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Article
Open Access

Increase in Iron and Zinc Concentrations in Rice Grains Via the Introduction of Barley Genes Involved in Phytosiderophore Synthesis

  • Hiroshi Masuda1,
  • Motofumi Suzuki1,
  • Kendi Claudio Morikawa2,
  • Takanori Kobayashi1,
  • Hiromi Nakanishi3,
  • Michiko Takahashi1,
  • Masahiko Saigusa2,
  • Satoshi Mori3 and
  • Naoko K. Nishizawa1Email author
Rice20081:9007

https://doi.org/10.1007/s12284-008-9007-6

©  The Author(s) 2008

Received: 29 February 2008

Accepted: 3 July 2008

Published: 15 August 2008

Abstract

Increasing the iron (Fe) and zinc (Zn) concentrations of staple foods, such as rice, could solve Fe and Zn deficiencies, which are two of the most serious nutritional problems affecting humans. Mugineic acid family phytosiderophores (MAs) play a very important role in the uptake of Fe from the soil and Fe transport within the plant in graminaceous plants. To explore the possibility of MAs increasing the Fe concentration in grains, we cultivated three transgenic rice lines possessing barley genome fragments containing genes for MAs synthesis (i.e., HvNAS1, HvNAS1, and HvNAAT-A and HvNAAT-B or IDS3) in a paddy field with Andosol soils. Polished rice seeds with IDS3 inserts had up to 1.40 and 1.35 times higher Fe and Zn concentrations, respectively, compared to non-transgenic rice seeds. Enhanced MAs production due to the introduced barley genes is suggested to be effective for increasing Fe and Zn concentrations in rice grains.

Keywords

BiofortificationIron deficiencyMugineic acid family phytosiderophoresTransgenic riceZinc deficiency

Introduction

Iron (Fe) and zinc (Zn) are essential micronutrients in plants and animals. Fe deficiency is one of the most prevalent micronutrient deficiencies in the world, affecting an estimated two billion people [19] and contributing to 0.8 million deaths per year worldwide [28]. Zn deficiency is a serious nutritional problem, affecting an estimated one third of the world’s population [18] and contributing to 0.8 million deaths per year. Fe and Zn deficiencies are the sixth and fifth highest health risk factors, respectively, in developing countries, and they have high mortality rates [28].

There are three main ways to solve micronutrient deficiencies: micronutrient supplementation, food fortification, and biofortification. Among these options, biofortification (i.e., the breeding of micronutrient-fortified crops) has great advantages because specific processing after harvest and special infrastructure are not required [13]. Therefore, this solution is suitable to all situations, especially for people who live in rural areas. In particular, using the transgenic approaches, it is possible to produce micronutrient-fortified rice varieties.

Fe fortification using a transgenic approach has been attempted using ferritin, a protein that stores approximately 4,500 Fe atoms in a complex. Goto et al. [5] generated transgenic rice plants that expressed soybean ferritin (SoyferH1) in the endosperm using the endosperm-specific glutelin gene (GluB1) promoter of rice; the transformants accumulated up to three times as much Fe in brown seeds. Furthermore, Qu et al. [17] generated rice transformants that expressed ferritin at different levels in seeds; the Fe concentration in brown seeds did not correspond with the enhanced ferritin expression level. Thus, the enhancement of ferritin expression may not be sufficient to further increase the Fe concentration in rice grains. Qu et al. [17] proposed that the enhancement of Fe uptake from the soil and translocation inside the plant, in addition to Fe storage in seeds, is important for further Fe fortification in seeds.

Graminaceous plants secrete mugineic acid family phytosiderophores (MAs) into the rhizosphere for Fe uptake from soil [14, 23]. MAs form Fe(III)-MAs complexes that are absorbed into the root via YS1 transporters [4]. Among the graminaceous plants, barley is highly tolerant to Fe deficiency and possesses a series of MAs biosynthetic genes, including NAS, NAAT, DMAS, IDS2, and IDS3 ([2, 6, 11, 16, 25]; Fig. 1). In contrast, rice lacks the two dioxygenase genes (IDS2 and IDS3) and secretes only 2′-deoxymugineic acid (DMA; [16]). This is thought to be one reason why barley has a higher tolerance to Fe-deficiency than rice [11]. The expression of MAs biosynthetic genes such as barley HvNAS1, HvNAAT-A, HvNAAT-B, HvDMAS1, IDS2, and IDS3, is up-regulated in Fe-deficient barley roots [2, 6, 16, 25].
Figure 1
Fig. 1

