Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle

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Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Starter diets for broilers
taking into consideration the immaturity of the gut microbiome
                            Richard Ducatelle
          Department of Pathology, Bacteriology and Avian Medicine
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
CHALLENGES:
          1. Reduce antibiotic use in livestock production – decrease antimicrobial resistance

Antibiotics in Poultry – EU                 Antibiotics in Poultry - US
Ban of growth promoters in                  • Retailers are driving the reduction in antibiotic use.
Animal feed since 01-01-2006                  –McDonalds: 2017 – only chicken raised without medically
                                               important antibiotics.
                                              –Chick-fil-A: 2019 – No antibiotics ever.
                                              –Subway: 2016–No antibiotics ever

                                                                                                         2
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Celine De Maesschalck, University Ghent   3
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Earth worm
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Microbes have shaped the development of the GI-tract

            106 CFU/g

               Co-evolution

                                                       6
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Clostridium perfringens is the most succesful bacterial pathogen in this planet
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Viability (dashed line) and culturability (full line) of Butyricicoccus pullicaecorum after 2h at pH = 2

                                                                         (Geirnaert et al., 2014)

     The viable but non-culturable state
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Initial colonization of the caeca

                                    (Leurs et al., unpublished)
Starter diets for broilers - taking into consideration the immaturity of the gut microbiome Richard Ducatelle
Trace minerals
Effect of zinc speciation on broiler performance in the starter phase
                                              Starter diet   Grower diet   Finisher diet

                 Ingredient (%)
Feed formula:
                 Wheat                           49.29          55.62         59.00

                 Rye                             5.00           5.00           5.00

                 Soybean meal (48)               29.37          23.16         20.11

                 Soybeans                        7.50           7.50           7.50

                 Rapeseed meal                   2.00           2.00           2.00

                 Animal fat                      2.50           2.60           2.70

                 Soy oil                         1.00           1.00           1.00

                 Vitamin + trace (vitamix)§      1.000          1.000         1.000

                 CaCO3                           0.820          0.908         0.826

                 Di-Ca-phosphate                 0.650          0.361         0.107

                 NaCl                            0.264          0.226         0.268

                 Na-bicarbonate                  0.104          0.157         0.101

                 L-Lys-HCl                       0.160          0.175         0.154        + 50 ppm Zn-sulphate
                 DL-Methonine                    0.256          0.208         0.167                 or
                 L-threonine                     0.071          0.064         0.049        + 50 ppm ZnAA-chelate
                 Phytase                         0.020          0.020         0.020

                                                                                               (Degrande et al., 2019)
Effects of Zinc source on digestibility

                                 ZnS            ZnAA           P-value

Parameters

Feed intake (FI) (g)             1256 ± 49      1168 ± 90      0.059

Wet excreta (WE) (g)             1797 ± 72      1720 ± 146     0.271

WE/FI*                           0.300 ± 0.02   0.304 ± 0.01   0.731

Digestibility coefficients (%)

Gross energy                     72.0 ± 2.3     71.8 ± 1.7     0.878

Crude protein                    58.2 ± 2.9     57.1 ± 2.2     0.512

Crude fat                        78.8 ± 2.5     77.0 ± 4.3     0.423

Zinc                             32.7 ± 1.3     36.4 ± 2.7     0.020

                                                                         (Degrande et al., 2019)
Effect of zinc speciation on broiler performance in the starter phase

                Period              BW            BWG             FI           FCR

                                    (g/animal)    (g/animal/day   (g/animal/

                                                  )               day)

                0-10 days   ZnSO4   284.7 ± 5.6   24.4 ± 0.5      28.6 ± 0.9   1.172 ± 0.018

                            Zn-AA   290.5 ± 5.8   25.0 ± 0.5      28.7 ± 0.9   1.149 ± 0.012*

                                                                                                (Degrande et al., 2019)
Duodenum                  ZnS            ZnAA

Day 10

Villus length (VL)        1206 ± 221     1308 ± 155
                                                       *
Crypt depth (CD))         314.5 ± 76.6   301.6 ± 62.1

Ratio (VL:CD)             3.99 ± 1.05    4.52 ± 1.04
                                                       *
Thickness T. muscularis   94.8 ± 30.4    91.3 ± 21.8

