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The Effect of Xylooligosaccharide, Xylan, and Whole Wheat Bran on the Human Gut Bacteria

Chen, Miao, Liu, Shujun, Imam, Khandaker Md. Sharif Uddin, Sun, Lichao, Wang, Yulu, Gu, Tianyi, Wen, Boting, Xin, Fengjiao·2020·Frontiers in Microbiology

Abstract

Wheat bran is a cereal rich in dietary fibers that have high levels of ferulic acid, which has prebiotic effects on the intestinal microbiota and the host. Herein we explored the effect of xylooligosaccharide, xylan, and whole wheat bran on the human gut bacteria and screened for potential ferulic acid esterase genes. Using in vitro fermentation, we analyzed the air pressure, pH-value, and short-chain fatty acid levels. We also performed 16S rRNA gene and metagenomic sequencing. A Venn diagram analysis revealed that 80% of the core operational taxonomic units (OTUs) were shared among the samples, and most of the xylooligosaccharide treatment core OTUs (319/333 OTUs) were shared with the other two treatments’ core OTUs. A significant difference analysis revealed that the relative abundance of Dorea, Bilophila, and Sulfurovum in wheat bran treatment was higher than that in xylan and xylooligosaccharide treatments. The clusters of orthologous groups of proteins functional composition of all samples was similar to the microbiota composition of the control. Using metagenomic sequencing, we revealed seven genes containing the conserved residues, Gly-X-Ser-X-Gly, and the catalytic triad, Ser-His-Asp, which are thus potential ferulic acid esterase genes. All the results indicate that xylan and/or xylooligosaccharide, the main dietary fibers in wheat bran, plays a major role in in vitro fermentation by the human gut microbiota.

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Crossref · 10.3389/fmicb.2020.568457

