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Phylogenomic data are revolutionizing the field of insect phylogenetics. One of the most tenable and cost-effective methods of generating phylogenomic data is target enrichment, which has resulted in novel phylogenetic hypotheses and revealed new insights into insect evolution. Orthoptera is the most diverse insect order within polyneoptera and includes many evolutionarily and ecologically interesting species. Still, the order as a whole has lagged behind other major insect orders in terms of transitioning to phylogenomics. In this study, we developed an Orthoptera-specific target enrichment (OR-TE) probe set from 80 transcriptomes across Orthoptera. The probe set targets 1828 loci from genes exhibiting a wide range of evolutionary rates. The utility of this new probe set was validated by generating phylogenomic data from 36 orthopteran species that had not previously been subjected to phylogenomic studies. The OR-TE probe set captured an average of 1037 loci across the tested taxa, resolving relationships across broad phylogenetic scales. Our detailed documentation of the probe design and bioinformatics process is intended to facilitate the widespread adoption of this tool.
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http://dx.doi.org/10.1038/s41598-024-72622-6 | DOI Listing |
Nucleic Acids Res
September 2025
Ohio State Biochemistry Graduate Program, The Ohio State University, Columbus, OH 43210, United States.
Nucleosome repositioning is essential for establishing nucleosome-depleted regions to initiate transcription. This process has been extensively studied using structural, biochemical, and single-molecule approaches, which require homogeneously positioned nucleosomes. This is often achieved using the Widom 601 sequence, a highly efficient nucleosome-positioning element (NPE) selected for its unusually strong binding to the H3-H4 histone tetramer.
View Article and Find Full Text PDFBackground: To improve the molecular diagnostic yield for Aspergillus spp. from respiratory samples, we developed and evaluated a new DNA extraction method directly from respiratory samples combined with in-house Aspergillus real-time PCR.
Methods: We developed a method using beads and resin, where a sample is centrifuged to separate the supernatant and pellet.
Nano Lett
September 2025
Department of Physics and Astronomy, University of Nebraska─Lincoln, Lincoln, Nebraska 68588, United States.
In this study, using a set of scanning probe microscopy techniques, we investigate the electronic properties of the domain walls in the layered ferroelectric semiconductor of the transition metal oxide dihalide family, NbOI. Although the uniaxial ferroelectricity of NbOI allows only 180° domain walls, the pristine 2D flakes, where polarization is aligned in-plane, typically exhibit a variety of as-grown domain patterns outlined by the electrically neutral and charged domain walls. The electrically biased probing tip can modify the as-grown domain structures.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
September 2025
Department of Rhythmology, University Heart Center Lübeck, University Hospital Schleswig-Holstein, Ratzeburger Allee 160, Lübeck, 23652, Germany.
Purpose: Ultrasound (US) is commonly used to assess left ventricular motion for examination of heart function. In stereotactic arrhythmia radioablation (STAR) therapy, managing cardiorespiratory motion during radiation delivery requires representation of motion information in computed tomography (CT) coordinates. Similar to conventional US-guided navigation during surgical procedures, 3D US can provide real-time motion data of the radiation target that could be transferred to CT coordinates and then be accounted for by the radiation system.
View Article and Find Full Text PDFJ Biol Chem
September 2025
Chemical Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Pharmacology, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA. Electronic address:
Mevalonate is a precursor for essential metabolites, such as isoprenoids and sterols. Its synthesis starts with HMGCS1 producing HMG-CoA, which is then converted to mevalonate by HMGCR, a target of statins. Cancer cells often upregulate enzymes in the mevalonate pathway (MVP) to meet their metabolic demands, leading to the development of inhibitors targeting several enzymes in this pathway.
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