Global population growth, loss of arable land, and shortened cultivation periods will exponentially increase the need for intensive farming methods and new crop varieties (Parant 1990; Roudier
To explain the heterosis effect in plants, the genetic loci responsible for this effect were hypothesized to combine and integrate different factors acquired from the respective parents (East 1936). Geneticists proposed three hypo-theses to explain the heterosis effect i.e., the dominance, overdominance, and epistasis hypotheses (Fu
Besides the genetic effects associated with heterosis, the interactions between nuclear genes and cytoplasmic factors such as mitochondrial and chloroplast genes may also be responsible for heterosis effects. Cytoplasmic inheritance to hybrid progeny through mitochondrial DNA is influ-enced by the female parent, regardless of the genetic rel-ationship between the parent plants (Henry
In
Here, we analyzed the basal heterotic effects of the F1 hybrids by reciprocal crossing of Micro-Tom and M82 for a better understanding of heterosis using Micro-Tom mutant resources. We predicted that the regulatory effect of dwarfing and flowering-related mutations would increase the productivity of reciprocal F1 hybrids without cyto-plasmic effects. Moreover, we propose that if a positive aspect of Micro-Tom mutant-derived heterosis can be pro-duced in hybrids with M82, plant breeders and researchers may benefit from exploring the genetic materials of Micro-Tom to produce improved field tomato plants.
Micro-Tom mutants induced by ethyl methanesul-fonate and gamma ray irradiation were obtained from TOMATOMA (NBRP tomato: http://tomato.nbrp.jp/ indexEn.html). Mutants were grown and characterized regarding quantifiable and observable phenotype traits such as yield, plant weight, flowering time, and vegetative and/or reproductive differences from Micro-Tom. We defined Micro-Tom mutants in a previous study (Rajendran
Crossing was started two weeks after transplantation. A representative healthy plant was selected and was used as the maternal and paternal source. Healthy unopened flowers with yellow petals were selected for maternal material. Sharp sterile tweezers and a spatula were used for crossing. Flowers were labeled using hanging tags and were observed continuously for confirmation. Successful crosses were harvested when they reached maturity.
Seeds were extracted by splitting the fruits, and extracted seeds were treated with 1.2% Rapidase® (DSM Food Specialties, Netherlands) for 2 hours. The seeds were then washed and drained three times using running water. After this, the seeds were treated with 20% bleach for 10 minutes, followed by five washes under running water and draining. The seeds were then air-dried for two days at room temperature.
Yield trials were conducted as previously described (Park
Flowering time, shoot determinacy, and axillary shoot numbers of mature plants were recorded 60 days after transplanting to the field or to pots. Flowering time was determined according to leaf production on the primary shoot before flowering. Shoot determinacy was identified according to termination of the apical meristem on the main shoot. The main shoots consisted of primary shoots and successive sympodial shoots that grew out before shoot termination. Representative images were captured using a digital camera (Canon EOS 80D, Canon Inc., Japan).
Harvesting was executed when the fruits of the control hybrid plants (Micro-Tom/M82) showed over 70% ripening (red fruits). Plant weight and fruit yield were recorded after the plants and fruits were manually removed from the soil and from the plants, respectively. The average fruit weight and total soluble sugar content (in Brix) in fruit juice was estimated using ten randomly selected fruits. All fruits, including red and green fruits, were weighed to assess total fruit yield. Ten red fruits were randomly selected to estimate average fruit weight. The Brix value (%) was quantified using a digital Brix refractometer (ATAGO Palette, Japan).
Quantitative data were statistically analyzed using the JMP 14.3.0 software package (SAS Institute, Cary, NC, USA). Mean values were compared using Student’s
Micro-Tom is a compact plant that can be grown on limited space, and numerous plants can be grown in pot media without any significant effects on maximum per-formance. The compact habit and narrow areal growth facilitated dense growth under greenhouse conditions (Fig. 1A-C). Due to the mutation affecting flowering time, Micro-Tom produced five to six leaves through primary shoot meristem (PSM) before flowering (Martí
To examine the degree of heterotic effects between hybrids of M82 and Micro-Tom, we hybridized wild types of both cultivars and also performed reciprocal crosses by exchanging maternal and paternal parents, as previously described (Muhammad and Yabuno, 1975), to identify any non-nuclear gene influences in F1 progeny (here termed “Micro-Tom/M82” and “M82/Micro-Tom”). We first examined growth habits such as flowering time in the reciprocal hybrids by counting leaves produced in primary shoots and successive sympodial shoots. The seedlings of F1 hybrids showed intermediate flowering time and leaf production, compared to the phenotypes of both parents, which indicated additive effects on flowering time and vegetative growth, relative to Micro-Tom and M82 (Fig. 2A, B).
