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Oddy, J.; Halford, N.G.; Raffan, S.; Wilkinson, M.; Elmore, S. Breeding Wheat with Low Free Asparagine. Encyclopedia. Available online: (accessed on 20 April 2024).
Oddy J, Halford NG, Raffan S, Wilkinson M, Elmore S. Breeding Wheat with Low Free Asparagine. Encyclopedia. Available at: Accessed April 20, 2024.
Oddy, Joseph, Nigel G. Halford, Sarah Raffan, Mark Wilkinson, Stephen Elmore. "Breeding Wheat with Low Free Asparagine" Encyclopedia, (accessed April 20, 2024).
Oddy, J., Halford, N.G., Raffan, S., Wilkinson, M., & Elmore, S. (2022, April 07). Breeding Wheat with Low Free Asparagine. In Encyclopedia.
Oddy, Joseph, et al. "Breeding Wheat with Low Free Asparagine." Encyclopedia. Web. 07 April, 2022.
Breeding Wheat with Low Free Asparagine

Asparagine is an important plant metabolite, and since the discovery that it can be converted to acrylamide during the cooking and processing of food, there has been debate over how much its concentration could be reduced before effects were seen on other important traits. Breeding low-asparagine wheat could potentially be achieved in three main ways: directly, by using either existing or induced variation, or indirectly, through selection for related traits.

