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Article

The Response of Wheat with Different Allele Statuses of the Gpc-B1 Gene under Zinc Deficiency

by
Natalia Kaznina
1,*,
Nadezhda Dubovets
2,
Yuliya Batova
1,
Anna Ignatenko
1,
Olga Orlovskaya
2 and
Natalia Repkina
1
1
Institute of Biology of the Karelian Research Centre of the Russian Academy of Sciences, 185910 Petrozavodsk, Russia
2
Institute of Genetics and Cytology of the National Academy of Sciences of Belarus, 220072 Minsk, Belarus
*
Author to whom correspondence should be addressed.
Agronomy 2021, 11(6), 1057; https://doi.org/10.3390/agronomy11061057
Submission received: 15 April 2021 / Revised: 18 May 2021 / Accepted: 20 May 2021 / Published: 25 May 2021
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Abstract

:
The aim of this study was to investigate the effect of zinc (Zn) deficiency on the growth and grain yield of wheat with different allele statuses of the Gpc-B1 gene. For this research, common wild emmer wheat (Triticum turgidum ssp. dicoccoides (Koern. ex Asch. &Graebn.) Schweinf.), bread wheat (Triticum aestivum L. cv. Festivalnaya), and two intogressive lines were used. T. dicoccoides and introgressive line 15-7-1 carry a functional allele of the Gpc-B1 gene, while the T. aestivum cv. Festivalnaya and introgressive line 15-7-2 carry the non-functional Gpc-B1 allele. Zn deficiency did not affect the shoot height or fresh weight of any of the studied plants. The only exception was T. dicoccoides, where a small decrease in shoot height was registered. Additionally, under Zn deficiency T. dicoccoides had an increase in flag leaf area, spike length, and dry weight, as well as in grain number and grain yield per spike. The other variants did not experience changes in the above-described parameters under Zn deficiency. Under Zn deficiency, the Zn concentration in the grains was higher in the plants with a functional allele of the Gpc-B1 gene compared to the plants with a non-functional allele. These results show that wheat with a functional allele of the Gpc-B1 gene growing under Zn deficiency is capable of grain production with a sufficient Zn concentration without a decrease in yield.

1. Introduction

Zinc (Zn) is an essential micronutrient for all organisms, with key catalytic and structural functions [1,2,3]. Zn is involved in numerous aspects of cellular metabolism [4,5]. Redox-inert metal ions such as Zn are key structural components of a large number of proteins [6]. Among the structural domains of proteins, Zn finger domains have a major physiological relevance [1,7,8]. In addition to this, the role of Zn in membrane integrity and stabilization, in the alleviation of oxidative stress, and as an intracellular second messenger has also been reported [9]. Zn regulates transcription directly through effects on DNA/RNA binding, and through site-specific modifications, regulation of chromatin structure, RNA metabolism, and protein–protein interactions [10]. Zn has a key role in autophagy regulation [11]. As Zn is essential for proliferative cells, its role in the regulation of immune cells is crucial (Zn ions function as chemo-attractants for some immune cells and affect the maturation of dendritic cells and the development and function of T cells, etc.) [12]. Assessments made by the World Health Organization (WHO) concluded that approximately 50% of the world’s population has suboptimal zinc nutrition [13]. Disbalances with regard to Zn deficiency as well as Zn excess are linked to a large number of illnesses, particularly immune diseases [14,15]. According to the International Zinc Nutrition Consultative Group, the national prevalence of zinc deficiency is high in South Asia, most of sub-Saharan Africa, and parts of Central and South America [16]. An estimated 17.3% of people worldwide are at risk of inadequate Zn intake, and Zn deficiency causes a loss of appetite, anemia, growth retardation, hypogonadism, and depressed mental function, etc. [17,18]. Therefore, it is crucial to develop effective measures to mitigate Zn deficiency.
Wheat, rice, and maize are the most important cereal crops across the world. Cereals constitute the largest source of calories in developed and developed countries. Some estimates suggest that wheat alone makes up 20% of the food calories and daily proteins consumed by 4.5 billion people [19]. Global wheat production in 2021 increased to 780 million tons [20].
To mitigate Zn malnutrition in developed countries, supplementation and food fortification are the main strategies. However, these strategies are difficult to put into effect in developing countries, taking into consideration the economic and social conditions. In this case, the increase in Zn concentration in wheat grain and the edible parts of other cereal crops through agronomic intervention or genetic selection is a strategy to mitigate micronutrient malnutrition. Some authors have proposed using some parental species of cultivated wheat (crop wild relatives) such as Aegilops ventricosa Tausch (which naturally has high zinc concentrations) for breeding and crossing with cultivated wheat or for direct cultivation as a source of zinc [21,22]. Current agriculture practices can improve the micronutrient content of foods through correcting soil quality, seed quality, and plant breeding (by means of a classical selection process or genetic modification) [23]. Genetic biofortification in volving classical breeding, gene discovery, and marker-assisted breeding approaches is a strategy to produce crops with higher micronutrient levels [24]. Previously, it was found that the Gpc-B1 gene, encoding the NAC (NAM, ATAF, CUC) transcription factor, wasinvolved in the regulation of Zn content in plants [25,26]. The presence of a functional allele of the Gpc-B1 gene is typical for wild-type tetraploid wheat (Triticum turgidum ssp. dicoccoides (Koern. ex Asch. & Graebn.) Schweinf.), while most of the created tetraploid and hexaploid varieties of wheat have a non-functional copy of this gene or a deletion of this locus [25,27]. The use of the distant hybridization method makes it possible to breed wheat lines containing a functional allele of this gene. As a result, these lines are characterized by a higher content of proteins and trace elements in grain, including Zn [25,28]. Moreover, the Gpc-B1 gene is involved in the control of the aging process of plants [26]. The aging of leaves, especially the sub-flag and flag leaves, makes the provision for the remobilization of essential micronutrients from the leaves into the spike. The regulation of this process is crucial for enhancing the supply of Zn into developing grains. There are fragmentary available data on the reaction of wheat with a functional allele of the Gpc-B1 gene to Zn deficiency. Therefore, the present study was conducted to investigate the effect of Zn deficiency on the growth parameters and grain production of wheat with different Gpc-B1 allele statuses.

