A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 307 Variability of total soluble phenolic compounds and antioxidant activity in a collection of tetraploid wheat Antonella Pasqualone1*, Laura Nunzia Delvecchio1, Giacomo Mangini2, Francesca Taranto2 and Antonio Blanco2 1 Food Science and Technology Unit, University of Bari, Department of Soil, Plant and Food Sciences, Via Amendola, 165/A, I 70126, Bari, Italy 2 Plant Breeding Unit, University of Bari, Department of Soil, Plant and Food Sciences, Via Amendola, 165/A, I 70126, Bari, Italy e-mail*: antonella.pasqualone@uniba.it The total soluble phenolic compounds (TSPC) and antioxidant activity (AA) of 113 tetraploid wheat samples includ- ing cultivars, landraces, and wild accessions of different Triticum turgidum subspecies, were assessed to point out potential sources for cereal-based functional foods. TSPC ranged from 1.28 to 3.15 mg g-1 as ferulic acid equivalents and AA, assessed by 2,2-diphenyl-1-picrylhydrazyl radical scavenging capacity test, ranged from 47.5% to 81.7%. Among cultivars of ssp. durum, the highest levels were observed in ‘Timilia’ and ‘Svevo’, while the ssp. dicoccoides showed the highest TSPC and AA among the accessions. The principal component analysis of data discriminated cultivars from wild accessions, and PC1 explained about 62% of variability. The TSPC were negatively correlated with thousand-kernel weight and grain yield per spike, while were positively correlated with AA, grain protein con- tent, polyphenol oxidase activity, and brown index of whole meal and dough. The cultivar ‘Langdon’ coupled high TSPC and low brownness. Key words: Triticum turgidum, phenolics, antioxidant activity, PCA, grain yield, brown index Introduction Wheat is one of the most diffused cereals and is characterized by a wide range of cultivation: from 67° N in Scan- dinavia and Russia to 45° S in Argentina, including elevated regions in the tropics and sub-tropics (Feldman 1995). Whole-wheat diet has been shown to reduce the incidence of type-2 diabetes, cardiovascular diseases, and co- lon cancer (Ferguson and Harris 1999, De Munter et al. 2007). The beneficial health effects have mainly been as- cribed to dietary fiber and to some antioxidant components associated to it, in particular phenolic compounds (Ferguson and Harris 1999). Phenolic compounds are major secondary metabolites of plants. They occur in wheat grains as: i) soluble free phenolic acids; ii) soluble conjugated phenolics bound to low molecular mass components such as saccharides or organic acids; iii) insoluble bound forms of phenolics, linked to polymers of the plant cell wall (Klepacka and Fornal 2006). Although the majority of phenolics occur in bound forms, great interest is put towards the soluble forms due to their bioavailability (Mateo Anson et al. 2009, Moore and Hao 2012). Wheat phenolics are primarily derivatives of benzoic and cinnamic acids, dominated by ferulic acid (Klepacka and Fornal 2006). Their chemical structure renders them able to scavenge or neutralize free radicals by donating electrons (Soobrattee et al. 2005), and thereby to reduce or minimize oxidative damage to proteins, DNA, and membrane lipids (Tucker and Robards 2008). Due to these antioxidant properties, assessed in several researches (Zhou and Yu 2004, Menga et al. 2010, Van Hung et al. 2011), phenolic compounds are one of the factors contributing to whole-wheat health benefits. While the phenolic content of hexaploid wheat has been widely studied (Adom et al. 2003, Beta et al. 2005, Mpo- fu et al. 2006, Verma et al. 2008, Yu 2008, Revanappa and Salimath 2011, Moore and Hao 2012), minor attention has been devoted to tetraploid wheat. The few reports available focused only on durum wheat cultivars (Lempere- ur et al. 1997, Dinelli et al. 2009, Menga et al. 2010, Acquistucci et al. 2013), and a single report is about other free-threshing or hulled subspecies, wild or domesticated (Abdel-Aal and Rabalski 2008). Moreover, the number of samples studied was limited, ranging between 3 and 30. In a previous research, a collection composed of a large set of tetraploid wheat samples