Resource competition has driven the evolution of novel polyphenisms in numerous organisms, enhancing fitness in constantly changing environmental conditions. In natural communities, the myriad interactions among diverse species are difficult to disentangle, but the multidimensional microscopic environment of a decaying insect teeming with bacteria and fighting nematodes provides pliable systems to investigate. Necromenic nematodes of the family Diplogastridae live on beetles worldwide, innocuously waiting for their hosts' deaths to feast on the blooming bacteria. Often, more than one worm species either affiliates with the insect or joins the microbial meal; thus, competition over limited food ensues, and phenotypic plasticity provides perks for species capable of employing polyphenisms. The recently established system of cockchafer and its occasional co-infestation of and . has revealed that these worms will simultaneously utilize two polyphenisms to thrive in a competitive environment. While both genera maintain plastic capacities in mouth form (strictly bacterial-feeding and omnivorous predation) and developmental pathway (direct and arrested development, dauer), employs both when faced with competition from . Here, we took advantage of the malleable system and added a third competitor, model nematode . Intriguingly, with a third competitor, is quicker to exit dauer and devour available food, while hides in dauer, waiting for the two species to leave the immediate environment before resuming development. Thus, experimental manipulation of short-lived ecosystems can be used to study the roles of polyphenisms in organismal interactions and their potential significance for evolution.
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http://dx.doi.org/10.3389/fcell.2022.985831 | DOI Listing |
Mach Learn Appl
June 2024
McGill University Department of Biostatistics, 805 rue Sherbrooke O, Montréal, H3A 0B9, Quebec, Canada.
In the context of survival analysis, data-driven neural network-based methods have been developed to model complex covariate effects. While these methods may provide better predictive performance than regression-based approaches, not all can model time-varying interactions and complex baseline hazards. To address this, we propose Case-Base Neural Networks (CBNNs) as a new approach that combines the case-base sampling framework with flexible neural network architectures.
View Article and Find Full Text PDFPLoS One
January 2025
College of Computer and Information Science, Southwest University, Chongqing, China.
The consumption forecasting of oil and coal can help governments optimize and adjust energy strategies to ensure energy security in China. However, such forecasting is extremely challenging because it is influenced by many complex and uncertain factors. To fill this gap, we propose a hybrid deep learning approach for consumption forecasting of oil and coal in China.
View Article and Find Full Text PDFmBio
December 2024
Department of Microbiology and Immunology, College of Medicine, University of Louisville, Louisville, Kentucky, USA.
Unlabelled: species evade degradation and proliferate within alveolar macrophages as an essential step for the manifestation of disease. However, most intracellular bacterial pathogens are restricted in neutrophils, which are the first line of innate immune defense against invading pathogens. Bacterial degradation within neutrophils is mediated by the fusion of microbicidal granules to pathogen-containing phagosomes and the generation of reactive oxygen species (ROS) by the phagocyte NADPH oxidase complex.
View Article and Find Full Text PDFmSphere
December 2024
Department of Biological Sciences, Binghamton University, Binghamton, New York, USA.
Unlabelled: Bacteria assume two distinct lifestyles: the planktonic and biofilm modes of growth. Additionally, dispersion has emerged as a third phenotype, accompanied by the distinct phenotypes and the unique expression of >600 genes. Here, we asked whether the distinct phenotype of dispersed cells is already apparent within minutes of egressing from the biofilm.
View Article and Find Full Text PDFExpert Opin Biol Ther
November 2024
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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