Protein, peptide, amino acid composition, and potential functional properties of existing and novel dietary protein sources for monogastrics

S.K. Kar*, A.J.M. Jansman, S. Boeren, L. Kruijt, M.A. Smits

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

Replacement of current protein resources for novel or alternative sources may be one of the solutions to abolish the expected scarcity of dietary protein for animal feeds. However, little is known about the nutritional, protein composition, and potential functional value of such novel or alternative protein sources. In the present study, we used advanced proteomic and bioinformatic approaches to characterize the protein component of 6 different protein sources and predicted the biofunctionalities of their in vivo digestion products. We used casein (CAS), partially delactosed whey powder (DWP), spray-dried porcine plasma (SDPP), soybean meal (SBM), wheat gluten meal (WGM), and yellow meal worm (YMW). We characterized and semiquantified the individual proteins present in these resources by nano-liquid chromatography–LTQ Orbitrap–mass spectrometry (nLCMS). Based on the data obtained, we calculated the AA composition of the proteins that constitute 90% of the total calculated protein content and compared this with the chemically deter-mined AA compositions of the corresponding protein sources. By the use of bioinformatic procedures, we predicted the bioactive properties of these protein sources after in silico digestion with monogastric proteolytic enzymes. We detected and semiquantified 37, 58, 85, 188, 113, and 33 different individual proteins in CAS, DWP, SDPP, SBM, WGM, and YMW, respectively. The calculated AA composition of the various protein sources was almost identical to the chemically determined composition, with correlation values ranging from 0.85 to 0.94. Furthermore, we revealed that the selected protein sources are potentially rich in bioactive peptides, in particular of angiotensin-converting enzyme inhibitors and peptides with antioxidative properties. We discuss the results in terms of the benefit of the applied nLCMS-based approach for analyzing protein feed ingredients and the use of these alternative sources of protein in animal feeds for monogastrics. Furthermore, we discuss new potential applications of this method in the area of (animal) nutrition.

Original languageEnglish
Pages (from-to)30-39
JournalJournal of Animal Science
Volume94
Issue number7 supplement 3
DOIs
Publication statusPublished - 2016

Fingerprint

Amino Acids, Peptides, and Proteins
monogastric livestock
Dietary Proteins
amino acid composition
protein sources
functional properties
dietary protein
peptides
Proteins
whey powder
proteins
Meals
wheat gluten
protein composition
bioinformatics
soybean meal
spectroscopy
casein
digestion
swine

Keywords

  • Amino acid
  • Bioactive peptide
  • Bioinformatics
  • Monogastric
  • Novel proteins
  • Peptides

Cite this

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title = "Protein, peptide, amino acid composition, and potential functional properties of existing and novel dietary protein sources for monogastrics",
abstract = "Replacement of current protein resources for novel or alternative sources may be one of the solutions to abolish the expected scarcity of dietary protein for animal feeds. However, little is known about the nutritional, protein composition, and potential functional value of such novel or alternative protein sources. In the present study, we used advanced proteomic and bioinformatic approaches to characterize the protein component of 6 different protein sources and predicted the biofunctionalities of their in vivo digestion products. We used casein (CAS), partially delactosed whey powder (DWP), spray-dried porcine plasma (SDPP), soybean meal (SBM), wheat gluten meal (WGM), and yellow meal worm (YMW). We characterized and semiquantified the individual proteins present in these resources by nano-liquid chromatography–LTQ Orbitrap–mass spectrometry (nLCMS). Based on the data obtained, we calculated the AA composition of the proteins that constitute 90{\%} of the total calculated protein content and compared this with the chemically deter-mined AA compositions of the corresponding protein sources. By the use of bioinformatic procedures, we predicted the bioactive properties of these protein sources after in silico digestion with monogastric proteolytic enzymes. We detected and semiquantified 37, 58, 85, 188, 113, and 33 different individual proteins in CAS, DWP, SDPP, SBM, WGM, and YMW, respectively. The calculated AA composition of the various protein sources was almost identical to the chemically determined composition, with correlation values ranging from 0.85 to 0.94. Furthermore, we revealed that the selected protein sources are potentially rich in bioactive peptides, in particular of angiotensin-converting enzyme inhibitors and peptides with antioxidative properties. We discuss the results in terms of the benefit of the applied nLCMS-based approach for analyzing protein feed ingredients and the use of these alternative sources of protein in animal feeds for monogastrics. Furthermore, we discuss new potential applications of this method in the area of (animal) nutrition.",
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author = "S.K. Kar and A.J.M. Jansman and S. Boeren and L. Kruijt and M.A. Smits",
year = "2016",
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language = "English",
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Protein, peptide, amino acid composition, and potential functional properties of existing and novel dietary protein sources for monogastrics. / Kar, S.K.; Jansman, A.J.M.; Boeren, S.; Kruijt, L.; Smits, M.A.

