scholarly journals Identification of the relationship between the gut microbiome and feed efficiency in a commercial pig cohort

2021 ◽  
Author(s):  
Hui Jiang ◽  
Shaoming Fang ◽  
Hui Yang ◽  
Congying Chen
Keyword(s):  
Amino Acid ◽  
16S Rrna ◽  
Gut Microbiome ◽  
Feed Efficiency ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Rrna Gene ◽  
Sequencing Analysis ◽  
Metagenomic Sequencing ◽  
The Relationship

Abstract Feed efficiency is an economically important trait in pig production. Gut microbiota plays an important role in energy harvest, nutrient metabolism and fermentation of dietary indigestible components. Whether and which gut microbes affect feed efficiency in pigs are largely unknown. Here, a total of 208 healthy Duroc pigs were used as experimental materials. Feces and serum samples were collected at the age of 140d. We first performed 16S rRNA gene and metagenomic sequencing analysis to investigate the relationship between the gut microbiome and porcine residual feed intake (RFI). 16S rRNA gene sequencing analysis detected 21 OTUs showing the tendency to correlation with the RFI (P < 0.01). Metagenomic sequencing further identified that the members of Clostridiales, e.g. Ruminococcus flavefaoiens, Lachnospiraceae bacterium 28-4 and Lachnospiraceae phytofermentans, were enriched in pigs with low RFI (high feed efficiency), while 11 bacterial species including five Prevotella spp., especially, the Prevotella copri, had higher abundance in pigs with high RFI. Functional capacity analysis suggested that the gut microbiome of low RFI pigs had high abundance of the pathways related to amino acid metabolism and biosynthesis, but low abundance of the pathways associated with monosaccharide metabolism and lipopolysaccharide biosynthesis. Serum metabolome and fecal short chain fatty acids (SCFAs) were determined by UPLC-QTOF/MS and gas chromatograph, respectively. Propionic acid in feces and the serum metabolites related to amino acid metabolism were negatively correlated with the RFI. The results from this study may provide potential gut microbial biomarkers that could be used for improving feed efficiency in pig production industry.

scholarly journals Isotopic and genetic methods reveal the role of the gut microbiome in mammalian host essential amino acid metabolism

2020 ◽  
Vol 287 (1922) ◽  
pp. 20192995 ◽  
Author(s):  
Seth D. Newsome ◽  
Kelli L. Feeser ◽  
Christina J. Bradley ◽  
Caitlin Wolf ◽  
Cristina Takacs-Vesbach ◽  
...  
Keyword(s):  
Amino Acid ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Mammalian Host ◽  
Rrna Gene ◽  
Mouse Muscle ◽  
Intestinal Microbes ◽  
Simple Carbohydrates

Intestinal microbiota perform many functions for their host, but among the most important is their role in metabolism, especially the conversion of recalcitrant biomass that the host is unable to digest into bioavailable compounds. Most studies have focused on the assistance gut microbiota provide in the metabolism of carbohydrates, however, their role in host amino acid metabolism is poorly understood. We conducted an experiment on Mus musculus using 16S rRNA gene sequencing and carbon isotope analysis of essential amino acids (AA ESS ) to quantify the community composition of gut microbiota and the contribution of carbohydrate carbon used by the gut microbiome to synthesize AA ESS that are assimilated by mice to build skeletal muscle tissue. The relative abundances of Firmicutes and Bacteroidetes inversely varied as a function of dietary macromolecular content, with Firmicutes dominating when mice were fed low-protein diets that contained the highest proportions of simple carbohydrates (sucrose). Mixing models estimated that the microbial contribution of AA ESS to mouse muscle varied from less than 5% (threonine, lysine, and phenylalanine) to approximately 60% (valine) across diet treatments, with the Firmicute-dominated microbiome associated with the greatest contribution. Our results show that intestinal microbes can provide a significant source of the AA ESS their host uses to synthesize structural tissues. The role that gut microbiota play in the amino acid metabolism of animals that consume protein-deficient diets is likely a significant but under-recognized aspect of foraging ecology and physiology.

scholarly journals Yoghurt Consumption is Associated With Transient Changes in the Composition of the Human Gut Microbiome

2020 ◽  
Author(s):  
Caroline Ivanne Le Roy ◽  
Alexander Kurilshikov ◽  
Emily Leeming ◽  
Alessia Visconti ◽  
Ruth Bowyer ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
Visceral Fat ◽  
Gut Microbiome ◽  
Body Weight Gain ◽  
Healthy Eating Index ◽  
Rrna Gene ◽  
Metagenomic Sequencing ◽  
Sequencing Data ◽  
Shotgun Metagenomic Sequencing

