Summary
The widespread application of isoproturon (IPU) can cause serious pollution to the environment and threaten ecological functions. In this study, the IPU bacterial N‐demethylase gene pdmAB was transferred and expressed in the chloroplast of soybean (Glycine max L. ‘Zhonghuang13’). The transgenic soybeans exhibited significant tolerance to IPU and demethylated IPU to a less phytotoxic metabolite 3‐(4‐isopropylphenyl)‐1‐methylurea (MDIPU) in vivo. The transgenic soybeans removed 98% and 84% IPU from water and soil within 5 and 14 days, respectively, while accumulating less IPU in plant tissues compared with the wild‐type (WT). Under IPU stress, transgenic soybeans showed a higher symbiotic nitrogen fixation performance (with higher total nodule biomass and nitrogenase activity) and a more stable rhizosphere bacterial community than the WT. This study developed a transgenic (TS) soybean capable of efficiently removing IPU from its growing environment and recovering a high‐symbiotic nitrogen fixation capacity under IPU stress, and provides new insights into the interactions between rhizosphere microorganisms and TS legumes under herbicide stress.
Keywords: phytoremediation, isoproturon, transgenic soybean, symbiotic nitrogen fixation, rhizosphere bacterial community
The developed transgenic (TS) soybean was capable of efficiently removing IPU from its growing environment and recovering symbiotic nitrogen fixation capacity under IPU stress. TS soybeans had a more stable rhizosphere bacterial community.

Introduction
Herbicides are widely used in agricultural management for weed control. However, apart from benefits to crop productivity, the unscientific and excessive use of herbicide has led to serious environmental pollutions (Aktar et al., 2009; Sabzevari and Hofman, 2022). Isoproturon [3‐(4‐isopropylphenyl)‐1,1‐dimethylurea] (IPU) belongs to the phenylurea herbicide family (PHs) and is widely used for pre‐ and post‐emergence control of annual grasses and broadleaved weeds (Fenner et al., 2013). Due to its environmental persistence and relatively high solubility in water (70 mg/L, 20 °C), IPU residues have been globally detected in various environments at concentrations often beyond the permissible limits (0.1 μg/L) (Fenner et al., 2013; Wang et al., 2021b). Meanwhile, IPU residues are easily absorbed by crop plants, resulting in food chain pollution and directly threatening human health (EFSA, 2015; Spirhanzlova et al., 2019). Reports have indicated that IPU affects human peripheral lymphocytes and induces the disruption of thyroid gland or thyroid hormone systems (Chauhan et al., 2007; EFSA, 2015). With IPU being listed as a deadly human carcinogen (Directive, 2000) and prohibited by European Union in 2016 (2016/872 2016), the removal of IPU from contaminated ecosystems has attracted great attention.
Many strategies for elimination of IPU contamination have been proposed, such as physic‐chemical treatments (Jehova Gonzalez et al., 2022) and bioremediation using a single strain or microbial consortia (Cheng et al., 2022; Li et al., 2017; Xu et al., 2019). Phytoremediation, the use of autotrophic plants as cleaners has gained increasing attention and acceptance in recent years. To date, several transgenic (TS) plants have been constructed to clean up IPU contamination. For instance, the ginseng‐derived CYP736A12 (Khanom et al., 2019) and the mammalian CYP1A2 (Azab et al., 2020) have been successfully overexpressed in Arabidopsis thaliana for enhanced tolerance or phytoremediation of IPU. In our previous study, a Rieske non‐heme iron oxygenase PdmAB, which is responsible for the initial N‐demethylation of many phenylurea herbicides, including IPU, was characterized in Sphingobium sp. strain YBL2 (Gu et al., 2013; Yan et al., 2016). Furthermore, a TS Arabidopsis thaliana expressing pdmAB genes in the chloroplast was also successfully developed and it could efficiently demethylate IPU to MDIPU [3‐(4‐isopropylphenyl)‐1‐methylurea] and DDIPU [1‐(4‐isopropylphenyl) urea] (Yan et al., 2018). However, Arabidopsis has very little biomass, making its actual application unrealistic. Selection of appropriate plants is crucial for successful phytoremediation (Kawahigashi, 2009). Soybean (Glycine max) may be a better candidate plant to express pdmAB for IPU phytoremediation because genetically modified soybeans resistant to various herbicides have been successfully planted in many countries.