including durum wheat cultivars, landraces, and wild accessions of different Triticum turgidum subspecies, has been assembled and screened for genetic diversity by molecular markers and pedigree data (Laidò et al. 2013). The population struc- ture of this tetraploid wheat collection partially reflects the evolutionary history of Triticum turgidum L. subspe- cies and the genetic potential of landraces and wild accessions for the detection of unexplored alleles. Moreover, the variability of protein content, browning level, and polyphenol oxidase activity within this collection has been determined, due to their importance for end-product quality (Taranto et al. 2012). Manuscript received October 2014 A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 308 The aim of this work was to evaluate the variability of total soluble phenolic compounds and antioxidant activity of the above cited tetraploid wheat collection, to identify the best sources to be used for cereal-based function- al foods. Moreover, the aim was to point out possible correlations between phenolic compounds and the other qualitative traits previously assessed in the same collection. Materials and methods Samples Grains of 113 tetraploid wheats were considered: 65 cultivars and one breeding line of durum wheat (Triticum turgidum ssp. durum (Desf.) Husnot), listed in Table 1, and 47 landraces and wild accessions of various Triticum turgidum subspecies, listed in Table 2. Samples were grown in the experimental field of the University of Bari at Valenzano (Bari, Italy) in 2010, in a randomized complete block design with three replicates and plots consisting of 1 m rows, 30 cm apart, with 50 germinating seeds per plot. During the growing season, 100 kg ha-1 of N was applied and standard cultivation practices were adopted. Plots were hand-harvested at maturity and grain yield per spike (GYS) was determined by dividing grain yield per row by the number of spikes per row (about 35 spikes). A 15 g seed sample per plot was used to determine thousand-kernel weight (KW). Basic physico-chemical analyses Harvested grain samples from each plot were separately milled on a laboratory mill equipped with 1 mm sieve (Cyclotec Sample Mill, Tecator Foss, Hillerød, Denmark). Moisture content was determined at 105 °C by means of an automatic moisture analyzer (Radwag Wagi Elektroniczne, Radom, Poland). Grain protein content (GPC) was determined on 2 g of whole meal by using a dual beam near infrared reflectance spectrophotometer (Zeutec Spec- tra Alyzer Premium, Zeutec Büchi, Rendsburg, Germany). Colorimetric evaluations of brown index (BI, defined as 100-L*) were carried out on whole meal and dough by means of the reflectance colorimeter Chroma Meter CR- 300 (Minolta, Osaka, Japan) as reported in Taranto et al. (2012). Whole meal (2.5 g) was placed into the granular materials attachment CR-A50 (Minolta, Osaka, Japan) of the colorimeter to obtain a smooth surface suitable for color readings. Dough was prepared by hand-kneading 1 g of whole meal from each sample with 700 μl distilled water in a clean porcelain capsule, until water was completely absorbed and dough appeared smooth and elastic. Then, dough was compressed between two Petri plates to obtain uniformly thick discs. Determination of polyphenol oxidase (PPO) activity PPO (E.C. 1.14.18.1) was measured by incubating 30 seeds in 5 ml of 0.01 M disodium tyrosinate (pH 10.7) at 37 °C for 19 hours. Then, after removal of the seeds, the absorbance of the solution was measured at 405 nm by a Cary 60 UV-vis spectrophotometer (Agilent Technologies Inc., Santa Clara, CA, USA). Quantification of total soluble phenolic compounds (TSPC) TSPC (composed of soluble free phenolic acids and soluble phenolics bound to low molecular mass components) were extracted by adding 1 ml of methanol to 0.1 g whole meal, then purging with stream of nitrogen, keeping on orbital shaker at 200 rev min-1, for 2 h, in the dark, and centrifuging at 7,000 × g for 5 min. The recovered super- natant was subjected to Folin-Ciocalteu reaction as follows. The reaction mixture contained 100 μl supernatant, 500 μl