Abstract Background: Yoghurt contains live bacteria that could contribute via modulation of the gut microbiota to its reported beneficial effects such as reduced body weight gain and lower incidence of type 2 diabetes. To date, the association between yoghurt consumption and the composition of the gut microbiota is underexplored. Here we used clinical variables, metabolomics, 16S rRNA and shotgun metagenomic sequencing data collected on over 1000 predominantly female UK twins to define the link between the gut microbiota and yoghurt-associated health benefits. Results: According to food frequency questionnaires (FFQ), 73% of subjects consumed yoghurt. Consumers presented a healthier diet pattern (healthy eating index: beta = 2.17±0.34; P = 2.72x10-10) and improved metabolic health characterised by reduced visceral fat (beta = -28.18±11.71 g; P = 0.01). According to 16S rRNA gene analyses and whole shotgun metagenomic sequencing approach consistent taxonomic variations were observed with yoghurt consumption. More specifically, we identified higher abundance of species used as yoghurt starters Streptococcus thermophilus (beta = 0.41±0.051; P = 6.14x10-12) and sometimes added Bifidobacterium animalis subsp. lactis (beta = 0.30±0.052; P = 1.49x10-8) in the gut of yoghurt consumers. Replication in 1103 volunteers from the LifeLines-DEEP cohort confirmed the increase of S. thermophilus among yoghurt consumers. Using food records collected the day prior to faecal sampling we showed that increase in these two yoghurt bacteria could be transient. Metabolomics analysis revealed that B. animalis subsp. lactis was associated with 13 faecal metabolites including a 3-hydroxyoctanoic acid, known to be involved in the regulation of gut inflammation.Conclusions: Yoghurt consumption is associated with reduced visceral fat mass and changes in gut microbiome including transient increase of yoghurt-contained species (i.e. S. thermophilus and B. lactis).

scholarly journals Study of the Relationship Between Serum Amino Acid Metabolism and Lymph Node Metastasis in Patients with Colorectal Cancer

2020 ◽  
Vol Volume 13 ◽  
pp. 10287-10296
Author(s):  
Jinhao Liu ◽  
Jikun Wang ◽  
Xueqian Ma ◽  
Yang Feng ◽  
Yanlei Chen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Amino Acid ◽  
Lymph Node Metastasis ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Node Metastasis ◽  
The Relationship

scholarly journals Extracellular Matrix Stiffness: New Areas Affecting Cell Metabolism

2021 ◽  
Vol 11 ◽  
Author(s):  
Heming Ge ◽  
Mengxiang Tian ◽  
Qian Pei ◽  
Fengbo Tan ◽  
Haiping Pei
Keyword(s):  
Extracellular Matrix ◽  
Amino Acid ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Cell Metabolism ◽  
Metabolic Reprogramming ◽  
Matrix Stiffness ◽  
Extracellular Matrix Stiffness ◽  
The Relationship ◽  
Novel Therapeutic

In recent years, in-depth studies have shown that extracellular matrix stiffness plays an important role in cell growth, proliferation, migration, immunity, malignant transformation, and apoptosis. Most of these processes entail metabolic reprogramming of cells. However, the exact mechanism through which extracellular matrix stiffness leads to metabolic reprogramming remains unclear. Insights regarding the relationship between extracellular matrix stiffness and metabolism could help unravel novel therapeutic targets and guide development of clinical approaches against a myriad of diseases. This review provides an overview of different pathways of extracellular matrix stiffness involved in regulating glucose, lipid and amino acid metabolism.

scholarly journals Lysine Restriction Affects Feed Intake and Amino Acid Metabolism via Gut Microbiome in Piglets

2017 ◽  
Vol 44 (5) ◽  
pp. 1749-1761 ◽  
Author(s):  
Jie Yin ◽  
Hui Han ◽  
Yuying Li ◽  
Zhaojin Liu ◽  
Yurong Zhao ◽  
...  
Keyword(s):  
Amino Acid ◽  
Feeding Behavior ◽  
Microbial Communities ◽  
Feed Intake ◽  
Gut Microbiome ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Rrna Genes ◽  
Control Group ◽  
Restricted Group