Soybean (Glycine max) plays a critical role in the global nitrogen cycle by forming symbioses with N2‐fixing bacteria in root nodules, fixing a global 25.0 Tg nitrogen in 2018 (Herridge et al., 2022). However, the intensive use and accumulation of toxic herbicides may have a negative effect on legume symbiosis. It has been reported that thirty different herbicides and environmental pollutants interfered with plant–Rhizobium signalling, delayed nodulation, and reduced biological nitrogen fixation in vitro (Fox et al., 2007). Thiram and P‐Pickel T were also reported to have negative effects on rhizobial survival and nodulation in pea (Rathjen et al., 2020). However, less is known about the potential effects of IPU on symbiotic N2 fixation.
The influence of growing genetically modified plants on soil microbial ecosystem is of great concern (Arpaia et al., 2020). An increasing researches have shown that plant–microbiome interactions play key roles in many aspects of host function and health, including nutrient acquisition (Wang et al., 2021a), abiotic stress tolerance (Li et al., 2021; Zhong et al., 2022) and disease suppression (Deng et al., 2022; Wang et al., 2022). Although IPU was not found to significantly modify soil bacterial diversity or composition in a lab‐to‐field experiment (Storck et al., 2018), it is necessary to consider the effects of IPU‐resistant TS crops on the rhizosphere bacterial community, especially under the stress of IPU.
In this study, we aimed to (i) transfer the bacterial N‐demethylase into soybean for phytoremediation of IPU‐contaminated sites; (ii) assess the impact of the transferred gene and IPU stress on the nodulation ability and nitrogenase activity of soybean and (iii) investigate the effects of TS soybeans on the composition and diversity of the rhizosphere bacterial community under IPU stress.
Results
Construction of transgenic soybean‐expressing bacterial N‐demethylase
Since plant chloroplasts can provide reducing powers (e.g., NADPH) for the oxygenase component PdmAB, the chloroplast transit peptide‐coding sequence (AtCTP) was added to the 5′ ends of the synthesized pdmA and pdmB genes based on the codon bias of soybean (Glycine max L. Zhonghuang13) (Figure 1a). After optimization, the G + C content of pdmA (1380 bp) gene sequence decreased from 55% to 52% and pdmB (531 bp) gene sequence decreased from 57% to 52%. The pdmAB expression cassettes were transferred into the soybean genome by Agrobacterium tumefaciens LBA4404 (pDBN10939) (Figure 1b). The preferred glufosinate‐resistant calli were transferred for regeneration on B5 medium containing 6 mg/L glufosinate to further screen and develop plantlets (Figure 1c), which were later transferred to soil (Figure 1d). Fifteen glufosinate‐resistant lines were obtained and confirmed to harbour the pdmAB genes using a PCR assay. After two rounds of selfing, three TS soybean lines (T3‐55, T3‐90, T3‐140) were confirmed to be homozygous and selected for further study.
Figure 1.

