Age- and quality-dependent DNA methylation correlate with melanin-based coloration in a wild bird
Soulsbury, C. D., Lipponen, A., Wood, K., Mein, C. A., Hoffman, J. I., & Lebigre, C. (2018). Age- and quality-dependent DNA methylation correlate with melanin-based coloration in a wild bird. Ecology and Evolution, 8(13), 6547-6557. https://doi.org/10.1002/ece3.4132
Published in
Ecology and EvolutionAuthors
Date
2018Copyright
© 2018 The Authors.
Secondary sexual trait expression can be influenced by fixed individual factors (such as genetic quality) but also by dynamic factors (such as age and environmentally induced gene expression) that may be associated with variation in condition or quality. In particular, melanin-based traits are known to relate to condition and there is a well-characterized genetic pathway underpinning their expression. However, the mechanisms linking variable trait expression to genetic quality remain unclear. One plausible mechanism is that genetic quality could influence trait expression via differential methylation and differential gene expression. We therefore conducted a pilot study examining DNA methylation at a candidate gene (agouti-related neuropeptide: AgRP) in the black grouse Lyrurus tetrix. We specifically tested whether CpG methylation covaries with age and multilocus heterozygosity (a proxy of genetic quality) and from there whether the expression of a melanin-based ornament (UV blue chroma) correlates with DNA methylation. Consistent with expectations, we found clear evidence for age- and heterozygosity-specific patterns of DNA methylation, with two CpG sites showing the greatest DNA methylation in highly heterozygous males at their peak age of reproduction. Furthermore, DNA methylation at three CpG sites was significantly positively correlated with UV blue chroma. Ours is the first study to our knowledge to document age- and quality-dependent variation in DNA methylation and to show that dynamic sexual trait expression across the lifespan of an organism is associated with patterns of DNA methylation. Alhough we cannot demonstrate causality, our work provides empirical support for a mechanism that could potentially link key individual factors to variation in sexual trait expression in a wild vertebrate.
...
Publisher
John Wiley & Sons Ltd.ISSN Search the Publication Forum
2045-7758Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/28077381
Metadata
Show full item recordCollections
Additional information about funding
Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta. Grant Numbers: 7119165, 7211271. University of Lincoln RIF pump‐priming. Grant Number: RIF2013‐27. Center of Excellence in Evolutionary Research in University of Jyväskylä. Grant Number: 7211271. Academy of Finland. Grant Number: 7119165.License
Related items
Showing items with similar title or keywords.
-
Fitness in male black grouse (Tetrao tetrix) : effects of life histories and sexual selection on male lifetime mating success
Kervinen, Matti (University of Jyväskylä, 2013) -
Leisure-time physical activity and DNA methylation age : a twin study
Sillanpää, Elina; Ollikainen, Miina; Kaprio, Jaakko; Wang, Xiaoling; Leskinen, Tuija; Kujala, Urho; Törmäkangas, Timo (BioMed Central, 2019)Background: Epigenetic clocks may increase our understanding on human aging and how genetic and environmental factors regulate an individual aging process. One of the most promising clocks is Horvath’s DNA methylation ... -
Does Arsenic Contamination Affect DNA Methylation Patterns in a Wild Bird Population? : An Experimental Approach
Laine, Veronika N.; Verschuuren, Mark; van Oers, Kees; Espín, Silvia; Sánchez-Virosta, Pablo; Eeva, Tapio; Ruuskanen, Suvi (American Chemical Society (ACS), 2021)Pollutants, such as toxic metals, negatively influence organismal health and performance, even leading to population collapses. Studies in model organisms have shown that epigenetic marks, such as DNA methylation, can be ... -
Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
McCartney, Daniel L.; Min, Josine L.; Richmond, Rebecca C.; Lu, Ake T.; Sobczyk, Maria K.; Davies, Gail; Broer, Linda; Guo, Xiuqing; Jeong, Ayoung; Jung, Jeesun; Kasela, Silva; Katrinli, Seyma; Kuo, Pei-Lun; Matias-Garcia, Pamela R.; Mishra, Pashupati P.; Nygaard, Marianne; Palviainen, Teemu; Patki, Amit; Raffield, Laura M.; Ratliff, Scott M.; Richardson, Tom G.; Robinson, Oliver; Soerensen, Mette; Sun, Dianjianyi; Tsai, Pei-Chien; van der Zee, Matthijs D.; Walker, Rosie M.; Wang, Xiaochuan; Wang, Yunzhang; Xia, Rui; Xu, Zongli; Yao, Jie; Zhao, Wei; Correa, Adolfo; Boerwinkle, Eric; Dugué, Pierre-Antoine; Durda, Peter; Elliott, Hannah R.; Gieger, Christian; The Genetics of DNA Methylation Consortium; de Geus, Eco J. C.; Harris, Sarah E.; Hemani, Gibran; Imboden, Medea; Kähönen, Mika; Kardia, Sharon L. R.; Kresovich, Jacob K.; Li, Shengxu; Lunetta, Kathryn L.; Mangino, Massimo; Mason, Dan; McIntosh, Andrew M.; Mengel-From, Jonas; Moore, Ann Zenobia; Murabito, Joanne M.; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium; Ollikainen, Miina; Pankow, James S.; Pedersen, Nancy L.; Peters, Annette; Polidoro, Silvia; Porteous, David J.; Raitakari, Olli; Rich, Stephen S.; Sandler, Dale P.; Sillanpää, Elina; Smith, Alicia K.; Southey, Melissa C.; Strauch, Konstantin; Tiwari, Hemant; Tanaka, Toshiko; Tillin, Therese; Uitterlinden, Andre G.; Van Den Berg, David J.; van Dongen, Jenny; Wilson, James G.; Wright, John; Yet, Idil; Arnett, Donna; Bandinelli, Stefania; Bell, Jordana T.; Binder, Alexandra M.; Boomsma, Dorret I.; Chen, Wei; Christensen, Kaare; Conneely, Karen N.; Elliott, Paul; Ferrucci, Luigi; Fornage, Myriam; Hägg, Sara; Hayward, Caroline; Irvin, Marguerite; Kaprio, Jaakko; Lawlor, Deborah A.; Lehtimäki, Terho; Lohoff, Falk W.; Milani, Lili; Milne, Roger L.; Probst-Hensch, Nicole; Reiner, Alex P.; Ritz, Beate; Rotter, Jerome I.; Smith, Jennifer A.; Taylor, Jack A.; van Meurs, Joyce B. J.; Vineis, Paolo; Waldenberger, Melanie; Deary, Ian J.; Relton, Caroline L.; Horvath, Steve; Marioni, Riccardo E. (Biomed Central, 2021)Background Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation ...