Phylogeny and characteristics of ruminants: Ruminants are a diverse group of mammals that includes families containing well-known taxa such as deer, cows, and goats. However, their evolutionary relationships have been contentious, as have the origins of their distinctive digestive systems and headgear, including antlers and horns (see the Perspective by Ker and Yang). To understand the relationships among ruminants, L. Chen et al. sequenced 44 species representing 6 families and performed a phylogenetic analysis. From this analysis, they were able to resolve the phylogeny of many genera and document incomplete lineage sorting among major clades. Interestingly, they found evidence for large population reductions among many taxa starting at approximately 100,000 years ago, coinciding with the migration of humans out of Africa. Examining the bony appendages on the head—the so-called headgear—Wang et al. describe specific evolutionary changes in the ruminants and identify selection on cancer-related genes that may function in antler development in deer. Finally, Lin et al. take a close look at the reindeer genome and identify the genetic basis of adaptations that allow reindeer to survive in the harsh conditions of the Arctic. Science , this issue p. eaav6202 , p. eaav6335 , p. eaav6312 ; see also p. 1130

Fecal microbiota transplantation (FMT) is a potential treatment for many intestinal diseases. In dogs, FMT has been shown to have positive regulation effects in treating Clostridioides difficile infection (CDI), inflammatory bowel disease (IBD), canine parvovirus (CPV) enteritis, acute diarrhea (AD), and acute hemorrhagic diarrhea syndrome (AHDS). FMT involves transplanting the functional components of a donor’s feces into the gastrointestinal tract of the recipient. The effective components of FMT not only include commensal bacteria, but also include viruses, fungi, bacterial metabolites, and immunoglobulin A (IgA) from the donor feces. By affecting microbiota and regulating host immunity, these components can help the recipient to restore their microbial community, improve their intestinal barrier, and induce anti-inflammation in their intestines, thereby affecting the development of diseases. In addition to the above components, mucin proteins and intestinal epithelial cells (IECs) may be functional ingredients in FMT as well. In addition to the abovementioned indications, FMT is also thought to be useful in treating some other diseases in dogs. Consequently, when preparing FMT fecal material, it is important to preserve the functional components involved. Meanwhile, appropriate fecal material delivery methods should be chosen according to the mechanisms these components act by in FMT.

In recent years, dental implants have become a trend in the treatment of human patients with missing teeth, which may also be an acceptable method for companion animal dentistry. However, there is a gap challenge in determining appropriate implant sizes for different dog breeds and human. In this study, we utilized skull computed tomography data to create three-dimensional models of the mandibles of dogs in different sizes. Subsequently, implants of various sizes were designed and subjected to biomechanical finite element analysis to determine the optimal implant size. Regression models were developed, exploring the relationship between the average weight of dogs and the size of premolar implants. Our results illustrated that the regression equations for mean body weight (x, kg) and second premolar (PM2), third premolar (PM3), and fourth premolar (PM4) implant length (y, mm) in dogs were: y = 0.2785x + 7.8209, y = 0.2544x + 8.9285, and y = 0.2668x + 10.652, respectively; the premolar implant diameter (mm) y = 0.0454x + 3.3506, which may provide a reference for determine suitable clinical implant sizes for dogs.

Introduction: Guided endodontics represents an effective method for achieving safe and reliable endodontic surgery in human medicine. However, it is rarely employed in small animal dentistry. This study employed finite element analysis and three-dimensional (3D) printing techniques to explore the feasibility of guided endodontics in Beagle mandibular teeth.Methods: The methodology included the processing of Computed Tomography (CT) data, the creation of mathematical and 3D printing templates of the root canal pathways, and the evaluation of dog 3D printing guided endodontics compared with classic root canal method using radiograph.Results: In this experiment, the coordinates of the central point of pulp crown and apex point for each tooth were recorded. Based on the extension line of the central point of dental root canal orifice and the apex point, guided endodontic templates were designed on each root canal of 20 teeth in the Beagle mandible. Among them, the average relative deviation of guided endodontics and classic root canal method was 4.28% ± 2.75%, and the mean angular deviation was 1.90 ± 0.25°.Discussion: Our research indicated that dog 3D printing guided endodontics has accurate position, direction, and length, which may assist veterinary dentistry in root canal treatment in small animals.

Musk, a dried secretion from the sac gland near the urethral foramen of adult male forest musk deer (Moschus berezovskii), has significant economic value and is extensively utilized as a valuable component in traditional Chinese medicine. In the practice of forest musk deer breeding, musk with different colors and varying moisture contents is observed during the season when the musk reaches maturity. For many years, researchers have focused mainly on musk composition and symbiotic bacteria. However, the influence of fecal fungi on the production and quality of musk is unknown. In this study, internal transcribed spacer (ITS) analysis was employed to explore the relationships between the fungal composition of musk deer fecal and the quality and production of musk produced by each individual. The results indicate that fungal genera known to cause diseases, such as Colletotrichum and Apiotrichum, are prevalent in the feces of musk deer that produce abnormal musk. Furthermore, the fecal microbiota health index (GMHI) is lower and the intestinal microbiota dysbiosis index (MDI) is greater in musk deer producing white musk than in normal individuals. Additionally, by correlating musk production with fecal fungi, we also found that Dolichousnea and Scolecoleotia were significantly positively correlated with musk production. Moreover, Metschnikowia, Ganodermataceae_gen_Incertae_sedis, Hypoxylon, Neovaginatispora, Didymella, Dothidea, and Trichoderma were negatively correlated with musk production. This study is the first to investigate gut fungi in relation to musk production/quality, establish gut health and fungal dysbiosis links, and identify candidate fungi tightly associated with musk traits. This exploratory approach is critical for exploring uncharted territories like gut fungi in musk deer and musk traits.

Background/Objectives: Musk is a widely used traditional Chinese medicine derived from musk deer that has the pharmacological effects of “activating blood dredging collateral” and “consciousness-restoring resuscitation”. Its volatile compounds (VCs) play a key role in these effects, especially in the treatment of stroke. However, there have been no comprehensive studies on the differences in the VCs of these different musks. This study investigated the differences in the VCs of different musks and the potential targets and mechanisms of action for stroke. Methods: Different musks were studied via GC–MS, and the potential targets and mechanisms of VCs associated with stroke were investigated using network pharmacology. Results: A total of 99 VCs were detected in 79 musk samples. The most important VCs of different colours and forms were muscone, phenol, acetic acid, and isovaleric acid. Further study revealed that the change in organic acids and ketones was the cause of the significant difference between white musk and other types of musk. In addition, network pharmacological analyses identified 180 potential targets of the major volatile compounds of musk associated with stroke, and five key targets (SRC, EGFR, ESR1, PTGS2, and DRD2). Enrichment analysis showed that these key targets play an important role in neural related pathways. The molecular docking results confirmed that the key targets can effectively bind with the main VCs (muscone and phenol). Conclusions: These findings provide valuable insights into the distinct volatile compositions of various types of musk and underscore the significant potential of volatile compounds (VCs) in stroke treatment.