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. 2022 Jan 19;17(1):e0262705. doi: 10.1371/journal.pone.0262705

Nutraceutical profiling of elite onion germplasm and breeding hybrids with improved nutraceutical quality

Najma Tabussam 1, Rashid Mehmood Rana 1,*, Muhammad Kausar Nawaz Shah 1, Muhammad Sheeraz Ahmad 2, Muhammad Sajjad 3, Yongqiang Lu 4
Editor: Muhammad Abdul Rehman Rashid5
PMCID: PMC8769310  PMID: 35045129

Abstract

Onion (Allium cepa L) is a major reservoir of important nutraceutical ingredients. Herein, nutraceutical profiling of elite germplasm was assessed and hybrids with improved nutraceutical quality were selected. The nutraceutical components were screened through Fourier Transform Infrared Spectroscopy (FTIR) analysis (scan range 4000-400cm-1) followed by spectrophotometric/colorimetric quantification in oven dried bulb samples. Line × Tester (L×T) analysis was used to identify potential hybrids with better nutraceutical quality. Based on common functional groups obtained from FTIR analysis, as well as bulb color, the onion genotypes were categorized into six groups viz., white, yellowish brown, light brown, dark brown, brown and purplish brown. Results indicated that the purplish brown, yellowish brown and dark brown genotypes had maximum concentration of pyruvic acid, total flavonoids and total phenolic content, while vitamin C content showed weak association with color pigmentation. The onion variety ‘Onion Swat’ contained the highest level of pyruvic acid (17.18 μM) and ‘MKS8823GO’ had the highest vitamin C content (13.83mg/100mL). The L×T analysis revealed that out of 35 crosses, ‘MKS-77127 × Onion Swat’ and ‘MKS-77127 × MKS777’ were the best hybrids with improved nutraceutical quality. Further, observations for specific combining ability, general combining ability, genetic versus environmental variance, heritability and heterosis indicated that the studied parameters were genetically inherited and could be improved significantly by adopting an appropriate breeding strategy.

Introduction

Vegetables are important since they contain components of nutritional importance including vitamins, minerals, phytonutrients and fibre as well as provide some carbohydrates. Vegetables are rich in antioxidants conferring defence against chronic diseases such as diabetes, cancer, obesity, syndrome and cardiovascular diseases [1]. Amongst vegetables, onion occupies a central position being a source of number of phytonutrients that are reputed for nutritional and pharmaceutical value [2].

Onion is recognized as a plant of medicinal importance and considered to mitigate the effect of serious risks associated with various diseases [3]. Onion genotypes may be sweet or pungent. Onion has various sulfur containing compounds that cause pungency through a series of reactions. When an onion tissue is raptured the aliinase enzyme comes into contact with flavor precursors, S-alk(en)yl-cysteine–sulfoxides and several volatile compounds, pyruvic acid and ammonia are produced during the aliinase reaction. Thus, amount of pyruvic acid produced during this reaction is best indicator of flavor precursors and has been used to measure onion pungency [4]. Phytochemicals such as flavonoids, phenolics and anthocyanins present in onion have therapeutical and pharmaceutical utility [5]. Phytochemicals presence in onion justifies various health benefits associated with onion, for example, it reduces the risk of gastric ulcer by scavenging free oxygen radicals and also by inhibiting the development of ulcer forming microorganism. It is also used as an antibacterial and antiparasitic agent [6].

Genetic diversity assessment is of prime importance for sustainable crop improvement through breeding programs [7]. The hybrid performance is reported superior to open pollinated varieties with respect to yield and nutritional quality traits [8]. FTIR spectroscopy is used to determine antioxidant potential of vegetables due to its rapid and precise estimation. It is also used to grouping of genotypes for different levels of nutraceutical components [9].

Genetics of nutraceutical quality in onion is still not explored due to attention being focused mainly on horticultural traits including disease resistance, storability, growth yield, and bolting etc. [10]. Phenolics and flavonoids are major classes of phytochemicals which impart color, taste and texture. These components are high in red and yellow onions and low in white onions. The flavonoids and phenolics contents vary with color of onion bulb, variety and type of onion [11–16].

Due to range of health benefits associated with these nutraceutical components and consumer’s preferences for better quality onion has increased demand for improved onion cultivars. To identify onion hybrids with better nutraceutical quality, a 5×7 L×T mating design was used. The results provide a reference for the commercial production of the identified onion hybrids with better nutraceutical quality.

Materials & methods

Collection of seeds

Seeds of 39 local and exotic onion genotypes (S1 Table) were obtained from National Agriculture Research Centre (NARC) Islamabad, Pakistan and Magnus Kahl Seeds (MKS), Australia. Seeds were sown in seedling germination trays. Forty-five days old seedlings were transferred to field at the Department of Plant Breeding and Genetics, PMAS-Arid Agriculture University, Rawalpindi (33.5651°N and 73.0169°E). The experiment was laid out in Randomized Complete Block Design (RCBD) with three replicates. After transplantation all standard field experimental protocols and cultural practices were performed. The row to row (R×R) distance was maintained at 15–20 cm and plant to plant (P×P) distance was 10–15 cm. Twelve plants (bulbs) per replicate per genotype were harvested randomly and stored under dark condition for further analysis.

FTIR analysis

Bulbs of stored onions were randomly selected from three technical replicates. Eight bulbs per genotype/replicate were used for analysis. Each onion bulb was slightly peeled to remove dry skin, cut into quarters. Ten gram of each sample was oven dried (65°C) for 24 h and ground into a homogenized powder by using pestle and mortar. These samples were stored in Eppendorf`tubes at 4°C for FTIR (Fourier Transform Infrared Spectroscopy) analysis. One hundred microgram of each powdered sample was placed into the sample holder and spectra were recorded in the range of 4000–400 cm-1 in an FTIR spectrophotometer (Tensor 27, Bruker, equipped with ZnSe ATR). The bands were identified by observing vibration of sample atoms when these were exposed to infrared region of electromagnetic spectrum and showed in wave number (cm-1).

