The effect of selection acting on regions of the genome on the accuracy of species-level phylogenetic inference using methods that do not explicitly model selection is an open question that is relevant to most, if not all, phylogenomic studies. To address this, we derive a mathematical approximation to the Wright-Fisher model with mutation and selection in the limit as the population size becomes large. In contrast to previous approximations based on diffusion processes, our approximation can be used to study the distribution of coalescent times for an arbitrary number of lineages, allowing calculation of the probability distribution of gene genealogies under the coalescent model. We use these calculations to show that direct selection at strengths typically encountered in practice has only a small effect on the distribution of coalescent times, and hence on the distribution of gene trees. This implies that many coalescent-based methods for estimating the species tree topology will be robust to the presence of selection in a subset of the underlying genes. Selection will, however, bias the estimation of speciation times, causing them to underestimate the true speciation times. Our model captures the effects of selection on the genealogies that generate the observed sequence data, but does not model selective pressures that act only on the subsequent sequences or that negatively impact gene tree estimation.
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http://dx.doi.org/10.1016/j.ympev.2022.107650 | DOI Listing |
Anal Methods
January 2025
School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Near-infrared (NIR) spectroscopy, with its advantages of non-destructive analysis, simple operation, and fast detection speed, has been widely applied in various fields. However, the effectiveness of current spectral analysis techniques still relies on complex preprocessing and feature selection of spectral data. While data-driven deep learning can automatically extract features from raw spectral data, it typically requires large amounts of labeled data for training, limiting its application in spectral analysis.
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MS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2, H-1117 Budapest, Hungary.
In recent years, alternative enzymes with varied specificities have gained importance in MS-based bottom-up proteomics, offering orthogonal information about biological samples and advantages in certain applications. However, most mass spectrometric workflows are optimized for tryptic digests. This raises the questions of whether enzyme specificity impacts mass spectrometry and if current methods for nontryptic digests are suboptimal.
View Article and Find Full Text PDFAm J Cancer Res
December 2024
Division of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Institute of Public Health, Florida A&M University Tallahassee, FL 32307, The United States.
The tumor immune microenvironment (TIME) plays a critical role in cancer development and response to immunotherapy. Immune checkpoint inhibitors aim to reverse the immunosuppressive effects of the TIME, but their success has been limited. Immunotherapy directed at PD-1/PD-L1 has been widely employed, yielding positive results.
View Article and Find Full Text PDFAm J Cancer Res
December 2024
Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University Suzhou 215006, Jiangsu, China.
Resistance to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) is the main cause of mortality in lung cancer. This study aimed to investigate the roles of neuropilin 1 (NRP1) in non-small cell lung cancer (NSCLC). NRP1 expression was assessed in tumor tissues from patients with osimertinib-resistant (OR) NSCLC and osimertinib-responsive NSCLC as well as in patients with paracancerous NSCLC tissues who did not undergo radiotherapy or chemotherapy.
View Article and Find Full Text PDFAm J Cancer Res
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Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University Hangzhou 310003, Zhejiang, China.
Esophageal squamous cell carcinoma (ESCC), the most predominant subtype of esophageal cancer, is notorious for its high lymph node metastatic potential and poor prognosis. Growing evidence has demonstrated crucial function of circRNAs in human malignancies. However, the knowledge of circRNAs in lymph node metastasis of ESCC is still inadequate.
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