In this study, we characterized for the first time the gut microbiota of Greylag geese (Anser anser) using high-throughput 16S rRNA gene sequencing technology. The results showed that the phyla Firmicutes (78.55%), Fusobacteria (9.38%), Proteobacteria (7.55%), Bacteroidetes (1.82%), Cyanobacteria (1.44%), and Actinobacteria (0.61%) dominated the gut microbial communities in the Greylag geese. Then, the variations of gut microbial community structures and functions among the three geese species, Greylag geese, Bar-headed geese (Anser indicus), and Swan geese (Anser cygnoides), were explored. The greatest gut microbial diversity was found in Bar-headed geese group, while other two groups had the least. The dominant bacterial phyla across all samples were Firmicutes and Proteobacteria, but several characteristic bacterial phyla and genera associated with each group were also detected. At all taxonomic levels, the microbial community structure of Swan geese was different from those of Greylag geese and Bar-headed geese, whereas the latter two groups were less different. Functional KEGG categories and pathways associated with carbohydrate metabolism, energy metabolism, and amino acid metabolism were differentially expressed among different geese species. Taken together, this study could provide valuable information to the vast, and yet little explored, research field of wild birds gut microbiome.
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Sci Rep
December 2024
School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India.
The Internet of Things (IoT) network is a fast-growing technology, which is efficiently used in various applications. In an IoT network, the massive amount of connecting nodes is the existence of day-to-day communication challenges. The platform of IoT uses a cloud service as a backend for processing information and maintaining remote control.
View Article and Find Full Text PDFPoult Sci
December 2024
Hungarian University of Agriculture and Life Sciences, Buda Campus, Institute of Food Science and Technology, Department of Livestock Product and Food Preservation Technology, Hungary.
The aim of this study was to investigate the effect of watering before slaughter and different evisceration methods on the quality characteristics of fattened goose liver. A total of randomly selected 60 male Greylag Landaise geese (Anser anser) were used to execute the experiment which had been force-fed during their growing period. In the slaughterhouse, randomized block design was followed and the birds were randomly divided into four experimental groups and half of the them (30 birds) were given 200 ml tap water.
View Article and Find Full Text PDFSci Rep
October 2024
Department of Computer Science, Faculty of Computers and Information, Suez University, P.O.BOX:43221, Suez, Egypt.
Lung cancer is an important global health problem, and it is defined by abnormal growth of the cells in the tissues of the lung, mostly leading to significant morbidity and mortality. Its timely identification and correct staging are very important for proper therapy and prognosis. Different computational methods have been used to enhance the precision of lung cancer classification, among which optimization algorithms such as Greylag Goose Optimization (GGO) are employed.
View Article and Find Full Text PDFWater Environ Res
October 2024
Department of ECE, S. A. Engineering College, Chennai, India.
The world's freshwater supply, predominantly sourced from rivers, faces significant contamination from various economic activities, confirming that the quality of river water is critical for public health, environmental sustainability, and effective pollution control. This research addresses the urgent need for accurate and reliable water quality monitoring by introducing a novel method for estimating the water quality index (WQI). The proposed approach combines cutting-edge optimization techniques with Deep Capsule Crystal Edge Graph neural networks, marking a significant advancement in the field.
View Article and Find Full Text PDFVet Parasitol Reg Stud Reports
June 2024
CIISA - Centre for Interdisciplinary Research in Animal Health, Faculty of Veterinary Medicine, University of Lisbon, Portugal and Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), Lisboa, Portugal. Electronic address:
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