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FIGURE 1 The in vitro fermentation strategy followed by the main methods of analysis.
FIGURE 1 The in vitro fermentation strategy followed by the main methods of analysis.CC BY · PubMed Central
FIGURE 2 The pH of the in vitro fermentation after 24 h. The significance of the differences in pH was calculated by Kruskal–Wallis test; ****P < 0.0001 compared with the control.
FIGURE 2 The pH of the in vitro fermentation after 24 h. The significance of the differences in pH was calculated by Kruskal–Wallis test; ****P < 0.0001 compared with the control.CC BY · PubMed Central
FIGURE 3 The Shannon diversity index of microbial communities under each treatment at 24 h. Significance was determined between WB and CK, X and CK, and XO and CK using Student’s t-test; ***P < 0.001. WB, wheat bran; X, xylan; XO, xylooligosaccharides.
FIGURE 3 The Shannon diversity index of microbial communities under each treatment at 24 h. Significance was determined between WB and CK, X and CK, and XO and CK using Student’s t-test; ***P < 0.001. WB, wheat bran; X, xylan; XO, xylooligosaccharides.CC BY · PubMed Central
FIGURE 4 Phylogenetic tree analysis. On the left is the phylogenetic tree. The different colors of the branches of the phylogenetic tree represent different phyla: red (Bacteroidetes), blue (Firmicutes), green (Actinobacteria), yellow (Proteobacteria), and purple (Fusobacteria). The length of the branch is the evolutionary distance between two species, namely, the degree of species difference. The right histogram shows the average number of reads belonging to different genus in each treatment. WB, wheat bran; X, xylan; XO, xylooligosaccharides.
FIGURE 4 Phylogenetic tree analysis. On the left is the phylogenetic tree. The different colors of the branches of the phylogenetic tree represent different phyla: red (Bacteroidetes), blue (Firmicutes), green (Actinobacteria), yellow (Proteobacteria), and purple (Fusobacteria). The length of the branch is the evolutionary distance between two species, namely, the degree of species difference. The right histogram shows the average number of reads belonging to different genus in each treatment. WB, wheat bran; X, xylan; XO, xylooligosaccharides.CC BY · PubMed Central
FIGURE 5 Venn diagram analysis; the total number of core operational taxonomic units (OTUs) shared and unique. “Size of each list” means the number of core OTUs from each treatment. “Number of elements” means the total number of shared core OTUs by two, three, and four groups or the total number of specific core OTUs in each treatment. Different colors represent different treatments, overlapping parts represent species that are common among multiple treatments, parts that do not overlap represent species that are specific to the treatment, and numbers indicate the number of corresponding species. WB, wheat bran; X, xylan; XO, xylooligosaccharides.
FIGURE 5 Venn diagram analysis; the total number of core operational taxonomic units (OTUs) shared and unique. “Size of each list” means the number of core OTUs from each treatment. “Number of elements” means the total number of shared core OTUs by two, three, and four groups or the total number of specific core OTUs in each treatment. Different colors represent different treatments, overlapping parts represent species that are common among multiple treatments, parts that do not overlap represent species that are specific to the treatment, and numbers indicate the number of corresponding species. WB, wheat bran; X, xylan; XO, xylooligosaccharides.CC BY · PubMed Central