Development of crosses

Five high yielding genotypes (Super Sarhad, MKS-77127, MKS-132807, MKS-TPSWP and MKS-14278) used as lines (female parent). The seven genotypes with high concentration of nutritional and pharmaceutical content (MKS-636ZU, MKS-8823GO, Onion Swat, Phulkara, 28540, 28539 and MKS777) were used as testers (male parent). Lines and testers were planted in a crossing block (season 2017) following line × tester crossing fashion to develop 35 crosses for subsequent analysis/evaluation.

The emasculation was done manually by removing the anthers of three fully mature umbels of each line by selecting eighty florets within each umbel. The emasculated umbels were covered with butter paper bags. The pollination was done manually by dusting the pollen grains with the help of camel hairbrush. The seeds of F1 crosses were harvested, cleaned and stored.

The harvested seeds of F1 crosses along with their parents were sown during 3rd week of Oct 2017 in germination trays filled with potting media containing soil, compost, and sand (1:1:1). The seedlings were transplanted in field after 45 days of germination by keeping P×P and R×R distance 10 cm and 15 cm, respectively. Before transplanting nursery in field, soil properties of field were studied and analysis revealed that Nitrogen (N), Phosphorus (P) and Potassium (K) were present in range of 87.8 (ppm), 78.44 (ppm) and 71.79 (ppm), whereas PH and EC were recorded 7.74 and 0.0321 (ds/m). The genotypes were assigned in field by using Randomized Complete Block Design (RCBD) containing 35 crosses and their 12 parents. The data were collected and subjected to the analysis of heterosis (Both mid and better parent), general and specific combining ability (GCA and SCA) and variance components for nutraceutical components. The data were analyzed using R Program (version 3.2.1).

Determination of nutraceutical components

The pyruvic acid contents were determined according to Anthon and Barrett by using dinitro phenyl hydrazine (DNPH) reagent [17]. Vitamin C content were determined by following the method of AOAC (Association of Official Analytical Chemists) [18]. Total phenolic contents (TPC) were determined using the Folin-Ciocalteu reagent, according to Zhang Shi-lin et al [19] and Total flavonoid content (TFC) were estimated by using 1g of each ground spice from oven dried onion samples followed by Kaur and Kapoor [20].

Statistical analysis

Data obtained from FTIR spectra were used to obtain mean and standard deviation (SD). The data of nutraceutical components were subjected to analysis of variance (ANOVA) followed by least significant difference (LSD) using R-project (version 3.4.1).

Results

Screening of onion genotypes for nutraceutical components through FTIR

The FTIR spectra of onion genotypes were shown in the S1 Fig. The data on peak values and functional groups as analyzed by FTIR showed strong characteristic absorption bands at different wavelengths (Table 1). Genotypes showed considerable differences for these characteristic bands due to the variation among functional groups that assigned to these bands. The structural formulas of chemicals provided information about functional groups that were helpful for identification of specific location of chemicals over different wavelengths and absorbance, while comparing with infrared (IR) spectrum. When functional groups were compared with IR chart (infared spectrum chart), they provided range and intensity of different chemicals.

Table 1. Accessions showing the presence of different functional groups at different wave lengths indicating different phytochemicals.

No. Genotypes Onion Bulb Color Functional Groups
Nitrile(C = N Stretch) Alcohol(OH Stretch) Amine(N-OH Stretch) Carboxylic Acid(O-H Stretch) Aromatic(C = C Bending) Amide(N-OH Stretch) Alkenyl(C = C Stretch) Ketone(C = O Stretch)
1 32813 Light Brown - + + + - + +
2 MKS0502 Yellowish Brown - + + + + + - -
3 MKS077127 Brown - + + + + + - -
4 MKS132807 Brown - - + + + + - +
5 MKS0103GB Dark Brown - + + + - + + -
6 28533 Light Brown - + - + + + - -
7 28535 Dark Brown - - + + + - - -
8 MKS050103GW White - + + + + - - -
9 28529 Brown - + + - + + - +
10 Super Sarhad Light Brown + + + + + - - -
11 28534 Brown - + + + + + - -
12 MKS0TPSWP Yellowish Brown - - + + + + + +
13 MKS777 Purplish Brown - + + + - - + +
14 MKS636ZU Purplish Brown - + + + - - + +
15 28538 White - + + + - + + +
16 MKS014278 Dark Brown - - + + - - + +
17 28537 Purplish Brown - + + + + + + -
18 Phulkara Yellowish Brown - + + + - - +
19 CGN18750 White - + - + - + + +
20 28530 Light Brown - + + + + + - -
21 MKS5021 Purplish Brown - + + + - - + +
22 Sand Light Brown + - + - + - - +
23 CGN16350 White - + - + - + + +
24 CGN20182 Brown - + - + - - - +
25 MKS8823GO Purplish Brown - + + + - + + +
26 28531 Light Brown + - + - + - - +
27 MKS1290SGB Yellowish Brown - + + - - + + -
28 28532 Light Brown - + + - + + + -
29 28539 Light Brown - + + + + + + -
30 170 White - + - + - + + +
31 NARC-2005 Purplish Brown - - + + - + + -
32 CGN15740 Light Brown - - - + + + + -
33 CGN24762 Light Brown + + - + + + - -
35 28540 Light Brown - + + - + + + -
36 171 White - + - + - + + +
37 Onion Swat Purplish Brown - + - + - + - -
38 28536 Light Brown - + + - + + + -
39 MKSRDFE Light Brown - + - + - - + -
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Wave numbers are from Tensor equipment with a scan range from 400 to 4000 cm-1 with a resolution of 4 cm-1 range.

