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Recently, it has been suggested that internal transcribed spacer (ITS) sequences are under selective constraints to preserve their secondary structure. Here, we investigate the patterns of the ITS nucleotide and secondary structure conservation across the Passiflora L. genus to evaluate the potential use of secondary structure data as a helpful tool for the alignment in taxonomically complex genera. Considering the frequent use of ITS, this study also presents a perspective on future analyses in other plant groups. The ITS1 and ITS2 sequences presented significant differences for mean values of the lowest energy state (LES) and for number of hairpins in different Passiflora subgenera. Statistical analyses for the subgenera separately support significant differences between the LES values and the total number of secondary structures for ITS. In order to evaluate whether the LES values of ITS secondary structures were related to selective constraints, we compared these results among 120 ITS sequences from Passiflora species and 120 randomly generated sequences. These analyses indicated that Passiflora ITS sequences present characteristics of a region under selective constraint to maintain the secondary structure showing to be a promising tool to improve the alignments and identify sites with non-neutral substitutions or those correlated evolutionary steps.
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http://dx.doi.org/10.1590/1678-4685-GMB-2016-0042 | DOI Listing |
J Bacteriol
September 2025
Wadsworth Center, New York State Department of Health, Albany, New York, USA.
Prokaryotic genomes are gene-dense, so genes in the same orientation are often separated by short intergenic sequences or even overlap. Many mechanisms of regulation depend on open reading frames (ORFs) being spatially close to one another. Here, we describe one such mechanism, translational coupling, where translation of one gene promotes translation of a co-oriented neighboring gene.
View Article and Find Full Text PDFFront Surg
August 2025
Department of Orthopedics, The First Hospital of Jilin University, Changchun, Jilin, China.
Background: Acetabular reconstruction is often challenging in revision hip arthroplasty, especially in the face of moderate to severe acetabular bone deficiency. In some severe bone defects, double-metal tantalum cups can improve the contact area between bone and implants, increase the surface area for bone ingrowth, and better restore the anatomical position of the acetabulum. Furthermore, with a good press-fit, the auxiliary screw has a minimal effect on acetabular cup stability.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Department Soil Science and Environmental Analyses, Institute of Soil Science and Plant Cultivation-State Research Institute, Puławy, Poland.
Introduction: Soil dissolved organic matter (DOM) regulates nutrient cycling and carbon sequestration, yet how cropping systems (rotation vs. monoculture) shape the vertical distribution and molecular traits of DOM remains unclear.
Methods: We leveraged a long-term experiment (est.
Cureus
August 2025
Dental and Oral Medical Center, Kurume University School of Medicine, Kurume, JPN.
Functional reconstruction of large mandibular defects, especially in young patients, presents a significant clinical challenge. The ideal approach should not only restore skeletal contour but also address nerve deficits and facilitate final occlusal rehabilitation, all while minimizing morbidity. This report describes a comprehensive, multi-staged strategy for such a case.
View Article and Find Full Text PDFMach Learn Health
December 2025
Medical Artificial Intelligence and Automation Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
Online adaptive radiation therapy (ART) personalizes treatment plans by accounting for daily anatomical changes, requiring workflows distinct from conventional radiotherapy. Deep learning-based dose prediction models can enhance treatment planning efficiency by rapidly generating accuracy dose distributions, reducing manual trial-and-error and accelerating the overall workflow; however, most existing approaches overlook critical pre-treatment plan information-specifically, physician-defined clinical objectives tailored to individual patients. To address this limitation, we introduce the multi-headed U-Net (MHU-Net), a novel architecture that explicitly incorporates physician intent from pre-treatment plans to improve dose prediction accuracy in adaptive head and neck cancer treatments.
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