To determine whether the additive growth habits would correspond to hybrid vigor effects in both hybrids, the reciprocal hybrids and parent cultivars were grown under greenhouse and field conditions with a controlled irrigation system to quantify yield-related traits such as plant weight, total yield, and fruit weight (Fig. 3). First, we quantified the vegetative weights of mature plants, i.e., leaves, stems, and inflorescences produced by the main shoot and axillary branches. Both F1 hybrids showed plant weights intermediate between M82 and Micro-Tom (Fig. 3A). The fruit weight was lower in hybrids than in M82 but higher than in Micro-Tom, again indicating an additive effect in reciprocal hybrids (Fig. 3B, Table 1). However, fruit number was significantly higher in hybrids than in both M82 and Micro-Tom, showing an overdominance effect (Fig. 3C, D, Table 1). Even though the plant weight of hybrids was significantly lower than that of M82, the yield of hybrids was similar to that of M82. Both reciprocal hybrids produced yields similar to that of M82, indicating the dominance of M82 regarding yield traits (Fig. 3D, E, Table 1). To estimate heterosis effects, we calculated mid-parent heterosis (MPH) and best-parent heterosis (BPH) using the number and weight of fruits, and total yield of all genotypes. A similar increase in MPH was observed regarding fruit number and weight, as well as total yield, between the reciprocal hybrids. Only BPH was highly positive regarding the fruit numbers of both hybrids (Table 1). Brix values of both hybrids were lower than those of the parents, indicating an underdominance effect (Fig. 3F, Table 1). However, the reduction in the Brix value was relatively low.
Table 1 . Yield-related traits, mid-parent heterosis (MPH), and best-parent heterosis (BPH) of wild-type parents and their reciprocal hybrids from two consecutive years.
Traitz) | 2018 (1st year) | 2019 (2nd year) | ||||||
---|---|---|---|---|---|---|---|---|
Genotype | Mean ± SD (n)y) | MPH | BPH | Mean ± SD (n)y) | MPH | BPH | ||
Flowering time | Micro-Tom | 5.50 ± 0.67c (12) | - | - | 5.67 ± 0.19c (12) | - | - | |
Micro-Tom × M82 | 7.22 ± 0.67b (9) | ‒2% | ‒21% | 7.40 ± 0.30b (5) | ‒5% | ‒25% | ||
M82 × Micro-Tom | 7.50 ± 0.55b (6) | 2% | ‒18% | 7.25 ± 0.24b (8) | ‒6% | ‒26% | ||
M82 | 9.20 ± 0.84a (5) | - | - | 9.83 ± 0.27a (6) | - | - | ||
Plant weight | Micro-Tom | 0.03 ± 0.01c (12) | - | - | 0.04 ± 0.01c (12) | - | - | |
Micro-Tom × M82 | 0.76 ± 0.36b (9) | 13% | ‒42% | 0.58 ± 0.09b (5) | 10% | ‒43% | ||
M82 × Micro-Tom | 1.04 ± 0.36ab (6) | 55% | ‒21% | 0.80 ± 0.07ab (8) | 53% | ‒21% | ||
M82 | 1.32 ± 0.57a (5) | - | - | 1.00 ± 0.08a (6) | - | - | ||
Fruit weight | Micro-Tom | 47.06 ± 8.60c (12) | - | - | n.a. | n.a. | n.a. | |
Micro-Tom × M82 | 187.68 ± 59.51b (9) | ‒10% | ‒49% | n.a. | n.a. | n.a. | ||
M82 × Micro-Tom | 213.45 ± 66.35b (6) | 2% | ‒42% | n.a. | n.a. | n.a. | ||
M82 | 369.58 ± 91.64a (5) | - | - | n.a. | n.a. | n.a. | ||
Fruit number | Micro-Tom | 33.33 ± 16.06b (12) | - | - | n.a. | n.a. | n.a. | |
Micro-Tom × M82 | 241.44 ± 76.24a (9) | 217% | 103% | n.a. | n.a. | n.a. | ||
M82 × Micro-Tom | 258.17 ± 98.87a (6) | 239% | 117% | n.a. | n.a. | n.a. | ||
M82 | 118.80 ± 41.20b (5) | - | - | n.a. | n.a. | n.a. | ||
Total yield | Micro-Tom | 0.14 ± 0.05b (12) | - | - | 0.12 ± 0.03c (12) | - | - | |
