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Wheat storage proteins, the GLIA/GLUT ratio, and structural, rheological and immunological implications

by luciano

Abstract

The wheat storage proteins that form gluten comprise mainly monomeric gliadins and polymeric glutenins. Gliadins contribute primarily to dough viscosity and extensibility, whereas glutenins, through polymers stabilised by intermolecular disulphide bonds, support elasticity, strength and stability. The GLIA/GLUT ratio – total gliadins divided by total glutenins – is therefore a useful indicator of the balance between the two fractions, but it is not an absolute property of a wheat species: it depends on genotype, environment, fertilisation, sample matrix and analytical method. In comparisons performed with uniform procedures, common wheat generally has lower ratios, whereas spelt, durum wheat, emmer and especially einkorn often have higher ratios. In the largest comparative dataset available, based on 15 cultivars per species grown at four locations, the observed ranges were 1.6-3.8 for common wheat, 2.3-4.8 for spelt, 2.1-7.5 for durum wheat, 3.011.1 for emmer and 3.7-12.1 for einkorn [3]. These ranges describe that specific experimental design and must not be turned into universal thresholds.

Technologically, a high ratio is generally associated with softer, more extensible and less stable doughs with lower bread-making performance. The ratio alone, however, does not determine quality. Total protein quantity, HMW-GS and LMW-GS composition, polymer size, glutenin macropolymer content, molecular-weight distribution, and interactions with starch, lipids, fibres and enzymes also matter [1-5]. Clinically, GLIA/GLUT measures neither safety for people with coeliac disease nor individual digestibility: einkorn contains sequences capable of activating the coeliac immune response and is not suitable for a gluten-free diet [9-11].

What are gliadins and glutenins?

Wheat grain proteins are traditionally divided, according to solubility, into albumins, globulins, gliadins and glutenins. Gliadins and glutenins are the main storage proteins of the endosperm and, after hydration and mixing, form the protein component of gluten [1].

1.1 Gliadins

Gliadins are mostly monomeric proteins soluble in aqueous alcohol. Based on electrophoretic mobility and sequence, they are grouped mainly into alpha/beta-, gamma- and omega-gliadins. Many alpha/beta- and gamma-gliadins contain intramolecular disulphide bonds but do not normally build the large intermolecular polymers typical of glutenins. In dough they act mainly as viscous, plasticising components: they promote flow and extensibility and, within limits, reduce network rigidity [1,2].

1.1.1 The subclasses are not equivalent The alpha/beta, gamma and omega classification is not merely descriptive: it reflects differences in sequence, sulphur content, structure and interaction with the network. Their functions are not rigidly isolated, however; each fraction contains many proteins and alleles, and the observed effect depends on the flour in which it occurs.

• Alpha/beta-gliadins: rich in glutamine and proline, usually with six cysteines forming three intramolecular disulphide bonds. They do not become stable parts of the glutenin macropolymer, but participate in hydrogen bonding and hydrophobic interactions. Addition experiments show that they mainly increase mobility and extensibility, generally weakening dough less than gamma- and omega-gliadins [12,13].

• Gamma-gliadins: generally contain eight cysteines and a more disulphide-rich intramolecular structure. They remain predominantly monomeric but interact strongly through non-covalent bonds; during baking, some may bind covalently to glutenins through thiol-disulphide exchange. In controlled tests, the gamma fraction caused the greatest reduction in mixing time and maximum resistance to extension, indicating a marked softening and fluidising effect [12,14].

• Omega-gliadins: very rich in glutamine and proline and poor in, or devoid of, cysteine. Except for rare variants, they cannot form disulphide bonds and depend mainly on hydrogen bonds and hydrophobic interactions. They are the most characteristically viscous fraction: they reduce loaf stability and height, and in a 2024 investigation of 74 genotypes their relative proportion was positively associated with dough stickiness [13,15].

1.2 Glutenins

Glutenins are assembled into polymers through intermolecular disulfide bonds. Their subunits are classified as HMW-GS (high-molecular-weight glutenin subunits) and LMW-GS (low-molecular-weight glutenin subunits). HMW-GS account for a quantitatively smaller proportion, but strongly influence polymer size and architecture; LMW-GS are more abundant and also contribute to the network. Together they confer resistance to deformation, elasticity, recovery capacity and mixing stability [1,2].

1.3 Gluten is a system: the central role of the glutenin macropolymer

Describing gluten as simply the sum of gliadins and glutenins is useful but incomplete. The decisive property is not only how much glutenin is present, but how much of it is organized into very large polymers and how those polymers are connected. The fraction of greatest technological interest is referred to as the glutenin macropolymer (GMP) or — depending on the extraction method — as unextractable polymeric protein (UPP), meaning polymeric protein not extractable in SDS without a reducing agent. GMP and UPP are not perfect analytical synonyms, but both describe the most aggregated and least soluble portion of the glutenin network [2,16]. The macropolymer is formed mainly through intermolecular disulfide bonds. HMW-GS act as extension and branching elements of the backbone, while the more numerous LMW-GS expand and connect the network. This is not a static mesh: during hydration and mixing, disulfide bonds, hydrogen bonds and hydrophobic interactions break and reform. Mechanical energy aligns and brings the chains closer together; thiol–disulfide exchange permits redistribution of the connections. A continuous network thus develops, capable of deforming, storing elastic energy and partially recovering its shape. The amount of GMP/UPP and the molecular-size distribution are often more closely correlated with dough strength and loaf volume than total protein content or GLIA/GLUT alone. If the polymer is abundant, has high molecular mass and is well connected, bubble walls resist gas pressure. If it is scarce or depolymerized, the dough may contain much protein yet still behave as a weak, viscous and yielding system [2,16,17]. Gliadins occupy the spaces between these polymers and modulate their mobility. Water, starch, lipids, arabinoxylans, fibre, salts, enzymes and redox state further modify hydration and protein contacts. Two flours with the same GLIA/GLUT may therefore perform differently if they differ in GMP/UPP, HMW-GS/LMW-GS ratio, alleles present, molecular-mass distribution or total protein quantity [2,4,5].