FIGURE 6 Significant difference test between groups. WB, wheat bran; X, xylan; XO, xylooligosaccharides. Using Kruskal–Wallis H-test, the vertical axis represents the species name at the genus level, the column length corresponds to the average relative abundance of the species in each sample group, and the different colors indicate different groupings. The rightmost side is the P-value; 0.01 < ∗P≤0.05, ∗∗P≤0.01, ***P≤0.001.
FIGURE 6 Significant difference test between groups. WB, wheat bran; X, xylan; XO, xylooligosaccharides. Using Kruskal–Wallis H-test, the vertical axis represents the species name at the genus level, the column length corresponds to the average relative abundance of the species in each sample group, and the different colors indicate different groupings. The rightmost side is the P-value; 0.01 < ∗P≤0.05, ∗∗P≤0.01, ***P≤0.001.CC BY · PubMed Central
FIGURE 7 Phylogenetic distribution of the microbiota lineages in the four groups. WB, wheat bran; X, xylan; XO, xylooligosaccharides. The different color nodes represent microbiota communities that are significantly enriched in the corresponding groups and significantly influence the differences between the groups; the pale yellow nodes indicate that the microbial groups either have no significant effect on the different groups or have no significant effect on the differences between groups.
FIGURE 7 Phylogenetic distribution of the microbiota lineages in the four groups. WB, wheat bran; X, xylan; XO, xylooligosaccharides. The different color nodes represent microbiota communities that are significantly enriched in the corresponding groups and significantly influence the differences between the groups; the pale yellow nodes indicate that the microbial groups either have no significant effect on the different groups or have no significant effect on the differences between groups.CC BY · PubMed Central
FIGURE 8 Comparison of the conserved residues, Gly-X-Ser-X-Gly, and the catalytic triplet, Ser-His-Asp. Multiple alignment showing seven novel amino acid sequences with seven known ferulic acid esterase amino acid sequences. The blue asterisk indicates the conserved residues, G-X-S-X-G, and the triangle refers to the catalytic triplet, Ser-His-Asp. The sequences were obtained from Entry ID KX545370 (Lactobacillus amylovorus CGMCC 11056), Entry ID MK640209 (Lactobacillus crispatus S524), Entry ID KJ596484 (Lactobacillus helveticus KCCM 11223), Entry ID KX545371 (Lactobacillus acidophilus CCTCC AB2010208), Entry ID YP_004890534 (Lactobacillus plantarum TMW 1.460), Entry ID KX545372 (Lactobacillus farciminis CCTCC AB2016237), and Entry ID KX545373 (Lactobacillus fermentum CCTCC AB2010204) corresponding to Fae 744, FaeLac, LA, FaeLam, FaeLcr, LhCE, FaeLfe, lp_fae_2016, and FaeLfa.
FIGURE 8 Comparison of the conserved residues, Gly-X-Ser-X-Gly, and the catalytic triplet, Ser-His-Asp. Multiple alignment showing seven novel amino acid sequences with seven known ferulic acid esterase amino acid sequences. The blue asterisk indicates the conserved residues, G-X-S-X-G, and the triangle refers to the catalytic triplet, Ser-His-Asp. The sequences were obtained from Entry ID KX545370 (Lactobacillus amylovorus CGMCC 11056), Entry ID MK640209 (Lactobacillus crispatus S524), Entry ID KJ596484 (Lactobacillus helveticus KCCM 11223), Entry ID KX545371 (Lactobacillus acidophilus CCTCC AB2010208), Entry ID YP_004890534 (Lactobacillus plantarum TMW 1.460), Entry ID KX545372 (Lactobacillus farciminis CCTCC AB2016237), and Entry ID KX545373 (Lactobacillus fermentum CCTCC AB2010204) corresponding to Fae 744, FaeLac, LA, FaeLam, FaeLcr, LhCE, FaeLfe, lp_fae_2016, and FaeLfa.CC BY · PubMed Central

