Comparison of Gut Microbial Diversity in Beijing Oil and Arbor Acres Chickens

Chen, Zhi Min; Chang, Wen Ho; Zheng, AJ; Zhang, S; Cai, HY; Liu, GH

doi:10.1590/1806-9061-2017-0549

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…Further findings indicated that the higher ratio of Firmicutes and Bacteroidetes can induce fat deposition (Ley et al ., 2006 ; Compare et al ., 2016 ; Koliada et al ., 2017 ; Indiani et al ., 2018 ). In addition, recent studies described Sphingomonas as an abundant bacterium in the gut microbiota of chicken (Chen et al ., 2018a ; Li et al ., 2020b ). Another study reported that sphingolipids from Sphingomonas could control different cellular processes, that is migration, apoptosis and proliferation (Bryan et al ., 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Caecal microbiota could effectively increase chicken growth performance by regulating fat metabolism

Zhang

Ansari

et al. 2021

Microbial Biotechnology

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It has been established that gut microbiota influences chicken growth performance and fat metabolism. However, whether gut microbiota affects chicken growth performance by regulating fat metabolism remains unclear. Therefore, seven-week-old chickens with high or low body weight were used in the present study. There were significant differences in body weight, breast and leg muscle indices, and cross-sectional area of muscle cells, suggesting different growth performance. The relative abundance of gut microbiota in the caecal contents at the genus level was compared by 16S rRNA gene sequencing. The results of LEfSe indicated that high body weight chickens contained Microbacterium and Sphingomonas more abundantly (P < 0.05). In contrast, low body weight chickens contained Slackia more abundantly (P < 0.05). The results of H & E, qPCR, IHC, WB and blood analysis suggested significantly different fat metabolism level in serum, liver, abdominal adipose, breast and leg muscles between high and low body weight chickens. Spearman correlation analysis revealed that fat metabolism positively correlated with the relative abundance of Microbacterium and Sphingomonas while negatively correlated with the abundance of Slackia. Furthermore, faecal microbiota transplantation was performed, which verified that transferring faecal microbiota from adult chickens with high body weight into oneday-old chickens improved growth performance and fat metabolism in liver by remodelling the gut microbiota. Overall, these results suggested that gut microbiota could affect chicken growth performance by regulating fat metabolism.

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Section: Discussionmentioning

confidence: 99%

Caecal microbiota could effectively increase chicken growth performance by regulating fat metabolism

Zhang

Ansari

et al. 2021

Microbial Biotechnology

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“…Microbial diversity present in the environment is recognized increasingly for its important and varied roles in the health of ecosystems (Chen et al, 2018;Nottingham et al, 2018;Pike et al, 2018), particularly in the face of a changing climate (Cavicchioli et al, 2019). Unsurprisingly, a great deal of focus has been on quantifying biodiversity-the number, identity, and functions of species (Gotelli and Colwell, 2001;Faith, 2002;Barlow et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Whole Genome Shotgun Sequencing Detects Greater Lichen Fungal Diversity Than Amplicon-Based Methods in Environmental Samples

Keepers¹,

Pogoda²,

White³

et al. 2019

Front. Ecol. Evol.

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In this study we demonstrate the utility of whole genome shotgun (WGS) metagenomics in study organisms with small genomes to improve upon amplicon-based estimates of biodiversity and microbial diversity in environmental samples for the purpose of understanding ecological and evolutionary processes. We generated a database of full-length and near-full-length ribosomal DNA sequence complexes from 273 lichenized fungal species and used this database to facilitate fungal species identification in the southern Appalachian Mountains using low coverage WGS at higher resolution and without the biases of amplicon-based approaches. Using this new database and methods herein developed, we detected between 2.8 and 11 times as many species from lichen fungal propagules by aligning reads from WGS-sequenced environmental samples compared to a traditional amplicon-based approach. We then conducted complete taxonomic diversity inventories of the lichens in each one-hectare plot to assess overlap between standing taxonomic diversity and diversity detected based on propagules present in environmental samples (i.e., the "potential" of diversity). From the environmental samples, we detected 94 species not observed in organism-level sampling in these ecosystems with high confidence using both WGS and amplicon-based methods. This study highlights the utility of WGS sequence-based approaches in detecting hidden species diversity and demonstrates that amplicon-based methods likely miss important components of fungal diversity. We suggest that the adoption of this method will not only improve understanding of biotic constraints on the distributions of biodiversity but will also help to inform important environmental policy.

