Recent Progress in Nutrition (ISSN 2771-9871) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is devoted to publishing high-quality papers that describe the most significant and cutting-edge research in all areas of nutritional sciences. Its aim is to provide timely, authoritative introductions to current thinking, developments and research in carefully selected topics. Also, it aims to enhance the international exchange of scientific activities in nutritional science and human health.

Recent Progress in Nutrition publishes high quality intervention and observational studies in nutrition. High quality systematic reviews and meta-analyses are also welcome as are pilot studies with preliminary data and hypotheses generating studies. Emphasis is placed on understanding the relationship between nutrition and health and of the role of dietary patterns in health and disease.

Topics contain but are not limited to:

  • Macronutrients
  • Micronutrients
  • Essential nutrients
  • Bioactive nutrients
  • Nutrient requirements
  • Nutrient sources
  • Human nutrition aspects
  • Functional foods
  • Nutraceuticals
  • Health claims
  • Public health
  • Diet-related disorders
  • Metabolic syndrome
  • Malnutrition
  • Nutritional supplements
  • Sport nutrition

It publishes a variety of article types: Original Research, Review, Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, etc.

There is no restriction on paper length, provided that the text is concise and comprehensive. Authors should present their results in as much detail as possible, as reviewers are encouraged to emphasize scientific rigor and reproducibility.

Publication Speed (median values for papers published in 2023): Submission to First Decision: 6.7 weeks; Submission to Acceptance: 16.1 weeks; Acceptance to Publication: 6 days (1-2 days of FREE language polishing included)

Current Issue: 2024  Archive: 2023 2022 2021
Open Access Original Research

Impact of Breeding on Free Amino Acids of Wholegrain Flour in Wheat and Role of Phenology Genes

Livinus Emebiri *

NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia

Correspondence: Livinus Emebiri

Academic Editor: Costantino Paciolla

Special Issue: Nutritional Quality Improvement Of Cereals and Their Derived Products

Received: August 18, 2023 | Accepted: November 20, 2023 | Published: November 24, 2023

Recent Progress in Nutrition 2023, Volume 3, Issue 4, doi:10.21926/rpn.2304023

Recommended citation: Emebiri L. Impact of Breeding on Free Amino Acids of Wholegrain Flour in Wheat and Role of Phenology Genes. Recent Progress in Nutrition 2023; 3(4): 023; doi:10.21926/rpn.2304023.

© 2023 by the authors. This is an open access article distributed under the conditions of the Creative Commons by Attribution License, which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is correctly cited.

Abstract

Wheat (Triticum aestivum L.) is pivotal to global food security, with its energy-rich grains that are also the major vegetable protein source in human diets. Decades of primary emphasis on grain yield improvement have delivered increased gains worldwide, but the grain protein content has declined. Since amino acids are biosynthetic precursors of proteins, this research hypothesized that their contents in the wholegrain flour have also been impacted by past wheat breeding. To test this, the free amino acid content of wholegrain flour in 92 wheat cultivars released in a 20-year period were analyzed by regression against the year of release. The slope of the regression showed positive increases per year in 16 of the 19 individual amino acid considered. Among these, the increases in lysine, aspartic acid and arginine were statistically significant (P < 0.05). The level of lysine in wholegrain flour increased by 0.30 mg kg-1 yr-1 (R2 = 0.24) over the 20-year period of breeding. Similarly, the content of methionine increased by 0.2 mg kg-1 yr-1 (P = 0.07; R2 = 0.16), but free asparagine also increased at the rate of 6.51 mg kg-1 yr-1 (P = 0.11; R2 = 0.13). The study sought further to explore the impact of selection for key developmental genes (Vrn, Ppd, and Rht) that have been targeted for artificial selection since 1840. Wheat cultivars carrying the semi-dwarfing gene, Rht-B1b, showed 15% lower content of lysine (the most limiting essential amino acid) and 25% lower content of free asparagine (precursor of the neurotoxin, acrylamide) in the wholegrain compared to the tall cultivars. At the Vrn-A1 gene, the winter-type cultivars carrying Vrn-A1v allele were 28% lower in free asparagine, and 6% lower in lysine content than their spring-type (Vrn-A1a) counterparts. In conclusion, the results indicated that, contrary to the declining trend in grain protein content, free amino acids in wheat wholegrain flour have been increased by past breeding. Selections for semi-dwarfism and vernalization response have had significant impacts on free amino acid content, implying that genetic manipulation of Rht-B1b and Vrn-A1 genes could present a pathway to reducing the acrylamide-forming precursor in wheat wholegrain flour.