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Figure 1 — The glutenin macropolymer as the link between protein composition and dough properties.

Definition and correct interpretation of the GLIA/GLUT ratio

The ratio is defined as: GLIA/GLUT = total gliadins / total glutenins. A value of 2 means that, in the material quantified using that method, gliadins are twice the amount of glutenins. If — and only if — both quantities are expressed on the same basis and their sum represents the gluten under consideration, the relative proportion can be derived mathematically: gliadin proportion = R / (1 + R); glutenin proportion = 1 / (1 + R).

 

GLIA/GLUT (R)

Gliadins in GLIA + GLUT

Glutenins in GLIA + GLUT

2.0

66.7%

33.3%

4.0

80.0%

20.0%

8.0

88.9%

11.1%

12.0

92.3%

7.7%

 

Comparison among species: what the data really show

The most informative comparison is one in which different species are grown and analysed using the same protocol. Geisslitz and colleagues studied 300 samples: 15 cultivars of each of five species, grown at four locations in the same year. The flours were wholemeal and the protein fractions were determined using an adapted spectrophotometric procedure validated against RP-HPLC [3].

 

Species

Ploidy / genome

Observed GLIA/GLUT range

Common wheat (T. aestivum)

hexaploid, AABBDD

1.6–3.8

Spelt (T. spelta)

hexaploid, AABBDD

2.3–4.8

Durum wheat (T. durum)

tetraploid, AABB

2.1–7.5

Emmer (T. dicoccum)

tetraploid, AABB

3.0–11.1

Einkorn (T. monococcum)

diploid, AA

3.7–12.1

 

[3]. Observed GLIA/GLUT range Species Ploidy / genome Common wheat (T. aestivum) hexaploid, AABBDD 1.6–3.8 Spelt (T. spelta) hexaploid, AABBDD 2.3–4.8 Durum wheat (T. durum) tetraploid, AABB 2.1–7.5 Emmer (T. dicoccum) tetraploid, AABB 3.0–11.1 Einkorn (T. monococcum) diploid, AA 3.7–12.1 The trend is clear: within the same experimental design, einkorn generally falls toward the higher values, whereas common wheat has lower values. The ranges, however, overlap. It is therefore incorrect to assign a single value to each species or to infer the species from the measured ratio [3]. An earlier standardized study of eight cultivars per species, grown at a single location, found approximate mean ratios of 2.6 in common wheat, 3.5 in spelt, 5.2 in emmer and 8.0 in einkorn. The same study showed that glutenin content, HMW-GS and glutenin macropolymer were more informative predictors of loaf volume than protein content alone [2].

3.1 Why values must not be transferred without caution

  • The ratio varies among cultivars of the same species.
  • Environment, temperature, water availability and nitrogen modify the accumulation and proportions of the fractions.
  • White flour, semolina, wholemeal flour, isolated gluten and whole grain are not equivalent matrices.
  • Osborne extraction, RP-HPLC, SE-HPLC, LC-MS and ELISA do not necessarily measure the same protein populations with the same recovery.
  • Calibrants, glutenin solubilization and the basis used to express the result can also change the final value. A recent comparison between RP-HPLC and ELISA on 80 common-wheat flours is instructive: RP-HPLC yielded a GLIA/GLUT range of 1.3–2.9 (median 2.0), whereas ELISA yielded 0.8–7.5 (median 2.3); the correlation between the ratios obtained with the two methods was weak [6]. The ratio must therefore be accompanied by the matrix, protocol and calculation units.

Why einkorn tends to have a high ratio

Einkorn possesses only the A genome. Durum wheat possesses the A and B genomes; common wheat the A, B and D genomes. This different genomic architecture means that einkorn has only one Glu-1 homoeologous locus for HMW-GS, whereas polyploid wheats possess loci on the different genomes. It is correct to refer to a smaller number of available homoeologous loci, but not to necessarily “low diversity” at the Glu-A1 locus: broad allelic variability exists in diploid populations [7]. The smaller genomic complement does not determine the ratio by itself. The final phenotype depends on allele expression, the relative amounts of gliadins and glutenins, HMW/LMW composition and the capacity to build large polymers. In comparative datasets, einkorn often has less glutenin, fewer HMW-GS and less glutenin macropolymer, consistently with softer doughs and, on average, poorer bread-making performance [2,3].

4.1 Gliadins as plasticizers

A plasticizer is a molecule that, by inserting itself between polymer chains, increases their relative mobility and reduces overall rigidity. Gliadins perform an analogous function because they are relatively compact and predominantly monomeric molecules: they do not extend the network through intermolecular disulfide bonds, but position themselves between glutenin polymers and interact with them mainly through hydrogen bonds and hydrophobic forces. In this way they increase the distance and the possibility of sliding between glutenin segments, reduce the effective density of elastic connections per unit volume and facilitate energy dissipation. Rheologically, they reduce the time and work required for mixing, resistance to extension and stability, while increasing deformability and extensibility. Water cooperates in this effect: by hydrating proteins and polar groups, it screens some protein–protein interactions and further increases molecular mobility [4,5,12,13]. “Plasticizer,” however, does not mean an inert substance. Different gliadins have different structures, hydrophobicity and behaviour; α/β- and γ-gliadins can participate in non-covalent aggregation and, under certain baking conditions, in links with glutenins. The term therefore describes their average effect on the system, not an identical function for every molecule [12–14].

Rheological consequences, stickiness and bread-making quality

All other conditions being equal, an increase in GLIA/GLUT tends to shift the balance from an elastic response toward a viscous one. Experiments in which gliadins and glutenins were added in controlled proportions show that more glutenins increase mixing time and resistance to extension and reduce extensibility; more gliadins produce the opposite effect [4,5]. In practical terms, a high ratio is often associated with:

  • faster development but lower tolerance to prolonged mixing;
  • softer, stickier or more yielding dough;
  • greater extensibility and lower resistance to stretching;
  • lower capacity to stabilize gas bubbles during fermentation and baking;
  • lower average specific loaf volume. These are trends, not automatic equivalences. The alveograph W value cannot be predicted from the GLIA/GLUT ratio alone. Hydration, glutenin-subunit quality, polymerization, starch damage, fibre, enzymatic activity and the bread-making process can attenuate or amplify the outcome. Moreover, a flour less suitable for high-volume bread may be suitable for biscuits, low-leavened products or formulations that make use of extensibility.

