Advances in Understanding Enzyme Substrates in Feed and Available Solutions. Luis Romero, PhD October 14 th, 2015

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Advances in Understanding Enzyme Substrates in Feed and Available Solutions Luis Romero, PhD October 14 th, 2015

Outline Introduction. Mode of action and value of enzymes Substrate and enzymes interactions in the gut Phytase Carbohydrases Proteases The microbiota as a key player Capturing increased animal performance

Meat (kg/flock) Romero, 2010 There is a gap between genetic potential and commercial performance in animal production Sub-optimal production Sub-optimal diet digestibility Feed ingredient variation Sub-clinical disease Clinical disease Environmental stress Production frontier Commercial performance Value Potential Reduced performance + mortality O Feed, labor, other inputs ($)

Mode of action of exogenous enzymes in animals is not limited to hydrolysis of one substrate Enzyme + substrate Digesta Physical structure Solubility of nutrients Host Feedback mechanisms Endogenous enzymes Gut development Immune response Microbiome profile and function Balance and retention of nutrients 10/29/2015

Understanding exogenous enzymes for animal nutrition Assay and product specifications Screening Disrupting technologies Customer need Mode of action Systems biology Small scale testing Customer value Commercial application

Substrate and enzymes interactions in the gut 10/29/2015

Characterization of phytase activity in-vitro Aspergillus niger E. coli Citrobacter Braakii Buttiauxella sp. Menezes-Blackburn et al. 2015. J. Agr. Food Chem.

Maximum IP degradation in the digestive tract is now reaching levels that are close to 90%, but multiple factors affect maximum disappearance Ca npp Ca npp PP Ca npp Ca npp Ca PP npp PP PP Phytas Factor Ca npp PP Phytase Ca npp Ca PP Phytase npp PP Phytase Phytase PP Phytase Phytase Phytase e F Prob 0.0003 0.86 <0.0001 <0.0001 0.66 0.22 0.38 0.17 <0.0001 0.0024 0.12 0.27 0.88 0.15 0.79 * 0, 500 or 1000 FTU/kg of Buttiauxella sp. phytase were supplied to broilers from 11 to 13 d of age 10/29/2015 Li, Angel, et al. Submitted for publication, 2015

Digestible energy in a corn-soy-ddgs diet in broiler chickens and young pigs (kcal/kg) Undigested energy and protein substrates 1800 1600 1400 107 Non digestible energy ~ 820 kcal/kg Realistic improvement ~ 440 Current improvement ~ 100 kcal/kg 10/29/2015 1200 1000 800 600 400 200 0 1420 213 970 65 295 176 96 138 44 96 15 28 28 Starch Protein Fat Arabinoxylans Pectins Cellulose Resistant oligosaccharides Digestible energy Non digestible protein ~ 40 g/kg Realistic improvement ~ 20 g/kg Current improvement ~ 4 g/kg Non digestible energy

Mechanisms of action of carbohydrases and proteases in broiler diets Xylanase, beta-glucanase Reduced viscosity (Choct, 1999) Improved access to cell contents (Cowieson, 2005) Prebiotic effects (Fernandez et al., 2000) Possible reduction of endogenous inputs (Satchithanandam et al., 1990) Amylase Down regulation of pancreatic amylase (Jiang et al., 2008) Augmentation of pancreatic amylase activity in young animals (Gracia et al., 2003) Improvement of digestion of resistant starch in corn and corn by products (Sharma et al., 2010) Protease Hydrolysis of dietary protein and increased protein solubility (Caine et al., 1998) Disruption of protein-starch interactions in corn (Mc Allister et al., 1993; Belles et al., 2000 ) Disruption of protein-fiber interactions (Pedersen, 2015) Feed intake Digestion Fermentation Feces A X P X A X P a.a., NE Endogenous inputs a.a., starch, fat Absorption SCFA Production

Xylanases and beta-glucanases. Shifting the target from the soluble to the insoluble fractions 27 Arabinoxylan and beta-glucan in some feed ingredients (% dry matter) 22 17 12 7 2 Corn Wheat Barley Rye Wheat bran Wheat DDGS Corn DDGS Soybean meal Rapeseed meal Sunflower cake Insoluble arabinoxylan Soluble arabinoxylan Total beta-glucan Source: Choct (2006); Danisco Non Starch Polysaccharide (NSP) database (2012)

It is not just about solubilisation of fibre; it is about net energy for the animal Enzymes: Solubilize fiber and release nutrients Starch Fats Amino acids & peptides Hemicellulose More nutrients absorbed Microbial fermentation Availability of energy from fiber via SCFA production: Butyrate (2185 kj/mol) Propionate(1528 kj/mol) Acetate(874kj/mol) 10/29/2015

