/eva.13024⟩