2. Materials and Methods

2.1. Plant Material

Seeds of wild emmer wheat (Triticum turgidum ssp. dicoccoides (Koern. ex Asch. & Graebn.) Schweinf.), common wheat (Triticum aestivum L. cv. Festivalnaya) and 2 introgressive lines (15-7-1 and 15-7-2) were received from the Institute of Genetics and Cytology of the National Academy of Sciences of Belarus in Minsk. Introgressive lines were created by crossing of T. aestivum cv. Festivalnaya and T. dicoccoides. Allelic status of the Gpc-B1 gene was determinated using codominant marker Xuhw89 [29]. Functionally active alleles of the Gpc-B1 gene were identified in T. diccocoides and introgressive line 15-7-1, whereas T. aestivum cv. Festivalnaya and line 15-7-2 had non-functional alleles. The non-functional allelic variant is characterized by the presence of a 1bp insertion within the coding region, resulting in a frame shift mutation that introduces a stop codon. The protein calculated for this allele is inactive.

2.2. Growth Conditions

The experiment was conducted in greenhouse conditions during the wheat-growing season at the Agricultural Experiment Station belonging to the Karelian Research Centre (61°45′6″ N, 119°25′10.9″ E) (WGS84), Petrozavodsk, Republic of Karelia, Russia. Wheat seeds were sown in pots (height 40 cm, diameter 20 cm) containing 5 kg of sand and12 seeds per pot. Half of the pots were irrigated by Hoagland solution with micronutrient addition including optimal Zn (2 µM) (Zn+, control), and the other pots were irrigated by solution with micronutrients excluding Zn salt addition (Zn−, Zn deficiency). Plants were harvested and analyzed at the seed-filling stage.

2.3. Biometric Measurements

The following morphological parameters and biometric measurements were obtained: main shoot height and shoot fresh weight (FW), flag leaf area, spike length and spike dry weight (DW), number of grains per spike, and grain yield per spike.
Leaf area was calculated as: S = 2/3ld, where l is the length and d is the width of the leaf [30].
FW was measured immediately after harvest. Spike and grain DWs were obtained after oven drying at 60 °C until constant mass.

2.4. Chemical Analysis

The Zn concentration in grain was expressed as mg per kg DW and was analyzed by atomic absorption spectroscopy (AA-7000 Shimadzu, Japan) after prior mineralization in a solution of HNO3 and HCl (9:1 v/v) using Speedwave Digestion (Berghof, Eningen, Germany). Experiments were carried out using the equipment of the Core Facility of the Karelian Research Center of the Russian Academy of Sciences.

2.5. Statistical Analyses

For measurement of each parameter, 20 plants were taken. The data were processed using Excel 2007 (Micosoft, Redmond, WA, USA). Data were analyzed by ANOVA. The Student’s t-test was used to compare means. Differences at p < 0.05 were considered as statistically significant.

3. Results

3.1. Effect of Zn Deficiency on Plant Growth

Zn deficiency did not affect the shoot height and FW of all variants of wheat plants, with the exception of T. dicoccoides which had a decreased shoot height compared to the control (Table 1).
At the same time, only in T. dicoccoides was the flag leaf area increased under zinc deficiency. The other variants had no differences in this parameter under Zn deficiency or its optimum amount (Figure 1).

3.2. Effect of Zn Deficiency on Grain Yield Components of Plants

Between all variants, only T. dicoccoides, containing a functional allele of the Gpc-B1 gene, demonstrated an increase in the spike DW under Zn deficiency (Table 2). Zn deficiency did not affect the spike length and DW in the introgressive lines. Moreover, the wheat cv. Festivalnaya had no statical significant differences in the spike length and DW, although a tendency towards a decrease in spike length may be suggested.
The changes in grain number and grain yield per spike also did not depend on the allele status of the Gpc-B1 gene in wheat under Zn deficiency. Among the studied variants, only T. dicoccoides showed an increase in grain number and grain yield per spike under Zn deficiency compared to the control (Table 3).

3.3. Effect of Zn Deficiency on Grain Zn Content

Zn deficiency affected the Zn accumulation in the grains differently between wheat with a functional and a non-functional allele of the Gpc-B1 gene. The plants with a functional allele of the Gpc-B1 gene (T. dicoccoides and line 15-7-1) under Zn deficiency accumulated more Zn in their grains than the control plants (Figure 2). T. aestivum cv. Festivalnaya with a non-functional allele of the Gpc-B1 gene under Zn deficiency had a lower Zn concentration its grains compared to the control, whereas line 15-7-2 had no difference in Zn concentration. According the results, the wheat with a functional Gpc-B1 gene allele had a higher Zn content in its grains than the plants with a non-functional allele of Gpc-B1 gene under Zn deficiency conditions.

4. Discussion

The Gpc-B1 gene encodes a NAC (domain present in NAM, ATAF, and CUC genes) transcription factor. NAC proteins are plant-specific transcription factors that have been shown to function in relation to plant development, as well as abiotic and/or biotic stress responses [31,32,33]. The main motivation for the introgression of the wild-type Gpc-B1 allele into a modern wheat cultivars is to improve its grain nutritional content [34]. Lines with a functional allele of the Gpc-B1 gene are capable of accumulating more trace elements including Zn in grains as compared to lines containing a non-functional allele. This is linked to their high capacity for remobilization of the microelements and their transport from the leaves to the spike during grain filling [35]. However, the response of plants with different functional statuses of the Gpc-B1 gene allele under Zn deficiency is poorly understood.
Zn deficiency in substrates leads to a decrease in the growth of cereals and their above- and underground biomass [36,37,38]. Primarily, this is more visible for species (varieties, genotypes) that are less tolerant to Zn deficiency. In our experiments, the height and FW of all of the wheat plants did not differ under the optimal or deficient Zn contents in the substrate. However, T. dicoccoides experienced an increase in flag leaf area under Zn deficiency. Considering that the flag leaf is the main donor of assimilates for grain formation in cereals, the increase in its area can result in an enhancement of grain production under micronutrients deficiency.
Zn deficiency in substrates causes a decrease in the Zn concentration in grains and can affect the grain yield. Previously, it was demonstrated that these conditions also resulted in a decrease in spike size, grain quantity in spikes, number of unsterile spikelets, and grain weight. In particular, Zn deficiency led to an almost two-folddecrease in grains per cob in a hybrid variety of maize, namely, Pioneer-32 [39]. Moreover, the maize variety Xun County showed a decrease in the length of its cobs and the weight of 1000 seeds [40]. Zn deficiency caused a decrease in grain weight and quantity per spike in the wheat variety Yumai 49-198 compared to plants under optimal Zn nutrition [41]. These changes could be a consequence of the negative effect of Zn deficiency on the processes of flower formation, pollination, and fertilization, and/or the interruption of physiological, and biochemical processes in mother plants [42,43,44,45].
Some researchers demonstrated that plants with different grain protein contents (GPCs) and allele statuses of the Gpc-B1 gene under sufficient trace element nutrition experienced no differences in grain yield. In particular, high and low GPC inbred lines of hard red spring wheat (ND683/‘Bergen’, ‘Glupro’/‘Keene’, and ‘Glupro’/‘Bergen’) [46] experienced no differences in yield, although there were differences in the 1000-grain weight [47]. In the same species of wheat, Carter et al. (2012) also demonstrated the absence of a difference in grain yield between isogenies lines with a non-functional or functional allele of the Gpc-B1 gene [48]. Nadolska-Orczyk et al. (2017) found that, under Zn deficiency, wheat with a non-functional allele of Gpc-B1 gene had increased grain size but a delayed aging process [49]. The authors supposed that these changes could be a result of a long ripening time. In our experiment, wheat plants with different allele statuses of the Gpc-B1 gene did not experience a significant decrease in the length and DW of the spike under Zn deficiency. Only T. dicoccoides demonstrated an increase in the spike DW under these conditions.
As described above, the low content of Zn in wheat grains is a crucial global problem. The use of the method of distant hybridization with the introduction of a functional allele of the Gpc-B1 gene from wild wheat aims to eliminate this problem. Particularly, Distelfeld et al. (2007) showed that the recombinant lines containing a functional allele of the Gpc-B1 gene accumulated more Zn than lines with a non-functional allele of the Gpc-B1 gene [35]. Winter wheat with the introgressing Gpc-B1 gene from T. dicoccoides has a significantly higher amount of Zn in the grains [28]. Our results demonstrated that under Zn deficiency the wheat plants with a functional Gpc-B1 gene allele (T. dicoccoides and line 15-7-1) accumulated more Zn in their grains than plants with a non-functional allele of the Gpc-B1 gene. We must then consider that our study takes into consideration only some varieties of cultivated wheat. It would therefore be useful to extend the study to other wheat varieties, preferably ancient ones, to better evaluate the results obtained in the present study.