The biosynthetic pathway of mugineic acid family phytosiderophores (MAs) in graminaceous plants. SAM S-Adenosyl-methionine, NA nicotianamine, DMA 2′-deoxymugineic acid, MA mugineic acid, HMA 3-hydroxymugineic acid, epiHDMA 3-epihydroxy-2′-deoxymugineic acid, epiHMA 3-epihydroxymugineic acid, SAMS S-adenosyl-methionine synthetase, NAS nicotianamine synthase, NAAT nicotianamine aminotransferase, DMAS 2′-deoxymugineic acid synthase, IDS2 dioxygenase catalyzing the hydroxylation of three positions of DMA and MA, IDS3 dioxygenase catalyzing the hydroxylation of 2′-positions of DMA and epiHDMA

Higuchi et al. [8] produced transgenic rice lines that contained the barley HvNAS1 gene. These rice lines expressed HvNAS1 not only in Fe-deficient roots and leaves but also in roots with sufficient Fe. Takahashi et al. [24] introduced a barley genome fragment containing HvNAAT-A and HvNAAT-B into rice. The transformants exhibited increased Fe-deficiency tolerance and grew well in alkaline soil. Kobayashi et al. [11] introduced the barley IDS3 genome fragment into rice; the transformants secreted mugineic acid, a hydroxylated form of DMA (Fig. 1). Because these transformants contained introduced barley genome fragments, the expression of the genes encoding MAs synthesis was regulated by their own promoters, and the expression of the introduced genes was induced in Fe-deficient roots and leaves [8, 11, 24]. Thus, these genes are expected to be expressed when and where the Fe requirement is elevated. This hypothesis suggests the possibility of enhancing Fe uptake and translocation for Fe fortification in the seed by introducing barley HvNAS1, HvNAAT-A, HvNAAT-B, and IDS3 into the rice genome.

Transgenic lines evaluated under greenhouse condition need to be evaluated under field condition. Therefore, we cultivated transgenic rice lines containing the introduced HvNAS1 (gNAS1), HvNAS1, and HvNAAT-A and HvNAAT-B (gNAS1 + gNAAT), or IDS3 (gIDS3) genes (Fig. 2) in a field with Andosol soils, which are highly porous, dark-colored soils developed from parent material of volcanic origin and one of the typical soil groups in Japan. The Fe and Zn concentrations in seeds were higher in gIDS3 than in the other transgenic and non-transgenic lines. These results suggest that the enhanced expression of MAs biosynthetic genes produces rice seeds with higher Fe and Zn content.
Figure 2
Fig. 2

T-DNA regions of the constructs introduced into three transgenic rice lines. a gNAS1: transgenic rice line with a barley 13.0-kb HvNAS1 genome fragment [8]. b gNAS1 + gNAAT: transgenic rice line with barley 7.6-kb HvNAS1 and 11.0-kb HvNAAT-A and HvNAAT-B genome fragments. c gIDS3: transgenic rice line with a barley 20-kb IDS3 genome fragment [11]. RB Right border, LB left border, NP nopaline synthase promoter, NPT II neomycin phosphotransferase gene, tNOS nopaline synthase terminator, 35P cauliflower mosaic virus 35S promoter, iGUS β-glucuronidase gene with an intron, HPT hygromycin phosphotransferase gene

Results

Plant growth and grain yield

Three transgenic (gNAS1, gNAS1 + gNAAT, and gIDS3) and one non-transgenic (NT) rice lines were used (Fig. 2). Each line was planted in four replications in an experimental field with Andosol soils (Fig. 3). During all growth stages, there were only slight differences between the NT, gNAS1, gNAS1 + gNAAT, and gIDS3 plants in height, leaf color, and number of tillers (data not shown). At the heading stage on 97 days after transplanting (DAT), there were no significant differences in these indices between NT plants and transgenic rice plants (Fig. 4). There were no significant differences between the NT and transgenic lines in grain yield (Fig. 5a), the number of harvested seeds (Fig. 5b), or the number of ears per hill and length of ears (data not shown).
Figure 3
Fig. 3

Experimental design in the paddy field. a Replication placement in the paddy field. NT Non-transgenic plants, gNAS1 gNAS1 plants, gNAS1 + gNAAT gNAS1 + gNAAT plants, gIDS3 gIDS3 plants. NT plants were also planted in the gray area to maintain uniform light and nutrient conditions. b Design of the hill settings in each replication. Each replication consisted of eight (120 cm) × four (120 cm) hills. The inner six hills, shown in black, were used for detailed analyses

