Mercy Yvonne Akinyi

Mercy Yvonne Akinyi

Auto-generated profile, based on publicly available information

Mercy Yvonne Akinyi


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 March 2013 in Animal Behaviour
Verified
Journal Article
Closed access
MAMercy Y. Akinyi
Mercy Y. Akinyi
JTJenny Tung
Jenny Tung
MJMaamun Jeneby
Maamun Jeneby
NPNilesh B. Patel
Nilesh B. Patel
JAJeanne Altmann
Jeanne Altmann
SASusan C. Alberts
Susan C. Alberts

6 April 2021 in eLife
Verified
Journal Article
Open access
JAJordan A Anderson
Jordan A Anderson
RJRachel A Johnston
Rachel A Johnston
ALAmanda J Lea
Amanda J Lea
FCFernando A Campos
Fernando A Campos
TVTawni N Voyles
Tawni N Voyles
JTJenny Tung
Jenny Tung
Aging, for virtually all life, is inescapable. However, within populations, biological aging rates vary. Understanding sources of variation in this process is central to understanding the biodemography of natural populations. We constructed a DNA methylation-based age predictor for an intensively studied wild baboon population in Kenya. Consistent with findings in humans, the resulting ‘epigenetic clock’ closely tracks chronological age, but individuals are predicted to be somewhat older or younger than their known ages. Surprisingly, these deviations are not explained by the strongest predictors of lifespan in this population, early adversity and social integration. Instead, they are best predicted by male dominance rank: high-ranking males are predicted to be older than their true ages, and epigenetic age tracks changes in rank over time. Our results argue that achieving high rank for male baboons – the best predictor of reproductive success – imposes costs consistent with a ‘live fast, die young’ life-history strategy.

1 August 2021 in International Journal for Parasitology: Drugs and Drug Resistance
Verified
Journal Article
Open access
LNLeonard Ndwiga
Leonard Ndwiga
KKKelvin M. Kimenyi
Kelvin M. Kimenyi
KWKevin Wamae
Kevin Wamae
VOVictor Osoti
Victor Osoti
MAMercy Akinyi
Mercy Akinyi
LOLynette Isabella Ochola-Oyier
Lynette Isabella Ochola-Oyier
Artemisinin resistance (AR) emerged in South East Asia 13 years ago and the identification of the resistance conferring molecular marker, Plasmodium falciparum Kelch 13 (Pfk13), 7 years ago has provided an invaluable tool for monitoring AR in malaria endemic countries. Molecular Pfk13 surveillance revealed the resistance foci in the Greater Mekong Subregion, an independent emergence in Guyana, South America, and a low frequency of mutations in Africa. The recent identification of the R561H Pfk13 AR associated mutation in Tanzania, Uganda and in Rwanda, where it has been associated with delayed parasite clearance, should be a concern for the continent. In this review, we provide a summary of Pfk13 resistance associated propeller domain mutation frequencies across Africa from 2012 to 2020, to examine how many other countries have identified these mutations. Only four African countries reported a recent identification of the M476I, P553L, R561H, P574L, C580Y and A675V Pfk13 mutations at low frequencies and with no reports of clinical treatment failure, except for Rwanda. These mutations present a threat to malaria control across the continent, since the greatest burden of malaria remains in Africa. A rise in the frequency of these mutations and their spread would reverse the gains made in the reduction of malaria over the last 20 years, given the lack of new antimalarial treatments in the event artemisinin-based combination therapies fail. The review highlights the frequency of Pfk13 propeller domain mutations across Africa, providing an up-to-date perspective of Pfk13 mutations, and appeals for an urgent and concerted effort to monitoring antimalarial resistance markers in Africa and the efficacy of antimalarials by re-establishing sentinel surveillance systems.

13 January 2011 in Molecular Ecology
Verified
Journal Article
Closed access
PDF file
JTJ. Tung
J. Tung
MAM. Y. Akinyi
M. Y. Akinyi
SMS. Mutura
S. Mutura
JAJ. Altmann
J. Altmann
GWG. A. Wray
G. A. Wray
SAS. C. Alberts
S. C. Alberts

10 April 2019 in Journal of Animal Ecology
Verified
Journal Article
Closed access
PDF file
MAMercy Y. Akinyi
Mercy Y. Akinyi
DJDavid Jansen
David Jansen
BHBobby Habig
Bobby Habig
LGLaurence R. Gesquiere
Laurence R. Gesquiere
SASusan C. Alberts
Susan C. Alberts
EAElizabeth A. Archie
Elizabeth A. Archie

5 March 2024 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
JAJordan A. Anderson
Jordan A. Anderson
DLDana Lin
Dana Lin
ALAmanda J. Lea
Amanda J. Lea
RJRachel A. Johnston
Rachel A. Johnston
TVTawni Voyles
Tawni Voyles
JTJenny Tung
Jenny Tung
The early-life environment can profoundly shape the trajectory of an animal’s life, even years or decades later. One mechanism proposed to contribute to these early-life effects is DNA methylation. However, the frequency and functional importance of DNA methylation in shaping early-life effects on adult outcomes is poorly understood, especially in natural populations. Here, we integrate prospectively collected data on fitness-associated variation in the early environment with DNA methylation estimates at 477,270 CpG sites in 256 wild baboons. We find highly heterogeneous relationships between the early-life environment and DNA methylation in adulthood: aspects of the environment linked to resource limitation (e.g., low-quality habitat, early-life drought) are associated with many more CpG sites than other types of environmental stressors (e.g., low maternal social status). Sites associated with early resource limitation are enriched in gene bodies and putative enhancers, suggesting they are functionally relevant. Indeed, by deploying a baboon-specific, massively parallel reporter assay, we show that a subset of windows containing these sites are capable of regulatory activity, and that, for 88% of early drought-associated sites in these regulatory windows, enhancer activity is DNA methylation-dependent. Together, our results support the idea that DNA methylation patterns contain a persistent signature of the early-life environment. However, they also indicate that not all environmental exposures leave an equivalent mark and suggest that socioenvironmental variation at the time of sampling is more likely to be functionally important. Thus, multiple mechanisms must converge to explain early-life effects on fitness-related traits.