5.1 Why dough becomes sticky

Stickiness — commonly described as “tackiness” — is the tendency of dough to adhere to hands, tools or surfaces. It is not simply the same as extensibility: a dough can stretch without adhering much, or it can be weak and sticky. Adhesion increases when a viscous and mobile phase predominates at the surface and the internal elastic network does not develop sufficient cohesion to detach cleanly. A high relative gliadin content promotes this condition because it increases molecular sliding and reduces the continuity of the glutenin macropolymer. The network retains water less effectively; the proportion of weakly bound or easily redistributed water increases and a more mobile surface layer forms. Overhydration, proteolysis, amylase activity, reduction of disulfide bonds and overmixing can also produce or aggravate the same phenomenon

[17]. Regarding the subclasses, the data do not allow stickiness to be said to be “caused by γ-gliadins.” γ-gliadins have shown a strong effect in reducing resistance and mixing time

[12]; however, in the comparative study most directly devoted to stickiness, it was significantly correlated with ω-gliadins and not with α/β- or γ-gliadins [15]. The most accurate formulation is therefore: γ-gliadins can contribute to softening; a high proportion of ω-gliadins appears to be more directly associated with stickiness; the final result depends on the balance with glutenins, GMP and water.

5.2 Practical implications for einkorn

The typical behaviour of einkorn — extensible but fragile dough, reduced stability during fermentation and greater sensitivity to overworking — is consistent with its high GLIA/GLUT and smaller proportion of glutenin polymers. This helps explain why techniques designed for strong common wheat cannot be transferred automatically. Less aggressive mixing, strict control of hydration and temperature, acidification, calibrated times and shaping that respects the structure may become more important than prolonged mechanical processing.

Wholemeal and refined flour: what can be stated

The previous document stated that wholemeal flour would slightly increase GLIA/GLUT because of a greater presence of gliadins in the peripheral layers, a concentration of

HMW-GS in the centre of the endosperm and enzymatic fragmentation of polymers. These explanations, presented as a general mechanism, are not adequately supported by the cited data. Including bran and germ increases non-gluten proteins, fibre, lipids and enzymes and certainly modifies dough behaviour. It does not follow, however, that the ratio between extracted gliadins and glutenins must systematically increase. The outcome depends on the spatial distribution of the fractions, degree of milling, extraction efficiency and analytical basis. Any proteolysis during storage or mixing can modify polymer size without automatically converting glutenins into gliadins. The methodologically correct conclusion is more restrained: data obtained from wholemeal flours should not be compared directly with data from white flours or semolina without a study using the same genotype, cultivation and method. Matrix differences can alter recovery and quantification; there is no universal correction.

Nitrogen fertilization: can it also increase strength?

Nitrogen generally increases protein content, but its effects on individual fractions are not constant. In many experiments gliadins respond more markedly, with a possible increase in GLIA/GLUT; in other cases the response depends on cultivar, dose, timing of application and growing conditions. A quantitative review of gluten-protein chemistry reports, in one specific comparison, an average increase in the ratio of about 4.6% with high nitrogen input, not a multiple-fold change [8]. The very low values attributed in the previous document to durum wheat under “low” and “high nitrogen” were not comparable with the other ranges and must not be used to support a general rule. If the method, matrix or even the orientation of the ratio (GLIA/GLUT or GLUT/GLIA) changes, apparently similar numbers can mean different things. There are, however, studies in which nitrogen fertilization increased not only the quantity of protein but also technological strength. In a three-year experiment on common wheat in Italy, late nitrogen at heading increased protein content by 1.2 percentage points and the alveograph W value by 22%; all gluten fractions increased to a similar extent, without a significant change in their relative ratios [18]. In this case, the greater strength derived mainly from the larger overall amount of functional protein. In near-isogenic lines treated with 0–120 kg N/ha at booting, nitrogen increased glutenins, HMW-GS, disulfide-bond concentration and the appearance of GMP during grain filling. Development time, stability and maximum dough resistance also increased; however, the magnitude of the response depended on the Glu-D1 allele [19]. Another study observed that combined nitrogen and sulfur application at anthesis increased polymeric proteins, molecular mass, compactness, strength and consistency [20]. The conclusion is therefore nuanced: yes, nitrogen can increase strength through more total protein and, under some conditions, more glutenins and greater polymerization. But this effect is not guaranteed. If nitrogen mainly favours gliadins, if sulfur is insufficient to synthesize cysteine-rich proteins, or if genotype and climate direct accumulation differently, the ratio may increase without a corresponding improvement in the network. Excessive dose, lodging, yield, application timing and environmental impact also prevent the technological finding from being turned into a general agronomic recommendation.

GLIA/GLUT ratio and biological implications: distinct levels

The GLIA/GLUT ratio originated as a compositional and technological descriptor. It is not a clinical index of coeliac toxicity, allergenicity or tolerability in non-coeliac wheat sensitivity.

8.1 Coeliac disease

In coeliac disease, peptides rich in proline and glutamine partially resist digestion; tissue transglutaminase 2 deamidates specific glutamine residues, increasing the affinity of certain peptides for HLA-DQ2 or HLA-DQ8 and promoting T-cell activation. Clinically relevant epitopes are not confined to a single fraction: they have been described in α-, γ- and ω-gliadins and also in glutenins [9–11]. Einkorn may show different peptide profiles and, in some ex vivo experiments, release fewer immunogenic peptides than other wheats. This does not make it safe: sequence catalogues and digestion studies show that it has the potential to activate coeliac disease. It must therefore be excluded from the diet of patients with coeliac disease [9–11].