Keywords

Wheat; wholegrain flour; free amino acid; phenology genes; genetic breeding

1. Introduction

Wheat (Triticum aestivum L.) grain is a major source of energy for a large proportion of the world’s population and is also a significant source of other important nutrients including proteins. The grain protein contains variables amounts of free amino acids, some of which are essential for human diet and health. The nutritional quality is determined by the proportion of ten amino acids, which cannot be synthesised, and hence must be provided in the diet. These include lysine, isoleucine, leucine, phenylalanine, tyrosine, threonine, tryptophan, valine, histidine, and methionine [1], and amongst these, lysine, isoleucine, and threonine are the most limiting. These are required for growth and maintenance, and if any one of them is limiting, the others will be broken down and excreted resulting in poor growth of livestock and humans [2].

Free amino acids are also linked to several economically important characteristics that contribute to the crop’s wide versatility. Some of them, such as serine, asparagine, methionine, and lysine are associated with drought tolerance [3]. Others serve as important substrates for dough micro-organisms [4,5] and react with sugars to contribute sensory properties such as aroma of bread, flavour, colour, and texture [6]. Arginine, histidine, and leucine produce a characteristic bread flavour, while proline leads to a cracker flavour [7]. However, some, such as asparagine, contribute towards formation of the potentially toxic compound, acrylamide [8,9,10,11]. Asparagine is a precursor of acrylamide, an extremely hazardous compound formed in foods via the Maillard reaction during thermal processing. It is classified in group 2A as a probable human carcinogen by the International Agency for Research on Cancer [12], but because the toxicology is not well understood, it is difficult for regulatory agencies to set appropriate limits for intake [11] as the body of evidence is still cloudy [13]. Although no legal legislation has yet been defined on the level of acrylamide in foodstuff [14], there is international agreement that more should be done to reduce the public’s exposure to dietary acrylamide, and maximum levels at which a food product cannot be marketed are currently under consideration and may come into force in 2023 [13].

Bread wheat has a high acrylamide risk, based on measured levels in wheat grain-based products [15,16], and how frequently these foods are consumed [17]. The dietary intake from untoasted bread is relatively low, about 2 µg day-1. However, acrylamide exposure from bread increases several folds for people eating toasted bread, which was found to contain 27-205 µg-kg acrylamide [18]. Tolerable daily intake is estimated to be 40 µg kgbw-1 day-1 for neurotoxicity, and for cancer, the estimate is between 2.6 and 16 µg kgbw-1 day-1 [19]. Additionally, tobacco smoke is a significant source of acrylamide [20], for people who smoke, acrylamide intake can be elevated significantly by 1-2 µg per cigarette [21].

Considerable efforts are now being focused on manipulating the amino acid composition and balance in wheat as an important component of using the grains as medicine. While decades of primary emphasis on grain yield improvement have delivered increased gains worldwide [22,23,24], the trends are mixed for quality traits [22,25]. Grain protein content has declined [23,26,27], probably due to the strong trade-off with grain yield, but positive genetic gains were found for dough strength related parameters (mixograph mixing time, torque, alveograph) and the overall quality of bread has increased [27,28]. The wholegrain free amino acid content is not normally targeted in breeding programs, but despite this, Anjum et al. [29] reported that newly released wheat cultivars are nutritionally more superior than the old wheat cultivars, especially in the percentages of essential amino acids, particularly lysine. There is a long-standing effort to increase the lysine content in cereals, but the genes associated with the trait have detrimental pleiotropic effects on yield, which has proved difficult to separate by conventional selection in breeding programs [1]. Because the free amino acids tend to increase linearly as a function of grain nitrogen content [30], we hypothesized that past wheat breeding has consistently reduced the level of free amino acids in modern wheat, which in the case of free asparagine, would be a desirable trend.

Genetic gains in grain yield have relied largely on selection for three major gene complexes that regulate vernalization requirement (growth habit) (Vrn genes), photoperiod response (Ppd genes) and plant height (Rht genes). The Vrn-A1 gene (formerly referred to as the Vrn1 gene) exerts the greatest influence on growth habit and is known to promote the expression of other genes that play central roles in abiotic stress tolerance [31,32,33]. The Ppd-D1 (formerly Ppd1) exerts the strongest influence on photoperiod sensitivity and is associated with other agronomic traits including spike architecture and multiple reproductive traits, such as anther length [34]. These genes account for 53% of the genetic variance for days to heading in southern Australia [35] and are among the many that have been targets for artificial selection since 1840 [36]. The objectives in the present research were to (1) assess impact of breeding on free amino acids by analyzing wheat cultivars bred in a period between 1960 and 2008 and (2) explore any functional link with major adaptation genes (Vrn, Ppd, and Rht), which will be crucial in targeting cultivars to future environments.