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Cites

Research works printed but not linked: 46

  1. Broekaert, 2011, Prebiotic and other health-related effects of cereal-derived arabinoxylans, arabinoxylan-oligosaccharides, and xylooligosaccharides., Crit. Rev. Food Sci. Nutr., 51, 178, 10.1080/10408390903044768 · DOI
  2. Burnet, 2013, Psychobiotics highlight the pathways to happiness., Biol. Psychiatry, 74, 708, 10.1016/j.biopsych.2013.08.002 · DOI
  3. Cani, 2007, Selective increases of bifidobacteria in gut microflora improve high-fat-diet-induced diabetes in mice through a mechanism associated with endotoxaemia., Diabetologia, 50, 2374, 10.1007/s00125-007-0791-790 · DOI
  4. Chen, 2020, The in vitro effect of fibers with different degrees of polymerization on human gut bacteria., Front. Microbiol., 11, 10.3389/fmicb.2020.00819 · DOI
  5. De Filippo, 2010, Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa., Proc. Natl. Acad. Sci. U.S.A., 107, 14691, 10.1073/pnas.1005963107 · DOI · Paper page
  6. De Paepe, 2018, Introducing insoluble wheat bran as a gut microbiota niche in an in vitro dynamic gut model stimulates propionate and butyrate production and induces colon region specific shifts in the luminal and mucosal microbial community., Environ. Microbiol., 20, 3406, 10.1111/1462-2920.14381 · DOI
  7. D’Hoe, 2018, Prebiotic wheat bran fractions induce specific microbiota changes., Front. Microbiol., 9, 10.3389/fmicb.2018.00031 · DOI
  8. Duncan, 2016, Wheat bran promotes enrichment within the human colonic microbiota of butyrate-producing bacteria that release ferulic acid., Environ. Microbiol., 18, 2214, 10.1111/1462-2920.13158 · DOI
  9. Fang, 2019, Effects of polysaccharides on glycometabolism based on gut microbiota alteration., Trends Food Sci. Technol., 92, 65, 10.1016/j.tifs.2019.08.015 · DOI
  10. Fava, 2013, New advances in the integrated management of food processing by-products in Europe: sustainable exploitation of fruit and cereal processing by-products with the production of new food products (NAMASTE EU)., New Biotechnol., 30, 647, 10.1016/j.nbt.2013.05.001 · DOI
  11. Fehlbaum, 2018, In vitro fermentation of selected prebiotics and their effects on the composition and activity of the adult gut microbiota., Int. J. Mol. Sci., 19, 10.3390/ijms19103097 · DOI
  12. Ferri, 2019, Advances in combined enzymatic extraction of ferulic acid from wheat bran., New Biotechnol., 56, 38, 10.1016/j.nbt.2019.10.010 · DOI
  13. Fu, 2012, CD-HIT: accelerated for clustering the next-generation sequencing data., Bioinformatics, 28, 3150, 10.1093/bioinformatics/bts565 · DOI · Paper page
  14. Hansen, 2019, Targeting gut microbiota and barrier function with prebiotics to alleviate autoimmune manifestations in NOD mice., Diabetologia, 62, 1689, 10.1007/s00125-019-4910-4915 · DOI
  15. Kelly, 2018, Characterisation of a hydroxycinnamic acid esterase from the Bifidobacterium longum subsp. longum Taxon., Front. Microbiol., 9, 10.3389/fmicb.2018.02690 · DOI
  16. Kumar, 2014, Potential applications of ferulic acid from natural sources., Biotechnol. Rep., 4, 86, 10.1016/j.btre.2014.09.002 · DOI
  17. Li, 2015, MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph., Bioinformatics, 31, 1674, 10.1093/bioinformatics/btv033 · DOI
  18. Li, 2008, SOAP: short oligonucleotide alignment program., Bioinformatics, 24, 713, 10.1093/bioinformatics/btn025 · DOI · Paper page
  19. Makki, 2018, The impact of dietary fiber on gut microbiota in host health and disease., Cell Host Microb., 23, 705, 10.1016/j.chom.2018.05.012 · DOI · Paper page
  20. Manisseri, 2010, Bioactive xylo-oligosaccharides from wheat bran soluble polysaccharides., LWT Food Sci. Technol., 43, 421, 10.1016/j.lwt.2009.09.004 · DOI
  21. Miguez, 2018, Potential of Fructooligosaccharides and xylooligosaccharides as substrates to counteract the undesirable effects of several antibiotics on elder fecal microbiota: a first in vitro approach., J. Agric. Food Chem., 66, 9426, 10.1021/acs.jafc.8b02940 · DOI
  22. Mori, 2018, Sulfurovum denitrificans sp. nov., an obligately chemolithoautotrophic sulfur-oxidizing Epsilonproteobacterium isolated from a hydrothermal field., Int. J. Syst. Evol. Microbiol., 68, 2183, 10.1099/ijsem.0.002803 · DOI
  23. Morrison, 2016, Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism., Gut Microb., 7, 189, 10.1080/19490976.2015.1134082 · DOI · Paper page
  24. Noguchi, 2006, MetaGene: prokaryotic gene finding from environmental genome shotgun sequences., Nucleic Acids Res., 34, 5623, 10.1093/nar/gkl723 · DOI
