Chromosomal inversions are increasingly found to differentiate locally adapted populations. This adaptive role is predictable because reduced recombination protects allelic combinations from gene flow. However, we are far from understanding how frequently inversions contribute to local adaptation and how widespread this phenomenon is across species. In a "From the Cover" article in this issue of Molecular Ecology, Huang, Andrew, Owens, Ostevik, and Rieseberg (2020) provide an important step towards this goal not only by finding adaptive inversions in a sunflower ecotype, but also by reversing the approach used to investigate the link between adaptation and inversions. Most studies compare two phenotypes and uncover divergence at a few regions, of which some can subsequently be identified as inversions. In contrast, Huang et al first catalogue putative inversions and then test genotype-environment associations, which allows them to ask systematically whether inversions may be adaptive and in which ecological contexts. They achieve that by revisiting a previous reduced-representation sequencing (RAD-sequencing) data set, demonstrating the suitability of this method to detect inversions in species with limited genomic resources. As such, Huang et al pave the way for a better understanding of the evolutionary role of structural genomic variation and highlight that accounting for inversions in population genomics is now possible, and much needed, in a wider range of organisms.
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http://dx.doi.org/10.1111/mec.15500 | DOI Listing |
Medicine (Baltimore)
January 2025
Reproductive Medicine Center, Yulin Maternal and Child Health Care Hospital, Yulin, Guangxi, China.
Rationale: This study investigates the genetic cause of primary infertility and short stature in a woman, focusing on maternal X chromosome pericentric inversion and its impact on offspring genetic outcomes, including deletions at Xp22.33 and Xp22.33p11.
View Article and Find Full Text PDFJ Magn Reson Imaging
January 2025
Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway.
Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.
Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.
J Magn Reson Imaging
January 2025
Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Background: Central arterial stiffening is associated with brain white matter (WM) damage and gray matter (GM) volume loss in older adults, but little is known about this association from an adult lifespan perspective.
Purpose: To investigate the associations of central arterial stiffness with WM microstructural organization, WM lesion load, cortical thickness, and GM volume in healthy adults across the lifespan.
Study Type: This is a cross-sectional study.
Neurosurgery
January 2025
Department of Neurosurgery, Komaki City Hospital, Komaki, Aichi, Japan.
Background And Objectives: Transient neurological deficits (TNDs) in patients with chronic subdural hematoma (CSDH), such as fluctuating aphasia, hemiparesis, or sensory disturbances, present diagnostic and treatment challenges as their pathophysiology remains unclear. The aim of this study was to investigate the association between specific MRI findings and TNDs in patients with CSDH and explored their relationship through intraoperative observation.
Methods: We retrospectively evaluated 72 patients with CSDH who underwent preoperative MRI among 251 CSDH patients treated from January 2020 to December 2023.
J Surg Case Rep
January 2025
Department of Neurological Surgery, Nippon Medical School Hospital, Tokyo, Japan.
We report a case of distal anterior cerebral artery (DACA) aneurysm presenting with subdural hematoma (SDH) without subarachnoid hemorrhage (SAH). A patient in his fifties presented with headache. Fluid-attenuated inversion recovery magnetic resonance imaging revealed SDH in the interhemispheric fissure and left frontotemporal region.
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