Figure 4
Fig. 4

Pictures of transgenic and non-transgenic plants in the experimental field with Andosol soils. Experimental design is illustrated in Fig. 3, photographed from west direction. WT Non-transgenic, 1 gNAS1 line, 3 gIDS3 line, 4 gNAS1-gNAAT line. a 2 days after transplanting (DAT), b 59 DAT and c 158 DAT (harvested day)

Figure 5
Fig. 5

Yields of the non-transgenic (NT), gNAS1, gNAS1 + gNAAT, and gIDS3 lines. a Weight of harvested seeds (kg/1,000 m2). b Number of harvested seeds (million seeds/1,000 m2). The weight and number of seeds were measured for the inner six hills of each replication. The data represent the mean ± standard error of four replications for each line. Seed weights were recalculated as containing 15% water. Different letters above the bars indicate significant differences

Metal concentrations in brown and polished rice grains

The average Fe concentration in brown rice grains from the NT, gNAS1, gNAS1 + gNAAT, and gIDS3 plants was 6.50, 5.98, 7.03, and 8.10 μg g−1, respectively (Fig. 6a). The average Zn concentration in brown rice grains from the NT, gNAS1, gNAS1 + gNAAT, and gIDS3 plants was 15.0, 15.2, 16.1, and 19.4 μg g−1, respectively (Fig. 6b). In brown rice grains from gIDS3 plants, the Fe and Zn concentrations were 1.25 and 1.30 times those from NT plants, respectively. There were no significant differences between the transgenic and NT plants in the copper (Cu) concentration in the grains (Fig. 6d). There was no significant difference between NT and gNAS1 + gNAAT or gIDS3 plants in manganese (Mn) concentration in the grains (Fig. 6c). In gNAS1 plants, the Mn concentration in the grains was somewhat lower than that in NT plants.
Figure 6
Fig. 6

Metal concentration of brown rice. Fe (a), Zn (b), Mn (c), and Cu (d) concentrations of brown seeds. The data represent the mean ± standard error of four replications for each line. Different letters above the bars indicate significant differences

In polished rice grains, the average Fe concentration of NT, gNAS1, gNAS1 + gNAAT, and gIDS3 plants was 1.06, 1.11, 1.19, and 1.49 μg g−1, respectively (Fig. 7a). The average Zn concentration of NT, gNAS1, gNAS1 + gNAAT, and gIDS3 polished grains was 10.6, 11.3, 11.9, and 14.3 μg g−1, respectively (Fig. 7b). In polished rice grains from gIDS3 plants, the Fe and Zn concentrations were 1.40 and 1.35 times those from NT plants, respectively (Fig. 7a,b). There were no significant differences between NT and transgenic lines in Cu concentration (Fig. 7d). There was no significant difference between NT and gNAS1 + gNAAT or gIDS3 lines in Mn concentration (Fig. 7c). In seeds from gNAS1 plants, the Mn concentration was somewhat lower than that of NT plants.
Figure 7
Fig. 7

Metal concentration of polished rice. Fe (a), Zn (b), Mn (c), and Cu (d) concentrations of polished seeds. The data represent the mean ± standard error of four replications for each line. Different letters above the bars indicate significant differences

Metal concentrations of aboveground parts (leaves and stems)

To determine whether the Fe and Zn concentrations of leaves and stems was also increased, we measured the metal concentrations of aboveground structures other than the ears (i.e., leaves and stems) at harvest (Fig. 8). The average Fe concentration in the leaves and stems of NT, gNAS1, gNAS1 + gNAAT, and gIDS3 plants was 119, 121, 145, and 109 μg g−1, respectively (Fig. 8a). The average Zn concentration in the leaves and stems of NT, gNAS1, gNAS1 + gNAAT, and gIDS3 plants was 24.6, 32.3, 30.7, and 22.0 μg g−1, respectively (Fig. 8b). There were no significant differences between NT and transgenic plants in Fe or Zn concentration or in the Mn and Cu concentrations in leaves and stems.
Figure 8
Fig. 8

Metal concentration of aboveground plant parts (leaves and stems). Fe (a), Zn (b), Mn (c), and Cu (d) concentrations of rice leaves and stems after harvest. The data represent the mean ± standard error of four replications for each line. Different letters above the bars indicate significant differences