Folin-Ciocalteu reagent (Sigma-Aldrich Chemical Co., St. Louis, MO, USA) and 2 ml of 15% (w/v) sodium carbonate. The final volume was made up to 10 ml with distilled water. After 1 h in the dark, and centrifugation at 12,000 × g for 3 min to precipitate any particles, the absorbance of the solution was measured at 765 nm by a Cary 60 UV-Vis spectrophotometer (Agilent Technologies Inc., Santa Clara, CA, USA). A calibration curve was built by methanol solutions of ferulic acid (Sigma-Aldrich Chemical Co., St. Louis, MO, USA) at concentrations between 0.1 and 2 g l-1 (y = 0.0007x + 0.0089; r2=0.9985). The results were expressed as mg ferulic acid equivalents (FAE) per g, being ferulic acid the predominant phenolic acid in wheat. All tests were carried out in triplicate. Determination of antioxidant activity (AA) AA was assessed by the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging capacity assay. An amount of 500 μl of the same extract prepared for TSPC determination was added to 1.5 ml of freshly-prepared 60 μM DPPH rad- ical solution (Sigma-Aldrich Chemical Co., St. Louis, MO, USA) in methanol. After 30 min of reaction in the dark, the absorbance of the solution was measured at 515 nm by a Cary 60 UV-Vis spectrophotometer (Agilent Tech- nologies Inc., Santa Clara, CA, USA). At the same wavelength, but at t = 0 min, it was also read the absorbance of A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 309 the methanol solution of DPPH radical without sample (control). Methanol was the blank. The AA of the samples was expressed as percent capacity of scavenging the DPPH radical (SC%) according to the following equation: SC% = (1 – Abs of sample t=30’ /Abs of control t=0 ) × 100 where Abs of sample t=30’ was the absorbance of DPPH radical solution + sample at t = 30 min; Abs of control t=0 was the absorbance of the DPPH radical solution at t = 0 min. A calibration curve was built by using solutions of the standard antioxidant 6-hydroxy-2,5,7,8-tetramethylchroman- 2-carboxylic acid (Trolox) (Sigma-Aldrich Chemical Co., St. Louis, MO, USA) at concentrations between 0.02 and 1 M (y = - 0.008 x + 0.6087; r2 = 0.9971), to express the results also as μmol Trolox equivalents g-1. All tests were carried out in triplicate. Statistical analyses Standard ANOVA (with sample as fixed factor and replicate as random factor) and principal component analysis (PCA) were performed using the software MSTAT-C (Michigan State University, East Lansing, MI). The Fisher’s least significant difference (LSD 0.05 ) was applied to test the differences between samples at 5% significance level. The estimations of values of TSPC adjusted to GYS (GYS-adj TSPC) and KW (KW-adj TSPC) were calculated by covari- ance analysis and expressed by the following relationship: Y m = Y j + b(X m - X j ) where Y m and Y j are the mean TSPC and the value of individual samples, respectively; X m and X j are the mean GYS (or KW) and the value of individual samples, respectively, and b is the regression coefficient between the traits. Results and discussion Variability of TSPC and AA Data about TSPC and AA of 65 durum cultivars, one breeding line, and 47 tetraploid landraces and wild accessions are presented in Tables 1 and 2. The analysis of variance revealed that both among replications and among sam- ples significant differences occurred (p < 0.001) (Table 3). Overall, the TSPC ranged from 1.28 to 3.15 mg FAE g-1. The majority of durum cultivars showed a phenolic content ranging from 1.87 to 2.40 mg FAE g-1, while the majority of landraces and accessions was characterized by higher values, comprised from 2.05 to 3.15 mg FAE g-1. The AA, assessed by the DPPH radical scavenging capacity (SC) as- say, varied from 47.5 to 81.7% (corresponding to a range from 1.32 to 2.44 µmol Trolox g-1) within the whole col- lection, with the highest values in the accessions of ssp. dicoccum and ssp. dicoccoides. Individually, the durum cultivars with the highest TSPC levels were ‘Timilia’ and ‘Svevo’, both with 2.48 mg FAE g-1, while the lowest values were ascertained in ‘Altar84’, ‘Cosmodur’, and ‘Sansone’ (1.52, 1.54 and 1.57 mg FAE