2. Materials & Methods

2.1 Experimental Conditions

The ninety-two (92) wheat cultivars used in this study are listed in Table S1 and were previously described in Emebiri [37]. Some of the cultivars were selected for their historical significance, such as the Australian hard wheat cultivar, Halberd, which was popular in the 70’s but phased out in favour of higher yielding varieties. Others represent cultivars that are still currently grown, and parents used in breeding programmes by various companies in Australia. The cultivars were grown in a sand culture environment in the glasshouse at the Wagga Wagga Agricultural Institute, Wagga Wagga, Australia (latitude 35.05° S, longitude 147.35° E) to allow for stringent control over plant nutrition, irrigation, weed and disease controls. The experimental units (pots) were arranged in a randomised complete block design with five replications. Before sowing the seeds, two treatments were applied to generate environmental variability: half of the pots for each variety were watered with a solution containing adequate amounts of phosphorus and calcium (Ca(H2PO4)2·H2O), magnesium (MgSO4·7H2O), potassium (KCl), copper (CuSO4·2H2O), Zinc (ZnSO4·7H2O), sodium and molybdenum (Na2MoO4·2H2O) and boron (H3BO3). Thereafter, these pots received a standard application of “Miracle-Gro”, a commercial all-purpose plant food every fortnight, until physiological maturity. The other half of the pots were watered with the same medium described above but with dolomite (CaMg(CO3)2) replacing the sources of calcium and magnesium. Thereafter, these pots were fed with a solution containing ammonium nitrate (NH4NO3) every fortnight, until physiological maturity. Throughout the growing period, all plants were kept under natural solar radiation, air temperature (27 ± 3°C) and relative humidity (70-80%).

2.2 Trait Measurement

Grains were milled using a coffee grinder, and approximately 500 mg of flour was accurately weighed, and free amino acids extracted with 5 ml 10 mM HCl for 30 min with gentle mixing. Two replicate samples were centrifuged and 20 µl aliquots analyzed at the Australian Proteome Analysis Facility Ltd (Macquarie University, Sydney, Australia). All amino acids were derivatised using the Waters AccQTag Ultra chemistry and analysed by Waters Acquity UPLC. The amino acid content in wholegrain flour of each genotype was quantified in milligram per unit dry matter (mg kg-1).

2.3 Statistical Analysis

The cultivars released in the years between 1960 and 1987 were excluded to achieve balance in consecutiveness and to estimate changes on yearly basis [28]. Trends in genetic changes were quantified as the slope (b value) [38] of the best fitting curve between each amino acid as the dependent variable and the year of release of the cultivar as the independent variable. The equation y = α + β (Year) + ε was used to estimate absolute genetic gain per year, where y is the average value of cultivars in the year of release, intercept was estimated by α, β is the regression coefficient, and ε is the residual error.

2.4 Functional Alleles at Major Phenology Genes

The wheat cultivars were classified for specific alleles at phenology genes (Ppd-B1, Ppd-D1, Vrn-A1, Vrn-B1, Vrn-D1, Rht-B1 and Rht-D1) according to Eagles et al. [31,39] and Martin et al. [40]. The allele designation (Table 1) was cross-checked against the more recent reports of Harris et al. [41] and Bloomfield et al. [42] and analyzed for allelic differences using analysis of variance tests. The functional alleles were uneven in the cultivars (Table 1), and alleles with less than 10% frequency were replaced with missing values.

Table 1 Description of major phenology genes and alleles categorised in the panel of wheat cultivars used for the study.

Normality checking was performed on residuals, and as all traits failed the normality tests, analysis of variance (ANOVA) was performed using the R package, lmPerm [43], which calculates a P value based on a permutation procedure that is robust to non-homogeneity of variance. Differences between means were tested for significance using Tukey’s Honestly Significant Difference (HSD) at P < 0.05.

3. Results

Genotypic values of the free amino acids are summarised in Figure 1, which showed that the grains were high in tryptophan but deficient in the other essential amino acids. The mean values (Table S2) showed that the most deficient were methionine, which accounted for 0.42% of the total, histidine (0.84% of the total), threonine (0.84%), and isoleucine (0.99%), all of which are essential for human health. Free asparagine, the precursor of acrylamide, was the most abundant in the wholegrain flour, accounting for 20.3% of the total.

Click to view original image

Figure 1 The content of free amino acids in the wholegrain flour of 92 wheat cultivars released between 1960 and 2008.