The distribution of Fe and Zn among the plant parts was measured at harvest in NT plants (Fig. 9). Fe was predominantly distributed in leaves and stems, with much less accumulation in ears and grains (Fig. 9a). The Zn in rice grains was relatively high compared to Fe, but Zn also accumulated more in leaves and stems than in ears and grains (Fig. 9b).
Figure 9
Fig. 9

Total metal content in each part of non-transgenic (NT) plants. Total Fe (a) and total Zn (b) in each part of NT plants per hill (three plants)

Discussion

In our field trial on Andosol soils, the gIDS3 line accumulated more Fe and Zn in both brown and polished rice grains than did the NT (Figs. 6, 7). In a previous year, trial (2005), we obtained similar results in which the Fe and Zn concentrations in brown rice grains from the gIDS3 line of a previous generation were 1.21 and 1.08 times higher than those from NT grains, when they were cultivated in the same paddy field (data not shown). The Fe and Zn concentrations in brown rice grains from the gIDS3 line were 1.26 and 1.37 times higher than those from NT grains, when they were cultivated in the Fe-limited paddy field with calcareous soils [20]. These results also confirm that IDS3 gene would have consistent performance to increase the content of Fe and Zn in rice grains.

There are many derivatives of MAs, which serve as chelators of Fe and other metals (Fig. 1). Rice produces only DMA because it lacks two dioxygenase genes IDS2 and IDS3 [16]. The gIDS3 line, which had an introduced barley IDS3 gene (Fig. 2), produced both DMA and MA under both Fe-deficient and Fe-sufficient conditions [11]. The MA produced by IDS3 probably enhanced Fe uptake from the soil and Fe translocation via the xylem via the following mechanisms. The histochemical localization of IDS3 promoter activity in rice indicates that IDS3 is expressed in restricted parts of the exodermis and vascular bundles of roots under Fe-sufficient conditions. Particularly strong expression can be detected within the pericycle cells that are adjacent to the protoxylem [12]. Thus, MA produced in the root exodermis of gIDS3 plants might be secreted into the soil and enhance Fe uptake. The MA produced in pericycle cells might then enhance Fe transport from roots to shoots via the xylem. However, IDS3 expression is not observed in Fe-sufficient leaves [12].

von Wirén et al. [27] proposed that the hydroxylation of the phytosiderophore skeleton enhances the stability of MAs-Fe(III) complexes, particularly under mildly acidic conditions (pH 5.0–6.5). The Andosol in which we cultivated the rice was approximately pH 6.0. Additionally, the rice xylem sap is pH 6.5 [15]. Thus, MA-Fe(III) complexes might be more stable than DMA-Fe(III) complexes in the Andosol soils and in rice xylem sap and would be more efficient for Fe uptake from the soil and transport within the plant. Additionally, the plasma membrane is locally acidified, and MA-Fe(III) is more stable than DMA-Fe(III) when transported through a plasma membrane [27]; thus, MA-Fe(III) might be more easily transported by a membrane transporter.

Under Fe-sufficient conditions, rice genes involved in MAs biosynthesis, including OsNAS1, OsNAS2, OsNAAT1, and OsDMAS1, are expressed in the portions of roots that are involved in long-distance transport [2, 9, 10]. Thus, DMA might help to transport Fe over long distances in Fe-sufficient conditions. 52Fe-DMA applied to the roots of non-transgenic rice in the maturing stage is transported simultaneously to the ear and to the flag leaf within 4 h [26]. MA would also contribute to long-distance Fe transport in Fe-sufficient conditions, like DMA, because of its greater stability in xylem sup. Thus, transgenic lines possessing IDS3 might have enhanced Fe uptake from the soil and enhanced long-distance Fe transport via the xylem because of the production of MA. With regard to translocation via phloem, rice phloem sap is pH 7.8–8.0. At this pH, MA-Fe(II) complexes might be more stable than DMA-Fe(III) or MA-Fe(III) complexes [27].

Interestingly, the Zn concentration was also higher in gIDS3 seeds than in the seeds of NT and other transgenic lines. DMA is involved in the long-distance transport of Zn in Zn-deficient barley and rice [21, 22]. In addition, the structure of the MAs-Zn(II) complex is very similar to that of MAs-Fe(III) [27]. Although little is known about the possible effect of DMA hydroxylation on Zn transport, MA might have enhanced Zn transport into seeds in the gIDS3 line.