Grouping of onion genotypes based on common bulb color and functional groups

Genotypes were categorized into six groups based on common bulb colors and functional groups (S2 Fig). Genotypes in group I (White color) had common functional groups alcohol/phenol OH stretch, carboxylic acid O-H and aromatic bending C = C (Table 2) suggesting that these functional groups were the major sources of proteins, anthocyanin, vitamin C, carbohydrates, phenols and polyphenols [21].

Table 2. Classification of genotypes based on common colors and functional groups.

Genotype Color Common Functional Groups Color Group
MKS050103GW White Alcohol/phenol O-H stretch; Group I
28538 Carboxylic Acid (O-H);
CGN16350 Aromatic C = C Bending
170
171
CGN-18750
MKS0502
MKS1290SGB Yellowish Brown Alkenyl/Phenol O-H stretch; Group II
MKS0TPSWP Amine (N-H stretch)
Phulkara
MKS132807
MKSRDFE Light Brown Alcohol/Phenol OH Stretch; Group III
Super Sarhad Amine N-H Stretch;
28540 Carboxylic Acid (OH) group;
28536 Amide (N-H Stretch);
CGN15740 Ester;
CGN24762 Aromatic C = C Bending
28533
28532
28531
28530
28539
Sand
MKS014278 Dark Brown Phenol/Alcohol O-H Stretch; Group IV
Amine N-H Stretch;
MKS0103GB Amide N-H Stretch;
Aromatic C = C Bending;
28535 Carboxylic Acid
MKS5021 Purplish Brown Phenol OH Stretch Group V
MKS777 Amide N-H Stretch
Onion Swat Amine N-H Stretch;
NARC-2005 Carboxylic Acid
28537
28529
28534 Brown Alcohol/Phenol OH Stretch, Group VI
CGN20182 Amine N-H Stretch,
28529 Carboxylic Acid OH Stretch,
MKS077127 Alkenyl
MKS132807
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The group II (yellowish brown) had common functional groups phenol O-H Stretch, and amine N-H Stretch indicating the bands at different wave lengths due the presence of O-H group, N-H stretch, C = 0 and C = C bending. The presence of these functional groups suggested that these genotypes were abundant in alcohol or phenol carbohydrates, lipids and polyphenols (Table 2).

The common members of Group IV (Dark brown) had alcohol/phenol OH stretch, amide N-H stretch, aromatic C = C Bending and carboxylic Acid. The group V (Purplish brown) and group VI (Brown) comprised of most common groups alcohol/ phenol O-H stretch, carboxylic acid and amide N-H stretch. The most common functional groups of group VI were alcohol/phenol O-H stretch, amine N-H stretch, carboxylic acid OH, stretch, ester and aromatic C = C bending (Table 2).

Quantification of nutraceutical components

Pyruvic acid (μM)

The pyruvic acid content ranged between 0.2μM- 17.18 μM and highly significant variation was recorded. The highest content was recorded for MKS777, Onion Swat and lowest for 28531 and 28540 (Tables 3 and 4).

Table 3. Analysis of variance showing significant differences among 39 onion genotypes for nutraceutical traits.
SOV DF Pyruvic Acid Content Vitamin C Total Flavonoid Content Total Phenolic Content
Blocks 2 17.59 10.18 84.5 2.42
Genotypes 38 392.29** 10.18** 84.50** 2334.12**
Error 76 4.02 0.7 2.09 0.01
CV 2.96 6.06 3.43 3.03
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**Significant level<0.01

Table 4. Mean performance of 39 onion genotypes for four nutraceutical traits.
Genotypes Pyruvic Acid Content Vitamin C Total Flavonoid Content Total Phenolic Content
32813 8.26 0.45 1.08 0.173
MKS0502 4.74 0.11 0.36 0.81
MKS077127 8.91 0.42 2.12 0.70
MKS132807 8.49 0.16 1.97 1.34
MKS0103GB 7.33 0.34 0.45 0.4
28533 13.82 0.43 2.3 0.19
28535 10.49 0.19 0.43 0.17
MKS050103GW 6.6 0.5 1.93 1.44
28529 7.54 0.28 1.146 0.12
Super Sarhad 9.32 0.34 1.76 0.34
28534 9.02 0.38 0.42 0.186
MKS0TPSWP 9.06 0.48 1.64 2.02
MKS777 17.10 0.45 1.53 0.16
MKS636ZU 8.193 0.5 2.17 0.66
28538 7.60 0.28 1.18 0.23
MKS014278 7.00 0.49 2.02 0.67
28537 7.43 0.33 1.17 0.29
Phulkara 16.99 2 2 1.45
CGN18750 7.57 0.17 0.72 0.07
28530 7.64 0.27 1.30 0.34
MKS5021 7.44 0.45 1.13 0.38
Sand 7.65 0.34 0.6 0.45
CGN16350 7.56 0.49 0.71 0.39
CGN20182 7.31 0.4 0.63 0.37
MKS8823GO 16 2.5 2.56 1.39
28531 0.42 2.4 1.75 0.69
MKS1290SGB 7.75 0.42 1.49 0.04
28532 7.68 0.11 0.36 0.8
28539 17 2.23 2 1.46
170 7.36 0.28 1.4 0.46
NARC-2005 7.49 0.49 1.5 0.48
CGN15740 7.43 0.33 1.26 0.45
CGN24762 7.69 0.27 0.84 0.44
28540 0.23 2.26 2.0 0.7
171 7.55 0.33 0.31 0.06
Onion Swat 16.7 2.01 2.01 1.59
28536 7.77 0.29 0.159 0.45
MKSRDFE 7.75 0.26 1.15 0.26
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Vitamin C (mg/100ml)

The vitamin C content showed highly significant variation among genotypes. The vitamin C content range between 0.11–2.5mg/100 ml. The highest vitamin C content were recorded for MKS8823GO and lowest for 28532 (Tables 3 and 4).