g-1, respectively). The highest AA for cultivars accounted for about 75% SC (or 2.28 µmol Trolox g-1), assessed in ‘Zenit’ and ‘AC Navigator’. The minimum value was ascertained in ‘Simeto’. Although focusing on a limited number of samples, other authors evaluated the phenolic compounds of ssp. du- rum. Lempereur et al. (1997) analysed different milling fractions from 5 cultivars and in whole meal assessed 0.69– 2.44 mg FAE g-1. Moreover, they observed that phenolic compounds were much more concentrated in bran and aleurone layer than in endosperm and germ. Recently, Menga et al. (2010) ascertained 0.78–0.95 mg FAE g-1 in 30 cultivars. However, the absence of standardised protocols to extract, measure, and express the results regarding these phytochemicals makes comparisons between studies rather difficult: phenolics are extracted from wheat by using several polar solvents, usually ethanol, methanol or acetone, combined with different procedures, and it has been reported that varying the extracting solvent can significantly alter their estimations (Zhou and Yu 2004). In addition, environmental factors during growing season can affect the size of the seeds and, in turn, phenolic content (Mpofu et al. 2006). Climatic factors associated to drought stress and high temperature during grain filling may lead to high phenolic contents (Menga et al. 2010). Moreover, organic cultivation can induce higher phenolic levels in wheat than conventional agriculture (Żuchowski et al. 2009), and similar effects have been observed by using composted sewage sludge as fertilizer (Pasqualone et al. 2014). A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 310 Table 1. Total soluble phenolic compounds (TSPC) and antioxidant activity (AA) of 65 durum cultivars and one breeding line (L092) included in a tetraploid wheat collection grown at Valenzano (Bari, Italy) in 2010. Samples were grouped according to the year of release. Cultivar TSPC (mg FAE g-1 db)a,b AAa Cultivar TSPC (mg FAE g-1 db)a,b AAa Obser- ved GYS- adjc KW- adjd (SC%)e (μmol Trolox g-1)f Obser- ved GYS- adjc KW-adjd (SC%)e (μmol Trolox g-1)f Released before 1971 Released between 1991 and 2008 Sharm 5 1.59 1.57 1.62 57.7 1.84 Cosmodur 1.54 1.59 1.56 74.4 2.24 Capeiti-8 1.70 1.70 1.74 52.5 1.48 Normanno 1.69 1.62 1.75 52.0 1.56 Cappelli 1.70 1.52 1.45 61.2 1.76 L092 1.70 1.78 1.84 62.6 1.96 Aziziah 2.12 2.31 2.20 61.4 1.84 Saragolla 1.80 1.61 1.81 52.1 1.52 Taganrog 2.18 2.09 1.94 57.9 1.76 Ancomarzio 1.82 1.72 1.84 60.6 1.84 Russello 2.19 2.06 2.04 66.7 2.00 Ares 1.83 1.70 1.78 64.1 1.84 Langdon 2.25 2.34 2.28 58.4 2.04 Dauno 1.84 1.62 1.80 63.1 1.96 Grifoni 2.31 2.27 2.20 65.8 2.00 Parsifal 1.85 1.75 1.82 55.9 1.68 Kiperounda 2.40 2.52 2.50 70.1 2.20 Ciccio 1.89 1.70 1.81 54.4 1.72 Timilia 2.48 2.66 2.60 63.1 1.88 Fiore 1.90 1.82 1.95 60.1 1.84 Iride 1.90 1.70 1.89 57.4 1.64 Mean 2.09 2.10 2.06 61.5 1.88 Giotto 1.92 1.91 1.90 63.2 1.88 SD 0.32 0.39 0.37 5.2 0.20 Grecale 1.93 1.78 1.98 63.1 1.88 Min 1.59 1.52 1.45 52.5 1.48 Saadi 1.98 1.96 1.95 60.3 1.84 Max 2.48 2.66 2.60 70.1 2.20 PR22D89 1.99 1.78 1.82 60.6 1.92 Tiziano 1.99 1.81 1.83 61.9 2.12 Released between 1971 and 1990 AC Navigator 2.01 1.98 2.04 75.3 2.28 Ofanto 1.28 1.20 1.28 62.9 1.92 Cirillo 2.04 1.97 1.99 63.4 2.00 Altar84 1.52 1.41 1.41 57.2 1.72 Strongfield 2.09 2.10 2.12 68.3 2.12 Sansone 1.57 1.49 1.36 55.7 1.64 Arcobaleno 2.11 1.96 2.05 50.2 1.48 Appulo 1.72 1.69 1.65 49.5 1.48 Zenit 2.11 2.07 2.12 75.8 2.28 Arcangelo 1.78 1.78 1.80 59.7 1.80 Kronos 2.19 1.97 2.14 62.0 1.88 Messapia 1.81 1.68 1.71 54.6 1.72 Pedroso 2.22 2.09 2.16 57.6 1.72 Mida 1.87 1.84 1.88 67.9 2.04 Duetto 2.23 2.15 2.19 58.6 1.72 Primadur 1.88 1.90 2.07 74.4 2.24 Colosseo 2.24 2.21 2.19 55.7 1.68 Simeto 1.90 1.72 1.83 47.5 1.32 Ariosto 2.26 2.08 2.32 65.0 1.88 Antas 1.92 1.88 1.89 60.3 1.92 Claudio 2.27 2.34 2.32 57.3 1.68 Duilio 1.94 1.93 1.93 68.1 2.00 Doral 2.32 2.32 2.29 60.7 1.96 Mexicali 75 1.95 1.81 1.88 55.4 1.80 UC1113 2.32 2.41 2.48 63.9 1.92 Creso 1.98 1.90 2.01 58.1 1.76 Svevo 2.48 2.49 2.50 59.7 2.04 Valnova 2.00 1.85 1.96 52.9 1.60 Brindur 2.01 1.93 1.98 64.4 1.96 Mean 2.02 1.93 2.01 61.3 