Micro-Tom × M82 | 4.66 ± 2.28a (9) | 106% | 6% | 2.92 ± 0.41b (5) | 40% | ‒28% | ||
M82 × Micro-Tom | 5.76 ± 3.16a (6) | 154% | 31% | 4.36 ± 0.32a (8) | 109% | 7% | ||
M82 | 4.39 ± 1.98a (5) | - | - | 4.06 ± 0.37b (6) | - | - | ||
Brix | Micro-Tom | 4.42 ± 0.40a (12) | - | - | n.a. | n.a. | n.a. | |
Micro-Tom × M82 | 4.53 ± 0.74a (9) | ‒4% | ‒9% | n.a. | n.a. | n.a. | ||
M82 × Micro-Tom | 4.50 ± 0.67a (6) | ‒4% | ‒10% | n.a. | n.a. | n.a. | ||
M82 | 4.98 ± 0.44a (5) | - | - | n.a. | n.a. | n.a. |
Mean value (± s.d.m.) comparison was performed using Tukey’s HSD test, and statistically similar variables are grouped as indicated by the same letter (
z)Yield and yield related major traits measured.
y)Values are represented by mean value of the group ± standard deviation represented by “SE” and number of samples in parenthesis represented by “n”. Means were compared using Tukey’s HSD test, and statistically similar variables are grouped by the same letter (
To examine whether progressive heterosis could be achieved by hybridization with Micro-Tom mutant sources, we first selected
The hybrids of three
Table 2). This suggested that there were no heterotic effects from the four mutants in the hybrids. The reciprocal hybrids consistently showed similar values (Table 2). However, the hybrids of
Table 2 . Yield-related traits, mid-parent heterosis (MPH), and best-parent heterosis (BPH) of reciprocal hybrids of Micro-Tom mutants and M82 from two consecutive years.
Traitz) | 2018 (1st year) | 2019 (2nd year) | ||||||
---|---|---|---|---|---|---|---|---|
Genotype | Mean ± SD (n)y) | MPH | BPH | Genotype | Mean ± SD (n)y) | MPH | BPH | |
Plant weight | 0.95 ± 0.86ab (4) | 11% | ‒55% | 0.54 ± 0.31c (8) | ‒19% | ‒59% | ||
M82 × | 1.03 ± 0.63ab (4) | ‒4% | ‒52% | M82 × | 0.56 ± 0.24c (12) | ‒17% | ‒58% | |
0.55 ± 0.25b (5) | ‒48% | ‒74% | 1.25 ± 0.17ab (3) | 86% | ‒5% | |||
M82 × | 0.46 ± 0.20b (8) | ‒57% | ‒78% | M82 × | 0.62 ± 0.40bc (4) | ‒8% | ‒53% | |
1.35 ± 0.75a (5) | 27% | ‒36% | - | - | - | - | ||
M82 × | 1.38 ± 0.63a (7) | 29% | ‒35% | - | - | - | - | |
Total yield | 5.72 ± 3.27ab (4) | 96% | 0% | 3.41 ± 1.51b (8) | 50% | ‒22% | ||
M82 × | 3.20 ± 1.26b (4) | 10% | ‒44% | M82 × | 3.62 ± 1.38b (12) | 60% | ‒18% | |
2.56 ± 0.72b (5) | ‒12% | ‒55% | 7.51 ± 1.22a (3) | 231% | 71% | |||
M82 × | 3.58 ± 1.10b (5) | 23% | ‒38% | M82 × | 5.24 ± 0.74ab (4) | 131% | 19% | |
7.30 ± 3.66a (5) | 151% | 27% | - | - | - | - | ||
M82 × | 7.01 ± 2.63a (7) | 141% | 22% | - | - | - | - | |
Fruit number | 255.75 ± 177.28ab (4) | 179% | 34% | 190.13 ± 54.60b (8) | 150% | 60% | ||
M82 × | 270.50 ± 195.15ab (4) | 195% | 39% | M82 × | 194.42 ± 67.79b (12) | 156% | 64% | |
123.20 ± 42.04ab (5) | 34% | ‒12% | 343.00 ± 95.45a (3) | 351% | 189% | |||
M82 × | 188.00 ± 82.99ab (5) | 105% | 10% | M82 × | 291.50 ± 42.35a (12) | 283% | 145% | |
389.00 ± 296.82a (5) | 324% | 79% | - | - | - | - | ||
M82 × | 371.00 ± 86.65a (7) | 305% | 73% | - | - | - | - | |
10 fruit weight | 178.88 ± 38.77a (4) | 10% | ‒39% | 176.78 ± 47.54b (8) | ‒15% | ‒52% | ||
M82 × | 202.64 ± 56.55a (4) | 25% | ‒31% | M82 × | 186.44 ± 35.61b (12) | ‒11% | ‒50% | |
162.18 ± 25.36a (5) | 0% | ‒45% | 231.77 ± 74.45b (3) | 11% | ‒37% | |||
M82 × | 147.61 ± 28.71a (5) | ‒9% | ‒50% | M82 × | 181.22 ± 28.29b (12) | ‒13% | ‒51% | |
171.64 ± 28.68a (5) | 6% | ‒41% | - | - | - | - | ||
M82 × | 184.44 ± 32.04a (7) | 14% | ‒37% | - | - | - | - | |