Construction and confirmation of transgenic soybean expressing bacterial N‐demethylase pdmAB. (a) T‐DNA region of the binary vector plasmid pDBN10939. pdmA and pdmB, the N‐demethylase genes from Sphingobium sp. strain YBL2; prAtUbi10, Arabidopsis polyubiquitin 10 gene promoter; AtCTP, Arabidopsis chloroplast transit peptide; Nos, nopaline synthase terminator; eFMV, the enhancer of the figwort mosaic virus 35S gene; prBrCBP, Brassica CBP1 promoter; rbc, Rubisco small subunit; pat, the phosphinothricin (glufosinate) N‐acetyltransferase gene; 35S, CaMV35S; LB, left border; RB, right border. (b) Embryogenic calli of soybean co‐cultured with Agrobacterium harbouring pDBN10939 on callus induction medium. (c) Glufosinate‐resistant calli on regeneration medium with glufosinate. (d) Transgenic plants in soil. (e) Transcriptions of pdmA and pdmB genes in transgenic soybean tissues (root, stem and leaf) by RT–qPCR analysis. Values are the average of three independent experiments, and error bars are the standard errors. (f) Western blot analysis on leaves of soybean lines expressing PdmA and PdmB protein. The experiment was repeated at least three times with similar results. Bands relative values were determined by ImageJ software. The relative protein level at each line was normalized to the Ponceau S‐stained Rubisco large subunit (Rubisco L), and the value of T3‐55 was set as standard 1. (g) Comparisons of the N‐demethylase activity between wild‐type (WT) soybean and transgenic (TS) soybean (T3‐90) by HPLC analysis. The reaction buffer (2 mL) containing 50 mM Tris–HCl buffer (pH 7.0) was supplemented with 3 mg of crude proteins extracted from leaves and 5 mg/L of IPU, and was incubated at 28°C for 1 h before HPLC analysis. Standard isoproturon (IPU), 3‐(4‐isopropylphenyl)‐1‐methylurea (MDIPU) and 1‐(4‐isopropylphenyl) urea (DDIPU) were used as the control.
The real‐time RT–qPCR assay showed that bacterial N‐demethylase pdmAB was expressed in the TS soybean lines (T3‐55, T3‐90 and T3‐140), while not observed in non‐TS soybeans (Figure 1e). Relatively higher transcription levels of pdmA and pdmB genes were detected in soybean leaves than in stems and roots. The TS soybean line T3‐90 showed higher transcriptional levels of the pdmA and pdmB genes than T3‐140 and T3‐55.
Western blot analysis of the TS soybean lines, shown in Figure 1f, revealed the presence of a single 51‐kDa band following immunoblot analysis using the PdmA antibody, corresponding in size to the PdmA protein. In addition, a single 28‐kDa band was also detected by immunoblot analysis using the PdmB antibody, corresponding in size to the AtCTP‐PdmB protein. Bands were not seen on blots with protein of wild‐type (WT) soybean leaves probed using antibody. The Western blot analysis results (Figure 1f) reliably matched the results of quantitative RT–PCR (with only a twofold difference in transcript and protein expression levels), showing line T3‐90 producing the highest levels of PdmA and PdmB protein.
The crude proteins extracted from the TS lines showed significant enzymatic activity in transforming IPU to MDIPU and even DDIPU (Figure 1g). Among the 3 TS soybean lines, the TS T3‐90 line showed the highest enzymatic activity and produced 1.13 μg MDIPU and 1.05 μg DDIPU per milligram of crude protein (extracted from leaves) per hour. In contrast, neither MDIPU nor DDIPU was detected in the WT plants. These results showed that the bacterial N‐demethylase pdmAB was assembled correctly in plant leaves and exhibited significant enzymatic activity toward IPU. Because the TS T3‐90 line had the highest N‐demethylase activity, it was selected for further phytoremediation studies.