Total flavonoid (QE/g)

The total flavonoid contents were measured during present study and highly significant variation was observed among genotypes. These contents range from 0.15–2.56 (QE /g). The maximum value was recorded for MKS8823GO, and minimum was observed in 28536 (Tables 3 and 4).

Total phenolic (GAE/g)

The highly significant variation was observed for total phenolic contents during current study. Phenolic content range between 0.04–2.02 GAE/g. The highest phenolic content was recorded for MKS-TPSWP and lowest were recorded for 171(Tables 3 and 4).

Combining ability, variances, heterosis and heritability

Pyruvic acid content

All lines and testers showed non-significant general combining ability (GCA) values, while specific combining ability (SCA) values were expressed significantly for all combinations except of MKS132807 × MKS636 ZU (-0.258) (Table 5). The highest SCA value was obtained for MKS-14278 x MKS777 (0.505) while the lowest value was found for Super Sarhad x MKS777 (0.115).

Table 5. Estimates of general combining ability (GCA) and specific combining ability (SCA) effects of parents for 4 different traits based on Line× Tester in onion.
Combining Ability Pyruvic acid content Vitamin C content Total Flavonoid Content Total Phenolic content
GCA For Lines
MKS-14278 8.9E-16NS -2.2E-02NS -5.8E-02NS -0.02232NS
MKS-77127 -1.2E-15NS -3.0E-02NS -6.7E-02NS -0.03023NS
MKS-TPSWP -1.7E-15NS 2.7E-02NS 9.8E-02NS 0.026721NS
MKS132807 9.1E-16NS 4.4E-02NS -4.1E-03NS 0.044111NS
Super Sarhad 1.0E-15NS -1.8E-02NS 3.1E-02NS -0.01828NS
GCA For Testers
28539 -1.8E-14NS 0.0E+00 5.4E-02NS 0
28540 1.7E-14NS 0.0E+00 2.7E-02NS 0
MKS636ZU -2.5E-14NS 0.0E+00 1.6E-02NS 0
MKS777 8.7E-14NS 0.0E+00 -2.2E-02NS 0
MKS8823GO -3.1E-14NS 0.0E+00 -3.9E-02NS 0
Onion Swat 1.8E-14NS 0.0E+00 -1.9E-02NS 0
Phulkara -4.7E-14NS 0.0E+00 -1.6E-02NS 0
SCA For Crosses
Super Sarhad x MKS636 ZU 0.098** -0.022NS -0.340NS -0.06022NS
Super Sarhad x MKS8823GO -0.146** 0.476NS 0.439NS 0.641643**
Super Sarhad x onion swat 0.108** -0.316NS -0.293NS 0.275452NS
Super Sarhad x Phulkara 0.505** -0.164** -0.142NS -0.0704**
Super Sarhad x 28540 0.108** -0.316NS -0.239NS -0.26366**
Super Sarhad x MKS777 -0.115** -0.246NS -0.053NS -0.25756**
MKS-77127 x MKS636 ZU 0.057** -0.309NS -0.098** 0.041496NS
MKS-77127 x MKS8823GO -0.197** -0.279** -0.123NS 0.075063**
MKS-77127 x onion swat -0.329** 0.281NS 0.215NS -0.2128**
MKS-77127 x Phulkara 0.332** -0.309NS -0.236NS -0.35226**
MKS-77127 x 28540 -0.228** -0.197NS -0.107NS -0.27862NS
MKS-77127 x MKS777 -0.024** 0.332NS -0.064** -0.30914NS
MKS-77127 x 28539 -0.126** -0.014NS -0.079NS -0.30914NS
MKS-TPSWP x MKS636 ZU -0.289** 0.336** 0.307* -0.14229*
MKS-TPSWP x (MKS8823GO) -0.167** -0.346** 0.333NS 0.203549**
MKS-TPSWP x onion swat -0.268** -0.142NS -0.174NS 0.010284NS
MKS-TPSWP x Phulkara -0.289NS 0.336NS 0.383NS 0.0408NS
MKS-TPSWP x 28540 -0.177** 0.204NS 0.146** -0.34573NS
MKS-TPSWP x MKS777 0.098** 0.010NS -0.159** 0.335783NS
MKS-TPSWP x 28539 0.332** 0.041NS -0.112** 0.335783NS
MKS132807 x MKS636 ZU -0.258NS 0.003** 0.511NS 0.145477**
MKS132807 x MKS8823GO 0.230** -0.150NS -0.255** 0.226851NS
MKS132807 x onion swat 0.006** 0.145NS 0.447NS 0.033586NS
MKS132807 x Phulkara 0.006** 0.145NS -0.263** 0.318398NS
MKS132807 x MKS777 0.230NS 0.227* -0.291** 0.145477**
MKS132807 x 28540 0.484** 0.034** 0.116NS -0.14951**
MKS132807 x 28539 -0.289** 0.318NS -0.296NS 0.003071NS
MKS-14278 x MKS636 ZU 0.179** -0.318NS 0.456** -0.31603NS
MKS-14278 x (MKS8823GO) 0.484** 0.096NS 0.034* -0.31603NS
MKS-14278 x onion swat 0.179** -0.319NS 0.046NS -0.24584NS
MKS-14278 x Phulkara 0.484** 0.096** -0.089* 0.22206**
MKS-14278 x 28540 -0.309** 0.238NS -0.123NS 0.476356NS
MKS-14278 x MKS777 -0.228** 0.025** -0.142NS -0.16447**
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The variance components including dominant, additive, genotypic and environmental variance were calculated by using line × tester mating design (Table 6). The dominant and additive variances showed similar values i.e. 0. 279, respectively. The genotypic and environmental variances were 0.070 and 2.06×10−5, respectively. The line, tester, and line ×tester variance was 1.56×10−16, 5.81×10−15 and 0.069, respectively.