wheat asparagine breeding

1. Relationships between Free Asparagine, Quality and Agronomic Traits

1.1. Free Asparagine Concentration and Quality Traits

Quality traits in wheat are those that impact the functionality of the end product (i.e., the baking and nutritional quality of the grain), so encompass traits such as pre-harvest sprouting (PHS), protein content and hardness. Grain-free asparagine content has sometimes been found to correlate with some of these quality traits, but this differs greatly between studies (Table 1 and Table 2).
Table 1. Association between free asparagine and selected quality traits.
Asn Measurement Trait r p Reference
Loge transformation Farinograph absorption 0.94 <0.001 [1]
  Nitrogen: sulphur grain content 0.73 <0.01  
  Nitrogen grain content 0.62 <0.05  
Loge transformation Sprouting score 0.68 <0.001 [2]
  Endoprotease activity (sprouted) 0.69 <0.001  
  Endoprotease activity (ΔD) 0.60 <0.01  
Untransformed HFN 0.07 0.39 [3]
  Z-SDS 0.37 <0.001  
  Gluten content 0.44 <0.001  
  Starch content −0.32 <0.001  
  Water absorption 0.35 <0.001  
  Hardness index 0.03 0.68  
Loge transformation Absorption −0.03 >0.05 [4]
Untransformed Hardness index 0.15 >0.05 [5]
Log10 back-transformed Sulphur grain content 0.14 >0.05 [6]
  HFN 0.03 >0.05  
  Z-SDS −0.29 <0.001  
Untransformed HFN −0.17 0.36 [7]
  Gluten index −0.36 <0.05  
  Flour starch damage −0.18 0.33  
  Farinograph absorption −0.12 0.5436  
Asn (asparagine), HFN (Hagberg falling number), Z-SDS (Zeleny sedimentation index).
One potentially interesting relationship is that between free asparagine and PHS, because of the potential for protein hydrolysis during PHS to release free asparagine. PHS negatively impacts wheat quality in a range of ways, reducing flour yield, the quality of baked products, and nutrient content [8]. Simsek et al. [9] reported a moderately strong (r = 0.6–0.7) positive correlation between free asparagine, sprouting score, and endoprotease activity in samples of sprouted wheat grain, suggesting that there was a relationship between asparagine and PHS at high levels of sprouting. Additionally, in a study designed to render the asparagine synthetase 2 genes (TaASN2) non-functional through gene editing, Raffan et al. [10] observed a poor germination phenotype that could be rescued through exogenous application of asparagine to the soil, implying that low-grain asparagine content may inhibit germination and could perhaps also affect PHS. Further research is required to confirm the germination phenotype, but asparagine synthetases are known to play important roles in germination in other species [11][12]. No correlation has been observed to date between asparagine and Hagberg falling number (HFN) (Table 1), which is indicative of α-amylase activity and, therefore, PHS. However, it is possible that a relationship between grain asparagine content, germination and PHS could exist when asparagine concentration is very low (e.g., in TaASN2 edited lines) or very high (e.g., in artificially sprouted wheat samples).
In contrast to other quality traits, the relationship between grain asparagine content and protein has been tested numerous times and the results suggest that there is a positive correlation between the two traits, varying from weak to strong, under different conditions (Table 2).
Table 2. Associations between free asparagine and protein content.
Asparagine Measure Protein Measure R2/r p Reference
Untransformed Crude protein 0.86 * <0.001 [13]
Untransformed Protein content (2006 UN) 0.93 <0.01 [14]
  Protein content (2006 T) 0.63 <0.05  
  Protein content (2007 UN) 0.75 >0.05  
  Protein content (2007 T) 0.27 >0.05  
  Protein content (2006 N) 0.73 <0.01  
  Protein content (2007 N) 0.89 <0.01  
Loge transformation Protein content (non-sprouted) NA >0.05 [2]
  Protein content (sprouted) NA >0.05  
  Protein content (ΔD) NA >0.05  
Untransformed Total protein content 0.45 <0.001 [3]
  Wholemeal protein content 0.51 <0.001  
  Flour protein content 0.38 <0.001  
Loge transformation Protein content 0.43 <0.001 [4]
Loge transformation Protein content (rp) −0.03 >0.05 [15]
  Protein content (rg) −0.37 >0.05  
Untransformed Total protein content 0.52 <0.01 [5]
Log10 back transformed Total protein content 0.23 <0.01 [6]
Untransformed Crude protein 0.36 * NA [16]
Untransformed Crude protein 0.04 * NA [17]
Untransformed Wholemeal protein content −0.08 0.66 [7]
  Flour protein content −0.14 0.46  
* These values refer to R2 values, not r values. rp (phenotypic correlation), rg (genotypic correlation).
Although the relationship between free asparagine content and the protein composition of grain is complex, there are two factors that are well known to affect both: nitrogen and sulphur fertilisers. Nitrogen application increases both the free asparagine and protein content of grain, whereas sulphur application decreases free asparagine content and improves protein composition (see [18]). This is reflected in the correlation between free asparagine, nitrogen, and the nitrogen to sulphur ratio in wheat grain (Table 1), and implies that wheat uses free asparagine as a nitrogen store in the grain when sulphur is limiting [19]. Application of more sulphur is, therefore, desirable for both traits, except for its environmental pollution effects [20], whereas a balance between higher protein/higher free asparagine and lower protein/lower free asparagine must be struck when it comes to nitrogen application. Similar trade-offs arise because of the association of nitrogen with desirable agronomic traits, but there may be solutions in breeding.

1.2. Free Asparagine and Agronomic Traits

As a result of the positive association between free asparagine and nitrogen application, it might be expected that there would be a similar association between free asparagine and traits related to growth because of the positive relationship between plant growth and nitrogen. Positive correlations between free asparagine and yield have indeed been found (Table 3) but, perhaps surprisingly, these correlations have not been consistent across studies. Xie et al. [21], for example, found that free asparagine (measured in milligrams per gram of protein) was negatively correlated with grain yield in one year when the yield was low (between two and four tonnes per hectare), but positively associated in another year, when the yield was higher (between four and eight tonnes per hectare), suggesting a non-linear relationship. A reduction in plant stress could explain the negative correlation observed over lower yield values, whilst the positive correlation could be due to greater nitrogen availability in the soil. However, the relationship between absolute free asparagine content (measured without normalisation to protein) and yield was not as strong as the relationship when the normalisation of free asparagine to protein was performed. The lack of comprehensive yield/free asparagine studies does not provide strong support for hypotheses linking the two traits, but it could be worthwhile investigating the nature of the relationship between free asparagine and yield in more detail in future studies.
Table 3. Associations between free asparagine and agronomic measurements.
Asparagine Measure Agronomic Measure r p Reference
Loge back-transformed Flowering time −0.67 <0.001 [9]
Untransformed Plant height 0.41 <0.001 [3]
  TKW 0.03 0.75  
  Mean kernel diameter 0.13 0.11  
  Mean kernel weight 0.06 0.45  
  Yield −0.14 0.09  
  Precipitation (HH) −0.85 <0.05  
  Temperature (HH) 0.74 0.10  
Loge transformation HLW −0.40 <0.001 [4]
Untransformed Mean kernel diameter 0.37 <0.05 [5]
  Mean kernel weight 0.37 <0.05  
  Yield −0.32 >0.05  
  Days to harvest 0.61 <0.001  
Log10 back transformed TKW −0.24 <0.01 [6]
  HLW −0.21 <0.01  
Untransformed Nitrogen application 0.63 NA [16]
Untransformed TKW −0.27 0.15 [7]
  HLW −0.07 0.71  
Loge transformed responses YDT −0.73 <0.05 [22]
Per unit protein Yield (2018) 0.74 NA [21]
  Yield (2019) −0.56 NA  
Untransformed Yield 0.75 <0.001 [23]
TKW (thousand kernel weight), HH (heading to harvest date), HLW (hectolitre weight), YDT (yield gap-based drought tolerance).