The slope of the regression showed positive increase per year for 16 of the 19 individual amino acid considered (Table 2). Of the 10 essential amino acids, slightly negative changes were observed in tryptophan and isoleucine, but these are not significant, and the r-squared values were close to zero (Table 2). Remarkably, the level of lysine in wholegrain flour of wheat increased significantly (P = 0.02) over the 2 decades of breeding (Figure 2). The regression analysis showed an increase of 0.30 mg kg-1 yr-1 (R2 = 0.24) for lysine, and 0.2 mg kg-1 yr-1 for methionine (P = 0.07; R2 = 0.16), two of the most limiting essential amino acids, but also an increase of 6.51 mg kg-1 yr-1 in asparagine (P = 0.11; R2 = 0.13), the precursor of acrylamide formation in wheat products, and of 6.53 mg kg-1 yr-1 (P = 0.02; R2 = 0.24) in aspartic acid, which is in the asparagine biosynthetic pathway (Table 2; Figure 2).

Table 2 Estimates of parameters of change in free amino acid content of wholegrain flour in wheat cultivars released during the period of 1988 and 2008 in Australia.

Click to view original image

Figure 2 Genetic changes in free amino acids measured in wholegrain flour of Australian wheat cultivars released during a 20-year period of 1988 to 2008. Blue line represents the regression line against year of release.

3.1 Allelic Effect of Phenology Genes

Allelic variation at major phenology genes was assessed for its effect on free amino acid content of wholegrain flour. Four of the free amino acids (histidine, methionine, serine, and tyrosine) were unaffected by allelic variation at any of the phenology genes (Table 3). Of the two major semi-dwarfing gene, alleles at the Rht-B1 gene locus showed multiple associations with both essential and non-essential amino acids, but the alleles at Rht-D1 only influenced the non-essential amino acids, particularly asparagine and components of its biosynthetic pathway, aspartic acid, glutamic acid, and glutamine (Table 3). The Rht-B1 gene alleles showed significant influence on five of the essential and eight non-essential amino acids. In all cases, the tall-height conferring alleles (Rht-B1a and Rht-D1a) were associated with increased contents, and the alternate dwarfing alleles (Rht-B1b and Rht-D1b) with the reduced contents of free amino acids (Figure 3).

Table 3 The P-values indicating statistical significance of allelic effect of major phenology genes on free amino acids measured in wholegrain flour of wheat cultivars used in the study.

Click to view original image

Figure 3 Allelic effect of major phenology genes on (A) free asparagine and (B) lysine content of wholegrain flour in wheat cultivars used in this study. The level of statistical significance is presented in Table 3, along with those for other amino acids measured in wholegrain flour of wheat. N = number of cultivars carrying the respective alleles.

Amongst flowering time genes, the photoperiod response genes (Ppd-B1 and Ppd-D1) did not show any association with the free amino acids, except with lysine content (Table 3). The essential and non-essential amino acids were differentially affected by vernalisation genes, with Vrn-A1 and Vrn-B1 mainly affecting the non-essential amino acids, while the Vrn-D1 affected the essential amino acids. Of special interest was the highly significant association of Vrn-A1 with asparagine, such that cultivars with spring-type allele at the locus were 50% higher in asparagine content than the counterparts carrying winter-type alleles (Figure 3).

4. Discussion

4.1 Selection for Height Genes has Affected Wholegrain Free Amino Acids

Free amino acids in the wheat wholegrain flour are rarely targeted for selection in traditional breeding programs [44] and it was rather surprising, therefore, to find positive increases in most of the individual free amino acids of wheat cultivars released over the 20-year period, including the content of free asparagine. A similar positive trend was reported by Poudel et al. [26], but Rapp et al. [45] found no change in asparagine content with year of release. In contrast, Corol et al. [46] observed an inverse relationship between asparagine content and year of cultivar registration, which the authors attributed to breeders selecting for reduced heights. Breeders have been selecting for reduced plant heights since semi-dwarfing genes were introduced into commercial wheat cultivars in the 1960s, and the findings of Corol et al. [46] suggests that this may have also resulted in reduced total grain asparagine content. These changes may be due to unconscious selection, as free amino acids are rarely targeted in breeding programs.