There is considerable potential to increase protein digestibility in commercial diets Ingredient * Crude protein % App. dig** ME (Kcal/kg) Main proteins Key amino acids Poultry Swine Corn 8 0.82 3390 3350 Zein Leu, asp, glu Wheat 11 0.81 3210 3415 Glutenin Glu Soybean meal 48 0.85 2458 3140 Corn DDGS 27 Glycinin, betaconglycinin 0.65-0.85 2800 3300 Globulin, glutelin, zein Phe, tyr, leu Leu, asp, glu Sorghum 11 0.68 3310 3230 Kafirin Pro, glu Canola meal 38 0.77 2110 2600 Cruciferin, napin Glu, asp Sunflower meal 41 0.83 2310 2740 Helianthinin Glu, asp Feather meal 85 Meat and bone meal 50 0.50-0.75 0.65-0.80 2880 2270 Keratin Ser, pro, gly 2530 2435 Collagen Gly, ala, pro 10/29/2015

Exogenous proteases Serine proteases (3.4.21.xx) Metallo-protease Catalytic mechanism = His-Ser-Asp Alkaline ph optimum Cysteine proteases Trypsin subfamily proteases (3.4.21.4) Higher specificity to negatively charged substrates Subtilisin proteases (3.4.21.62) Higher specificity to hydrophobic substrates Aspartic acid proteases Most commercially available proteases fall into this category

Proteomics - a new tool Proteomics is the large-scale experimental analysis of proteins present in a biological sample. It usually relies on the extraction of the proteins from the sample, their separation, protein digestion, followed by mass spectrometry analysis Proteomics has been applied to the study of food or feed protein digestion, and the terminology protein digestomics has been put forward by Picariello et al, 2013 Le Gall et al. (2005) Identified two proteins in peas, lectin and albumin PA1b, that were totally resistant to gastric and small intestinal digestion in pigs Fisher et al. (2007) Identified aggregated peptides of partly degraded β-conglycinin alpha subunits in the undigested ileal residue of pigs fed soybean meal 10/29/2015

Apparent uplift on amino acid digestibility (g/kg) Improvements on amino acid digestibility due to enzymes are proportional to ileal undigested amino acids in control diets 1.00 0.80 gln y = 0.13x R 2 = 0.94 0.60 0.40 0.20 0.00 met met cys cys val thr val lys thr lys leu leu asn asn gln y = 0.12x R 2 = 0.96 y = 0.03x R 2 = 0.56 y = 0.03x R 2 = 0.42-0.20 0.0 1.0 2.0 3.0 4.0 5.0 6.0 Apparently undigested fraction of amino acid (g/kg) 10/29/2015 XA-Corn/SBM XA-Corn/SBM/DDGS XAP-Corn/SBM XAP-Corn/SBM/DDGS Romero et al., 2013

Improvement of ileal digestible energy 21 d (kcal/kg DM) Protein contributed a significant amount of energy in response to enzymes, particularly protease, in 21-d broilers 140 120 100 80 60 40 20 0 29 25 25 10 0 15 0 13 15 CS + XA 89 Starch Fat Protein IDE IDE = ileal digestible energy CS=Corn/Soy; WS=Wheat/Soy XA = xylanase and amylase; XAP = XA plus protease Mixed diets contained 10% corn DDGS and 5% canola meal 54 CS + XAP CS Mixed + XA 75 39 12 36 28 59 133 56 34 54 25 94 40 120 38 23 28 35 35 30 CS Mixed + XAP WS + XA WS + XAP WS Mixed + XA WS Mixed + XAP Romero et al., 2015

Improvement of ileal digestible energy (kcal/kg DM) At 42 days, starch contribution was relatively greater, and carbohydrase had smaller effects on protein contributions 180 160 140 120 100 80 60 40 20 0 Starch Fat Protein 25 30 21 20 8 18 11 4 23 30 38 34 38 CS + XA CS + XAP CS Mixed + XA CS Mixed + XAP WS + XA WS + XAP WS Mixed + XA IDE = ileal digestible energy CS=Corn/Soy; WS=Wheat/Soy XA = xylanase and amylase; XAP = XA plus protease Mixed diets contained 10% corn DDGS and 5% canola meal 40 20 50 18 24 67 42 34 78 WS Mixed + XAP Romero et al., 2015

