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Metabolic processes in eukaryotic cells depend on interactions between mitochondrial and nuclear gene products (mitonuclear interactions). These interactions could have a direct role in population divergence. Here, we study mitonuclear co-evolution in a widespread bird that experienced population divergence followed by bidirectional mitochondrial introgression into different nuclear backgrounds. Using >60,000 single nucleotide polymorphisms, we quantify patterns of nuclear genetic differentiation between populations that occupy areas with different climates and harbour deeply divergent mitochondrial lineages despite ongoing nuclear gene flow. We find that strong genetic differentiation and sequence divergence in a region of ~15.4 megabases on chromosome 1A mirror the geographic pattern of mitochondrial DNA divergence. This result is seen in two different transects representing populations with different nuclear backgrounds. The chromosome 1A region is enriched for genes performing mitochondrial functions (N-mt genes). Molecular signatures of selective sweeps in this region alongside those in the mitochondrial genome suggest a history of adaptive mitonuclear co-introgression. Moreover, evidence for large linkage disequilibrium blocks in this genomic region suggests that low recombination could facilitate functional interactions between co-evolved nuclear alleles. Our results are consistent with mitonuclear co-evolution as an important mechanism for population divergence and local adaptation.
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http://dx.doi.org/10.1038/s41559-018-0606-3 | DOI Listing |
Heart Rhythm
September 2025
Cardiac Electrophysiology Section, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio. Electronic address:
Background: Transvenous lead extraction (TLE) is increasingly performed in older adults, but literature has reported divergent outcomes in very old populations.
Objective: To investigate the impact of patient age on TLE outcomes, with an emphasis on older patients.
Methods: Using the ExTRACT registry, the largest TLE registry to date, we analyzed 5,090 patients who underwent TLE between August 1996-2022 at the Cleveland Clinic, a high-volume center.
Mol Biol Evol
September 2025
Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, Washington, USA.
Human parainfluenza virus 2 (HPIV-2) and human parainfluenza virus 4 (HPIV-4) are significant but underappreciated respiratory pathogens, particularly among high-risk populations including children, the elderly, and immunocompromised individuals. In this study, we sequenced 101 HPIV-2 and HPIV-4 genomes from respiratory samples collected in western Washington State and performed comprehensive evolutionary analyses using both new and publicly available sequences. Phylogenetic and phylodynamic analyses revealed that both HPIV-2 and HPIV-4 evolve at significantly faster rates compared to mumps virus, a reference human orthorubulavirus.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
California Institute of Technology, TAPIR, Division of Physics, Mathematics, and Astronomy, Pasadena, California 91125, USA.
In the gravitational-wave analysis of pulsar-timing-array datasets, parameter estimation is usually performed using Markov chain Monte Carlo methods to explore posterior probability densities. We introduce an alternative procedure that instead relies on stochastic gradient-descent Bayesian variational inference, whereby we obtain the weights of a neural-network-based approximation of the posterior by minimizing the Kullback-Leibler divergence of the approximation from the exact posterior. This technique is distinct from simulation-based inference with normalizing flows since we train the network for a single dataset, rather than the population of all possible datasets, and we require the computation of the data likelihood and its gradient.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Political Science, Syracuse University, New York, United States of America.
Background: The rapid global spread of the COVID-19 pandemic affected different regions, communities, and individuals in vastly different ways that interdisciplinary social scientists are well-positioned to document and investigate. This paper describes an innovative mixed-methods dataset generated by a research study that was designed to chronicle and preserve evidence of the pandemic's divergent effects: the Pandemic Journaling Project (PJP). The dataset was generated by leveraging digital technology to invite ordinary people around the world to document the impact of the COVID-19 pandemic on their everyday lives over a two-year period (May 2020-May 2022) using text, images, and audio.
View Article and Find Full Text PDFJ Clin Hypertens (Greenwich)
September 2025
Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
This study aims to fill this gap by leveraging Global Burden of Disease 2021 (GBD 2021) data to conduct a comprehensive assessment of the disease burden attributable to high systolic blood pressure (SBP) in young adults. Data from the Global Health Data Exchange were utilized to estimate the disease burden attributable to high SBP in young adults, stratified by overall disease, sex, socio-demographic index (SDI) level, GBD region, nation, and specific disease. In 2021, the overall disease attributable to high SBP in young adults was substantial, with approximately 24,626,362 disability-adjusted life years (DALYs) and 477,992 deaths, and the DALYs and mortality rates were 623.
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