To explore the functional link between adaptation and free amino acids deposited in the grains, molecular analyses of the cultivars was undertaken with gene-based markers linked to phenology genes. The results showed a highly significant impact of alleles at the reduced height (Rht) and vernalisation (Vrn) genes, which have been among the many that have been targets for artificial selection since the green revolution was initiated in the 1960s. Alleles at the Rht-B1 and Rht-D1 loci showed significant (P < 0.05) statistical associations with multiple free amino acids including lysine (the most limiting essential amino acid) and of free asparagine, non-essential but important as precursor to the processing contaminant acrylamide. The association of Rht genes with free amino acids was reported by Oddy et al. [47], who identified a locus near Rht-B1 that overlapped with quantitative trait loci (QTL) for asparagine, glutamine, glutamic acid, and glycine, and another locus near Rht-D1 that controls aspartic acid. In the current study, alleles that confer tall heights (Rht-B1a and Rht-D1a) were associated with increased contents, and the alternate dwarfing alleles (Rht-B1b and Rht-D1b) with the reduced contents of free amino acids (Figure 3). The implies that tall wheat cultivars would be prone to accumulate higher amounts of asparagine in the grains than the semi-dwarf types. This supports the findings of Corol et al. [46] who reported higher asparagine in taller wheat plants but contrasts with Oddy et al. [47], where the mutated allele at Rht-B1 (which confers reduced height) was associated with increased asparagine content. The Rht genes encode mutant DELLA proteins that are negative regulators of several gibberellic acid responses (see review by [48]). Because gibberellic acids are involved in many developmental processes, Rht-B1b and Rht-D1b have a range of effects on the plant in addition to reducing plant height [49], and the impact on free asparagine suggests a pathway to reducing the precursor of the food contaminant. However, many side-effects associated with the genes are undesirable, and as new gibberellic-acid sensitive alternative dwarfing genes (eg. Rht18) are now available, a detailed analysis is required to comprehensively assess the impact of reduced height genes on free asparagine, given that the choice of cultivars is currently the only validated crop management strategy to reduce the acrylamide risk.

4.2 Effect of Vernalisation Genes

The wide adaptability of wheat is governed by the genes that control vernalization response (Vrn), photoperiod sensitivity (Ppd) and the genes controlling earliness per se (Eps) [50]. In wheat cultivars released over the 20-year period of wheat breeding, there was no significant effect of the photoperiod response genes, Ppd-B1 and Ppd-D1, on wholegrain free amino acid contents (Table 3). In contrast, there was a highly significant effect of the vernalisation response gene, Vrn-A1, on asparagine content (Table 3; Figure 3). The Vrn-A1 gene, located on chromosome 5AL, encodes a MAD-Box transcription factor [51], and allelic variations at the gene locus have been shown to affect other plant traits including freezing tolerance [32] and grain yield [52]. It is tightly linked to TaNUE1, a gene known to influence nitrogen use in wheat [53]. Nitrogen availability is a major factor in free asparagine accumulation [54,55] and nitrogen treatments for crude protein contents in flours above 13% have been shown to cause an increase of 130% to 270% in free asparagine in winter wheat, depending on year and cultivar [55,56]. The major vernalisation genes, Vrn-A1 and Vrn-D1, have been found to co-localise with chromosomal regions in wheat that control nitrogen-use efficiency [57], and thus, it can be argued that improvements in nitrogen-use efficiency would affect the content of free asparagine in wholegrain flour.

5. Summary and Conclusions

The content of free amino acids in wholegrain flour of wheat has increased due to breeding, despite not being a target for selection. The rate of increase was positive for majority of the free amino acids considered (Table 2), suggesting a correlated response to selection during the 20-year period of cultivar release. A functional link to phenology genes was established, particularly involving genes that control plant height and vernalisation response. Wheat cultivars carrying the semi-dwarfing gene, Rht-B1b, showed significantly reduced content of free asparagine in the grain than those carrying the tall-height conferring allele. Similarly, cultivars carrying the winter allele at the vernalization response gene, Vrn-A1, were significantly lower in free asparagine than their alternate counterparts. This suggests that genetic manipulation of these genes could present a pathway to reduce acrylamide-forming potential in heat-processed wheat products.

Acknowledgments

The data for this paper were from research funded by NSW Department of Primary Industry (NSW DPI), Wagga Wagga, NSW Australia and the Graham Centre for Agricultural Innovation, Charles Sturt University (CSU), Australia, through its New Initiative Grant scheme (REF. 1280-9). The work was facilitated by infrastructure provided by the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS) (APAF Project Number: PROJ 10435). We thank the anonymous reviewers of this paper for their invaluable suggestions to improve the original manuscript.

Author Contributions

The author did all the research work of this study.

Competing Interests

The author has declared that no competing interests exist.

Additional Materials

1.  Table S1: Names of cultivars used in the experiment, including date of release as a commercial variety and pedigree.

2.  Table S2: Mean content of free amino acids in mg/kg of grains in 92 wheat cultivars released for commercial cultivation between 1960 and 2008.