Background/Aims: Our previous reports suggested that dietary supplementation with lysine influenced intestinal absorption and metabolism of amino acids. In this study, we further investigated the effect of lysine restriction (30%) on feed intake and we also tested the hypothesis that gut microbiome contributed to the potential mechanism of lysine restriction-mediated feeding behavior. Here, we profiled gut microbial communities by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from gut samples as well as growth performance, serum hormones, and intestinal lysine transport in a piglet model. Results: Piglets preferred to the lysine restricted diet when giving three diets and the feed intake was markedly higher in the lysine-restricted group than that in the control group. Altered hormones (leptin, CCK, and ghrelin) might contribute to the feeding behavior caused by lysine restriction. Meanwhile, lysine transporting ability (SLC7A1 and SLC7A2 expression, intestinal electrophysiological changes, and amino acid pool in mesenteric vein) was decreased in response to lysine restriction. Through deep sequencing of bacterial rRNA markers, we observed that bacterial diversity was enhanced in the lysine-restricted group (Shannon H, PD, and Chao1). At the phylum level, lysine restriction enhanced gut Actinobacteria, Saccharibacteria, and Synergistetes abundances. At the family level, Moraxellaceae, Halomonadaceae, Shewanellaceae, Corynebacteriaceae, Bacillaceae, Comamonadaceae, Microbacteriaceae, Caulobacteraceae, and Synergistaceae abundances were increased in response to lysine restriction. Predictive functional profiling of microbial communities by PICRUSt also confirmed that dietary lysine restriction affected gut microbiome, which might further mediate amino acid metabolism, membrane transport, and endocrine system. Conclusion: Our results indicated that lysine restriction inhibited intestinal lysine transport and promoted feed intake, which might be associated with gut microbiome.

scholarly journals Deep Investigating the Changes of Gut Microbiome and Its Correlation With the Shifts of Host Serum Metabolome Around Parturition in Sows

2021 ◽  
Vol 12 ◽  
Author(s):  
Hao Fu ◽  
Maozhang He ◽  
Jinyuan Wu ◽  
Yunyan Zhou ◽  
Shanlin Ke ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Bacterial Species ◽  
Late Pregnancy ◽  
Rrna Gene ◽  
Metagenomic Sequencing ◽  
Sequencing Data ◽  
Functional Capacities

Parturition is a crucial event in the sow reproduction cycle, which accompanies by a series of physiological changes, including sex hormones, metabolism, and immunity. More and more studies have indicated the changes of the gut microbiota from pregnancy to parturition. However, what bacterial species and functional capacities of the gut microbiome are changed around parturition has been largely unknown, and the correlations between the changes of gut bacterial species and host metabolome were also uncovered. In this study, by combining 16S rRNA gene and shotgun metagenomic sequencing data, and the profiles of serum metabolome and fecal short-chain fatty acids (SCFAs), we investigated the changes of gut microbiome, serum metabolite features and fecal SCFAs from late pregnancy (LP) to postpartum (PO) stage. We found the significant changes of gut microbiota from LP to PO stage in both 16S rRNA gene sequencing and metagenomic sequencing analyses. The bacterial species from Lactobacillus, Streptococcus, and Clostridium were enriched at the LP stage, while the species from Bacteroides, Escherichia, and Campylobacter had higher abundances at the PO stage. Functional capacities of the gut microbiome were also significantly changed and associated with the shifts of gut bacteria. Untargeted metabolomic analyses revealed that the metabolite features related to taurine and hypotaurine metabolism, and arginine biosynthesis and metabolism were enriched at the LP stage, and positively associated with those bacterial species enriched at the LP stage, while the metabolite features associated with vitamin B6 and glycerophospholipid metabolism had higher abundances at the PO stage and were positively correlated with the bacteria enriched at the PO stage. Six kinds of SCFAs were measured in feces samples and showed higher concentrations at the LP stage. These results suggested that the changes of gut microbiome from LP to PO stage lead to the shifts of host lipid, amino acids and vitamin metabolism and SCFA production. The results from this study provided new insights for the changes of sow gut microbiome and host metabolism around parturition, and gave new knowledge for guiding the feeding and maternal care of sows from late pregnancy to lactation in the pig industry.

scholarly journals Comparative analysis of 16S rRNA gene and metagenome sequencing in pediatric gut microbiomes