8.2 What the secondary structure of proteins implies

Protein chains are not shapeless threads. Local segments adopt α-helices, β-sheets, β-turns or disordered conformations; these structures determine how closely chains can approach, form hydrogen bonds, expose hydrophobic groups and participate in aggregates. In β-sheets, adjacent segments are stabilized by an ordered network of hydrogen bonds; an increase in them may accompany aggregation and greater cohesion. α-helices are more compact intramolecular structures; disordered regions offer greater flexibility and accessibility. Conformation changes during mixing: an FTIR study observed coordinated increases in α-helix, β-turn and β-sheet and a reduction in random coil up to the point of optimum consistency. This indicates progressive ordering of the proteins as the network forms [21]. The relationship is not univocal, however: an increase in β-sheets can appear both in a more aggregated and resistant network and after depolymerization induced by reducing agents. Interpretation requires simultaneous knowledge of disulfide bonds, polymer molecular mass, hydration and rheological properties [17,22]. Secondary structure therefore has practical implications for: aggregation capacity; thermal stability; water retention and mobility; elasticity and viscosity; accessibility to digestive enzymes; and changes during mixing, fermentation and baking. On its own, however, it is not an index of quality or digestibility: it is one part of the structural mechanism and must be interpreted together with GMP organization and non-covalent interactions.

8.3 Non-coeliac sensitivity and individual tolerance

“Einkorn wheat is frequently used by people with non-coeliac gluten sensitivity (NCGS), although definitive clinical evidence validated on a large scale is lacking and subject to specific individual intolerances established clinically.

From a research perspective, the shortage of structured clinical studies is linked to economic sustainability: private funding tends to focus on proprietary industrial assets, while public institutions, constrained by limited resources, prioritise health areas with greater epidemiological impact.

Nevertheless, the current widespread consumption of this variety provides an empirical indicator in the community: any significant incidence of adverse reactions would be promptly detected and highlighted by active health-surveillance channels through the daily practice of general practitioners, gastroenterologists and nutritionists.”

How to use the GLIA/GLUT ratio correctly

The ratio is informative when used within a controlled comparison. Its interpretation requires at least:

  • species and cultivar;
  • year and growing environment;
  • sample type: grain, wholemeal flour, refined flour, semolina or isolated gluten;
  • extraction protocol and quantification technique;
  • exact definition of the fractions included;
  • total protein content and absolute gliadin and glutenin contents;
  • if the objective is technological, HMW-GS, LMW-GS, glutenin macropolymer and a rheological or bread-making measurement. The ratio is much less informative when isolated from the method or transformed into a health indicator. Two errors to avoid are: comparing numbers produced by different techniques as though they belonged to the same scale; and interpreting “less glutenin” as “less gluten” or “less immunogenicity.”

Conclusions

  • Gluten is formed mainly by monomeric gliadins and polymeric glutenins, which have complementary rheological functions.
  • A high GLIA/GLUT indicates a relative predominance of gliadins, but its value depends on genotype, environment, matrix and method.
  • In standardized comparisons, einkorn often has the highest ratios and smaller amounts of glutenins, HMW-GS and glutenin macropolymers.
  • This composition contributes to more extensible, less elastic and less stable doughs, but it does not determine all bread-making performance by itself.
  • Ploidy helps explain locus architecture, but does not justify describing einkorn as having little genetic variability.
  • Wholemeal flour has not been shown to universally increase GLIA/GLUT; comparisons among different matrices require consistent protocols.
  • GLIA/GLUT is not an index of clinical safety. Einkorn contains gluten and is not suitable for people with coeliac disease.
  • Stickiness cannot be attributed to a single gliadin: γ-gliadins can soften the network, whereas ω-gliadins show the most direct association with stickiness in the available data.
  • Nitrogen fertilization can increase dough strength, but the effect depends on genotype, sulfur, environment, dose and timing of application.
  • Secondary structure influences aggregation, water and rheology, but must be interpreted together with disulfide bonds and polymer size.

Final note — Which gluten structure is most suitable for bread, pasta and pizza?

There is no gluten composition that is best in absolute terms. Functional quality depends on the product and the process: bread primarily requires gas development and retention; dried pasta must retain a compact protein matrix during cooking; pizza must combine fermentation stability with ease of stretching. Protein quantity, GLIA/GLUT, HMW-GS, LMW-GS, GMP/UPP and interactions with starch and water must therefore be assessed together.

 

Figure 2 — The desirable gluten structure changes according to the product and the process.

Leavened bread

  • Desirable profile: a relatively high proportion of glutenins and unextractable polymeric proteins, abundant GMP/UPP and a distribution oriented toward high molecular masses.
  • Subunits: HMW-GS capable of supporting long, branched polymers are particularly important; in common wheat some combinations, such as 5+10 at the Glu-D1 locus, are often

associated with strong doughs, but the effect depends on the genetic background and the balance with LMW-GS [4,12].

  • Function: high elasticity, mixing stability, resistance to extension and the capacity to retain bubbles until baking. At equal protein content, increasing the glutenin/gliadin ratio tends to increase dough strength and loaf volume but reduce extensibility [23].
  • Limit: an excessively tenacious network requires more energy, expands with difficulty and can produce dough with poor extensibility; a sufficient proportion of gliadins is therefore needed to plasticize the network.

Dried durum-wheat semolina pasta

  • Desirable profile: an adequate protein quantity and a continuous, compact and poorly permeable network capable of enclosing starch granules and limiting their release into cooking water.
  • Subunits: in durum wheat, LMW-GS variability, especially at the Glu-B3 locus, is often more decisive than the proportion of HMW-GS alone. The LMW-2 pattern is generally associated with stronger gluten than LMW-1. γ-gliadin 45 is primarily a genetic marker linked to LMW-2, whereas γ-42 is more often linked to LMW-1; γ-gliadin alone does not determine quality [24].
  • Function: good firmness, lower surface stickiness and lower cooking losses. Recent studies nevertheless show that, within commercial ranges, protein content may matter more than strength and that the advantage of strong gluten emerges mainly with overcooking or weak semolina [25].
  • Limit: indiscriminately increasing HMW-GS or strength does not guarantee firmer pasta; the effects depend on genotype, protein quantity, starch and drying temperature [24,25].