Table 6. Estimates of broad sense, narrow sense heritability and variance components for four nutraceutical traits.
Trait Dominant variance Additive variance Genotypic Variance Environmental Variance Line Variance Tester Variance Line×testers Interaction Gene action Broad sense heritability Narrow sense heritability
Pyruvic acid content 0.27 0.27 0.06 2.06×10−5 1.56×10−16 5.81×10−15 0.06 Dominant-Additive 0.99 0.49
Vitamin C 0.24 0.25 0.06 1.88×10−5 0.003683 0.1 0.06 Additive 0.99 0.51
Total Flavonoid content 0.27 0.32 0.08 2.42×10−5 0.009488 0.004488 0.06 Additive 0.99 0.53
Total Phenolic content 0.311 0.31 0.07 2.3×10−5 2.61×10−16 3.43×10−18 0.07 Dominant-Additive 0.99 0.49
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Heterosis and heterobeltiosis were calculated for pyruvic acid content. The heterobeltiosis ranged from 17.603% to -2.912% for 35 crosses, while heterosis was found 26.1469% to 13.82% for all the 35 crosses. Non-significant differences were observed for parents vs crosses and lines ×Testers, while the significant differences were observed for lines and testers (Table 7). The value of broad sense heritability (0.99%) was higher than that narrow sense heritability (0.49%) for pyruvic acid content (Table 6).

Table 7. Analysis of variance for parent’s vs crosses indicating significance level of heterosis for nutraceutical traits.
Source of Variation Df Pyruvic Acid Content Total Flavonoid Content Vitamin C Total Phenolic content
Replications 2 3.67E-02* 0.117755* 0.00101627NS 55.30289*
Treatments 46 5.33E-02* 4.015052** 2.067244** 388.6539**
Parents 11 2.10E-01** 1.446537** 0.0487233** 528.9077**
Parents vs crosses 1 5.81NS 109.0098** 29.175938** 475.1988**
Crosses 34 4.085266e-03NS 1.757959** 1.922298** 340.7322**
Lines 4 6.686667e-03** 3.197933NS 13.157911** 1489.795**
Testers 6 1.83E-02** 4.909912* 1.08394762* 865.97148NS
Lines×Testers 24 9.333333e-05NS 0.7299** 0.260251** 17.911*
Error 92 5.62E-02 0.103903 0.004384 52.43008
Total 140
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**Significance level<0.01

*Significance level<0.05

Vitamin C

The non-significant differences were observed for GCA (lines and testers), while highly significant differences were recorded among crosses for SCA except of few. The highest SCA was observed for MKS132807 x MKS777, (0.227), while lowest was expressed in MKS132807 x MKS636 ZU (0.003) (Table 5). The dominant and additive variances were calculated as 0.24 and 0.25, respectively. The genotypic and environmental variances were 0.06 and 1.88×10−5, respectively. Line, tester, and line ×tester variances were 0.003, 0 and 0.06, respectively (Table 6).

The average heterobeltiosis for vitamin C content ranged from 37%-99.9%, while the significant positive heterobeltiosis was recorded for MKS-14278 x 28540(98.13%), Super Sarhad ×28540 (94.25%) and for Super Sarhad×28540(93.57%) etc. The average mid parent heterosis was recorded from 83.34%-99.99% for all the 35 crosses. The ANOVA showed highly significant differences for vitamin C content (Table 7). Maximum significant mid parent heterosis was recorded for MKS-14278×Phulkara (99.99%), Super Sarhad×28539(99.99%) and for Super Sarhad×Onion Swat (99.98%) (Table 8). The broad sense heritability (0.99%) was found greater than narrow sense heritability (0.51%) (Table 6).