                                                           (Degrande et al., 2019)
(Degrande et al., unpublished)
Metabolomics: negative
                                                                                                       ionization mode
Pathway identificiation            Pathway Hits.total   Hits.sig   Gamma
                                   total                           adjusted   Pathway identification                   Pathway Hits.total Hits.sig Gamma
                                                                   p-value                                             total                       adjusted
Amino sugar and nucleotide sugar   88       10          7          0.0005                                                                          p-value
metabolism
                                                                              Pentose phosphate pathway                32      18         6        0.0042
Galactose metabolism               41       11          7          0.0005
                                                                              Terpenoid backbone biosynthesis          33      3          2        0.0083
Valine, leucine & isoleucine       40       5           3          0.0023
degradation                                                                   Vitamin B6 metabolism                    32      8          3        0.0093
Starch and sucrose metabolism      50       5           3          0.0023     Cysteine and methionine metabolism       56      13         4        0.0098
Glycolysis or Gluconeogenesis      31       6           3          0.0037     Tryptophan metabolism                    79      9          3        0.0124
Valine, leucine & isoleucine       27       10          4          0.0037     Taurine and hypotaurine metabolism       20      5          2        0.0188
biosynthesis
                                                                              Histidine metabolism                     44      7          2        0.0339
Phenylalanine,tyrosine &           27       11          4          0.0053
tryptophan biosynthesis
                                                                              Pyrimidine metabolism                    60      14         3        0.0389
Pantothenate and CoA               27       16          5          0.0068     Valine, leucine and isoleucine           27      8          2        0.0429
biosynthesis                                                                  biosynthesis
Aminoacyl-tRNA biosynthesis        75       21          6          0.0081     Glycolysis or Gluconeogenesis            31       15        3        0.0463
Glycerophospholipid metabolism     39       8           3          0.0086     Nicotinate and nicotinamide              44       9         2        0.0527
Pentose phosphate pathway          32       10          3          0.0175     metabolism
Sphingolipid metabolism            25       5           2          0.0187     Pantothenate and CoA biosynthesis        27       9         2        0.0527
Sulfur metabolism                  18       5           2          0.0187
                                                                              Alanine, asparate and glutamate          24       10        2        0.0631
Fructose and mannose               48       16          4          0.0233
                                                                              metabolism
metabolism
                                                                              Inositol phosphate metabolism            39       10        2        0.0631
Methane metabolism                 34       6           2          0.0275
Lysine degradation                 47       17          4          0.0294     Pentose and glucuronate                  53       12        2        0.0852
Propanoate metabolism              35       7           2          0.0380     interconversions
Glycine, serine & threonine        48       19          4          0.0442     Glycine, serine and threonine            48       12        2        0.0852
metabolism                                                                    metabolism
Cysteine and methionine            56       22          4          0.0721     Phenylalanine, tyrosine and tryptophan   27       13        2        0.0967
metabolism                                                                    biosynthesis
Glutathione metabolism             38       10          2          0.0771     Pyruvate metabolism                      32       13        2        0.0967
Vitamin B6 metabolism              32       11          2          0.0918
                                                                                                                        (Degrande et al., unpublished)
Essential oils
Terpenes and terpenoids are the primary constituents of the
essential oils of many types of medicinal plants.

Terpenes are the major components of rosin.

Rosin is a solid form of resin obtained from pine trees.

It mainly consists of various resin acids, especially abietic acid.
Effect of resin acids on broiler performance in 13 institutional trials.

                    *                           *

                         *                  *

                                   *

                             *          *           *
                     *
                                    *                    *

                                                                  (Vuorenmaa et al., 2019)
In vivo
• Ross 308 broilers
• Control diet vs challenge diet
• + 0.2% resins
• Effect on intestinal microbiota and activity of host collagenases

In vitro
• Cell culture-based model of A549 cells, which express high levels of
  matrix metalloproteinase-7 (MMP-7) was used

                                                                      (Aguirre et al., 2019)
In vivo:

                             DAY 1-14

                                               *
                      1.4
                                       ***
      FCR
                      1.3
            Avg FCR

                      1.2

                      1.1

                      1.0
                                et

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                                                               (Aguirre et al., 2019)
In-feed resin acids prevent dysbiosis
                            diet-induced changes in duodenal villi
                                    Villus height                                                                                   CD3 area

                     2500
                                                                            Dysbiosis diet          20                                        *
                                                      *                                                                                                             Dysbiosis diet
                                                                            Control/Normal diet                                     *
                                           **                                                                                                                       Control/Normal diet
Villus height (µm)

                     2000                                                   Dysbiosis diet + RAC-250
                                                                                                                15                                                  Dysbiosis diet + RAC-250

                                                                                                 CD3 area (%)
                     1500                                                                                       10

                     1000                                                                                        5

                     500                                                                                         0
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                              Dysbiosis diet: shorter villi, more infiltration of CD3+ T-cells, and loss of performance (weight
                              gain)
                              Resins acids prevent dysbiosis diet-induced changes in duodenal villi                                                                                      (Aguirre et al., 2019)
Zymography
          Inhibition of mmp-7 expression in ileal tissue

                                                                       Ileum MMP7 gene expression

                                                            1.4

                                                            1.2

                                                             1

                                                            0.8

                                                            0.6

                                                            0.4
                                                                                                            *
                                                            0.2

                                                             0
                                                                  Control       Progres 3000
                                                                               Partially     g/tn
                                                                                         purified    FOR100
                                                                                                    pure    264.9
                                                                                                         resin    g/tn250 g/tn
                                                                                                               acids
                                                                               Resins 3 kg/tn
       MMP7
              Pre-pro-MMP7: 30 kDa (incl. signal peptide)
              Pro-MMP7: 28 kDa (without signal peptide)
              Mature MMP7: 18 kDa