The Fe and Zn concentrations in leaves and stems at harvest were not increased by the introduction of IDS3 (Fig. 8a, b). Total Fe and total Zn in leaves and stems were much higher than those in grains (Fig. 9a, b). Thus, the effect of gIDS3 on Fe and Zn concentrations appears to be manifested in grains (Figs. 6 and 7) but not in leaves and stems (Fig. 8).

The Fe and Zn concentrations of grains did not significantly increase in the gNAS1 or gNAS1 + gNAAT line compared to the NT line. The transgenic rice that possesses HvNAS1 genome fragment produced more nicotianamine (NA) and DMA in Fe-sufficient condition [7]. The activity of NAAT in the transgenic rice containing HvNAAT-A and HvNAAT-B genome fragment was higher than that of wild type in Fe-sufficient condition [24]. Therefore, gNAS1 or gNAS1 + gNAAT line would produce more NA and DMA than NT line, though they would not produce MA because of the lack of IDS3. On the other hand, gIDS3 line produced MA in Fe-sufficient condition [11]. The ability to produce MA might be the key to increasing Fe and Zn concentrations in seeds. The introduction of HvNAS1, HvNAAT-A and HvNAAT-B, and IDS3 into rice in combination will enhance the Fe and Zn concentrations of the grains.

Recently, Cheng et al. [3] reported that OsNAAT1 knockout mutant rice accumulated more Fe in grains than WT. However, this result is not due to suppression of OsNAAT1 gene itself but is thought to be due to the response of induced Fe deficiency by OsNAAT1 suppression. In their report, OsNAAT1 knockout mutant exhibited a kind of Fe deficiency symptoms and increased expression of various genes in relation to Fe absorption or accumulation such as OsNAS1, OsIRT1, or OsYSL2. Expression of these genes might enhance Fe concentration in the grains. NA content in shoots and roots of OsNAAT1 knockout mutant was greatly increased than in WT. This higher NA content might also enhance Fe concentration in the grains, since NA serves as a general metal chelator within plants.

Previously, the main way to improve the Fe concentration of rice grains was to increase the expression of ferritin using endosperm-specific promoters [13]. We have demonstrated that the use of genes for MAs synthesis will further improve the Fe concentration of rice seeds. The Mn and Cu concentrations in gIDS3 grains were not increased. Because high Mn and Cu concentrations in grains are undesirable for biofortified crops, this phenotype will be very useful for mineral biofortification.

Another benefit of transgenic rice lines with enhanced MAs synthesis is that they will exhibit Fe-deficiency tolerance when grown in alkaline soils, leading to increased mineral concentrations in seeds. The gIDS3 lines that were cultivated in the paddy fields of calcareous soils showed Fe-deficiency tolerance [20]. Thus, our strategy provides an efficient method for the mineral biofortification of rice using a transgenic approach.

Methods

Plant materials

Japonica rice (Oryza sativa L.) cultivar Tsukinohikari was used as the NT control and for transformation. The transgenic rice line gNAS1 (Fig. 2a) possesses a 13.0-kb HvNAS1 barley genome fragment and originated from line 24 of Higuchi et al. [8]. The transgenic rice line gIDS3 (Fig. 2c) possesses a 20-kb IDS3 barley genome fragment and originated from line 1 of Kobayashi et al. [11].

To produce the transgenic rice line gNAS1 + gNAAT (Fig. 2b), a 7.6-kb barley HvNAS1 genome fragment [8] was excised using HindIII and inserted into the HindIII site of the vector pBIGRZ [1]. Then, an 11.0-kb HvNAAT-A and HvNAAT-B genome fragment [25] was excised using NotI and inserted into the NotI site of pBIGRZ-NAS. The resultant vector was introduced into rice cultivar Tsukinohikari following the methods of Higuchi et al. [8].

Genomic insertion was confirmed using a polymerase chain reaction-based method and Southern blots. Gene expression was also confirmed using Northern blots under Fe-deficient conditions [8, 11] (data not shown).