Resistance to IPU by transgenic soybeans
No significant differences between the growth of TS and WT soybeans were observed in the absence of IPU. However, TS soybeans showed more resistance to 5 mg/L of IPU than WT soybeans (Figure 2). Although the root length was not significantly different (Figure 2e), the aerial part weight, roots fresh weight and stem length of the TS lines were 1.4‐, 2.8‐ and 1.3‐times that of the WT soybeans,respectively (Figure 2a–d), after exposure to 5 mg/L of IPU for 14 days. Furthermore, the TS lines were more resistant to chlorophyll degradation and photosynthesis inactivation under IPU stress than the WT soybeans (Figure 2f). The mean chlorophyll in the WT soybeans decreased by about 29% when exposed to IPU, while in TS lines, only 3%–13% was decreased (Figure 2g). The ratio of variable fluorescence to maximum chlorophyll fluorescence (Fv/Fm) in TS plants (0.75–0.81) was also significantly higher than that in WT soybeans (0.68) (Figure 2h). After sprayed 5 mg/L of IPU for 90 days (Figure 2i), the plant height (Figure 2j) and seed weight (Figure 2k) per plant of WT soybeans were significantly lower than that of TS plants. All these results showed that the expression of the bacterial N‐demethylase PdmAB in the chloroplast significantly improved the IPU tolerance of soybean.
Figure 2.

Isoproturon (IPU) resistance of transgenic soybeans (T3‐55, T3‐90, T3‐140). (a) Growth status of transgenic and wild‐type soybeans (WT) exposed to 0 and 5 mg/L IPU for 14 days. The aerial part weight (b), root weight (c), stem length (d) and root length (e) of transgenic T3‐90 line and WT seedings exposed to 0 (control) and 5 mg/L of IPU for 14 days. (f) Growth status of 30‐day‐old transgenic and wild‐type soybeans 7 days after 0 (control) and 5 mg/L IPU application. Average chlorophyll content (g) and fluorescence parameter (h) of 30‐day‐old transgenic and wild‐type soybeans after 0 (control) and 5 mg/L IPU application. (i) Performance of transgenic and WT soybeans sprayed with 5 mg/L of IPU for 90 days. The plant height (j) and seed weight (k) per plant of transgenic and wild‐type soybeans after spray with 0 (control) or 5 mg/L of IPU. Data are the means of three independent experiments, and the error bars are the standard errors. Lowercase letters above the bars indicate significant differences (P < 0.05, Tukey's test). FW, fresh weight.
Removal of IPU from water and soil by transgenic soybeans
The IPU concentration in the water decreased from 5 to 0.03 mg/L when cultivated with TS soybeans for 5 days, while 2.51 mg/L of IPU remained when cultivated with WT soybeans (Figure 3b). On the 5th day, the IPU concentration in WT soybeans was significantly higher than that in TS lines (Figure 3d). The IPU concentrations in the leaves, stems and roots of WT soybeans were 1.59 to 6.33 μg/g dry weight, while no IPU was detected in any tissues of TS soybeans. Meanwhile, the demethylated metabolite of IPU, MDIPU, was detected in the water cultivated with TS lines instead of WT soybeans (Figure 3c), showing that the TS lines took in IPU through their roots, transformed IPU to MDIPU (most possibly in chloroplasts), and then released MDIPU through roots into water. This can be further confirmed by the fact that no IPU degrading activity was detected by the rhizosphere exudates of soybean (Figure S2).
Figure 3.

Isoproturon (IPU) removal from water by transgenic soybeans (T3‐55, T3‐90, T3‐140). (a) Growth status of the 14‐day‐old transgenic line T3‐90 and WT soybeans after exposure to 5 mg/L of IPU for 5 days. Concentrations of IPU (b) and the demethylated metabolite 3‐(4‐isopropylphenyl)‐1‐methylurea (MDIPU) (c) extracted from water. CK: IPU added to water without any plants. (d) Concentrations of IPU in different tissues (root, stem and leaf) of the transgenic line T3‐90 and WT soybeans at 120 h. Values are the average of three independent experiments (3 seedlings per treatment), and error bars are the standard errors. Lowercase letters above the bars indicate significant differences (P < 0.05, Tukey's test). DW, dry weight.