2. Breeding Wheat with Low Free Asparagine

Breeding low-asparagine wheat could potentially be achieved in three main ways: directly, by using either existing or induced variation, or indirectly, through selection for related traits (Figure 1). New wheat varieties are commonly developed using existing variation; however, the only multi-environment quantitative trait locus (QTL) for low-asparagine known at present is the one in which the TaASN-B2 gene is either present or deleted, which has been shown to affect the free asparagine content of grain in two different field trials [24]. Selection for the TaASN-B2 deletion represents an easy gain for breeders, but further trials testing the effect of the deletion should be performed to confirm the stability of the effect across more environments. Other QTL controlling grain asparagine content have also been identified, but these have not yet been verified across more than one environment [9][6]. Identification of multi-environment QTL, in combination with genomic and marker assisted selection [6], could enable low-asparagine wheat to be developed, without the time-consuming or expensive need to screen large numbers of plants for asparagine concentration.
Figure 1. Strategies for the breeding of low-asparagine wheat.
Relying on natural variation is limited by the availability of existing variation, whereas techniques that induce or increase variation in the wheat genome could generate new variants with free asparagine content below the normal range. This has been demonstrated by the use of CRISPR/Cas9 technology to ‘knock out’ the TaASN2 genes, reducing grain asparagine content by up to 90% in glasshouse experiments [10]. The edited lines still need to undergo trials to confirm the stability of this phenotype in the field, but the stability of the ‘natural’ TaASN-B2 deletion phenotype under field conditions [24] is encouraging, suggesting that the TaASN2-edited phenotypes may be similarly stable. However, the interaction between the TaASN-B2 deletion and sulphur deficiency implies that TaASN2 variants may not be sufficient to control grain asparagine content during sulphur deficiency or other stresses, again highlighting the effects of E and G × E. On the other hand, the varieties carrying the TaASN-B2 deletion have intact TaASN-A2 and TaASN-D2 genes, whereas the edited lines lack any functional TaASN2 genes, so the edited lines will be valuable for investigating whether this prevents free asparagine accumulation under conditions of sulphur deficiency or other stresses.
The benefits of inducing variation in candidate genes was also recently demonstrated in a preprint by Alarcón-Reverte et al. [25], in which wheat plants possessing EMS-induced null TaASN-A2 alleles were grown in the field and tested for grain-free asparagine content. Reductions of between 9% and 34% were achieved, without any negative side effects on quality traits, demonstrating again the utility of induced variation and the lack of strong associations between free asparagine and quality traits.
As a result of the potential loss or partial loss of the low-asparagine phenotype of TaASN2 knockouts under stress, a third, complementary option for controlling grain asparagine content can also be adopted: breeding for stress tolerance. As discussed above, stress and grain asparagine content are closely linked, and it is often during stress that the highest grain asparagine contents are observed [26][27]. Breeding for stress tolerance could, therefore, ensure that a low-asparagine phenotype would be retained under stress. Selection for other related traits, such as those discussed above (e.g., PHS resistance, delayed senescence), could also provide indirect selection for lower-grain asparagine, but these traits are not as clearly linked with asparagine as asparagine is with stress.


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