Pizza

  • Desirable profile: an intermediate balance between the glutenin network and gliadin plasticization. The dough must retain gas during fermentation but also stretch into a thin disc without tearing or shrinking excessively.
  • Subunits and polymers: sufficient GMP/UPP and HMW-GS are needed to support hydration, fermentation and toppings; an excessive proportion of very large polymers or an excessively high glutenin/gliadin ratio can increase tenacity and elastic recoil. Gliadins, within a balanced ratio, facilitate stretching and expansion in the oven.
  • Process: a long-fermented, highly hydrated or pan-baked pizza generally requires greater stability than a thin pizza with short fermentation. For this reason, optimum composition cannot be separated from duration, temperature, acidification, proteolysis, hydration and baking method.
  • Limit: the W value, protein content or GLIA/GLUT, considered individually, do not identify the ideal flour. Studies on Neapolitan pizzas confirm the usefulness of combining alveographic, chemical and fermentation parameters [26].

Figure 3 — The ratio between the two protein families describes a continuum, not two rigid categories.

For fresh egg pasta or laminated pasta, the requirement changes again: excessive tenacity may hinder sheet rolling. The note on pasta therefore refers mainly to dried durum-wheat semolina pasta.

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GLIADIN AND GLUTENIN SUBUNITS IN EINKORN WHEAT

by luciano

Protein structure, dough behaviour and immune-system response

Central message. In einkorn wheat, knowing the total protein content or the number of electrophoretic bands is not enough. Properties depend on which subunits are present, their abundance, the positions of cysteines, the ability of glutenins to build polymers, and the peptides that remain after digestion. Technological performance and immunogenicity are distinct dimensions: a technologically superior cultivar is not necessarily biologically more favourable.

PART I – STICKINESS, VISCOSITY AND THE MACROPOLYMER IN EINKORN WHEAT

  1. Three terms that must not be confused

1.1 Stickiness

Stickiness is the tendency of dough to adhere to hands, tools or surfaces. It is an interfacial property: it arises at the contact between dough and an external material, but it also depends on internal structure. Highly deformable dough with poor elastic recovery and mobile water increases its true contact area and may leave residues when detached. Hydration, temperature, resting time, mixing, damaged starch, pentosans and proteolytic activity can alter stickiness even when protein sequences do not change.

Limit of the evidence. No published comparisons appear to have directly measured the stickiness of Monlis, ID331/Norberto and Hammurabi with the same instrumental test. The farinograph, alveograph, Gluten Index, SDS sedimentation and G′/G″ moduli describe related properties, but not the work required to detach dough from a surface.

1.2 Viscosity and viscoelasticity

Viscosity is resistance to flow. Dough, however, is not a simple liquid: it is viscoelastic. The G′ modulus represents the elastic component that stores energy and tends to recover its shape; G″ represents the dissipative, viscous component. Gliadins promote mobility and extensibility; glutenins, through disulfide-linked polymers, increase cohesion, resistance to deformation and especially G′. Both therefore contribute to overall viscous behaviour, but in different ways.

The “final viscosity” measured with the RVA mainly describes starch gelatinisation and retrogradation during heating and cooling. It is equivalent neither to the viscosity of the gluten network at room temperature nor to the stickiness of raw dough.

1.3 Glutenin macropolymer: from subunit to network

The glutenin macropolymer (GMP), often also studied as the SDS-unextractable polymeric protein fraction (UPP), consists of extremely large glutenin aggregates. HMW-GS create extension and branching points in the polymer; the more abundant LMW-GS make numerous connections and enlarge the network. Intermolecular disulfide bonds provide the covalent framework, supported by hydrogen bonds, hydrophobic interactions and physical entanglements.

During hydration and mixing, the network is not simply “created”: pre-existing polymers hydrate, align, break and reform through thiol-disulfide interchange. An abundant, well-connected GMP is generally associated with greater elasticity, stability and gas retention. If the polymer is small, poorly branched or depolymerised, softening, flow and collapse predominate.

Figure 1. From subunits to the network: HMW-GS and LMW-GS build the macropolymer; gliadins modulate its mobility and extensibility.

1.4 Do glutenins contribute to stickiness and viscosity?

They contribute to viscosity and viscoelasticity: polymer size, the HMW/LMW ratio and the UPP/GMP fraction affect resistance to flow, G′, stability and recovery. Their contribution to stickiness is mainly indirect. A functional glutenin network keeps dough cohesive, limits deformation at contact and promotes detachment; a weak network allows more spreading and surface residue. More glutenin, however, does not automatically guarantee less stickiness: polymer architecture, water, mixing and the ratio to gliadins all matter.

✓ Highly polymerised glutenins: greater cohesion and elastic recovery; often less tendency to leave residues.

✓ Depolymerised or poorly connected glutenins: lower stability and greater yielding; apparent stickiness may increase.

✓ Adhesion and cohesion are not synonyms: a dough may be highly cohesive yet still adhere to a particular surface.

  1. What the gliadin and glutenin subunits do

2.1 α/β-, γ- and ω-gliadins

Gliadins are predominantly monomeric and act as plasticisers: they interpose between glutenin polymers, reduce effective interactions between chains and facilitate sliding. They therefore increase extensibility and the viscous component. “Plasticising” does not simply mean weakening: an adequate proportion lets the network deform without breaking; an excess relative to glutenins instead makes dough yielding and less stable.

✓ α/β-gliadins: glutamine- and proline-rich monomers; they contribute to viscosity and extensibility and include many known coeliac epitopes.

✓ γ-gliadins: they normally possess cysteines involved in intramolecular bonds; variants with free cysteines can modify or terminate glutenin chains. Their possible role in ID331 stickiness remains a hypothesis to be tested.

✓ ω-gliadins: generally lack cysteines and do not enter the GMP covalently; they participate chiefly through hydration and non-covalent interactions. Their number of bands alone does not measure the quantity present.

2.2 HMW-GS and LMW-GS

HMW-GS are quantitatively minor but decisive for architecture: x- and y-type subunits differ in mass, sequence and number of cysteines, and therefore in their ability to create extensions and branches. LMW-GS are more numerous and account for a large proportion of polymer mass; types B, C and D differ in mobility and structure, but electrophoretic classification does not always correspond to a single function. Einkorn, which has only the A genome, has a simpler repertoire than hexaploid bread wheat, but allelic variability remains important.