Similar results were observed in soil contaminated with 5 mg/kg of IPU. About 1.51–1.71 mg/kg of IPU remained in the soil after 14 days when planted with WT soybeans, while only 0.75–0.84 of mg/kg IPU was detected when planted with TS lines (Figure 4b). Although WT soybeans partially removed IPU from contaminated soil, they assimilated and accumulated IPU in plant tissues, especially in the leaves (Figure 4d), resulting in the inhibition of photosynthesis and even cell death (Figure 4a). The TS lines could efficiently demethylate IPU to MDIPU for detoxification (Figure 4c) and grow well (Figure 4a), releasing more metabolite MDIPU to the soil compared to WT soybeans. These results further confirmed that the TS soybeans developed had good potential for the phytoremediation of IPU‐contaminated sites.
Figure 4.

Isoproturon (IPU) removal from soil by transgenic soybeans (T3‐90). (a) Growth status of 21‐day‐old transgenic and wild‐type (WT) soybeans after exposure to 5 mg/kg of IPU for 14 days. Concentrations of IPU (b) and the demethylated metabolite 3‐(4‐isopropylphenyl)‐1‐methylurea (MDIPU) (c) extracted from soil. CK: IPU added to soil without any plants. (d) Concentrations of IPU in soybean tissues (root, stem, and leaf) on the 14th day. Values are the average of three independent replicates (one seedling per treatment), and error bars are the standard errors. Lowercase letters above the bars indicate significant differences (P < 0.05, Tukey's test). DW, dry weight.
Recovery of symbiotic nitrogen fixation function by transgenic soybeans under IPU stress
No significant differences in the nodulation and nitrogenase activity between the TS and non‐TS soybeans were observed at 28 days in the absence of IPU. Although there were no significant differences in the number of root nodules (Figure 5a,b) or nitrogenase activity per gram of nodule (dry weight) (Figure 5d) between the TS lines and WT soybeans in the presence of 2 mg/kg of IPU, the nodule (dry weight) per plant and total nitrogenase activity per plant of TS lines were about 3.4‐fold and 3.6‐fold that of WT soybeans, respectively (Figure 5c,e). These results may be explained by the fact that IPU showed toxicity to soybean plants and/or N2‐fixing bacteria (Bradyrhizobium japonicum, Figure S3), while the decrease in nodule number in TS soybeans was compensated for by an increase in the dry weight per nodule and the total nodule biomass per plant, resulting in a higher total nitrogenase activity per TS plant. These data showed that TS soybeans recovered biological nitrogen fixation under IPU stress.
Figure 5.

Transgenic soybeans (T3‐90) showed better nitrogen fixation performance under isoproturon (IPU) stress compared with the WT soybeans. (a) Growth status and root nodules of transgenic and WT soybeans exposed to 2 mg/kg IPU for 28 days. The number of root nodules (b), the dry weight of root nodules (c), nitrogen fixation activities of root nodules (d) and the total nitrogen fixation activities of root nodules (e) of transgenic line T3‐90 and WT soybeans under IPU stress. Data are the means of three independent experiments, and error bars are the standard errors. Lowercase letters above the bars indicate significant differences (P < 0.05, Tukey's test). Control, no IPU; DW, dry weight.
Stable rhizosphere bacterial community of transgenic soybeans under IPU stress
To characterize TS soybean and IPU‐induced variations in the rhizosphere bacterial community, 16S rRNA amplicon libraries were built and then Illumina sequenced. A total of 2 796 120 high‐quality sequences were obtained from 72 samples and clustered into 10 217 ASVs. Analysis of the valid ASVs showed that the differences in rhizosphere bacteria were significant and detectable at the phylum level between IPU treatments and the control (Figure 6a and Figure S4). The measurement of alpha diversity revealed that the diversities of rhizosphere bacterial communities of both TS and WT soybeans were slightly lower (not significant) in the presence of IPU compared to that in the absence of IPU (control) (Figure 6b and Figure S5), and no significant differences were found between WT and TS soybeans in the absence of IPU (WT_Control and TS_Control) at all three time points (P > 0.05). The measurement of beta diversity and PERMANOVA analysis based on the Bray–Curtis distances showed that the composition of rhizosphere bacteria significantly differed in WT soybeans and TS soybeans at all three time points in the presence of IPU (Figure 6c and Table 1). The composition of rhizosphere bacteria of WT soybeans was significantly affected by IPU at all three time points (P < 0.05), while only the composition of rhizosphere bacteria of TS soybeans at the first time point (P = 0.006) was significantly affected. These results imply that the rhizosphere bacterial community of TS soybeans was more stable than that of WT soybeans under IPU stress.