Table 8. Estimation of mid and better parent heterosis for four nutraceutical components.
Crosses Pyruvic acid content Vitamin C TF content TP content
MPH BPH MPH BPH MPH BPH MPH BPH
Super Sarhad x MKS636 ZU 16.14** 15.53* 96.73* 93.57* 95.54* 33.66* 4.48** -8.41*
Super Sarhad x (MKS8823GO) 16.72** 13.43* 99.98* 74.98* 99.26* 39.44* 4.18** -6.81*
Super Sarhad x onion swat 17.03** 6.76** 99.99* 231.4* 99.23* 61.01* 5.90** -13.16*
Super Sarhad x Phulkara 18.97** 0.09* 99.98* 79.91* 99.89* 89.52* 5.05** -9.69*
Super Sarhad x 28540 22.58** -19.93* 100.0* 94.26* 99.63* 97.22* 4.46* -2.81*
Super Sarhad x MKS777 18.4** 3.42** 99.9** 80.30* 98.87* 34.05* 4.05** -4.48*
Super Sarhad x 28539 17.13** 3.42** 100.0* 91.62* 99.60* 63.32* 4.59*** 1.67***
MKS-77127 x MKS636 ZU 13.82** 9.22** 229.8* 192.2* 98.83* 43.17* 4.83* -26.73*
MKS-77127 x (MKS8823GO) 14.30 6.19 211.54 202.29 99.83 47.79 4.47 -25.99
MKS-77127 x onion swat 14.44** 0.12** 180.8* 116.5* 99.72* 73.65** 7.04** -2.31***
MKS-77127 x Phulkara 16.06** -5.95* 240.5* 178* 99.47* 92.55* 5.79* -8.27*
MKS-77127 x 28540 23.39** -21.12* 224.7* 199.7* 99.21** 84.74** 4.84** -23.74*
MKS-77127 x MKS777 15.67 -2.91 240.29 179.10 99.42 41.32 6.93 -12.76
MKS-77127 x 28539 14.45** -2.91* 223.0* 202.1* 99.08* 75.50* 5.04** -21.29*
MKS-TPSWP x MKS636 ZU 14.63** 8.93** 661.9** 659.7* 99.50** 31.47** 3.12** -4.48*
MKS-TPSWP x (MKS8823GO) 18.78** 16.68** 537.63** 448* 99.29* 34.14* 4.26** -1.32*
MKS-TPSWP x onion swat 15.40** 9.96** 311.1** 191.0** 99.26** 52.82** 5.88** -17.11*
MKS-TPSWP x Phulkara 17.30** 2.63*** 391.71** 350.08** 99.86* 77.51** 5.09* -14.04*
MKS-TPSWP x 28540 26.15** -15.69* 337.57** 317.07* 99.63** 84.19* 4.52* 3.17*
MKS-TPSWP x MKS777 16.81** 6.30** 746.14* 676.20* 99.97* 30.13* 4.15* -9.44*
MKS-TPSWP x 28539 19.43** 9.96** 428.69* 397.39* 99.60* 54.82* 4.65* 1.30**
MKS132807 x MKS636 ZU 17.01** 2.32** 84.77* 79.99* 98.99* 46.86* 3.59* 0.75*
MKS132807 x MKS8823GO 17.70** 6.07* 87.13** 65.19*** 98.73** 50.85* 3.30* 2.79**
MKS132807 x onion swat 18.13* 13.30* 90.91* 37.56** 99.89* 79.82* 4.50* -21.10*
MKS132807 x Phulkara 20.50* 14.58* 83.35* 63.46** 99.60* 85.67* 3.81* -18.33*
MKS132807 x MKS777 19.84* 18.99* 85.54* 81.96* 99.33* 78.42* 3.51* -0.34*
MKS132807 x 28540 25.49* -11.86* 83.39** 63.84** 99.61* 44.86* 4.66* -12.79*
MKS132807 x 28539 18.29 17.60 85.67 79.65 99.22 81.82 3.58 -4.49
MKS-14278 x MKS636 ZU 15.56* 12.23* 100.00* 89.39* 99.13* 39.07* 4.05** -1.87*
MKS-14278 x MKS8823GO 16.13** 15.59* 100.00* 81.21* 98.89* 42.40* 3.77** 0.05**
MKS-14278 x onion swat 16.40* 8.58* 100.00* 46.79* 99.92* 66.55* 5.18* -18.80*
MKS-14278 x Phulkara 18.34 1.58 100.00 73.81 99.65 96.53 4.44 -15.84
MKS-14278 x 28540 21.91** -19.44* 100.09** 98.14** 99.39** 94.21* 4.01* 3.35*
MKS-14278 x MKS777 17.83* 5.08* 300.00* 248.34* 99.68* 37.40* 3.56* -11.41*
MKS-14278 x 28539 16.48** 5.08* 100.01* 100.81* 99.31* 68.21* 4.11* -1.08*
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Total flavonoid content

The non-significant GCA differences were shown by line×tester for total flavonoid content, while highly significant differences were determined for SCA among maximum number of crosses. The high SCA value was recorded for MKS-1478×MKS636ZU (0.456) and low value was observed for MKS-77127 x MKS636 ZU (-0.09) (Table 5). The additive and dominant variances were calculated as 0.32 and 0.27, respectively. The genotypic and environmental variances were 0.08 and 2.42×10−5, respectively. The variances for line, line×tester and line×tester interactions were 0.09, 0.004 and 0.06, respectively (Table 6).

Average heterobeltiosis for total flavonoids was recorded as 97.21% to 30.13% for 35 crosses (Table 8). The maximum significant positive heterosis was recorded for three crosses for Super Sarhad × 28540 (97.21%), MKS-14278 × Phulkara (96.52%) and for MKS-14278 × 28540 (94.21%). Significant differences for total flavonoids were observed among the genotypes (Table 7). The significant differences were also observed for parents, parents vs crosses for lines and also for line×testers while non-significant differences were observed for testers.

Total phenolic content

The GCA effects were found non-significant for line×tester, while highly significant SCA differences were measured for maximum number of crosses. The high SCA value was recorded for Super Sarhad×MKS8823GO (0.641) and low was observed for MKS132807×28540(-0.14) (Table 5). The dominant and additive variances for total phenolic content were calculated similar as 0.3. The genotypic and environmental variances were 0.07 and 2.3×10−5, respectively. The line, tester and line×tester interactions were 2.61×10−16, 3.43×10−18 and 0.07, respectively (Table 6).

The ANOVA shows highly significant differences for total phenolic content (Table 7). The average heterobeltiosis for total phenolic content ranged from 3.35–26.72%, while the significant positive heterobeltiosis was recorded for MKS-14278 × 28540 (3.35%), MKS-TPSWP ×28540 (3.174%) and for MKS132807 × MKS8823GO (2.78%). Average mid parent heterosis was recorded for 7.04% -3.12% for all the 35 crosses (Table 8). The maximum positive significant mid parent heterosis was recorded for MKS-77127 × Onion Swat (7.04%), MKS-77127 × MKS777 (6.92%) and for Super Sarhad × Onion Swat (5.90%), while the maximum positive significant heterobeltiosis was recorded for MKS-14278 × 28540 (3.35%), MKS-TPSWP × 28540 (3.17%) and for MKS132807 × MKS8823GO (2.78%). The broad sense heritability (0.99%) was found greater than narrow sense heritability (0.53%) (Table 6).