Improvement of ileal digestible energy (kcal/kg DM) Contributions of starch, fat and protein did not explain ileal digestible energy in wheat based diets at day 42 d 300 250 Starch Fat Protein IDE 275 200 150 100 50 0 134 147 149 90 96 42 40 18 34 35 24 25 32 30 21 20 20 81 18 11 23 30 38 34 38 50 67 78 40 CS + XA CS + XAP CS Mixed + XA CS Mixed + XAP WS + XA WS + XAP WS Mixed + XA WS Mixed + XAP IDE = ileal digestible energy CS=Corn/Soy; WS=Wheat/Soy XA = xylanase and amylase; XAP = XA plus protease Mixed diets contained 10% corn DDGS and 5% canola meal Romero et al., 2015

Proteases can have significant effects on total tract NSP disappearance in broiler chickens * A subtilisin protease at two doses (P5000 and P10000) and a combination of xylanase, amylase and protease at three doses (XAP2500, XAP5000, XAP10000) were supplemented in a corn-based diet from 14 to 21 d to broiler chickens Olukosi et al, 2015

Some practical implications Net effects of enzymes on performance are greater in diets with greater undigested substrates, which normally correspond to diets with more fibrous ingredients. Effects of exogenous enzymes on the digestibility of different energy substrates overlap. Matrices are not additive. Therefore, it is always better to work with enzymes combinations with enough knowledge of mode of action and robust matrices. 10/29/2015

The microbiota as a key player 10/29/2015

You are bacterial and so are your birds and pigs! 24

Avian gut microbiota Total bacterial pop. ~10 14 cells (10x more than host cells ) The avian gastrointestinal tract consists of many small ecological niches; either mucosal or luminal Gut bacteria are in the mucus layer at the epithelium and on digesta forming biofilms Essentially sterile at hatch, the gut flora of an adult bird is relatively stable and difficult to change by feed additives Microbiota influences: Development and function of immune system Metabolism, appetite Disease Behavior

Critical interactions of exogenous enzymes and the gut microbiome Feed enzymes Increased fibre digestion Prebiotic effects More nutrients digested Reduced endogenous inputs for digestion Less nutrients available for pathogens Improved gut integrity More nutrients absorbed and metabolized Reduced populations of pathogenic bacteria Reduced endogenous inputs for immunity Increased growth and feed efficiency Direct effect Critical interaction

Enzymes might affect gut health through changes in the available substrate and direct effect in the mucosa Xylanases have been shown to have pre-biotic effects in poultry (Fernandez, 2000) and other species through selective stimulation of beneficial bacteria and production of short-chain fatty acids (SCFA) (Broekaert et al., 2011) Increased undigested protein appears to be a predisposing factor for dysbacteriosis related to necrotic enteritis (Dahiya et al., 2007) Protease has been shown to improve performance of chickens challenged with Eimeria spp. (Peek et al, 2009)

Energy allocation (kcal/bird/day) Enteric disease is a limiting factor to the efficacy of exogenous enzymes due to mal-absoption Energy partitioning of 42-48 d old broilers challenged with oocysts of three Eimeria species 800 700 600 500 400 300 200 100 0 305 191 110 49-0.9 57 94 122 130 38 281 311 308 304 315 0 0.5 1 1.5 2 Lesion scores (0-4) Maintenance cost Retained energy Added energy lost in excreta MEn intake Teeter et al. 2011; Broussard et al., 2008

Combinations of enzymes and DFMs increase the consistency of response in diverse levels of challenge 10/29/2015 Dersjant-Li et al., 2014

The development of deep sequencing techniques offers completely new insights into the role of the gut microbiome Carriage of microbial taxa varies while metabolic pathways remain stable within a healthy population C Huttenhower et al. Nature 486, 207-214 (2012) doi:10.1038/nature11234 10/29/2015 Fraher et al., 2012

Capturing increased animal performance 10/29/2015

Capturing value in commercial conditions Selection of enzymes should be based on the effects on undigestible substrates of base diets Enzymes combinations with significant, measurable and reliable activity levels are preferable: Wide and consistent range of functionalities Higher chance of reliable net benefits in variable commercial conditions Proactive management of nutrient interactions are necessary: Effect of Ca on phytase activity Estimation of AME and protein quality Respond to seasonal or supply driven changes in ingredient quality Optimization of gut health in critical 10/29/2015

Exogenous enzymes - Future R&D directions Increase research on application knowledge Ingredient, animal and additive interactions Improvements on in-vitro simulations Application of omics tools Proteomics. Increased digestion of undigested proteins Metagenomics. Increased energy from fibre; optimization of gut health Metabolomics and transcriptomics. Intestinal and systemic mechanisms New applications of enzymes beyond digestion of nutrients 10/29/2015

Thank you 10/29/2015 luis.romero@dupont.com

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