In an attempt to increase profits and sustainability in the swine industry, the gut microbiome has become a focus of much research. In this study, we performed a comparative analysis of the gut microbiome in the ileum, cecum, and colon of Duroc × (Landrace × Yorkshire) (DLY) pigs showing two extreme feed conversion ratios (FCRs) using 16S rRNA gene sequencing. The results revealed that the microbial community in the cecum and colon had significantly higher alpha diversity than the ileum. We further identified 11, 55, and 55 operational taxonomic units (OTUs) with significantly different relative abundances between the high and low FCR pigs among the three gut locations, respectively. These OTUs were mainly associated with bacteria that participate in the metabolism of dietary polysaccharides and proteins. We then identified two and nine metabolic pathways that were enriched in the cecum and colon of the high FCR pigs, respectively. The results suggested that the short chain fatty acids and indolic compounds produced by microbial fermentation might influence porcine feed efficiency. These results should improve our understanding of microbiota compositions in the different gut locations of commercial pigs and provide important insights into the effect of gut microbiota on porcine FCRs.
Greater feed efficiency (FE) is critical in increasing profitability while reducing the environmental impact of pig production. Previous studies that identified swine FEassociated bacterial taxa were limited in either sampling sites or sequencing methods. This study characterized the microbiomes within the intestine of FE contrasting Duroc × (Landrace × Yorkshire) (DLY) pigs with a comprehensive representation of diverse sampling sites (ileum, cecum, and colon) and a metagenomic sequencing approach. A total of 226 pigs were ranked according to their FE between weaning to 140 day old, and six with extreme phenotypes were selected, three for each of the high and low groups. The results revealed that the cecum and colon had similar microbial taxonomic composition and function, and had higher capacity in polysaccharide metabolism than the ileum. We found in cecum that the high FE pigs had slightly higher richness and evenness in their micriobiota than the low FE pigs. We identified 12 phyla, 17 genera, and 39 species (e.g., Treponema porcinum, Treponema bryantii, and Firmicutes bacterium CAG:110) that were potentially associated with swine FE variation in cecum microbiota through LEfSe analysis. Species enriched in the cecum of the high FE pigs had a greater ability to utilize dietary polysaccharides and dietary protein according to the KEGG annotation. Analysis of antibiotic resistance based on the CARD database annotation indicated that the macB resistant gene might play an important role in shaping the microbial community in the cecum of pigs with contrasting FE. The bacteria from the genus Prevotella was highly enriched in the cecum of low FE pigs, which may impair the establishment of a more effective nutrient harvesting microbiota because of the interaction between Prevotella and other benefical microbes. These findings improved our understanding of the microbial compositions in the different gut locations of DLY pigs and identified many biomarkers associated with FE variation wich may be used to develop strategies to improve FE in pigs.
Gut microbiota has indispensable roles in nutrient digestion and energy harvesting, especially in processing the indigestible components of dietary polysaccharides. Searching for the microbial taxa and functional capacity of the gut microbiome associated with feed efficiency (FE) can provide important knowledge to increase profitability and sustainability of the swine industry. In the current study, we performed a comparative analysis of the fecal microbiota in 50 commercial Duroc × (Landrace × Yorkshire) (DLY) pigs with polarizing FE using 16S rRNA gene sequencing and shotgun metagenomic sequencing. There was a different microbial community structure in the fecal microbiota of pigs with different FE. Random forest analysis identified 24 operational taxonomic units (OTUs) as potential biomarkers to improve swine FE. Multiple comparison analysis detected 8 OTUs with a significant difference or tendency toward a difference between high- and low-FE pigs (P < 0.01, q < 0.1). The high-FE pigs had a greater abundance of OTUs that were from the Lachnospiraceae and Prevotellaceae families and the Escherichia-Shigella and Streptococcus genera than low-FE pigs. A sub-species Streptococcus gallolyticus subsp. gallolyticus could be an important candidate for improving FE. The functional capacity analysis found 18 KEGG pathways and CAZy EC activities that were different between high- and low-FE pigs. The fecal microbiota in high FE pigs have greater functional capacity to degrade dietary cellulose, polysaccharides, and protein and may have a greater abundance of microbes that can promote intestinal health. These results provided insights for improving porcine FE through modulating the gut microbiome.
It is of great significance to develop and evaluate noninvasive indexes predicting the level of liver fibrosis. The aim of this study was to comparatively evaluate gamma-glutamyl transpeptidase-to-platelet ratio (GPR) versus aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on 4 factors (FIB-4) in predicting different levels of liver fibrosis of chronic hepatitis B (CHB) within the framework of HBeAg-positive and HBeAg-negative patients. A total of 1157 HBeAg-positive and 859 HBeAg-negative CHB patients were enrolled, among whom the pathological stage ≥S2, ≥S3, ≥S4 were defined as significant fibrosis, extensive fibrosis and cirrhosis, respectively. Receiver operating characteristic (ROC) curves were used to evaluate the performance of GPR, APRI and FIB-4 in predicting different levels of liver fibrosis. In HBeAg-positive patients, the area under ROC curves (AUROCs) of GPR in predicting extensive fibrosis and cirrhosis were both significantly larger than those of APRI (P = .0001 and P < .0001). In HBeAg-negative patients, the AUROCs of GPR in predicting significant fibrosis and cirrhosis were significantly larger than those of FIB-4 (P = .0006 and P = .0041). The AUROC of GPR in predicting extensive fibrosis was significantly larger than that of APRI and FIB-4 (P = .0320 and P = .0018). Using a cut-off of GPR > 0.500 as standard, the sensitivities and specificities of GPR in predicting significant fibrosis in HBeAg-positive patients were 59.6% and 81.2%, and for cirrhosis 80.9% and 63.8%, respectively; and those of HBeAg-negative patients were 60.3% and 78.3%, 84.5% and 66.1%, respectively. Regardless of HBeAg-positive or HBeAg-negative status, GPR had the best performance in predicting different levels of liver fibrosis.
The gut microbiota system plays vital role in liver diseases. This study aimed to address the diversity of gut microbiota and its correlations with clinical parameters in healthy individuals, chronic liver disease (CLD), and hepatocellular carcinoma (HCC) patients. Fecal specimens of 9 healthy individuals, 11 CLD, and 21 HCC were collected. The diversity of gut microbiota was examined by PCR and Illumina MiSeq sequencing and analyzed using 16S rRNA gene sequencing database. The correlations between gut microbiota and the clinical parameters of participants were also addressed. Compared to healthy individuals, Firmicutes on a phylum level decreased in CLD and HCC patients and Proteobacteria increased (p < 0.05). The composition of Blautia on a genus level in CLD and HCC patients significantly decreased compared to healthy controls (p < 0.05). Firmicutes composition was negatively associated with age and number of males (p < 0.05), and was positively associated with monocytes, high density lipoprotein cholesterol (HDL-C), and estimated glomerular filtration rate (eGFR) levels (p < 0.05). On a genus level, Blautia composition was negatively associated with cirrhosis, age, and number of males (p < 0.01); while it was positively associated with red blood cells (RBC), triglycerides, HDL-C, and lymphocytes levels (p < 0.05). Conclusively, there was a significant compositional difference in 3 gut microbiota in CLD and HCC patients compared with healthy subjects.Firmicutes and Blautia in gut microbiota system lessened in CLD and HCC patients. Clinical biochemical parameters have an impact on the diversity of gut microbiota in liver diseases.
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