Overall, the two sampled production settings harbored compositionally distinct gut microbiota and predicted resistance-associated profiles, and these predictions do not demonstrate antimicrobial resistance gene carriage, genomic location, or phenotypic resistance.
Abstract
This study compared the gut microbiota of Thai Indigenous Pradu Hang Dam (PD) chickens and commercial broiler chickens (CC) raised on separate farms under distinct diets and management systems. Cecal contents from 14 PD birds sampled at 16 weeks of age and 15 CC birds sampled at 45 days of age were profiled using 16S rRNA gene sequencing. Alpha-diversity metrics did not differ significantly between groups, whereas beta-diversity analyses showed clear differences in community composition. PD chickens showed broader taxonomic representation and a lower Firmicutes-to-Bacteroidota (F/B) ratio than CC chickens. Several taxa previously associated with short-chain fatty acid production were enriched in PD chickens, although potentially pathogenic taxa were also more abundant in this group. Predicted resistance-associated functional profiles were inferred from the 16S data using PICRUSt2. The two groups showed distinct predicted profiles: aggregate aminoglycoside-associated abundance was slightly higher in CC chickens, whereas several other functional categories were higher in PD chickens; individual aminoglycoside-associated functions varied in direction. These predictions do not demonstrate antimicrobial resistance gene carriage, genomic location, or phenotypic resistance. Overall, the two sampled production settings harbored compositionally distinct gut microbiota and predicted resistance-associated profiles. As breed, age, diet, farm, and management were confounded, multi-farm studies incorporating antimicrobial-use histories and direct metagenomic and phenotypic validation are needed to identify the drivers and functional consequences of these differences.
The aim of this study was to investigate the temporal dynamics and inter-breed differences of fecal microbiota in two indigenous chicken breeds from Guizhou during the early post-hatch period. Six hundred chicks, including 300 Guizhou yellow chickens (GY) and 300 Changshun green-shell egg chickens (CG), were reared und...
Zheng-Dong Wang, Qian Xiao, Meng-Yuan Wang et al.· Poultry Science· 0 citations
Introduction The lactating Xinjiang Junggar camel is a major dairy breed with excellent milk production performance. In northern Xinjiang, camels are mainly reared under traditional grazing, while those in southern Xinjiang are raised under barn feeding due to grassland scarcity. Methods Nine lactating camels aged 6–7...
Huai-Bing Yao, Aerman Haire, Zhi Wang et al.· Frontiers in Veterinary Scie...· 0 citations
A foundational baseline of the camel farm environmental microbiome in Xinjiang is established, informing targeted hygiene interventions and future studies investigating environmental contributions to raw camel milk quality.
Ya-Ting Wu, Shuai Wang, Xian-Lan Ma et al.· Frontiers in Microbiology· 0 citations
Taxonomic assignments and carbohydrate-utilization-related gene profiles from the rumen to the colon in growing water buffaloes in growing male water buffaloes are characterized.
Jing-Jing Wen, Jia-Jie Huang, Gui-Xian Liu et al.· Microorganisms· 0 citations
ABSTRACT Diet composition shapes gut microbiota, influencing nutrient utilization, health, and growth. The shift toward sustainable ingredients such as soybean meal (SB) and seaweed (SW) requires an understanding of their effects on the gut microbiota. This study investigated how SB and SW diets modulate gut microbiota...
Leonildo dos Anjo Viagem, J. Hakizimana, Cyrus Rumisha et al.· MicrobiologyOpen· 0 citations
ABSTRACT The gut microbiota of Asian elephants plays a critical role in their health and habitat adaptation. This study compared the gut microbiota of two wild Asian elephant populations in Jiangcheng (JC) and Liushun (LS), Yunnan, China. Significant differences in microbial structure, diversity, and function were foun...
Jing Zheng, Jiu-Xuan Zhou, Xia Liu et al.· Ecology and Evolution· 0 citations
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