5. Conclusions

According to our data, the wheat response to Zn deficiency does not depend on the occurrence of a functional allele of the Gpc-B1 gene. However, the Zn concentration in the grains was higher in the wheat with a functional allele of the Gpc-B1 gene in comparison to the wheat carrying a non-functional allele of the Gpc-B1 gene. We suppose that the realization of the distant hybridization method for the creation of wheat lines with a functional allele of the Gpc-B1 gene could be a solution for eliminating Zn deficiency in nutrition due to their ability to accumulate higher amounts of Zn in grains without a decrease in yield, even under Zn deficiency in substrates. However, further research is needed to assess the potential for wheat with a functional allele of the Gpc-B1 gene growing under Zn deficiency. Furthermore, research is still required with the aim of evaluating the capability of other introgressive lines with a functional and non-functional allele of the Gpc-B1 gene to accumulate the Zn in a higher amount in grains under Zn deficiency in substrate. The mechanisms of these phenomena also need to be studied.

Author Contributions

Conceptualization, N.K. and N.D.; Methodology, N.K., N.D. and Y.B.; data curation, N.K., Y.B., A.I. and O.O.; validation, N.K., N.D., Y.B. and O.O., Statistical analyses, N.R. and A.I.; Writing—original draft preparation, N.D., N.K., N.R. and Y.B.; Writing—review and editing, N.R. and N.K. All authors have read and agreed to the published version of the manuscript.

Funding

This study was financially supported by the Russian Foundation for Basic Research (RFBR) (Project No. 20-516-00016) and the Belarusian Republican Foundation for Fundamental Research (BRFBR) (Project No. B20P-240). This paper was written as part of a state order (No. 0218-2019-0074).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

