The most paradigmatic examples of molecular evolution under positive selection involve genes related to the immune system. Recently, different chloroplastic factors have been shown to be important for plant defenses, among them, the α- and β-subunits of the ATP synthase. The β-subunit has been reported to interact with several viral proteins while both proteins have been implicated with sensitivity to tentoxin, a phytotoxin produced by the widespread fungus Alternaria alternata. Given the relation of both protein to virulence factors, we studied whether these proteins are evolving under positive selection. To this end, we used the dN/dS ratio to examine possible sites under positive selection in several Angiosperm clades. After examining 79 plant genera and 1232 species, we found three times more sites under pervasive diversifying selection in the N-terminal region of the β-subunit compared to the α-subunit, supporting previous results which identified this region as responsible for interacting with viral proteins. Moreover, we found the site 83 of β-subunit under positive selection in several plant genera, a site clearly related to the sensitivity to tentoxin according to biochemistry assays, which possibly reflects the selective pressure of the non-host specific tentoxin across various Angiosperm clades.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00239-020-09968-8 | DOI Listing |
Land use change can significantly alter the proportion of soil aggregates, thereby influencing aggregate stability and distribution of soil organic carbon (SOC). However, there is minimal research on the variations in the distribution of soil aggregates, aggregate stability, and SOC in soil aggregates following land use change from farmland (FL) to forest and grassland in the Loess Plateau region of China. Select six land use patterns (farmland (FL), abandoned cropland (ACL), Medicago sativa (MS), natural grassland (NG), Picea asperata Mast.
View Article and Find Full Text PDFBAY 2413555 is a novel selective and reversible positive allosteric modulator of the type 2 muscarinic acetylcholine (M2) receptor, aimed at enhancing parasympathetic signaling and restoring cardiac autonomic balance for the treatment of heart failure (HF). This study tested the safety, tolerability and pharmacokinetics of this novel therapeutic option. REMOTE-HF was a multicenter, double-blind, randomized, placebo-controlled, phase Ib dose-titration study with two active arms.
View Article and Find Full Text PDFEndocrinology
November 2024
Laboratory of Neurophysiology, Multidisciplinary Institute of Cell Biology [IMBICE; Argentine Research Council (CONICET); Scientific Research Commission, Province of Buenos Aires (CIC-PBA); National University of La Plata], B1906APO La Plata, Buenos Aires, Argentina.
The GH secretagogue receptor (GHSR) and the glucagon-like peptide-1 receptor (GLP-1R) are G protein-coupled receptors with critical, yet opposite, roles in regulating energy balance. Interestingly, these receptors are expressed in overlapping brain regions. However, the extent to which they target the same neurons and engage in molecular crosstalk remains unclear.
View Article and Find Full Text PDFSmall Methods
December 2024
Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City, Fuzhou, 350207, China.
3D covalent-organic framework (3D COF) membranes have unique features such as smaller pore sizes and more interconnected networks compared with 2D COF counterparts. However, the complicated and unmanageable fabrication hinders their rapid development. Molecular simulation, which can efficiently explore the structure-performance relationship of membranes, holds great promise in accelerating the development of 3D COF membranes.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Microbiology and Immunology, University at Buffalo, The State University of New York, 955 Main Street, Buffalo, New York, NY 14203, United States.
Network-based methods utilize protein-protein interaction information to identify significantly perturbed subnetworks in cancer and to propose key molecular pathways. Numerous methods have been developed, but to date, a rigorous benchmark analysis to compare the performance of existing approaches is lacking. In this paper, we proposed a novel benchmarking framework using synthetic data and conducted a comprehensive analysis to investigate the ability of existing methods to detect target genes and subnetworks and to control false positives, and how they perform in the presence of topological biases at both gene and subnetwork levels.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!