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. 2021 Sep 20;16(9):e0257681.
doi: 10.1371/journal.pone.0257681. eCollection 2021.

Xylanase impact beyond performance: A microbiome approach in laying hens

Affiliations

Xylanase impact beyond performance: A microbiome approach in laying hens

Veerle Van Hoeck et al. PLoS One. .

Abstract

Anti-nutritional compounds such as non-starch polysaccharides (NSP) are present in viscous cereals used in feed for poultry. Therefore, exogenous carbohydrases are commonly added to monogastric feed to degrade these NSP. Our hypothesis is that xylanase not only improves laying hen performance and digestibility, but also induces a significant shift in microbial composition within the intestinal tract and thereby might exert a prebiotic effect. In this context, a better understanding on whether and how the chicken gut microbial population can be modulated by xylanase is required. To do so, the effects of dietary supplementation of xylanase on performance, apparent total tract digestibility (ATTD) and cecal microbiome in laying hens were evaluated in the present study. A total of 96 HiSex laying hens were used in this experiment (3 diets and 16 replicates of 2 hens). Xylanase was added to the diets at concentrations of 0, 45,000 (15 g/t XygestTM HT) and 90,000 U/kg (30 g/t Xygest HT). The diets were based on wheat (~55%), soybean and sunflower meal. The lowest dosage, 45,000 U/kg, significantly increased average egg weight and improved feed efficiency compared to the control treatment (P<0.05). Egg quality parameters were significantly improved in the experiment in response to the xylanase addition. For example, during the last 28 days of the trial, birds receiving the 45,000 U/kg and the 90,000 U/kg treatments exhibited an increase in Haugh units and albumin heights (P<0.05). Compared with the control, the ATTD of organic matter and crude protein were drastically improved in the 45,000 U/kg treatment group (P<0.05). Furthermore, gross energy and the ATTD of crude fat were improved significantly for birds fed 90,000 U/kg group compared to the control. Importantly, 16S rRNA gene analysis revealed that xylanase at 45,000 U/kg dosage can exert a change in the cecal microbiome. A significant increase in beneficial bacteria (Bacilli class; Enterococcaceae and Lactobacillales orders; Merdibacter, Enterococcus and Nocardiopsis genera; Enterococcus casseliflavus species) was documented when adding 45,000 U/kg xylanase to the diet of laying hens. In conclusion, dietary supplementation of xylanase 45,000 U/kg significantly improved laying hen performance and digestibility. Furthermore, microbiome data suggest that xylanase modulates the laying hen bacterial population beneficially, thus potentially exerting a prebiotic effect.

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Conflict of interest statement

The funding is funded by Kemin Europa N.V. This does not alter the authors’ adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1
Fig 1. Scanning electronic visualisation of wheat from the negative control (no Xygest HT exposure) versus wheat exposed to Xygest HT.
Fig 2
Fig 2. At week 12, eggs were commercially classified based on egg weights.
All eggs laid in a 24-hour period were collected, weighed individually and classified commercially (S, M, L, XL), where S < 52.5 g; 52.5 g≤ M < 62.5 g: 62.5 g ≤ L< 72.5 g; XL > 72.5 g. The total number of eggs classified is 621.
Fig 3
Fig 3. T-test comparison between groups based on “class”.
Only the classes displaying a significantly different abundance between treatments are presented (P<0.05).
Fig 4
Fig 4. T-test comparison between groups based on “family”.
Only the families displaying a significantly different abundance between treatments are presented (P<0.05).
Fig 5
Fig 5. T-test comparison between groups based on “genus”.
Only the genera displaying a significantly different abundance between treatments are presented (P<0.05).
Fig 6
Fig 6. T-test comparison between groups based on “order”.
Only the orders displaying a significantly different abundance between treatments are presented (P<0.05).
Fig 7
Fig 7. T-test comparison between groups based on “species”.
Only the species displaying a significantly different abundance between treatments are presented (P<0.05).
Fig 8
Fig 8. Top 10 genera abundance across the different samples.
Fig 9
Fig 9. LDA analysis bar chart comparing the two treatment groups.
The latter chart highlights potential biomarkers. In this chart, c_ indicates “class”, o_ indicates “order”, s_ indicates “species”. The LDA scores are shown as the results of LEfSe analysis for evaluating of biomarkers with statistically difference among groups. The histogram of the LDA scores represents species (biomarker) whose abundance shows significant differences among groups. The selecting criteria is that LDA scores are larger than the set threshold (4 set by default). The length of each bin, namely the LDA score, represents the effect size (the extent to which a biomarker can explain the differentiating phenotypes among groups).
Fig 10
Fig 10. Taxonomy tree of the control group.
Top 10 genera in high relative abundance by default were selected to make the taxonomy tree. The species name in red refers to the lower abundance, close to zero. The size of circles represents the relative abundance of species. The first number below the taxonomic name represents the percentage in the whole taxon, while the second number represents the percentage in the selected taxon.
Fig 11
Fig 11. Taxonomy tree of the 45,000 U/kg group.
Top 10 genera in high relative abundance by default were selected to make the taxonomy tree. The species name in red refers to the lower abundance, close to zero. The size of circles represents the relative abundance of species. The first number below the taxonomic name represents the percentage in the whole taxon, while the second number represents the percentage in the selected taxon.

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