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Agronomy 11 01057 g001 550
Figure 1. The effect of Zn deficiency on the flag leaf area (cm2) of wheat with different allelic statuses of the Gpc-B1 gene.Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 20).
Figure 1. The effect of Zn deficiency on the flag leaf area (cm2) of wheat with different allelic statuses of the Gpc-B1 gene.Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 20).
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Figure 2. The effect of Zn deficiency on Zn concentration in grains of wheat with different allele statuses of the Gpc-B1 gene. Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 3).
Figure 2. The effect of Zn deficiency on Zn concentration in grains of wheat with different allele statuses of the Gpc-B1 gene. Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 3).
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Table
Table 1. The effect of Zn deficiency on shoot height and FW of wheat with different allelic statuses of the Gpc-B1 gene. Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 20).
Table 1. The effect of Zn deficiency on shoot height and FW of wheat with different allelic statuses of the Gpc-B1 gene. Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 20).
VariantShoot Height (cm)Shoot FW (g)
Zn+Zn−Zn+Zn−
Triticum dicoccoides101.5 ± 1.98 b95.55 ± 1.77 c2.38 ± 0.17 c2.60 ± 0.17 c
Triticum aestivum
cv. Festivalnaya		87.42 ± 2.58 de81.85 ± 2.31 e5.36 ± 0.27 ab5.06 ± 0.18 b
Line 15-7-199.85 ± 3.78 bc94.05 ± 3.59 cd6.07 ± 0.46 a5.87 ± 0.41 ab
Line 15-7-2114.26 ± 3.33 a114.45 ± 2.54 a4.97 ± 0.27 b4.84 ± 0.26 b
Table
Table 2. The effect of Zn deficiency on the spike length and DW of wheat with different allelic statuses of the Gpc-B1 gene. Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 20).
Table 2. The effect of Zn deficiency on the spike length and DW of wheat with different allelic statuses of the Gpc-B1 gene. Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 20).
VariantSpike Length (cm)Spike DW (g)
Zn+Zn−Zn+Zn−
Triticum dicoccoides4.38 ± 0.14 c4.59 ± 0.13 c0.45 ± 0.02 c0.53 ± 0.02 b
Triticum aestivum
cv. Festivalnaya		7.08 ± 0.22 b6.67 ± 0.11 b1.01 ± 0.10 a1.20 ± 0.10 a
Line 15-7-18.20 ± 0.32 a8.41 ± 0.29 a1.01 ± 0.10 a1.18 ± 0.11 a
Line 15-7-28.21 ± 0.19 a7.99 ± 0.18 a1.33 ± 0.08 a1.42 ± 0.08 a
Table
Table 3. The effect of Zn deficiency on grain number and grain yield per spike in wheat with different allelic statuses of the Gpc-B1 gene. Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 20).
Table 3. The effect of Zn deficiency on grain number and grain yield per spike in wheat with different allelic statuses of the Gpc-B1 gene. Averages followed by different letters within the same parameter indicate statistically significant differences according to the t-test (p < 0.05). The data are expressed as means ± SE (n = 20).
VariantGrain Number,
Pieces per Spike		Grain Yield,
g per Spike
Zn+Zn–Zn+Zn–
Triticum dicoccoides12.84 ± 0.87 d14.30 ± 0.65 c0.29 ± 0.02 e0.37 ± 0.02 d
Triticum aestivum
cv. Festivalnaya		20.63 ± 2.47 b20.75 ±1.92 b0.68 ± 0.09 c0.91 ± 0.09 abc
Line 15-7-121.20 ± 2.23 b21.10 ± 2.08 b0.76 ± 0.09 bc1.01 ± 0.09 ab
Line 15-7-227.79 ± 1.23 a26.20 ± 1.28 a0.96 ± 0.06 ab1.07 ± 0.06 a
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MDPI and ACS Style

Kaznina, N.; Dubovets, N.; Batova, Y.; Ignatenko, A.; Orlovskaya, O.; Repkina, N. The Response of Wheat with Different Allele Statuses of the Gpc-B1 Gene under Zinc Deficiency. Agronomy 2021, 11, 1057. https://doi.org/10.3390/agronomy11061057

AMA Style

Kaznina N, Dubovets N, Batova Y, Ignatenko A, Orlovskaya O, Repkina N. The Response of Wheat with Different Allele Statuses of the Gpc-B1 Gene under Zinc Deficiency. Agronomy. 2021; 11(6):1057. https://doi.org/10.3390/agronomy11061057

Chicago/Turabian Style

Kaznina, Natalia, Nadezhda Dubovets, Yuliya Batova, Anna Ignatenko, Olga Orlovskaya, and Natalia Repkina. 2021. "The Response of Wheat with Different Allele Statuses of the Gpc-B1 Gene under Zinc Deficiency" Agronomy 11, no. 6: 1057. https://doi.org/10.3390/agronomy11061057

APA Style

Kaznina, N., Dubovets, N., Batova, Y., Ignatenko, A., Orlovskaya, O., & Repkina, N. (2021). The Response of Wheat with Different Allele Statuses of the Gpc-B1 Gene under Zinc Deficiency. Agronomy, 11(6), 1057. https://doi.org/10.3390/agronomy11061057

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