Discussion

Onion has been used as a condiment as well as medicine since ancient times. The current study was planned to screen out the existing germplasm collection for nutraceutical traits and to understand the genetics of various nutraceutical components. Germplasm was screened for nutraceutical contents (pyruvic acid, vitamin C, Total flavonoids and Total phenolics) using FTIR and spectrophotometery/colorimetry. The screened genotypes were then crossed following line × tester technique. The obtained crosses /combinations were also tested for their nutraceutical contents (Tables 3–8)

Nutraceutical profiling through FTIR

Pyruvic acid acts as an indicator for determination of pungency. Genotypes were divided into six different groups based on common bulb color and functional groups (Described in Result Section) and we found a significant association among bulb colors and pyruvic acid content as light-colored genotypes were found with lower pungency and vice versa as revealed by FTIR as well as spectrophotometry. FTIR spectrum (Range 4000–515 cm-1 S1 Fig) have shown scan range of detected chemicals. The key feature of the spectrum are absorbance or vibrational modes associated with pyruvic content in wave range of 1700–1000 cm-1, however, variation exists among genotypes for wavenumbers and vibrational modes indicating presence of pyruvic acid. Previous study reported that there are no distinct spectral features of onion that are consistently associated with pyruvate, they observed peak of carboxylate functional group at 1700 cm-1, while this peak is absent or merged with other constituents at 1600 cm-1 indicating low concentration of pyruvate [22]. During current study we have found that vitamin C content fall within fingerprint region of 1200-1600cm-1 in spectrum of onion genotypes with different vibrational modes (1003.65,1041.49,1184.92 etc.) indicating intensity of vitamin C content. Nevertheless, vibrational modes may vary among genotypes. FTIR spectrum revealed presence of TP content in fingerprint region of 3000-3500cm-1 with different vibration modes predicting intensity of TP content (high, low or moderate). Previous study has reported use of FTIR analysis for detection of bioactive compounds in fresh onion leaves and similar to current observation they observed that methanolic extract is more active for detection of bioactive compounds including phenols and vitamin C and contrary to our finding they observed these compounds in the infra-red radiation range of 600–4000 cm-1 [23].

We have recorded flavonoid content in fingerprint region of 2500–2999 cm-1 with different vibrational modes or peaks that may vary among genotypes. Previously, quercetin content was recorded in spectrum of onion genotypes of three different colors (red, yellow, and white). The frequency range was 400–4000 cm-1, however, there was no clear difference in spectra of three genotypes [24].

Quantification of nutraceutical components

This study casts an insight over the importance of pyruvic acid content. The pungency is an important characteristic of onion. Mostly, consumers do not prefer the onion with high pungency, however, this preference varies among populations/countries. People in western countries prefer less pungent while south Asian people like onion with high pungency [25]. Thus, the measurement of pyruvic acid content provides a relative degree of pungency in onion bulb. The onion genotypes used in this study were grouped in various colors viz. White, Yellowish Brown, Light Brown, Brown, Dark Brown, and Purplish Brown. Our observations establish a relationship between bulb color and pungency/pyruvic acid contents as lighter color was found associated with lower pungency and vice versa as revealed by FTIR as well as spectrophotometry (Tables 2 and 3). These observations are in concurrence with previous findings [26]. A significant variation in PA suggests the involvement of genetic effect as evident from inheritance studies where genotypic variance was quite higher than environmental variance. This indicates the lesser influence of environment over PA content. Our findings are supported by the observations by Yoo et al [27]. They observed small impact of environment including soil sulfur content, indicating it as a strongly inherited trait. Further, non-additive type of gene action was predicted as SCA was significant [28, 29].

Vitamin C acts as a free radical scavenger with the ability to scavenge free radicals and other oxygen reactive species (ROS). During current study, vitamin C content were measured in 39 onion genotypes of six different colors. Results indicated that white onion had lowest vitamin C content as compared to colored onions, however, a mixed behavior was observed among colored ones. Some genotypes of purplish brown group had high concentration of vitamin C, while rest of them had low concentration. Similar trends were observed for light brown and yellowish-brown genotypes (Tables 2 and 3). These results are in concurrence with the observations of Mlcek et al [30] who observed a weak association of vitamin C content with bulb color. This suggests that improving vitamin C content in onion bulb could be done by recurrent selection by focusing on suitable combination of color and vitamin C content. The greater genetic variance and high heritability further supports the proposed strategy as environmental factors would have less impact over vitamin C Chattopadhyay et al. [31].

Flavonoids are very important from medicinal point of view due to their anti-hypertensive and anti-cholinesterase activity [32]. Currently, onion genotypes of different colors were characterized for total flavonoid (TF) content and variation was observed based on colors. The Purplish brown genotypes were found with highest concentration of total flavonoids, while intermediate concentration was observed in yellowish brown genotypes. The least concentration of total flavonoids was estimated in white colored genotypes. Our current findings agree with previous study which determines highest flavonoids concentration in red skin color as compared to yellow skinned genotypes. Further, they observed there is negligible quantity of TF in white genotypes [33, 34]. Our study indicated that variation among genotypes for TF content is due to genetic factors because greater genetic variance we observed as compared to environmental variance. However, several studies conducted to understand the impact of environment over flavonoid content demonstrated that despite of being genetically controlled trait, environment influences the quality and quantity of TF in onion [34, 35]. Further, non-additive type of gene action was observed for TF content in current study. Thus, results of current and previous observations suggested that appropriate selection of parents (preferably dark colored), having good specific combination, could be helpful for improvement of TF content. A delayed selection would be more fruitful.