1.87 Neodur 2.03 1.96 1.99 56.8 1.60 SD 0.22 0.25 0.23 6.3 0.21 Isa 2.08 2.02 1.91 55.8 1.76 Min 1.54 1.59 1.56 50.2 1.48 Karel 2.11 2.06 2.14 71.3 2.16 Max 2.48 2.49 2.50 75.8 2.28 Produra 2.11 1.95 2.04 69.2 2.08 Ambral 2.15 2.00 2.09 63.9 1.92 Appio 2.15 2.15 2.14 61.7 1.96 All cultivars Athena 2.21 1.99 2.21 58.6 1.64 Mean 2.00 1.94 1.99 61.4 1.88 Latino 2.22 1.97 2.20 67.8 2.12 SD 0.25 0.29 0.27 6.4 0.21 Polesine 2.23 2.49 2.13 69.3 2.08 Min 1.28 1.20 1.28 47.5 1.32 Belfuggito 2.27 2.33 2.35 73.0 2.16 Max 2.48 2.66 2.60 75.8 2.28 Tito 2.46 2.39 2.50 62.5 1.88 Mean 1.97 1.90 1.94 61.5 1.84 SD 0.26 0.28 0.29 7.2 0.23 Min 1.28 1.20 1.28 47.5 1.32 Max 2.46 2.49 2.50 74.4 2.24 aMean of three field replications; bFAE = ferulic acid equivalents; cGYS-adj = adjusted to grain yield per spike; dKW-adj = adjusted to thousand-kernels weight; eSC% = DPPH scavenging capacity percentage; fTrolox = 6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid. A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 311 Table 2. Total soluble phenolic compounds (TSPC) and antioxidant activity (AA) of landraces and wild accessions of Triticum turgi- dum included in a tetraploid wheat collection grown at Valenzano (Bari, Italy) in 2010. Accession TSPC (mg FAE g-1 db)a,b AAa Accession TSPC (mg FAE g-1 db)a,b AAa Obser- ved GYS- adjc KW- adjd (SC%)e (μmol Trolox g-1)f Obser- ved GYS- adjc KW- adjd (SC%)e (μmol Trolox g-1)f ssp. turanicum (Khorasan wheat) ssp. carthlicum (Persian wheat) PI 113393 1.67 1.77 1.54 61.3 1.84 PI 94755 2.01 2.24 2.25 63.8 1.92 PI 306665 1.74 1.35 1.38 69.8 2.16 Citr 7665 2.19 2.37 2.32 71.4 2.16 PI 352514 2.05 1.84 1.73 49.4 1.36 PI 341800 2.36 2.71 2.60 65.6 1.96 PI 67343 2.08 2.07 1.90 66.3 2.00 PI 167481 2.12 2.22 2.08 55.5 1.68 Mean 2.19 2.44 2.39 66.9 2.00 PI 68287 2.18 2.02 1.98 49.2 1.32 SD 0.18 0.24 0.18 4.0 0.13 PI 184526 2.20 2.49 2.41 64.1 1.96 Min 2.01 2.24 2.25 63.8 1.92 PI 191599 2.24 2.14 1.92 56.5 1.72 Max 2.36 2.71 2.60 71.4 2.16 Mean 2.04 1.99 1.87 59.0 1.76 ssp. dicoccum (emmer) SD 0.21 0.34 0.32 7.6 0.30 ISC_Foggia_171 2.40 2.69 2.69 56.8 1.64 Min 1.67 1.35 1.38 49.2 1.32 MG 5350 2.48 2.78 2.73 66.2 2.00 Max 2.24 2.49 2.41 69.8 2.16 MG15516/1 2.49 2.69 2.65 73.0 2.24 MG 4387 2.55 2.66 2.75 64.9 2.00 ssp. polonicum (Polish wheat) Molise Sel. Colli 2.60 2.76 2.61 69.2 2.04 PI 223171 1.47 1.20 1.05 68.2 2.08 MG 5416/1 2.64 3.00 2.86 81.7 2.36 PI 366117 1.64 1.83 1.72 71.6 2.12 MG5293/1 2.67 3.16 3.00 76.1 2.32 PI 272564 2.05 2.23 1.87 73.7 2.16 MG5473 2.69 2.74 2.62 77.1 2.32 PI 289606 2.11 2.26 2.13 68.1 1.92 MG5323 2.73 3.09 3.03 75.7 2.24 PI 286547 2.13 2.12 2.16 65.3 2.04 PI 349051 2.13 2.06 1.98 63.0 1.92 Mean 2.58 2.84 2.77 71.2 2.12 PI 210845 2.14 2.20 1.82 61.8 1.92 SD 0.11 0.19 0.16 7.6 0.15 PI 306549 2.27 2.49 2.29 75.5 2.28 Min 2.40 2.66 2.61 56.8 1.64 Max 2.73 3.16 3.03 81.7 2.36 Mean 1.99 2.05 1.88 68.4 2.04 SD 0.28 0.39 0.38 4.9 0.13 ssp. dicoccoides Min 1.47 1.20 1.05 61.8 1.92 PI 470944 2.29 2.42 2.19 75.9 2.40 Max 2.27 2.49 2.29 75.5 2.28 MG4328/61 2.50 2.88 2.78 80.0 2.40 MG4330/66 2.54 2.92 2.80 68.1 2.16 ssp. turgidum PI 481539 2.84 3.30 3.26 78.9 2.36 PI 157983 1.95 1.70 1.90 60.0 1.84 MG 4343 3.04 3.47 3.42 68.5 2.12 PI 290522 1.99 1.84 2.11 78.9 2.40 PI 355459 3.15 3.43 3.53 73.4 2.20 PI 286075 2.08 2.08 2.21 78.4 2.36 PI 352323 n.d.g n.d. n.d. n.d. n.d. PI 56263 2.16 1.93 1.99 60.1 1.80 PI 352544 2.17 2.24 2.12 79.3 2.36 Mean 2.73 3.07 3.00 74.1 2.28 PI 191104 2.18 2.15 2.20 67.3 2.04 SD 0.34 0.4 0.51 5.1 0.13 PI 191203 2.23 2.12 2.25 74.5 2.20 Min 2.29 2.42 2.19 68.1 2.12 PI 341391 2.28 2.10 2.30 78.8 2.44 Max 3.15 3.47 3.53 80.0 2.40 PI 185723 2.29 2.12 2.21 69.0 2.00 PI 191145 2.34 2.41 2.37 66.5 2.20 PI 173503 2.40 2.43 2.41 63.8 1.84 All accessions PI 134946 2.51 2.40 2.22 64.9 1.96 Mean 2.28 2.37 2.31 68.4 2.08 SD 0.34 0.50 0.51 7.9 0.26 Mean 2.22 2.13 2.19 70.1 2.12 Min 1.47 1.20 1.05 49.2 1.32 SD 0.16 0.23 0.15 7.5 0.20 Max 3.15 3.47 3.53 81.7 2.44 Min 1.95 1.70 1.90 60.0 1.80 Max 2.51 2.43 2.41 79.3 2.44 aMean of three field replications; bFAE = ferulic acid equivalents; cGYS-adj = adjusted to grain yield per spike; dKW-adj = adjusted to thousand-kernels weight; eSC% = DPPH scavenging capacity percentage; fTrolox = 6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid; gn.d. = not determined due to insufficient grain. A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 312 Roughly, we observed higher values of phenolic content than those reported by Lempereur et al. (1997) and Men- ga et al. (2010). Probably the different extracting procedures and/or the environmental conditions were effective in the variations of results, remarking the importance to evaluate with the same extracting procedure large sets of samples derived from plants grown in the same environment. As far as AA is concerned, although a number of protocols has been reported for DPPH antioxidant assay (Shar- ma and Bhat 2009), some authors (Yu et al. 2002, Yu and Zhou 2004, Revanappa and Salimath 20011) adopted sample:DPPH· ratios similar to those we used. In spite of the fact they did not analyze tetraploid wheat, the re- sults were comparable. Table 3. Mean squares of soluble phenolic compounds (TSPC) and antioxidant activity (AA) of a tetraploid wheat collection grown at Valenzano (Bari, Italy) in 2010. Source of variation df TSPC AA (SC)a (Trolox)b Replications 2 3.425*** 1032.890*** 0.057*** Samples 112 0.302*** 183.741*** 0.012*** Error 224 0.035 25.954 0.002 aMean squares of AA as DPPH scavenging capacity percentage; bMean squares of AA as µmol/g of 6-hydroxy-2,5,7,8-tetramethylchroman-2- carboxylic acid; ***Significant differences at p < 0.001. In particular, Revanappa and Salimath (2011) assessed SC values up to about 80% in whole meal of 4 bread wheat cultivars, Yu and Zhou (2004) observed levels close to 75% in bran and Yu et al. (2002) determined SC values up to 64% in wholegrain wheat-based breakfast cereals. Among landraces and wild accessions, the highest TSPC levels were registered in ssp. dicoccoides: in particular PI 355459 and MG 4343 showed 3.15 and 3.04 mg FAE g-1, respectively. The lowest levels were detected in ssp. poloni- cum and ssp. turanicum. Similarly, the highest mean value of AA was observed in the accessions of ssp. dicoccoides (74.1% SC or 2.28 µmol Trolox g-1), according to the highest TSPC measured in the same group. These observations could be justified by the effect of domestication in ssp. polonicum and ssp. turanicum, absent in ssp. dicoccoides. The latter could be richer in phenolics due to the role played by these substances in disease resistance and plant protection against oxidative stress (Daniel et al. 1999), that are essential for wild accessions. These data point out the potential of wild plant materials as genetic resource in breeding programs aimed to increase phenolic content. -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 -8.0 -7.0 -6.0 -5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 P C 2 (1 2. 40 % ) PC1 (62.07 %) cultivars landraces wild types Fig. 1. Scatter plot of the observation scores of the first two principal components PC1 and PC2 obtained using the analytical data and accounting for about 75% of total variance of a tetraploid wheat collection grown at Valenzano (Bari, Italy) in 2010. The accessions were grouped in cultivars (ssp. durum), landraces (ssp. turanicum, ssp. polonicum, ssp. turgidum, ssp. carthlicum) and wild types (ssp. dicoccum and ssp. dicoccoides). A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 313 The principal component analysis of TSPC and AA data was performed, including also data related to grain yield measured in the same collection (KW and GYS, data not shown) and some qualitative characteristics, namely GPC, PPO activity, and BI of whole meal and dough, analyzed in a previous work (data sets reported in Taranto et al. 2012). Figure 1 plots the observation scores of the first two components, accounting for about 75% of total vari- ance for data. In particular, PC1 explained 62% of variability and enabled to distinguish the wild types from the majority of durum cultivars, while the landraces showed characteristics in-between. The ellipses, corresponding to the 95% confidence limit, can be assumed to define group