Brix | 4.58 ± 0.29a (4) | ‒21% | ‒28% | 4.51 ± 0.77a (12) | ‒4% | ‒9% | ||
M82 × | 4.08 ± 0.45a (4) | ‒29% | ‒36% | M82 × | 4.19 ± 0.38a (12) | ‒11% | ‒16% | |
4.78 ± 0.45a (5) | ‒17% | ‒25% | 4.10 ± 0.70a (3) | ‒13% | ‒18% | |||
M82 × | 4.74 ± 0.40a (5) | ‒18% | ‒26% | M82 × | 4.20 ± 0.44a (12) | ‒11% | ‒16% | |
4.80 ± 0.73a (5) | ‒17% | ‒25% | - | - | - | - | ||
M82 × | 4.27 ± 0.32a (7) | ‒26% | ‒33% | - | - | - | - |
Mean value (± s.d.m.) comparison was executed using Tukey’s HSD test, and statistically similar variables are grouped as indicated by the same letter (
z)Yield and yield related major traits measured.
y)Values are represented by mean value of the group ± standard deviation represented by “SE” and number of samples in parenthesis represented by “n”. Means were compared using Tukey’s HSD test, and statistically similar variables are grouped by the same letter (
The commercial tomato cultivar M82 passed its performance characteristics on to its hybrids with Micro-Tom, resulting in additive effects on flowering time and plant weight, dominance of total yield, and overdominance of fruit number (Fig. 2, 3A, C, E). Flower-ing time of the F1 hybrids followed an additive genetic pattern, showing an intermediate flowering time which may be regulated by a dosage effect of the florigen activation complex (Eshed, 2014). It is also possible that the inherited plant size in F1 hybrids may have been a combined additive effect of
Fruit yield is affected by the equilibrium between vegetative and reproductive growth, as determined by the flowering time of shoots (Park
The
Lewis (1955) examined the effect of reciprocal crossing of the wild tomato
The results of the current study suggest that Micro-Tom plants have cytoplasmic genomes that are compatible with those of cultivar M82, thus even sustaining plant growth and reproductive harvest in reciprocal cytoplasm siblings, and that the current cultivars such as M82 and Micro-Tom retain the genetic scope that can be further optimized for productivity to a larger extent. We can also use this basic understanding to apply heterosis effects by exploring more novel alleles to increase field tomato productivity using Micro-Tom. Moreover, Micro-Tom mutants as genetic resources can be easily studied by crossing with cultivar M82, so as to enhance heterosis effects, and they can be cloned with respect to where mutations are located in the genome. Further, we suggest that Micro-Tom mutants could also be used to lead to progressive heterosis in other elite tomato cultivars.
The authors have no conflicts of interest to declare.
We thank members of the Park’s laboratory for discussions. We also thank A. Cho, Y. Chae, and Y.S. La for technical assistance, and S.G. Oh staff for the plant care. This research was supported by the “BioGreen21 Agri-Tech Innovation Program” (grant no. PJ015799), funded by Rural Development Administration to S.J.P. and was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.1711128306) to Y. K. L.
S.R., Y.K.L. and S.J.P. designed the research and performed the experiments, contributed to the phenotyping and the tomato yield trial. J.H.B., M.W.P. and W.W.J were performed the field managing and systemic controls for tomato growth. S.R., Y.K.L. and S.J.P. wrote the manuscript with editing contributed from all authors.
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