  1. Monlis, ID331/Norberto and Hammurabi

The following values describe specific samples, crop years and protocols. They are not immutable constants of the cultivars.

Parameter

Hammurabi

ID331

Monlis

Farinograph development (min)

2.0

3.7

8.0

Stability (min)

0.6

3.0

9.6

Softening (FU)

181

68

7

Water absorption (%)

59.2

60.3

56.5

Alveograph W (10⁻⁴ J)

11

52

35

P/L

0.61

6.7

6.7

 

3.1 Monlis

Monlis is technologically atypical among einkorns: it has a relatively favourable glutenin fraction, good sedimentation and higher stability within the group studied. The absence of ω-gliadins may reduce a monomeric component that cannot be incorporated into the GMP, but it does not by itself demonstrate the existence of a large polymer. The advantage should be attributed to the overall subunit profile and gliadin/glutenin ratio. This technological profile does not imply lower biological activity: in comparative studies Monlis produced more problematic cellular effects than ID331.

3.2 Original ID331 and commercial Norberto

ID331, the line from which Norberto was registered, possesses a single ω-gliadin. In the CREA data reported in Gazzelloni’s thesis, it reaches W = 52, stability = 3.0 min and softening = 68 FU: better than Hammurabi, but still weak in absolute terms and very unbalanced in P/L.

A later commercial Norberto sample showed W = 84 ± 4, P/L = 1.6 ± 0.4, Gluten Index = 52 ± 2 and SDS = 58.5 ± 0.7 ml. The difference documents variability in the material and conditions; without a controlled experiment, it does not permit the increase to be attributed causally to fertilisation or lot selection.

The marked stickiness observed while processing ID331/Norberto can coexist with acceptable sedimentation and gas retention. The hypothesis that numerous γ-gliadins modulate the viscous phase is plausible, but it requires proteomic quantification and a detachment test. It is not yet a demonstrated relationship.

3.3 Hammurabi

Hammurabi has 12–13 bands attributed to ω-gliadins and, in the samples studied, a very high total protein content but an extremely weak network: very short development and stability, pronounced softening and very low W. Its exceptional stickiness observed in practice is compatible with a poorly connected and readily deformable network. The numerous ω-gliadins may dilute the polymeric fraction, but without GMP/UPP, free water and stickiness measured in the same experiment, no causal weight can be assigned to them.

  1. Why abundant protein does not mean strong dough

Protein content measures how much protein is present, not how much of it is organised into a functional network. Hammurabi may exceed 20% protein and still have extremely low W and stability. Strength depends on the glutenin fraction, the expressed subunits, available cysteines, polymer size, the HMW/LMW ratio, the gliadin/glutenin proportion and agronomic conditions. Nitrogen can increase protein and strength, but the effect varies with genotype, sulfur, dose, timing, environment and response saturation.

Cultivar Observed protein Strength/stability Structural interpretation
Monlis high, not decisive greater stability within the group relatively more functional network
ID331 high intermediate and variable strength adequate but not “strong” arrangement
Hammurabi even >20% very low W and stability abundant protein, few functional polymers
  1. Other einkorns and limits of comparison

Documented Italian cultivars include Monlis, Norberto, Hammurabi, Antenato and Monili. Agronomic descriptions are available for Antenato and Monili, but not a complete comparative characterisation of subunits, GMP, stickiness and performance in bread, pizza and pasta.

A particularly weak Balkan einkorn may also be informative, provided the material’s identity, lot, environment, milling and protocol are known. Einkorn variability is broad and prevents the profile of a single cultivar from being automatically extended to the entire species.

PART II – RELATIONSHIP BETWEEN SUBUNITS AND THE CAPACITY TO ACTIVATE ADVERSE RESPONSES

  1. Subunits and the immune system

Gluten comprises gliadins and glutenins; both can generate peptides recognised by the immune system. In coeliac disease, proline- and glutamine-rich peptides partly resist digestion, may be deamidated by transglutaminase 2 and presented by HLA-DQ2 or HLA-DQ8 to T lymphocytes.

Epitopes have been described in α-, γ- and ω-gliadins and also in HMW- and LMW-glutenins. Gliadins remain the most widely studied and often immunodominant source, but “glutenin” does not mean immunologically inert.

1.1 Do glutenins participate in the response?

Potentially, yes. After reduction or digestion, glutenin subunits release peptides that may share motifs with gliadin epitopes or possess their own epitopes. LMW-GS are particularly relevant because of their abundance and sequence homologies; epitopes have also been reported in HMW-GS.

The actual capacity to activate a response nevertheless depends on the sequence of the specific subunit, digestion, deamidation, the individual’s HLA and the dose. It cannot be inferred from electrophoretic class or molecular weight alone.

Clinical warning. All einkorn wheat contains gluten and is unsuitable for the diet of people with coeliac disease. A lower average response than that to bread wheat is not equivalent to individual safety and does not authorise consumption.

  1. Specific evidence on ID331/Norberto

A. (1) – [Omitted]. On the other hand, given that the incidence and severity of coeliac disease depend on the quantity and harmfulness of prolamins, and that some einkorn genotypes combine high breadmaking quality with an absence of cytotoxicity and reduced immunogenicity, it is expected that using einkorn flours in the diet of the general population – within which there is a high percentage of individuals genetically predisposed to coeliac disease but not yet coeliac – could help contain the spread of this form of food intolerance.

This suggests that einkorn wheat, recently brought back into cultivation in Italy by researchers from the Council for Agricultural Research and Experimentation (CRA) in Rome and Sant’Angelo Lodigiano, may play an important role in preventing coeliac disease, both directly in the form of bread and pasta and indirectly as a model species for studying the role of innate immunity in the onset of coeliac disease.

From: Le nuove frontiere delle tecnologie alimentari e la celiachia, Norberto Pogna, Laura Gazza (2013). Volume 212, 1 December 2016, pages 537–542.