boundaries. Overlapping among durum cultivars and landraces, in particular ssp. turanicum and ssp. polonicum, was observed. A few cultivars fell into the PC1 posi- tive quadrant (namely ‘Timilia’, ‘Belfuggito’, ‘Kiperounda’, ‘Polesine’ and ‘Aziziah’), probably because they are se- lections of local or exotic landraces (as in case of ‘Timilia’, ‘Kiperounda’, ‘Aziziah’, and ‘Polesine’, being the latter Forlani × Aziziah) or have ssp. dicoccoides in the pedigree (as for Belfuggito). Figure 2 plots the variable loadings of the first two components: PC1 was positively correlated with TSPC, AA, GPC, PPO, and BI, while was negatively correlated with yield components. Hence, the cultivars were linked to GYS and KW; on the contrary, the wild types were related to grain physico-chemical characteristics. Apart the efforts made to improve GYS and KW, probably an indirect selection for low TSPC occurred in many of the examined cultivars due to its positive correlation with brownness (Table 4), usually considered an undesired character. Correlation of TSPC with yield components and quality characteristics Table 4 reports the correlation between TSPC and AA, as well as with data of KW and GYS (data not shown) and data of GPC, PPO activity, and BI of whole meal and dough (data reported in Taranto et al 2012). The TSPC con- tent was positively correlated (p < 0.001) with AA, GPC, PPO, and BI of whole meal and dough, while significant negative correlations (p < 0.001) were observed with grain yield indices (GYS and KW). Since TSPC are mainly lo- cated in the outer layers of the caryopsis (Lempereur et al. 1997, Acquistucci et al. 2013), the observed negative TSPC-yield correlations might be attributed to dilution of phenolics in larger grains. Grain size, in turn, is known to be ruled by environmental factors and genetic components (Mpofu et al. 2006). Hence, for better investigat- ing the correlations between TSPC and the other traits, a statistical procedure for estimating adjusted values was Fig. 2. Variables loading plot for the first two principal components PC1 and PC2 obtained using the analytical data evaluated in a tetraploid wheat collection grown at Valenzano (Bari, Italy) in 2010. TSPC = soluble phenolic compounds; AA = antioxidant activity; GPC = grain protein content; BI = brown index; KW = thousand-kernels weight; GYS = grain yield per spike. BI dough BI whole meal GP C FP C P P O AA KW GYS -1.00 -0.75 -0.50 -0.25 0.00 0.25 0.50 0.75 1.00 -1.00 -0.75 -0.50 -0.25 0.00 0.25 0.50 0.75 1.00 PC1 (62.07% ) P C 2 (1 2. 40 % ) A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 314 applied. The values of TSPC adjusted to KW and GYS (reported in Tables 1 and 2) allow the analysis of TSPC inde- pendently of variations in KW and GYS. By comparing the correlations with observed and adjusted TSPC values, it appears that the r coefficients of all correlations increased when adjusted values were considered, except for GPC and PPO in case of the KW-adj TSPC values. The positive correlation with AA remarks the antioxidant effect of phenolics, although the r value was relatively low. TSPC were only a part of total phenolics; a stronger correlation was reported by Adom et al. (2003) with to- tal phenolics (the sum of free, soluble conjugate, and insoluble bound phenolics). On the other hand, Heimler et al. (2010) found no correlation between TSPC and AA in 9 durum cultivars: the small number of samples probably might account for the lack of significant correlation. As regards to the positive correlation between TSPC and both PPO activity and BI of whole meal and dough, similar correlations have been reported in hexaploid wheat (McCallum and Walker 1990). However, durum wheat shows significantly lower PPO activity (Bernier and Howes 1994, Feillet et al. 2000): a rapid test for detecting contam- ination of durum by hexaploid wheat is based on this difference (Mahoney and Ramsay 1992). The correlation between TSPC and both PPO and BI confirmed the key role of phenolics in browning: PPO catalyses the oxida- tion of phenols to quinones in the presence of molecular oxygen. Moreover, PPO-generated quinones are