In: Journal of Animal Science, Vol. 94, No. 7 supplement 3, 2016, p. 30-39.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Protein, peptide, amino acid composition, and potential functional properties of existing and novel dietary protein sources for monogastrics

AU - Kar, S.K.

AU - Jansman, A.J.M.

AU - Boeren, S.

AU - Kruijt, L.

AU - Smits, M.A.

PY - 2016

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N2 - Replacement of current protein resources for novel or alternative sources may be one of the solutions to abolish the expected scarcity of dietary protein for animal feeds. However, little is known about the nutritional, protein composition, and potential functional value of such novel or alternative protein sources. In the present study, we used advanced proteomic and bioinformatic approaches to characterize the protein component of 6 different protein sources and predicted the biofunctionalities of their in vivo digestion products. We used casein (CAS), partially delactosed whey powder (DWP), spray-dried porcine plasma (SDPP), soybean meal (SBM), wheat gluten meal (WGM), and yellow meal worm (YMW). We characterized and semiquantified the individual proteins present in these resources by nano-liquid chromatography–LTQ Orbitrap–mass spectrometry (nLCMS). Based on the data obtained, we calculated the AA composition of the proteins that constitute 90% of the total calculated protein content and compared this with the chemically deter-mined AA compositions of the corresponding protein sources. By the use of bioinformatic procedures, we predicted the bioactive properties of these protein sources after in silico digestion with monogastric proteolytic enzymes. We detected and semiquantified 37, 58, 85, 188, 113, and 33 different individual proteins in CAS, DWP, SDPP, SBM, WGM, and YMW, respectively. The calculated AA composition of the various protein sources was almost identical to the chemically determined composition, with correlation values ranging from 0.85 to 0.94. Furthermore, we revealed that the selected protein sources are potentially rich in bioactive peptides, in particular of angiotensin-converting enzyme inhibitors and peptides with antioxidative properties. We discuss the results in terms of the benefit of the applied nLCMS-based approach for analyzing protein feed ingredients and the use of these alternative sources of protein in animal feeds for monogastrics. Furthermore, we discuss new potential applications of this method in the area of (animal) nutrition.

AB - Replacement of current protein resources for novel or alternative sources may be one of the solutions to abolish the expected scarcity of dietary protein for animal feeds. However, little is known about the nutritional, protein composition, and potential functional value of such novel or alternative protein sources. In the present study, we used advanced proteomic and bioinformatic approaches to characterize the protein component of 6 different protein sources and predicted the biofunctionalities of their in vivo digestion products. We used casein (CAS), partially delactosed whey powder (DWP), spray-dried porcine plasma (SDPP), soybean meal (SBM), wheat gluten meal (WGM), and yellow meal worm (YMW). We characterized and semiquantified the individual proteins present in these resources by nano-liquid chromatography–LTQ Orbitrap–mass spectrometry (nLCMS). Based on the data obtained, we calculated the AA composition of the proteins that constitute 90% of the total calculated protein content and compared this with the chemically deter-mined AA compositions of the corresponding protein sources. By the use of bioinformatic procedures, we predicted the bioactive properties of these protein sources after in silico digestion with monogastric proteolytic enzymes. We detected and semiquantified 37, 58, 85, 188, 113, and 33 different individual proteins in CAS, DWP, SDPP, SBM, WGM, and YMW, respectively. The calculated AA composition of the various protein sources was almost identical to the chemically determined composition, with correlation values ranging from 0.85 to 0.94. Furthermore, we revealed that the selected protein sources are potentially rich in bioactive peptides, in particular of angiotensin-converting enzyme inhibitors and peptides with antioxidative properties. We discuss the results in terms of the benefit of the applied nLCMS-based approach for analyzing protein feed ingredients and the use of these alternative sources of protein in animal feeds for monogastrics. Furthermore, we discuss new potential applications of this method in the area of (animal) nutrition.

KW - Amino acid

KW - Bioactive peptide

KW - Bioinformatics

KW - Monogastric

KW - Novel proteins

KW - Peptides

U2 - 10.2527/jas.2015-9677

DO - 10.2527/jas.2015-9677

M3 - Article

VL - 94

SP - 30

EP - 39

JO - Journal of Animal Science

JF - Journal of Animal Science

SN - 0021-8812

IS - 7 supplement 3

ER -