2021 ◽  
Author(s):  
Danielle Peterson ◽  
Kevin S. Bonham ◽  
Sophie Rowland ◽  
Cassandra W. Pattanayak ◽  
Vanja Klepac-Ceraj ◽  
...  
Keyword(s):  
16S Rrna ◽  
Microbial Communities ◽  
Gut Microbiome ◽  
Age Groups ◽  
Alpha Diversity ◽  
Sequencing Depth ◽  
Human Infant ◽  
Rrna Gene ◽  
Metagenomic Sequencing ◽  
Shotgun Metagenomic Sequencing

AbstractThe colonization of the human gut microbiome begins at birth, and, over time, these microbial communities become increasingly complex. Most of what we currently know about the human microbiome, especially in early stages of development, was described using culture-independent sequencing methods that allow us to identify the taxonomic composition of microbial communities using genomic techniques, such as amplicon or shotgun metagenomic sequencing. Each method has distinct tradeoffs, but there has not been a direct comparison of the utility of these methods in stool samples from very young children, which have different features than those of adults. We compared the effects of profiling the human infant gut microbiome with 16S rRNA amplicon versus shotgun metagenomic sequencing techniques in 130 fecal samples; younger than 15, 15-30, and older than 30 months of age. We demonstrate that observed changes in alpha-diversity and beta-diversity with age occur to similar extents using both profiling methods. We also show that 16S rRNA profiling identified a larger number of genera and we find several genera that are missed or underrepresented by each profiling method. We present the link between alpha diversity and shotgun metagenomic sequencing depth for children of different ages. These findings provide a guide for selecting an appropriate method and sequencing depth for the three studied age groups.

scholarly journals Yoghurt consumption is associated with transient changes in the composition of the human gut microbiome

2020 ◽  
Author(s):  
Caroline Ivanne Le Roy ◽  
Alexander Kurilshikov ◽  
Emily Leeming ◽  
Alessia Visconti ◽  
Ruth Bowyer ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
Visceral Fat ◽  
Gut Microbiome ◽  
Body Weight Gain ◽  
Healthy Eating Index ◽  
Rrna Gene ◽  
Metagenomic Sequencing ◽  
Sequencing Data ◽  
Shotgun Metagenomic Sequencing

Abstract Background: Yoghurt contains live bacteria that could contribute via modulation of the gut microbiota to its reported beneficial effects such as reduced body weight gain and lower incidence of type 2 diabetes. To date, the association between yoghurt consumption and the composition of the gut microbiota is underexplored. Here we used clinical variables, metabolomics, 16S rRNA and shotgun metagenomic sequencing data collected on over 1000 predominantly female UK twins to define the link between the gut microbiota and yoghurt-associated health benefits. Results: According to food frequency questionnaires (FFQ), 73% of subjects consumed yoghurt. Consumers presented a healthier diet pattern (healthy eating index: beta = 2.17±0.34; P = 2.72x10 -10 ) and improved metabolic health characterised by reduced visceral fat (beta = -28.18±11.71 g; P = 0.01). According to 16S rRNA gene analyses and whole shotgun metagenomic sequencing approach consistent taxonomic variations were observed with yoghurt consumption. More specifically, we identified higher abundance of species used as yoghurt starters Streptococcus thermophilus (beta = 0.41±0.051; P = 6.14x10 -12 ) and sometimes added Bifidobacterium animalis subsp. lactis (beta = 0.30±0.052; P = 1.49x10 -8 ) in the gut of yoghurt consumers. Replication in 1103 volunteers from the LL-DEEP cohort confirmed the increase of S. thermophilus among yoghurt consumers. Using food records collected the day prior to faecal sampling we showed that increase in these two yoghurt bacteria could be transient. Metabolomics analysis revealed that B. animalis subsp. lactis was associated with 13 faecal metabolites including a 3-hydroxyoctanoic acid, known to be involved in the regulation of gut inflammation. Conclusions: Yoghurt consumption is associated with reduced visceral fat mass and changes in gut microbiome including transient increase of yoghurt-contained species ( i.e. S. thermophilus and B. lactis ).

