PSIV-17 Impacts of high forage crude protein concentrations on the equine fecal microbiome

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 297-297
Author(s):  
Jennifer R Weinert ◽  
Amy S Biddle ◽  
Carey A Williams
Keyword(s):  
Amino Acid ◽  
Beta Diversity ◽  
Crude Protein ◽  
Mixed Model ◽  
Short Chain Fatty Acids ◽  
Acid Synthesis ◽  
Rrna Gene ◽  
Amino Acid Synthesis ◽  
Fecal Microbiome ◽  
Alpha And Beta Diversity

Abstract The objective of this study was to evaluate effects of forage crude protein (CP) concentrations on the equine fecal microbiome. Six mares were assigned to either a high-protein (HP; 24% CP) or normal-protein (NP; 15% CP) hay cube diet in a randomized cross-over design. Fecal samples were collected on the last day of each 35-d period. Branched-chain and short-chain fatty acids (SCFA) were measured by GC-MS; data were analyzed by mixed model ANOVA in R. 16S rRNA gene sequence analysis was conducted in Qiime2. Alpha and beta diversity were assessed by Kruskall-Wallis Tests and PERMANOVA. Taxonomy was assigned using SILVA. Metacyc pathways were predicted with PICRUSt2. Differential genus-level and pathway abundances were analyzed by LefSe (LDA >2.0). Significance was set at p≤0.05. Species richness did not differ by diet, but evenness was greater in NP vs. HP. Beta diversity metrics including Weighted UniFrac also differed by diet. Genera including Methanocorpusculum, Rikenellaceae RC9 gut group, and Eubacterium coprostanoligenes group were more abundant in HP. Treponema and Fibrobacters were more abundant in NP. Twenty pathways related to amino acid synthesis were identified as markers of NP, while 10 pathways related to amino acid degradation and SCFA synthesis were markers of HP. Pathway predictions were supported by metabolite analyses, with acetate (HP: 751; LP: 632 ± 49 ug/g), propionate (HP: 565; NP: 421 ± 43 ug/g), butyrate (HP: 341; LP: 210 ± 34 ug/g), and valerate (HP: 80; NP: 42 ± 11 ug/g) greater in HP than NP. Isobutyrate (HP: 108; NP: 94 ± 7 ug/g; P = 0.09), and isovalerate (HP: 91; NP: 48 ± 10 ug/g) were also greater in HP. These results demonstrate that consuming higher-CP forages impacts equine hindgut microbiota structure and function, leading to increased rates of protein fermentation. Further research is needed to determine physiological significance in forage-fed horses.

scholarly journals Petasis vs. Strecker Amino Acid Synthesis: Convergence, Divergence and Opportunities in Organic Synthesis

Molecules ◽  
2021 ◽  
Vol 26 (6) ◽  
pp. 1707
Author(s):  
Wayiza Masamba
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Organic Synthesis ◽  
Acid Synthesis ◽  
Physical Sciences ◽  
Amino Acid Synthesis

α-Amino acids find widespread applications in various areas of life and physical sciences. Their syntheses are carried out by a multitude of protocols, of which Petasis and Strecker reactions have emerged as the most straightforward and most widely used. Both reactions are three-component reactions using the same starting materials, except the nucleophilic species. The differences and similarities between these two important reactions are highlighted in this review.

scholarly journals Enzymatic cascade systems for D-amino acid synthesis: progress and perspectives

2021 ◽  
Author(s):  
Anwen Fan ◽  
Jiarui Li ◽  
Yangqing Yu ◽  
Danping Zhang ◽  
Yao Nie ◽  
...  
Keyword(s):  
Amino Acid ◽  
Acid Synthesis ◽  
Amino Acid Synthesis ◽  
Cascade Systems

Reconstitution of amino acid synthesis by combining spinach chloroplasts with other leaf organelles

1979 ◽  
Vol 18 (7) ◽  
pp. 1109-1111 ◽  
Author(s):  
Barbara Buchholz ◽  
Brigitte Reupke ◽  
Horst Bickel ◽  
Gernot Schultz
Keyword(s):  
Amino Acid ◽  
Acid Synthesis ◽  
Amino Acid Synthesis ◽  
Spinach Chloroplasts

Enzymes for amino acid synthesis by design

2021 ◽  
Vol 4 (5) ◽  
pp. 348-349
Author(s):  
Christopher K. Prier
Keyword(s):  
Amino Acid ◽  
Acid Synthesis ◽  
Amino Acid Synthesis

scholarly journals Effect of Bovine MFGM and LF in Infant Formula on Gut Microbiome and Metabolome at Four Months of Age