(2) – [Omitted]. Abstract. A growing interest in developing new strategies for preventing coeliac disease has motivated efforts to identify cereals with null or reduced toxicity. In the current study, we investigate the biological effects of ID331 Triticum monococcum gliadin-derived peptides in human Caco-2 intestinal epithelial cells. Triticum aestivum gliadin-derived peptides were employed as a positive control.

The effects on epithelial permeability, zonulin release, viability, and cytoskeleton reorganisation were investigated. Our findings confirmed that ID331 gliadin did not enhance permeability and did not induce zonulin release, cytotoxicity or cytoskeleton reorganisation of Caco-2 cell monolayers.

We also demonstrated that ID331 ω-gliadin and its derived peptide ω(105–123) exerted a protective action, mitigating the injury of Triticum aestivum gliadin on cell viability and cytoskeleton reorganisation. These results may represent a new opportunity for the future development of innovative strategies to reduce gluten toxicity in the diet of patients with gluten intolerance.

Protective effects of ID331 Triticum monococcum gliadin on in vitro models of the intestinal epithelium. Giuseppe Iacomino et al., 2016.

(3) – [Omitted]. The 2015 study by Gianfrani et al. found that:

“In conclusion, we demonstrated that the gliadin proteins of einkorn wheat (TM) differ sufficiently from those of common bread wheat (TA) to produce lower immune toxicity after an in vitro simulation of human digestion.

The intensity of the T-cell response to gluten peptides was observed to depend on the number of HLA-DQ2 gene copies in coeliac patients [31]. This finding suggests a quantitative model, based on the relationship between HLA status and gluten epitopes, for reaching a pathological T-cell response.

We therefore hypothesise that a habitual diet based on ancient einkorn wheat, characterised by a lower quantity of immunotoxic gluten peptides, could delay the onset of coeliac disease, especially in people at risk, such as first-degree relatives of coeliac patients who carry coeliac-associated HLA alleles.”

Conclusion

“Einkorn wheat is frequently used by people with non-coeliac gluten sensitivity (NCGS), although definitive clinical evidence validated on a large scale is lacking and subject to specific individual intolerances established clinically.

From a research perspective, the shortage of structured clinical studies is linked to economic sustainability: private funding tends to focus on proprietary industrial assets, while public institutions, constrained by limited resources, prioritise health areas with greater epidemiological impact.

Nevertheless, the current widespread consumption of this variety provides an empirical indicator in the community: any significant incidence of adverse reactions would be promptly detected and highlighted by active health-surveillance channels through the daily practice of general practitioners, gastroenterologists and nutritionists.”

PART III – SUBUNITS AND DOUGHS FOR BREAD, PIZZA AND PASTA

  1. Role of subunits in technological use

Bread, pizza and pasta require different balances. There is no composition that is absolutely “better”: what matters is the combination of resistance, extensibility, stability over time and the ability to withstand processing.

1.1 Gliadin subunits: differences between bread and pasta

In bread, α/β- and γ-gliadins promote plasticity, extensibility and network relaxation, allowing dough to expand under gas pressure. If they predominate over polymeric glutenins, however, the mass may become stickier, yield during proofing and retain less gas.

ω-gliadins, which contain few or no cysteines, participate little or not at all in the macropolymer; a high relative abundance may therefore dilute the fraction capable of building the network. No gliadin family taken in isolation, however, defines breadmaking aptitude.

In pasta, gliadins contribute the deformability needed during mixing and extrusion, whereas cooking performance depends mainly on the glutenin matrix, particularly LMW-GS.

A well-known example in durum wheat is γ-gliadin 45, associated with strong gluten and good cooking quality; γ-gliadin 42 is more often associated with poorer quality. γ-45, however, is primarily an electrophoretic marker: it is closely linked to the LMW-2 glutenin group, considered chiefly responsible for the favourable effect, whereas γ-42 is linked to LMW-1. Because these markers belong to the B genome of durum wheat, they must not be transferred automatically to einkorn, which possesses only the A genome [15].

Product Desirable structure Role of the subunits Risk in einkorn
Bread continuous, extensible, gas-retaining network HMW-GS for backbone and branching; LMW-GS for connections; enough gliadins for expansion overmixing, collapse and low volume
Pizza balance of extensibility, holding capacity and relaxation glutenins for holding during fermentation; gliadins for stretching without excessive spring-back stickiness, tearing or excessively tenacious dough
Pasta cohesion in low-hydration dough and resistance during cooking glutenin polymers for the protein matrix; gliadins modulate plasticity and extrusion solids loss, poor holding, fragile structure

1.2 Bread

Bread needs polymers large enough to retain carbon dioxide, but also enough gliadins to permit expansion. Monlis and ID331/Norberto can produce acceptable or good results within the einkorn context, especially with short mixing and proofing.

Hammurabi does not necessarily lack protein; it lacks a polymeric network capable of supporting expansion.

1.3 Pizza

Pizza requires extensibility without uncontrolled stickiness and stability during fermentation. Einkorn with many gliadins and few large polymers may stretch easily but lose shape or adhere; a high P/L may instead indicate tenacity and poor extension.

Einkorn requires dedicated protocols: cautious hydration, brief mixing, controlled rests and fermentation compatible with the stability of the lot.

1.4 Pasta

In pasta, the network must immobilise starch during extrusion and drying and limit losses during cooking. High protein content is not enough: gluten quality, polymerisation and starch damage matter.

In published data, Norberto shows normal gluten strength within the group studied, while Hammurabi is classified as extremely weak. Behaviour may also change with particle size, drying temperature and the presence of bran.

  1. A practical interpretation of the cultivars
Cultivar Bread Pizza Pasta Interpretive caution
Monlis best structure in the group; good stability potentially manageable; hydration must be calibrated possibly good cohesion atypical protein and immunological profile
ID331/Norberto good potential with a short process possibly good extensibility, but observed stickiness Norberto: normal strength in one study original ID331 and Norberto lots are not interchangeable
Hammurabi network insufficient for high volume very yielding and potentially sticky weak holding capacity stickiness not measured instrumentally
Antenato/Monili insufficient data insufficient data insufficient data full characterisation required

PART IV – THE RESEARCH THAT IS MISSING

To genuinely connect subunits, stickiness, technological performance and immune response, a study is needed on the same harvest and with the same milling, including Monlis, original ID331 if available, several traceable lots of Norberto, Hammurabi, Antenato, Monili and identified Balkan einkorns.