Seedling preparation

The seeds of the three transgenic rice lines were harvested in an environmentally isolated paddy field that had Andosol soils at Tohoku University, Japan, in 2005. The seeds were sown on nursery beds for the experiment. The seeds were size-selected by soaking in NaCl solution. The specific gravity of the NaCl solution was 1.13 g/cm3 for the selection of NT, gNAS1, and gNAS1 + gNAAT seeds. Because there were not enough seeds from the gIDS3 line, gIDS3 seeds were selected using 1.06 g/cm3 NaCl solution. After size selection, the seeds were soaked overnight in fungicide solution (Momi-guard, Hokuko, Japan) and then soaked in water at 20°C for 6 days to break dormancy. The seeds were then incubated in water at 30°C overnight to accelerate germination. The seeds were sown in nursery bed soil by 3 April 2006. Previously germinated seeds were sown on brown soil (pH 5.5; Inaho Kumiai Muhiryou Baido, Agricultural Corporation, Japan) in small pots (3 ml) and then covered with the same soil. Three seeds were sown per pot, covered with soil, and grown for 45 days in a greenhouse at the environmentally isolated field.

Experimental design and transplantation

The paddy field was established at the Field Science Center of Tohoku University, Miyagi, Japan (39°N; 141°E). A 6.6 × 6.9 m paddy field was used for the experiment (Figs. 3a and 4). The soil type was Andosol with approximate pH of 6.0.

Seedlings were transplanted into the paddy field on 18 May 2006. A commercial fertilizer (Toruzou-kun; NPK = 14:20:14; Zennou, Japan) was applied at transplanting at 60 kg N ha−1. Each hill consisted of three plants. Column width of hill to hill was 30 and 15 cm (Fig. 3b). Each replication comprised eight (120 cm) × four (120 cm) hills (Fig. 3b). Each line was planted in four replications in the experimental area (Fig. 3a). To adjust the light and nutrient conditions between center and border replications of experimental area, NT plants were grown around the experimental area (Fig. 3a, gray zone). The paddy field was submerged in water until it was drained on 9 October 2006.

Measurement of plant growth and yield

The height of plants, number of tillers, and leaf color (SPAD value; Konika Minolta, Japan) of the largest leaves were measured for all plants in the inner six hills of each replication (Fig. 3b, black hills) on 3 June (16 DAT), 17 June (30 DAT), 29 June (42 DAT), 12 July (55 DAT), 26 July (69 DAT), and 27 August (101 DAT). Plants headed at around 23 August (97 DAT). The plants were harvested on 23 October (158 DAT). After harvest, the total number of seeds and grain weight for the inner six hills from each replication were measured to determine the grain yield.

Metal concentration analyses

Brown rice grains (specific gravity > 1.06 g/cm3) were collected randomly from all plants from the inner six hills of each replication (Fig. 3b, black hills) for metal concentration analyses. Ten seeds were digested with 1 ml of 13 M HNO3 and 1 ml of 8.8 M H2O2 (Wako, Japan) at 200°C for 20 min using MARS Xpress (CEM, USA); seeds were digested in six replicate subsamples from each replication. After digestion, the samples were collected and diluted to 5 ml and analyzed using a SPS1200VR ICP-AES (Seiko, Japan).

To obtain polished seeds, 60 brown seeds were placed into a 2-ml tube and shaken at 2,500 rpm for 150 s, at least four times, using a Multi-beads Shocker (Yasui Kikai, Japan). Approximately 25 well-polished seeds from each replication were digested and their metal concentration measured.

The aboveground parts other than ears (i.e., leaves and stems) were harvested. The plant materials were ground using a crushing machine (Fujiwara Seisakusho, Japan). Approximately 250–300 mg of the ground powder was digested and the metal concentration was measured.

Approximately 200 mg each of rachis and hulls were collected from each replication of NT plants, digested, and the metal concentration was measured. The total metal concentration of each plant part (i.e., leaves and stems, rachis, hulls, brown rice, and polished rice) was calculated.

Statistics

Data were compared using analysis of variance or a Student–Newman–Keuls test; P < 0.05 was considered statistically significant.

Notes

Declarations

Acknowledgments

We thank R. Yamamoto, Dr. S. Nagasaka, Dr. Y. Ishimaru, Dr. T. Nozoye, Y. Ogo, Y. Kakei, I. Ogawa, K. Usuda, R. N. Itai, S. Hugo, Dr. K. Bashir, Dr. T. Tsukamoto, and T. Aoyama for their technical assistance during the field trial. We received permission of field research using transgenic rice varieties from Ministry of Agriculture, Foresty and Fisheries of Japan and State Minister for the Environment of Japan on 25 April 2005.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors’ Affiliations

(1)
Department of Global Agricultural Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
(2)
Field Science Center, Tohoku University, Yomogida, Japan
(3)
Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan

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