Total phenolic content (TP) is considered as medicinally important and its high concentration gives high nutraceutical value to onions. We observed TP content in a collection of onion genotypes and found that highest TP concentration purplish brown and yellowish brown genotypes. The genotypes of rest of the colored groups had low TP content, while white onion had lowest TP content. Previously, Gökçe et al., [36] also reported highest TP content in yellow onions. Moreover, it is obvious from previous findings that phenolic contents are responsible of brownish shade in fruits. Moreover, variation in TP content was due to genetic potential as it is indicated higher genotypic variance as compared to environmental variance. Contrary to our results MPO fu et al., [37] observed significant impact of both genetic and environmental variance over TP content in hard spring wheat. Further, they suggested that genetic variance for TP content indicated that selection would be possible for these in quantitative breeding programs but significant environmental variance may be delayed or complicated this process. Anntonen et al. [38] also found significant effect of genotypic and environmental variance over TP content in Raspberry plant. Our study observed that TP content are controlled by dominant type of gene action as SCA effect is significant. Kaushik et al., [39] estimated additive type of gene action for TP content in eggplant. It is obvious from previous and current observation that TP content could be improved through an efficient selection.

Estimation of heterosis for nutraceutical components

The estimation of combining ability effect is of crucial importance to achieve desired crosses with high magnitude of heterosis. General and specific combining ability estimates were executed for nutraceutical components during current study. We have analyzed non-significant GCA effect for lines as well as for testers for all crosses indicating the significance of non-fixable type of gene action in the expression of all these traits. While this study reported significant SCA effect for all the crosses except of few denoting non-significant SCA effect showing that these combinations can be successfully utilized for obtaining frequency of desirable alleles. Patil and one of his colleagues [40] examined combining ability effect on yield and quality parameters including pyruvic acid content of white onion and their results were contrary to our current findings. Previously Abhishek et al., [41] reported combining ability effect for flavonoids and phenolics in cabbage and similar to our study they calculated significant SCA effect, but they also recorded significant GCA effect that is not in agreement with our observations.

Heterosis is thought to be a crucial factor to increase variability, heritability, and genetic diversity for various nutraceutical components. It enhances heterozygosity in a hybrid due to superior gene content contributed by both parents in a hybrid. The exploitation of heterosis introduced several ways to obtain good quality traits. The superior hybrids can be identified through nature and magnitude of heterosis. Currently, mid and heterobeltiosis (better parent) were measured for studied traits and heterobeltiosis was estimated lower than mid parent heterosis for pyruvic acid content. The reason for low heterobeltiosis was combination of average and good parent or may be due to poor and average parents. However, this indicates that combinations with maximum mid parent heterosis could be exploited for further improvement of pyruvic acid content. Rafiq et al., [42] observed mid parent heterosis percentage for pyruvic acid content that is contrary to our findings. Hybrids with mid and better parent heterosis were found with increased concentration of total flavonoid content. However, heterobeltiosis was found lower than mid parent heterosis this could be associated with combination of poor or average parent with best one. The selection of hybrids with maximum mid parent heterosis could be fruitful for future enhancement of total flavonoid content.

Genetic basis of flavonoids was not studied previously, however heterotic value for bioactive compounds including total flavonoids was found lower in onion by Faria et al., [43]. We observed positively significant average heterosis percentage and negatively significant heterobeltiosis for maximum number of cross combinations for total phenolic content. The negative heterobeltiosis may be due to poor GCA effect leading to the production of non-heterotic hybrid combinations. The positive better parent heterosis was recorded previously for various combinations in sesame (Sesamum indicum L.). It was observed that hybrids with significantly positive specific combining ability effect possess positive heterobeltiosis [44].

Conclusions

A collection of 39 indigenous and exotic onion genotypes was used during current study. These genotypes were screened for nutraceutical contents by using FTIR analysis, extracted and quantified with spectroscopic /colorimetric methods. The genotypes with highest potential for pyruvic acid include onion Swat, MKS8823GO and MKS777, while 171 and 28531 showed poor concentration of Pyruvic acid content. Likewise pyruvic acid content Onion Swat and MKS8823GO also identified best for vitamin C content. The genotypes best for total flavonoids and phenolics include Onion Swat, MKS636ZU, MKS8823GO, Phulkara and MKS-TPSWP respectively. It is recommended that for further improvement of nutraceutical components in onion breeding these genotypes should be part of any crossing plan.

Supporting information

S1 Fig. FTIR spectrum representing functional groups over different wave lengths.

(JPG)

Click here for additional data file. (42.5KB, jpg)
S2 Fig. Classification of onion genotypes into six groups based on skin color.

(JPG)

Click here for additional data file. (83.2KB, jpg)
S1 Table. List of onion genotypes.

(DOCX)

Click here for additional data file. (324.4KB, docx)
S1 Raw data. Supporting information.

(ZIP)

Click here for additional data file. (2MB, zip)

Acknowledgments

We are highly thankful to Dr. Shakeel Ahmad and Dr. Hidayatullah (NARC) for providing onion germplasm as well as necessary information regarding indigenous onion germplasm.

Data Availability

Supporting information - compressed file.

Funding Statement

RMR received funding in the form of a grant from the Higher Education Commision, Pakistan (Grant no.: 6137/Punjab/NRPU/R&D/HEC/2016). YL received funding in the form of a grant from the Yunnan Academy of Agricultural Sciences (Grant no.:213-66800-2Av2-067).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Fig. FTIR spectrum representing functional groups over different wave lengths.

(JPG)

Click here for additional data file. (42.5KB, jpg)
S2 Fig. Classification of onion genotypes into six groups based on skin color.

(JPG)

Click here for additional data file. (83.2KB, jpg)
S1 Table. List of onion genotypes.

(DOCX)

Click here for additional data file. (324.4KB, docx)
S1 Raw data. Supporting information.

(ZIP)

Click here for additional data file. (2MB, zip)

Data Availability Statement

Supporting information - compressed file.

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