Porcine proliferative enteropathy (PPE), an important infectious disease in pig production caused by an obligate intracellular bacterium Lawsonia intracellularis, is commonly associated with diarrhea and reduced weight gain in growing pigs widespread. An accurate method for detecting L. intracellularis is particularly important for preventing and controlling PPE. Heat shock protein 60 (Hsp60) is an immunodominant bacterial antigen found in all eukaryotic and prokaryotic organisms. Thus, the purpose of the current investigation was to produce a novel L. intracellularis Hsp60 monoclonal antibody (mAb) useful for immunodiagnostics. Three hybridomas secreted anti-Hsp60 termed 3E5, 4E2, and 9G6 were generated, and the titers of ascitic fluids of 3E5, 4E2, 9G6 were 1:1 024 000, 1:2 048 000 and 1:2 048 000, respectively. The Western blotting analysis demonstrated that recombinant Hsp60 (rHsp60) was recognized by mAbs 3E5, 4E2 and 9G6. Subsequently, analyses of specificity showed all the mAbs were highly specific to L. intracellularis while could not significantly react with other enteric bacteria commonly found in the ileum of pigs, such as Escherichia coli, Salmonella Choleraesuis, Salmonella Typhimurium, and Brachyspira hyodysenteriae. Furthermore, the mAbs were useful for detecting L. intracellularis in the infected monolayer cells and histological sections of the ileum from PPE-affected pigs. Our research will provide a foundation for the development of immunological diagnostic tests
Maize tassel detection is essential for future agronomic management in maize planting and breeding, with application in yield estimation, growth monitoring, intelligent picking, and disease detection. However, detecting maize tassels in the field poses prominent challenges as they are often obscured by widespread occlusions and differ in size and morphological color at different growth stages. This study proposes the SEYOLOX-tiny Model that more accurately and robustly detects maize tassels in the field. Firstly, the data acquisition method ensures the balance between the image quality and image acquisition efficiency and obtains maize tassel images from different periods to enrich the dataset by unmanned aerial vehicle (UAV). Moreover, the robust detection network extends YOLOX by embedding an attention mechanism to realize the extraction of critical features and suppressing the noise caused by adverse factors (e.g., occlusions and overlaps), which could be more suitable and robust for operation in complex natural environments. Experimental results verify the research hypothesis and show a mean average precision (mAP@0.5) of 95.0%. The mAP@0.5, mAP@0.5–0.95, mAP@0.5–0.95 (area=small), and mAP@0.5–0.95 (area=medium) average values increased by 1.5, 1.8, 5.3, and 1.7%, respectively, compared to the original model. The proposed method can effectively meet the precision and robustness requirements of the vision system in maize tassel detection.
Investigation of Aegilops umbellulata for stripe rust resistance, heading date, and the contents of iron, zinc, and gluten protein
Aegilops umbellulata (UU) is a wheat wild relative that has potential use in the genetic improvement of wheat. In this study, 46 Ae. umbellulata accessions were investigated for stripe rust resistance, heading date (HD), and the contents of iron (Fe), zinc (Zn), and seed gluten proteins. Forty-two of the accessions were classified as resistant to stripe rust, while the other four accessions were classified as susceptible to stripe rust in four environments. The average HD of Ae. umbellulata was significantly longer than that of three common wheat cultivars (180.9 d vs. 137.0 d), with the exception of PI226500 (138.9 d). The Ae. umbellulata accessions also showed high variability in Fe (69.74–348.09 mg kg–1) and Zn (49.83–101.65 mg kg–1) contents. Three accessions (viz., PI542362, PI542363, and PI554399) showed relatively higher Fe (230.96–348.09 mg kg–1) and Zn (92.46–101.65 mg kg–1) contents than the others. The Fe content of Ae. umbellulata was similar to those of Ae. comosa and Ae. markgrafii but higher than those of Ae. tauschii and common wheat. Aegilops umbellulata showed a higher Zn content than Ae. tauschii, Ae. comosa, and common wheat, but a lower content than Ae. markgrafii. Furthermore, Ae. umbellulata had the highest proportion of γ-gliadin among all the species investigated (Ae. umbellulata vs. other species=mean 72.11% vs. 49.37%; range: 55.33–86.99% vs. 29.60–67.91%). These results demonstrated that Ae. umbellulata exhibits great diversity in the investigated traits, so it can provide a potential gene pool for the genetic improvement of these traits in wheat.
Caprine arthritis-encephalitis virus (CAEV) is an under-studied virus infecting caprines and ovines worldwide. Over the last four decades, CAEV has spread in China, obtaining genomic data on CAEV strains circulating in China is of importance for developing diagnostic methods and eradicating associated diseases. However, there is limited information on the genome, including characterizations, and the probable origin. This work aimed to characterize Chinese CAEV genomes and population structures. Five CAEV strains isolated from infected dairy goats between 1989 and 1994 in Gansu, Guizhou, Shaanxi, Shandong and Sichuan provinces were cloned and sequenced. The Chinese CAEV had a 58–93% genome similarities to strains outside of China, and they belonged to subgenotype B1. The highest similarity levels (98.3–99.3%) were with two other Chinese strains, and they shared a 91.8–92.3% similarity with the strain Clements (GenBank accession no. NC_001463.1) from outside of China. The Chinese CAEV strains isolated from different provinces over five years were still highly homologous and contained unique ancestral population components, indicating that these Chinese strains had a common origin that differed from other known strains. Our results provide genomic data on circulating Chinese CAEV strains and will be useful for future epidemiological investigations and CAEV eradication programs.