References

  1. Shewry PR, Hey SJ. The contribution of wheat to human diet and health. Food Energy Secur. 2015; 4: 178-202. [CrossRef]
  2. Shewry PR. Wheat. J Exp Bot. 2009; 60: 1537-1553. [CrossRef]
  3. Yadav AK, Carroll AJ, Estavillo GM, Rebetzke GJ, Pogson BJ. Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought. J Exp Bot. 2019; 70: 4931-4948. [CrossRef]
  4. Collar C, Mascaros A, Prieto J, De Barber CB. Changes in free amino acids during fermentation of wheat doughs started with pure culture of lactic acid bacteria. Cereal Chem. 1991; 68: 66-72.
  5. Mustafa A, Åman P, Andersson R, Kamal Eldin A. Analysis of free amino acids in cereal products. Food Chem. 2007; 105: 317-324. [CrossRef]
  6. Spicher G, Nierle W. Proteolytic activity of sourdough bacteria. Appl Microbiol Biotechnol. 1988; 28: 487-492. [CrossRef]
  7. De Barber CB, Prieto J, Collar C. Reversed-phase high-performance liquid chromatography analysis of changes in free amino acids during wheat bread dough fermentation. Cereal Chem. 1989; 66: 283-288.
  8. Mottram DS, Wedzicha BL, Dodson AT. Acrylamide is formed in the Maillard reaction. Nature. 2002; 419: 448-449. [CrossRef]
  9. Stadler RH, Blank I, Varga N, Robert F, Hau J, Guy PA, et al. Acrylamide from Maillard reaction products. Nature. 2002; 419: 449-450. [CrossRef]
  10. Zyzak DV, Sanders RA, Stojanovic M, Tallmadge DH, Eberhart BL, Ewald DK, et al. Acrylamide formation mechanism in heated foods. J Agric Food Chem. 2003; 51: 4782-4787. [CrossRef]
  11. Jackson LS. Chemical food safety issues in the United States: Past, present, and future. J Agric Food Chem. 2009; 57: 8161-8170. [CrossRef]
  12. International Agency for Research on Cancer. Some industrial chemicals. Lyon, France: International Agency for Research on Cancer; 1994.
  13. Hogervorst JG, Schouten LJ. Dietary acrylamide and human cancer; even after 20 years of research an open question. Am J Clin Nutr. 2022; 116: 846-847. [CrossRef]
  14. Başaran B, Aydın F. Acrylamide: A hidden danger. Health Food Biotechnol. 2019; 1: 113-117. [CrossRef]
  15. Curtis TY, Muttucumaru N, Shewry PR, Parry MA, Powers SJ, Elmore JS, et al. Effects of genotype and environment on free amino acid levels in wheat grain: Implications for acrylamide formation during processing. J Agric Food Chem. 2009; 57: 1013-1021. [CrossRef]
  16. Žilić S, Dodig D, Basić Z, Vančetović J, Titan P, Đurić N, et al. Free asparagine and sugars profile of cereal species: The potential of cereals for acrylamide formation in foods. Food Addit Contam Part A. 2017; 34: 705-713. [CrossRef]
  17. Food and Agriculture Organization. Acrylamide in food is a potential health hazard. Rome, Italy: Food and Agriculture Organization; 2005.
  18. Granby K, Nielsen NJ, Hedegaard RV, Christensen T, Kann M, Skibsted LH. Acrylamide-asparagine relationship in baked/toasted wheat and rye breads. Food Addit Contam. 2008; 25: 921-929. [CrossRef]
  19. Tardiff RG, Gargas ML, Kirman CR, Carson ML, Sweeney LM. Estimation of safe dietary intake levels of acrylamide for humans. Food Chem Toxicol. 2010; 48: 658-667. [CrossRef]
  20. Mojska H, Gielecińska I, Cendrowski A. Acrylamide content in cigarette mainstream smoke and estimation of exposure to acrylamide from tobacco smoke in Poland. Ann Agric Environ Med. 2016; 23: 456-461. [CrossRef]
  21. Claus A, Carle R, Schieber A. Acrylamide in cereal products: A review. J Cereal Sci. 2008; 47: 118-133. [CrossRef]
  22. Mirosavljević M, Momčilović V, Živančev D, Aćin V, Jocković B, Mikić S, et al. Genetic improvement of grain yield and bread-making quality of winter wheat over the past 90 years under the Pannonian Plain conditions. Euphytica. 2020; 216: 184. [CrossRef]