The Association of Gut Microbiota with Osteoporosis is Mediated by Amino Acid Metabolism: Multiomics in a Large Cohort

2021 ◽  
Author(s):  
Chu-wen Ling ◽  
Zelei Miao ◽  
Mian-li Xiao ◽  
Hongwei Zhou ◽  
Zengliang Jiang ◽  
...  
Keyword(s):  
Amino Acid ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
High Performance ◽  
Amino Acid Metabolism ◽  
Acid Metabolism ◽  
Large Population ◽  
Mineral Density ◽  
Gut Dysbiosis ◽  
Serum Metabolomics

Abstract Context Several small studies have suggested that the gut microbiome might influence osteoporosis, but there is little evidence from human metabolomics studies to explain this association. Objective This study examined the association of gut microbiome dysbiosis with osteoporosis and explored the potential pathways through which this association occurs using faecal and serum metabolomics. Methods We analysed the composition of the gut microbiota by 16S rRNA profiling and bone mineral density (BMD) using dual-energy X-ray absorptiometry in 1776 community-based adults. Targeted metabolomics in faeces (15 categories) and serum (12 categories) were further analysed in 971 participants using ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS). Results This study showed that osteoporosis was related to the beta diversity, taxonomy and functional composition of the gut microbiota. The relative abundance of Actinobacillus, Blautia, Oscillospira, Bacteroides and Phascolarctobacterium was positively associated with osteoporosis. However, Veillonellaceae other, Collinsella and Ruminococcaceae other were inversely associated with the presence of osteoporosis. The association between microbiota biomarkers and osteoporosis was related to levels of peptidases and transcription machinery in microbial function. Faecal and serum metabolomics analyses suggested that tyrosine and tryptophan metabolism and valine, leucine and isoleucine degradation were significantly linked to the identified microbiota biomarkers and to osteoporosis, respectively. Conclusion This large population-based study provided robust evidence connecting gut dysbiosis, faecal metabolomics and serum metabolomics with osteoporosis. Our results suggest that gut dysbiosis and amino acid metabolism could be targets for intervention in osteoporosis.

scholarly journals An Integrated Fecal Microbiome and Metabolomics in T2DM Rats Reveal Antidiabetes Effects from Host-Microbial Metabolic Axis of EtOAc Extract from Sophora flavescens

2020 ◽  
Vol 2020 ◽  
pp. 1-25 ◽  
Author(s):  
Jing Shao ◽  
Yi Liu ◽  
Huan Wang ◽  
Yun Luo ◽  
Lei Chen
Keyword(s):  
Amino Acid ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Acid Metabolism ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Gut Bacteria ◽  
Rrna Gene ◽  
Etoac Extract ◽  
Rrna Gene Sequencing

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease. Sophora flavescens (S. flavescens), also named Kushen, is a famous Chinese herbal medicine that has been used to prevent and cure T2DM both in folk medicine and in medical institution. However, its mechanism of action remains unclear. In this study, the pharmacodynamic effects of S. flavescens EtOAc extract (SFE) on high-fat diet and low-dose streptozotocin-induced T2DM rats were examined. Fecal metabolomics analysis and 16S rRNA gene sequencing were applied to determine the influence of T2DM and SFE treatment on gut microbiota and host metabolism. Based on the consistency of the results of metabolic pathways in metabolomics analysis and phylogenetic investigation of communities by reconstruction of unobserved state (PICRUSt) analysis of 16S rRNA gene sequencing, the level of metabolites and the operational taxonomic units of gut bacteria were combined, and Spearman’s analysis was implemented. Our data showed that SFE significantly decreased fasted blood glucose levels and improved lipid profile, glycosylated serum protein, glycosylated hemoglobin index, and pancreas damage. Metabolomics and 16S rRNA gene sequencing analysis indicated gut bacteria disorder, disturbed lipid metabolism, carbohydrate metabolism, and especially amino acid metabolism in T2DM and that SFE can regulated these metabolic pathways through the influence on gut bacteria. Spearman’s analysis indicated that the amino acid metabolism that included tryptophan, branched chain amino acid, aromatic amino acid, beta-alanine, and glycine, serine and threonine metabolism, lipid metabolism, including lysophosphatidylcholines and lysophosphatidylethanolamines, primary bile acid and linoleic acid metabolism, carbohydrate metabolism, and nucleotide metabolism positively correlated with Faecalibacterium, Flexispira, Phascolarctobacterium, Prevotella, Roseburia, and [Prevotella]. In addition, arginine and proline metabolism, steroid hormone, steroid biosynthesis, and sphingolipid metabolism positively correlated with Lactobacillus, Oscillospira, Parabacteroides, Ruminococcus, and Streptococcus. Taken together, we speculated that SFE may have an effect on T2DM by mediating host-microbial metabolic axis. Exploration of SFE treatment for T2DM by multiomics is expected to provide a reference for clinical treatment.

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