  25. Oh, 2019, Different dietary fibre sources and risks of colorectal cancer and adenoma: a dose-response meta-analysis of prospective studies., Br. J. Nutr., 122, 605, 10.1017/S0007114519001454 · DOI
  26. Quast, 2013, The SILVA ribosomal RNA gene database project: improved data processing and web-based tools., Nucleic Acids Res., 41, D590, 10.1093/nar/gks1219 · DOI · Paper page
  27. Robert, 2014, Deciphering key features in protein structures with the new ENDscript server., Nucleic Acids Res., 42, W320, 10.1093/nar/gku316 · DOI · Paper page
  28. Sasaki, 2018, Low amounts of dietary fibre increase in vitro production of short-chain fatty acids without changing human colonic microbiota structure., Sci. Rep., 8, 10.1038/s41598-017-18877-18878 · DOI
  29. Schwab, 2017, Trophic interactions of infant bifidobacteria and Eubacterium hallii during L-Fucose and fucosyllactose degradation., Front. Microbiol., 8, 10.3389/fmicb.2017.00095 · DOI
  30. Song, 2019, Protective effects of exopolysaccharide of a medicinal fungus on probiotic bacteria during cold storage and simulated gastrointestinal conditions., Int. J. Biol. Macromol., 133, 957, 10.1016/j.ijbiomac.2019.04.108 · DOI
  31. Suriano, 2017, Fat binding capacity and modulation of the gut microbiota both determine the effect of wheat bran fractions on adiposity., Sci. Rep., 7, 10.1038/s41598-017-05698-y · DOI
  32. Tang, 2020, Dietary fiber-based colon-targeted delivery systems for polyphenols., Trends Food Sci. Technol., 100, 333, 10.1016/j.tifs.2020.04.028 · DOI
  33. Tierney, 2019, The landscape of genetic content in the gut and oral human microbiome., Cell Host Microb., 26, 283, 10.1016/j.chom.2019.07.008 · DOI
  34. Toe, 2020, A prebiotic-enhanced lipid-based nutrient supplement (LNSp) increases Bifidobacterium relative abundance and enhances short-chain fatty acid production in simulated colonic microbiota from undernourished infants., FEMS Microbiol. Ecol., 96, 10.1093/femsec/fiaa105 · DOI
  35. Tremaroli, 2012, Functional interactions between the gut microbiota and host metabolism., Nature, 489, 242, 10.1038/nature11552 · DOI · Paper page
  36. Tuncil, 2018, Divergent short-chain fatty acid production and succession of colonic microbiota arise in fermentation of variously-sized wheat bran fractions., Sci. Rep., 8, 10.1038/s41598-018-34912-34918 · DOI
  37. Vuillermin, 2020, Maternal carriage of Prevotella during pregnancy associates with protection against food allergy in the offspring., Nat. Commun., 11, 10.1038/s41467-020-14552-14551 · DOI
  38. Waite, 2017, Comparative genomic analysis of the class Epsilonproteobacteria and proposed reclassification to Epsilonbacteraeota (phyl. nov.)., Front. Microbiol., 8, 10.3389/fmicb.2017.00682 · DOI
  39. Wang, 2019, In vitro colonic fermentation of dietary fibers: fermentation rate, short-chain fatty acid production and changes in microbiota., Trends Food Sci. Technol, 88, 1, 10.1016/j.tifs.2019.03.005 · DOI
  40. Wang, 2020, Efficient ferulic acid and xylo-oligosaccharides production by a novel multi-modular bifunctional xylanase/feruloyl esterase using agricultural residues as substrates., Bioresour. Technol., 297, 10.1016/j.biortech.2019.122487 · DOI
  41. Woting, 2016, The intestinal microbiota in metabolic disease., Nutrients, 8, 10.3390/nu8040202 · DOI · Paper page
  42. Yang, 2014, Production and in vitro fermentation of soluble, non-digestible, feruloylated oligo- and polysaccharides from maize and wheat brans., J. Agric. Food Chem., 62, 159, 10.1021/jf404305y · DOI
  43. Yao, 2020, Site-directed mutagenesis of coenzyme-independent carotenoid oxygenase CSO2 to enhance the enzymatic synthesis of vanillin., Appl. Microbiol. Biotechnol., 104, 3897, 10.1007/s00253-020-10433-10431 · DOI
  44. Yu, 2020, Single-anastomosis duodenal jejunal bypass improve glucose metabolism by regulating gut microbiota and short-chain fatty acids in goto-kakisaki rats., Front. Microbiol., 11, 10.3389/fmicb.2020.00273 · DOI
  45. Zheng, 2020, The gut microbiome modulates gut-brain axis glycerophospholipid metabolism in a region-specific manner in a nonhuman primate model of depression., Mol. Psychiatry., 10.1038/s41380-020-0744-2 · DOI
  46. Zhou, 2020, Distinct microbiota dysbiosis in patients with non-erosive reflux disease and esophageal adenocarcinoma., J. Clin. Med., 9, 10.3390/jcm9072162 · DOI

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Metadata

Authors
Chen, M., Liu, S., Imam, K. M. S. U., Sun, L., Wang, Y., Gu, T., Wen, B., & Xin, F.
Venue
Frontiers in Microbiology
Published
2020-12-03
Volume
11
ISSN
1664-302X
Cited by
18
References
1

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