  23. Kadkol G, Sissons M, Lambert N, Lisle C. Genetic improvement in grain yield and quality of Australian durum wheat over six decades of breeding. Cereal Chem. 2023; 100: 109-130. [CrossRef]
  24. Thungo Z, Shimelis H, Odindo A, Mashilo J. Genetic gain for agronomic, physiological, and biochemical traits and quality attributes in bread wheat (Triticum aestivum L.): A meta-analysis. Euphytica. 2021; 217: 119. [CrossRef]
  25. Laidig F, Piepho HP, Rentel D, Drobek T, Meyer U, Huesken A. Breeding progress, environmental variation and correlation of winter wheat yield and quality traits in German official variety trials and on-farm during 1983-2014. Theor Appl Genet. 2017; 130: 223-245. [CrossRef]
  26. Poudel R, Bhinderwala F, Morton M, Powers R, Rose DJ. Metabolic profiling of historical and modern wheat cultivars using proton nuclear magnetic resonance spectroscopy. Sci Rep. 2021; 11: 3080. [CrossRef]
  27. Fradgley NS, Bentley AR, Gardner KA, Swarbreck SM, Kerton M. Maintenance of UK bread baking quality: Trends in wheat quality traits over 50 years of breeding and potential for future application of genomic‐assisted selection. Plant Genome. 2023; e20326. doi: 10.1002/tpg2.20326. [CrossRef]
  28. Guzmán C, Autrique E, Mondal S, Huerta-Espino J, Singh RP, Vargas M, et al. Genetic improvement of grain quality traits for CIMMYT semi-dwarf spring bread wheat varieties developed during 1965-2015: 50 years of breeding. Field Crops Res. 2017; 210: 192-196. [CrossRef]
  29. Anjum FM, Ahmad I, Butt MS, Arshad MU, Pasha I. Improvement in end-use quality of spring wheat varieties grown in different eras. Food Chem. 2008; 106: 482-486. [CrossRef]
  30. Mossé J, Huet J, Baudet J. The amino acid composition of wheat grain as a function of nitrogen content. J Cereal Sci. 1985; 3: 115-130. [CrossRef]
  31. Eagles HA, Cane K, Vallance N. The flow of alleles of important photoperiod and vernalisation genes through Australian wheat. Crop Pasture Sci. 2009; 60: 646-657. [CrossRef]
  32. Zhu J, Pearce S, Burke A, See DR, Skinner DZ, Dubcovsky J, et al. Copy number and haplotype variation at the VRN-A1 and central FR-A2 loci are associated with frost tolerance in hexaploid wheat. Theor Appl Genet. 2014; 127: 1183-1197. [CrossRef]
  33. Deng W, Casao MC, Wang P, Sato K, Hayes PM, Finnegan EJ, et al. Direct links between the vernalization response and other key traits of cereal crops. Nat Commun. 2015; 6: 5882. [CrossRef]
  34. Okada T, Jayasinghe JRM, Eckermann P, Watson Haigh NS, Warner P, Hendrikse Y, et al. Effects of Rht-B1 and Ppd-D1 loci on pollinator traits in wheat. Theor Appl Genet. 2019; 132: 1965-1979. [CrossRef]
  35. Cane K, Eagles H, Laurie D, Trevaskis B, Vallance N, Eastwood R, et al. Ppd-B1 and Ppd-D1 and their effects in southern Australian wheat. Crop Pasture Sci. 2013; 64: 100-114. [CrossRef]
  36. Joukhadar R, Daetwyler HD, Gendall AR, Hayden MJ. Artificial selection causes significant linkage disequilibrium among multiple unlinked genes in Australian wheat. Evol Appl. 2019; 12: 1610-1625. [CrossRef]
  37. Emebiri LC. Genetic variation and possible SNP markers for breeding wheat with low‐grain asparagine, the major precursor for acrylamide formation in heat‐processed products. J Sci Food Agric. 2014; 94: 1422-1429. [CrossRef]
  38. Gao F, Ma D, Yin G, Rasheed A, Dong Y, Xiao Y, et al. Genetic progress in grain yield and physiological traits in Chinese wheat cultivars of southern yellow and Huai Valley since 1950. Crop Sci. 2017; 57: 760-773. [CrossRef]
  39. Eagles H, Cane K, Kuchel H, Hollamby G, Vallance N, Eastwood R, et al. Photoperiod and vernalization gene effects in southern Australian wheat. Crop Pasture Sci. 2010; 61: 721-730. [CrossRef]
  40. Martin PJ, Eagles HA, Cane K. Flowering time of wheat varieties in New South Wales [Internet]. Canberra, Australia: Grains Research and Development Corporation; 2014. Available from: https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2014/03/flowering-time-of-wheat-cultivars-in-new-south-wales.