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Dietary Bacillus licheniformis shapes the foregut microbiota, improving nutrient digestibility and intestinal health in broiler chickens

Han

Wang

et al. 2023

Front. Microbiol.

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Bacillus licheniformis is considered a potential alternative to antibiotic growth promoters of animal growth and health. However, the effects of Bacillus licheniformis on the foregut and hindgut microbiota, and their relationships with nutrient digestion and health, in broiler chickens remain unclear. In this study, we aimed to identify the effects of Bacillus licheniformis BCG on intestinal digestion and absorption, tight junctions, inflammation, and the fore- and hind-gut microbiota. We randomly assigned 240 1-day-old male AA broilers into three treatment groups: CT (basal diet), BCG1 (basal diet + 1.0 × 108 CFU/kg B. licheniformis BCG), and BCG2 (basal diet + 1.0 × 109 CFU/kg B. licheniformis BCG). On day 42, the jejunal and ileal chyme and mucosa were subjected to analysis of digestive enzyme activity, nutrient transporters, tight junctions, and signaling molecules associated with inflammation. The ileal and cecal chyme were subjected to microbiota analysis. Compared with the CT group, the B. licheniformis BCG group showed significantly greater jejunal and ileal α-amylase, maltase, and sucrase activity; moreover, the α-amylase activity in the BCG2 group was higher than that in the BCG1 group (P < 0.05). The transcript abundance of FABP-1 and FATP-1 in the BCG2 group was significantly greater than that in the CT and BCG1 groups, and the GLUT-2 and LAT-1 relative mRNA levels were greater in the BCG2 group than the CT group (P < 0.05). Dietary B. licheniformis BCG resulted in significantly higher ileal occludin, and lower IL-8 and TLR-4 mRNA levels than observed in the CT group (P < 0.05). B. licheniformis BCG supplementation significantly decreased bacterial community richness and diversity in the ileum (P < 0.05). Dietary B. licheniformis BCG shaped the ileac microbiota by increasing the prevalence of f_Sphingomonadaceae, Sphingomonas, and Limosilactobacillus, and contributed to nutrient digestion and absorption; moreover, it enhanced the intestinal barrier by increasing the prevalence of f_Lactobacillaceae, Lactobacillus, and Limosilactobacillus. Dietary B. licheniformis BCG decreased microbial community diversity by diminishing Desulfovibrio, Alistipes, Campylobacter, Vibrio, Streptococcus, and Escherichia coli-Shigella levels, and down-regulating inflammatory associated molecule expression. Therefore, dietary B. licheniformis BCG contributed to digestion and absorption of nutrients, enhanced the intestinal physical barrier, and decreased intestinal inflammation in broilers by decreasing microbial diversity and optimizing the microbiota structure.

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Comparison of Gut Microbial Diversity in Beijing Oil and Arbor Acres Chickens

Cited by 3 publications

References 25 publications

Caecal microbiota could effectively increase chicken growth performance by regulating fat metabolism

Caecal microbiota could effectively increase chicken growth performance by regulating fat metabolism

Whole Genome Shotgun Sequencing Detects Greater Lichen Fungal Diversity Than Amplicon-Based Methods in Environmental Samples

Dietary Bacillus licheniformis shapes the foregut microbiota, improving nutrient digestibility and intestinal health in broiler chickens

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