                                                                                                                 (Aguirre et al., 2019)
Resin acids break down collagen types I and IV in the ileum of broilers
          Ileum

                  FIGURE 1. Breakdown of gelatin (A) and collagen types I and IV (B and C, respectively) in the ileum of broilers
                  with or without in-feed RAC (N=10, *p < 0.05, *p< 0.01)

                                                                                                                                    (Aguire et al., 2019)
Matrix metalloproteinases and wound repair

       Martins et al., 2012

                              • Wound healing requires the
                                controlled activity of MMPs at
                                all stages of the wound healing
                                process
                              • The loss of MMP regulation is a
                                characteristic     of   chronic
                                wounds and contributes to the
                                failure to heal
Wound healing assays
• CaCo-2 cells
• Collagen-coated plates
• Scratch induction: woundmaker
• Washed 2x with PBS
• The pH of the cell medium was
  measured beforehand.
• 48h-72h measurement
• One image per 2 hours
• Repeated 3 times
Resin acids: cell scratch wound healing

                                                                                                 Wound healing assay
                          0 hrs          12 hrs      24 hrs
                                                                                                                                     Resin acids (FOR-100 ultra)
                                                                                                120                                  Control
Resin acids (0,05%)                                                                                       ns
                                                                                                100                 ***        ***

                                                                            wound extension %
                                                                                                80

                          0 hrs          12 hrs       24 hrs                                    60

                                                                                                40

                                                                                                20
           Control
                                                                                                 0

                                                                                                       rs

                                                                                                                  s

                                                                                                                             s
                                                                                                                hr

                                                                                                                           hr
                                                                                                      H

                                                                                                               12

                                                                                                                          24
                                                                                                      0
                      0.01% resin acids promoted cell migration in a wound healing assay
Fiber
Cellulose         Starter: day 1-13

            ▪ 310 male Ross 308 broiler
              chicks
            ▪ Standard feed formula
            ▪ + 0.5% Cellulose (amorphous)
            ▪ 5h darkness
            ▪ Body weight
            ▪ Feed conversion ratio

                                             De Maesschalck et al., 2019
Day 10:

                  390                              1.5

                                                  1.48
                  380
                                                  1.46

                                                  1.44
Body weight (g)

                  370
                                                  1.42

                                            FCR
                  360                              1.4

                                                  1.38
                  350
                                                  1.36

                  340                             1.34

                                                  1.32
                  330                              1.3
                        control cellulose                control cellulose

                                                                             De Maesschalck et al., 2019
• Caecum:

            De Maesschalck et al., 2019
Alistipes genus
*Belongs to the phylum Bacteroidetes and is part of the chicken core microbiome

*Obligate strict anaerobe
                 (Pfleiderer et al., 2014)

*Gram-negative, non-spore-forming, non-motile
                                             (Shkoporov et al., 2015)

*Contains a powerful cellulase and is bile-resistant
                                                       (Pfleiderer et al., 2014)

*Main metabolic end product is succinate
                                             (Shkoporov et al., 2015)
Effect of cellulose on growth of Alistipes in nutrient-poor medium

                                            A.                                                               B.
                                                         p = 0.0095
        growth (log1 0 cfu Alistipes /ml)

                                            8

                                                                             Succinate concentration (mM)
                                                                                                            1.5
                                                            **                                                        p = 0.019
                                                                                                                          *
                                            7                                                               1.0

                                            6                                                               0.5

                                            5                                                               0.0
                                                 Blank           Cellulose                                        Blank       Cellulose
Fate of succinate production in the caeca

*SUCNR1 = GPR91 = succinate receptor
                                   (Ariza et al., 2012)

*Expressed on the surface of epithelial cells of small and large intestine in the mouse
                                                                                (Diehl et al., 2016)
Microbiota-Produced Succinate Improves Glucose Homeostasis via Intestinal Gluconeogenesis

Filipe De Vadder, Petia Kovatcheva-Datchary, Carine Zitoun, Adeline Duchampt, Fredrik Bäckhed, Gilles Mithieux

Cell Metabolism, Volume 24, Issue 1, 2016, 151–157
Conclusions
*The starter phase is characterized by successive waves of different microbial families colonizing the caeca

*The caecal lumen gradually becomes anaerobic between 1 and 10 days post hatch

*Nutrional tools may help establishing a healthy ecosystem in the gut

*Nutritional tools acting through stimulation of certain microbial families depend on the presence of these microbes

*Some nutritional tools act through direct supporting of epithelial cell metabolism

*Other nutritional tools act through preventing oxidative stress of the epithelial cells

*Other nutritional tools again act through damage repair of the intestinal mucosa

*Few nutritional tools act through supporting antibacterial defense mechanisms at the site of nutrient absorption
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