subse- quently converted to melanins by self-polymerization or condensation with amino acids or proteins (Matheis and Whitaker 1984). Besides, PPO activity has been associated to undesired browning of dough and noodles by many authors (Mahoney and Ramsay 1992, Feillet et al. 2000, Fuerst et al. 2006, Delvecchio and Pasqualone 2012, Ta- ranto et al. 2012). The correlations between TSPC, PPO activity and BI of whole meal indicate that phenolics start to be oxidized in the kernel, so as to originate the inherent brownness of endosperm (Feillet et al. 2000). Higher r values were ob- served considering the dough (Table 4), remarking that the addition of water, essential to obtain end-products, enables the whole manifestation of the enzyme activity. Assessing dough color in standard conditions is a fast and simple method to check the contemporary presence of phenolics and PPO, and to predict pasta color (Pasqua- lone et al. 2005). Among the cultivars with high TSPC content, special interest was put towards ‘Timilia’, the cultivar used to pre- pare an Italian bread awarded by Slow Food Presidium mark called “Pane nero di Castelvetrano”. This bread, pro- duced in Sicily area, is typically characterised by brownish crumb (Pasqualone 2012). The notably high TSPC level of ‘Timilia’, coupled to high PPO activity (Taranto et al. 2012), explains the intense brownness of the end-product. Table 4. Correlation coefficients (r) among observed and adjusted values of soluble phenolic compounds and some yield and quality characteristics in a collection of tetraploid wheat grown at Valenzano (Bari, Italy) in 2010. AAa GYSb KWc GPCd BIe Whole Meal BIe Dough PPOf TSPCg 0.396*** -0.561*** -0.491*** 0.606*** 0.568*** 0.628*** 0.467*** GYS-adj TSPCh 0.463*** -0.804*** -0.642*** 0.711*** 0.647*** 0.701*** 0.519*** KW-adj TSPCi 0.447*** -0.697*** -0.748*** 0.590*** 0.622*** 0.656*** 0.430*** aAA = antioxidant activity; bGYS = grain yield per spike; cKW = thousand-kernels weight; dGPC = grain protein content; eBI = brown index; fPPO = polyphenol oxidase activity; gTSPC = Soluble phenolic compounds; hGYS-adj TSPC = TSPC values adjusted to GYS; iKW-adj TSPC = TSPC values adjusted to KW; *** Significant differences at p < 0.001. Particularly interesting, also, was cv. ‘Langdon’, that showed a relatively high TSPC level (2.25 mg FAE g-1). In spite of that, this cultivar is known to have low PPO activity and, consequently, low BI (Fuerst et al. 2006, Taranto et al. 2012) remarking that: i) to provoke browning is needed the simultaneous presence of both substrates and enzyme; ii) in spite of the above reported correlations, it is possible to select wheats with high TSPC and AA but character- ized by low incidence of undesired traits, that can be used to realize end-products with improved healthy features. About the positive correlation between TSPC and GPC, phenylalanine-derived phenolics have a C skeleton but, from a biosynthetic perspective, they are more similar to N-based compounds, such as proteins. A relationship A G R I C U LT U R A L A N D F O O D S C I E N C E A. Pasqualone et al. (2014) 23: 307–316 315 between proteins and phenolic compounds, sharing the same precursor phenylalanine, has been reported (Jones and Hartley 1999), and increased levels of the precursor may lead to higher amounts of both the final products. Moreover, GPC has been found to be positively correlated to BI of whole meal and dough (Taranto et al. 2012) due to the above reported browning mechanism (Matheis and Whitaker 1984) and, since browning intensity is correlated with TSPC level, it is reasonable to expect that TSPC and GPC are related. A water-soluble copper-con- taining basic protein, assumed to be responsible for pasta brownness, seems to consist of a complex between phenolics and PPO developed during kernel maturation (Feillet et al. 2000). Conclusions The obtained data show that tetraploid wheat may constitute a valuable source of phenolic substances. The wheat species and cultivars examined exhibited significant differences in TSPC and in DPPH radical scavenging capacities. 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