  41. Harris FA, Eagles H, Virgona JM, Martin PJ, Condon JR, Angus JF. Effect of VRN1 and PPD1 genes on anthesis date and wheat growth. Crop Pasture Sci. 2017; 68: 195-201. [CrossRef]
  42. Bloomfield MT, Celestina C, Hunt JR, Huth N, Zheng B, Brown H, et al. Vernalisation and photoperiod responses of diverse wheat genotypes. Crop Pasture Sci. 2023; 74: 405-422. [CrossRef]
  43. Wheeler B, Torchiano M, Torchiano MM. Permutation tests for linear models [Internet]. 2016. Available from: https://cran.r-project.org/package=lmPerm.
  44. Galili G, Amir R. Fortifying plants with the essential amino acids lysine and methionine to improve nutritional quality. Plant Biotechnol J. 2013; 11: 211-222. [CrossRef]
  45. Rapp M, Schwadorf K, Leiser WL, Würschum T, Longin CFH. Assessing the variation and genetic architecture of asparagine content in wheat: What can plant breeding contribute to a reduction in the acrylamide precursor? Theor Appl Genet. 2018; 131: 2427-2437. [CrossRef]
  46. Corol DI, Ravel C, Rakszegi M, Charmet G, Bedo Z, Beale MH, et al. 1H‐NMR screening for the high‐throughput determination of genotype and environmental effects on the content of asparagine in wheat grain. Plant Biotechnol J. 2016; 14: 128-139. [CrossRef]
  47. Oddy J, Chhetry M, Awal R, Addy J, Wilkinson M, Smith D, et al. Genetic control of grain amino acid composition in a UK soft wheat mapping population. Plant Genome. 2023; e20335. doi: 20310.21002/tpg20332.20335. [CrossRef]
  48. Sun TP. Gibberellin-GID1-DELLA: A pivotal regulatory module for plant growth and development. Plant Physiol. 2010; 154: 567-570. [CrossRef]
  49. Ellis MH, Rebetzke GJ, Chandler P, Bonnett D, Spielmeyer W, Richards RA. The effect of different height reducing genes on the early growth of wheat. Funct Plant Biol. 2004; 31: 583-589. [CrossRef]
  50. Kato K, Yamagata H. Method for evaluation of chilling requirement and narrow-sense earliness of wheat cultivars. Jpn J Breed. 1988; 38: 172-186. [CrossRef]
  51. Yan L, Loukoianov A, Tranquilli G, Helguera M, Fahima T, Dubcovsky J. Positional cloning of the wheat vernalization gene VRN1. Proc Natl Acad Sci. 2003; 100: 6263-6268. [CrossRef]
  52. Rollins JA, Drosse B, Mulki M, Grando S, Baum M, Singh M, et al. Variation at the vernalisation genes Vrn-H1 and Vrn-H2 determines growth and yield stability in barley (Hordeum vulgare) grown under dryland conditions in Syria. Theor Appl Genet. 2013; 126: 2803-2824. [CrossRef]
  53. Lei L, Li G, Zhang H, Powers C, Fang T, Chen Y, et al. Nitrogen use efficiency is regulated by interacting proteins relevant to development in wheat. Plant Biotechnol J. 2018; 16: 1214-1226. [CrossRef]
  54. Halford NG, Muttucumaru N, Curtis TY, Parry MA. Genetic and agronomic approaches to decreasing acrylamide precursors in crop plants. Food Addit Contam. 2007; 24: 26-36. [CrossRef]
  55. Weber E, Graeff S, Koller W, Hermann W, Merkt N, Claupein W. Impact of nitrogen amount and timing on the potential of acrylamide formation in winter wheat (Triticum aestivum L.). Field Crops Res. 2008; 106: 44-52. [CrossRef]
  56. Claus A, Schreiter P, Weber A, Graeff S, Herrmann W, Claupein W, et al. Influence of agronomic factors and extraction rate on the acrylamide contents in yeast-leavened breads. J Agric Food Chem. 2006; 54: 8968-8976. [CrossRef]
  57. Quraishi UM, Abrouk M, Murat F, Pont C, Foucrier S, Desmaizieres G, et al. Cross‐genome map based dissection of a nitrogen use efficiency ortho‐metaQTL in bread wheat unravels concerted cereal genome evolution. Plant J. 2011; 65: 745-756. [CrossRef]
Newsletter
Download PDF Supplementary File Download Full-Text XML Download Citation
0 0

TOP