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Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo.
Nat Commun
December 2024
School of Data Science, The Chinese University of Hong Kong-Shenzhen, Shenzhen, China.
Recently, RNA velocity has driven a paradigmatic change in single-cell RNA sequencing (scRNA-seq) studies, allowing the reconstruction and prediction of directed trajectories in cell differentiation and state transitions. Most existing methods of dynamic modeling use ordinary differential equations (ODE) for individual genes without applying multivariate approaches. However, this modeling strategy inadequately captures the intrinsically stochastic nature of transcriptional dynamics governed by a cell-specific latent time across multiple genes, potentially leading to erroneous results.
View Article and Find Full Text PDFSEAD reference panel with 22,134 haplotypes boosts rare variant imputation and genome-wide association analysis in Asian populations.
Nat Commun
December 2024
Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Limited whole genome sequencing (WGS) studies in Asian populations result in a lack of representative reference panels, thus hindering the discovery of ancestry-specific variants. Here, we present the South and East Asian reference Database (SEAD) panel ( https://imputationserver.westlake.
View Article and Find Full Text PDFNeutral drift upon threshold-like selection promotes variation in antibiotic resistance phenotype.
Nat Commun
December 2024
Michael Smith Laboratories, University of British Columbia, Vancouver, V6T 1Z4, BC, Canada.
Heritable phenotypic variation plays a central role in evolution by conferring rapid adaptive capacity to populations. Mechanisms that can explain genetic diversity by describing connections between genotype and organismal fitness have been described. However, the difficulty of acquiring comprehensive data on genotype-phenotype-environment relationships has hindered the efforts to explain how the ubiquitously observed phenotypic variation in populations emerges and is maintained.
View Article and Find Full Text PDFComparative genetic mapping and a consensus interspecific genetic map reveal strong synteny and collinearity within the genus.
Front Plant Sci
December 2024
Genoscope, Institut de Biologie François-Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, Evry, France.
Introduction: Useful germplasm for citrus breeding includes all sexually compatible species of the former genera , and , now merged in the single genus. An improved knowledge on the synteny/collinearity between the genome of these different species, and on their recombination landscapes, is essential to optimize interspecific breeding schemes.
Method: We have performed a large comparative genetic mapping study including several main clades of the genus.
The eusocial non-code: Unveiling the impact of noncoding RNAs on Hymenoptera eusocial evolution.
Noncoding RNA Res
April 2025
Institute of Environmental and Agricultural Biology (X-BIO), Tyumen State University, 625003, Tyumen, Russia.
Eusociality, characterized by reproductive division of labor, cooperative brood care, and multi-generational cohabitation, represents a pinnacle of complex social evolution, most notably manifested within the Hymenoptera order including bees, ants, and wasps. The molecular underpinnings underlying these sophisticated social structures remain an enigma, with noncoding RNAs (ncRNAs) emerging as crucial regulatory players. This article delves into the roles of ncRNAs in exerting epigenetic control during the development and maintenance of Hymenopteran eusociality.
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