Nematodes of the genus inhabit the large intestines or stomachs of macropodid (kangaroos and wallabies) and vombatid (wombats) marsupials. This study established the relationships of seven species of using mitochondrial (mt) protein amino acid sequence data sets. Phylogenetic analyses revealed that species of (, , , , and ) from the large intestines of their hosts formed a monophyletic assemblage with strong nodal support to the exclusion of from the stomach of the swamp wallaby. Furthermore, the mitochondrial protein-coding genes provided greater insights into the diversity and phylogeny of the genus ; such data sets could potentially be used to elucidate the relationships among other parasitic nematodes of Australian marsupials.
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http://dx.doi.org/10.3390/pathogens9121042 | DOI Listing |
Sci Rep
January 2025
School of Information Engineering, Tianjin University of Commerce, Tianjin, China.
Deep learning is a double-edged sword. The powerful feature learning ability of deep models can effectively improve classification accuracy. Still, when the training samples for each class are limited, it will not only face the problem of overfitting but also significantly affect the classification result.
View Article and Find Full Text PDFSci Data
January 2025
Hubei Hongshan Laboratory, Wuhan, 430070, China.
The cabbage aphid, Brevicoryne brassicae, is a major pest on Brassicaceae plants, causing significant yield losses annually. However, the lack of genomic resources has hindered progress in understanding this pest at the molecular level. Here, we present a high-quality, chromosomal-level genome assembly for B.
View Article and Find Full Text PDFMath Biosci
January 2025
Department of Mathematics, University of Illinois Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA. Electronic address:
An epidemiological model with a minimal number of parameters is introduced and its structural and practical identifiabity is investigated both analytically and numerically. The model is useful when a high percentage of unreported cases is suspected, hence only hospitalization data are used to fit the model parameters and calculate the basic reproductive number R and the effective reproductive number R. As a case study, the model is used to study the initial surge and the Omicron wave of the COVID-19 epidemic in Belgium.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Geneis (Beijing) Co. Ltd., Beijing 100102, China.
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.
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