2021 ◽  
Author(s):  
Maciej Chichlowski ◽  
Nicholas Bokulich ◽  
Cheryl L Harris ◽  
Jennifer L Wampler ◽  
Fei Li ◽  
...  
Keyword(s):  
Infant Formula ◽  
Beta Diversity ◽  
Milk Fat ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Rrna Gene ◽  
Term Infants ◽  
Linear Discriminant ◽  
Alpha And Beta Diversity ◽  
Metabolite Profiles

Abstract Background Milk fat globule membrane (MFGM) and lactoferrin (LF) are human milk bioactive components demonstrated to support gastrointestinal (GI) and immune development. Significantly fewer diarrhea and respiratory-associated adverse events through 18 months of age were previously reported in healthy term infants fed a cow's milk-based infant formula with added source of bovine MFGM and bovine LF through 12 months of age. Objectives To compare microbiota and metabolite profiles in a subset of study participants. Methods Stool samples were collected at Baseline (10–14 days of age) and Day 120 (MFGM + LF: 26, Control: 33). Bacterial community profiling was performed via16S rRNA gene sequencing (Illumina MiSeq) and alpha and beta diversity were analyzed (QIIME 2). Differentially abundant taxa were determined using Linear discriminant analysis effect size (LefSE) and visualized (Metacoder). Untargeted stool metabolites were analyzed (HPLC/mass spectroscopy) and expressed as the fold-change between group means (Control: MFGM + LF ratio). Results Alpha diversity increased significantly in both groups from baseline to 4 months. Subtle group differences in beta diversity were demonstrated at 4 months (Jaccard distance; R2 = 0.01, P = 0.042). Specifically, Bacteroides uniformis and Bacteroides plebeius were more abundant in the MFGM + LF group at 4 months. Metabolite profile differences for MFGM + LF vs Control included: lower fecal medium chain fatty acids, deoxycarnitine, and glycochenodeoxycholate, and some higher fecal carbohydrates and steroids (P < 0.05). After applying multiple test correction, the differences in stool metabolomics were not significant. Conclusions Addition of bovine MFGM and LF in infant formula was associated with subtle differences in stool microbiome and metabolome by four months of age, including increased prevalence of Bacteroides species. Stool metabolite profiles may be consistent with altered microbial metabolism. Trial registration:  https://clinicaltrials.gov/ct2/show/NCT02274883).

scholarly journals The Fecal Bacterial Microbiota in Horses with Equine Recurrent Uveitis

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 745
Author(s):  
Michelle Martin de Bustamante ◽  
Diego Gomez ◽  
Jennifer MacNicol ◽  
Ralph Hamor ◽  
Caryn Plummer
Keyword(s):  
Beta Diversity ◽  
High Throughput Sequencing ◽  
Illumina Miseq ◽  
Diversity Indices ◽  
Rrna Gene ◽  
Linear Discriminant ◽  
Alpha And Beta Diversity ◽  
Bacterial Microbiota ◽  
Healthy Control ◽  
Equine Recurrent Uveitis

The objective of this study was to describe and compare the fecal bacterial microbiota of horses with equine recurrent uveitis (ERU) and healthy horses using next-generation sequencing techniques. Fecal samples were collected from 15 client-owned horses previously diagnosed with ERU on complete ophthalmic examination. For each fecal sample obtained from a horse with ERU, a sample was collected from an environmentally matched healthy control with no evidence of ocular disease. The Illumina MiSeq sequencer was used for high-throughput sequencing of the V4 region of the 16S rRNA gene. The relative abundance of predominant taxa, and alpha and beta diversity indices were calculated and compared between groups. The phyla Firmicutes, Bacteroidetes, Verrucomicrobia, and Proteobacteria predominated in both ERU and control horses, accounting for greater than 60% of sequences. Based on linear discriminant analysis effect size (LEfSe), no taxa were found to be enriched in either group. No significant differences were observed in alpha and beta diversity indices between groups (p > 0.05 for all tests). Equine recurrent uveitis is not associated with alteration of the gastrointestinal bacterial microbiota when compared with healthy controls.

Human Platelets: Amino Acid Synthesis

1969 ◽  
Vol 131 (3) ◽  
pp. 957-959 ◽  
Author(s):  
E. Puszkin ◽  
L. Aledort ◽  
S. Puszkin
Keyword(s):  
Amino Acid ◽  
Acid Synthesis ◽  
Human Platelets ◽  
Amino Acid Synthesis
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