✓ Quantitative RP-HPLC and LC-MS/MS of α/β-, γ- and ω-gliadins, HMW-GS and LMW-GS, not merely a band count.

✓ Two-dimensional SDS-PAGE/A-PAGE or top-down proteomics to associate every band with a sequence or proteoform.

✓ SE-HPLC with and without reducing agent, UPP and GMP to measure polymer size and proportion.

✓ Instrumental stickiness using a Chen-Hoseney probe, texture analyser or peel test at standard and farinographic hydration.

✓ G′, G″, tan δ, creep-recovery, farinograph, alveograph and stress relaxation.

✓ Free/bound water, damaged starch, arabinoxylans/pentosans, and α-amylase and protease activity.

✓ Separate bread, pizza and pasta trials with adapted processes, together with a common comparison protocol.

✓ Standardised gastrointestinal digestion, epitope peptidomics, T-cell tests and epithelial models using the same flours.

✓ A factorial agronomic design for nitrogen and sulfur across multiple environments and years, to distinguish genotype, fertilisation and their interaction.

A multivariate model could establish whether stickiness is better explained by individual γ or ω proteoforms, the gliadin/glutenin ratio, UPP/GMP, water or non-protein factors. A second model could link sequences released by digestion to the immune response. Without parallel measurements, attributing everything to one protein family remains an oversimplification.

TECHNICAL NOTE – WHAT ELECTROPHORETIC BANDS MEAN

In an electrophoretic gel, proteins migrate and form bands. In SDS-PAGE, separation depends mainly on apparent mass after denaturation; in A-PAGE, it depends more strongly on mobility and charge, and this method has historically been used for gliadins.

A band denotes a migration zone, not necessarily a single protein. Different proteins can co-migrate to the same position, while the same sequence can appear in several forms because of modifications, processing or aggregation.

Band intensity provides, at most, a semiquantitative estimate and depends on extraction, staining, saturation and loaded quantity. Stating that Hammurabi has 12–13 ω bands and ID331 a single band describes an electrophoretic profile; it does not demonstrate that the total quantity of ω-gliadins is 12–13 times greater. Moreover, bands do not directly reveal cysteine positions, GMP membership, epitope sequences or digestibility.

✓ Electrophoresis: excellent for comparing profiles and recognising polymorphisms.

✓ HPLC: better for quantifying families and relative proportions.

✓ Mass spectrometry: necessary for identifying sequences, proteoforms and peptides.

✓ SE-HPLC/GMP-UPP: necessary for describing polymer size and insolubility.

✓ Immunology: requires digested peptides, HLA and cellular tests; it cannot be inferred from the position of a band.

CONCLUSIONS

✓ Glutenins contribute to viscosity and viscoelasticity; they affect stickiness chiefly through cohesion and recovery, but do not determine it alone.

✓ Gliadins plasticise the network; α/β, γ and ω are not interchangeable, and the number of bands is not equivalent to their quantity or function.

✓ HMW- and LMW-glutenins can also generate epitopes; however, the einkorn-specific evidence mainly concerns gliadins and gluten as a whole.

✓ ID331/Norberto shows evidence of lower activity than bread wheat and Monlis in some models, but it contains gluten and is not safe for people with coeliac disease.

ESSENTIAL BIBLIOGRAPHY

[1] Wieser H. Chemistry of gluten proteins. Food Microbiology. 2007;24:115–119. doi:10.1016/j.fm.2006.07.004.

[2] Geisslitz S, Longin CFH, Scherf KA, Koehler P. Comparative study on gluten protein composition of ancient and modern wheat species. Foods. 2019;8:409. doi:10.3390/foods8090409.

[3] Saponaro C, Pogna NE, Castagna R, et al. Allelic variation at Gli-A1m, Gli-A2m and Glu-A1m loci and breadmaking quality in diploid wheat Triticum monococcum. Genetics Research. 1995;66:127–137. doi:10.1017/S0016672300034479.

[4] Hidalgo A, Brandolini A, Gazza L. Breadmaking performance of elite einkorn lines: evaluation of flour, dough and bread characteristics. Foods. 2023;12:1610. doi:10.3390/foods12081610.

[5] Gazza L, et al. Cooking quality and chemical and technological characteristics of wholegrain einkorn pasta obtained from micronized flour. Foods. 2022;11:2905. doi:10.3390/foods11182905.

[6] Di Stasio L, et al. Protective effects of ID331 Triticum monococcum gliadin on in vitro models of the intestinal epithelium. Food Chemistry. 2017;212:537–542. doi:10.1016/j.foodchem.2016.06.014.

[7] Di Stasio L, et al. Comparison of the in vitro toxicity of ancient Triticum monococcum varieties ID331 and Monlis. Food Research International. 2018;105:450–456. doi:10.1016/j.foodres.2017.11.051.

[8] Gianfrani C, et al. Extensive in vitro gastrointestinal digestion markedly reduces the immune-toxicity of Triticum monococcum wheat. Molecular Nutrition & Food Research. 2015;59:1844–1854. doi:10.1002/mnfr.201500126.

[9] Picascia S, et al. In celiac disease patients the in vivo challenge with diploid Triticum monococcum elicits a reduced immune response compared to hexaploid wheat. Molecular Nutrition & Food Research. 2020;64:e1901032. doi:10.1002/mnfr.201901032.

[10] Sollid LM, et al. Nomenclature and listing of celiac disease relevant gluten T-cell epitopes restricted by HLA-DQ molecules. Immunogenetics. 2012;64:455–460. doi:10.1007/s00251-012-0599-z.

[11] Juhász A, et al. Characterization and relative quantitation of wheat, rye, and barley gluten protein types by LC-MS/MS. Frontiers in Plant Science. 2019;10:1530. doi:10.3389/fpls.2019.01530.

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