Figure 6.

A more stable rhizosphere bacterial community of transgenic soybeans under isoproturon (IPU) stress compared to wild‐type soybeans. (a) Phylum‐level distributions of the rhizosphere bacteria of wild‐type (WT) and transgenic T3‐90 line (TS) in the absence of IPU (control) and presence of IPU (IPU) at 21, 42 and 63 days after transplantation. (b) Shannon index of the rhizosphere bacteria of WT and TS soybeans in the absence of IPU (control) and the presence of IPU (IPU) conditions at the three time points. Statistical analyses were performed by a paired Wilcoxon rank‐sum test, and significance is denoted by asterisks, where ns indicates P > 0.05. (c) Constrained principal coordinate analyses (PCoA) with the Bray–Curtis distance showing the distinction of the rhizosphere bacteria of WT and TS soybeans in the absence (control) and presence of IPU (IPU). Ellipses covered 67% of the data for each treatment.
Table 1.
Effect of transgenic soybean or isoproturon (IPU) residue variation on the rhizosphere bacterial community composition.
| Pairs | 21 days | 42 days | 63 days | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS | F. Model | R2 † | P. value ‡ | SS | F. Model | R2 | P. value | SS | F. Model | R2 | P. value | |
| TS_Control vs TS_IPU | 0.545 | 4.398 | 0.306 | 0.006 | 0.085 | 1.311 | 0.116 | 0.176 | 0.068 | 1.174 | 0.105 | 0.266 |
| WT_Control vs WT_IPU | 0.664 | 5.109 | 0.338 | 0.009 | 0.150 | 2.675 | 0.211 | 0.007 | 0.129 | 1.721 | 0.147 | 0.038 |
| TS_IPU vs WT_IPU | 0.276 | 2.052 | 0.114 | 0.01 | 0.188 | 3.031 | 0.159 | 0.001 | 0.150 | 2.278 | 0.125 | 0.004 |
| TS_Control vs WT_Control | 0.188 | 1.943 | 0.327 | 0.100 | 0.097 | 1.799 | 0.310 | 0.100 | 0.055 | 0.788 | 0.165 | 1.000 |
SS, sums of squares.
Variation was based on Bray‐Curtis distances.
P value based on PERMANOVA (999 permutations).
Bold values are significant difference between the two compared items (P < 0.05).
To investigate why rhizosphere bacterial community of the TS soybeans was more stable under IPU stress than that of WT soybeans, the co‐occurrence networks were further analysed (Figure 7 and Table 2). The network characteristics varied for each group, while higher proportions of negative edges and modularity in the TS_IPU groups (proportions of negative edges/modularity: 33.75%/1.771, 43.05%/5.783 and 37.89%/4.529) were observed in the co‐occurrence networks compared to that of the WT_IPU groups (proportions of negative edges/modularity: 14.13%/1.029, 40.00%/4.801 and 22.02%/1.059) at all three time points (Table 2).
Figure 7.

Co‐occurrence network analysis of the rhizosphere bacterial communities of TS and WT soybeans under isoproturon (IPU) stress at ASV taxonomy level.
Table 2.
Topological features of the co‐occurrence networks of sample data.
| 21 days | 42 days | 63 days | |||||
|---|---|---|---|---|---|---|---|
| WT_IPU | TS_IPU | WT_IPU | TS_IPU | WT_IPU | TS_IPU | ||
| Nodes | 77 | 75 | 87 | 95 | 99 | 91 | |
| Edges | 92 | 80 | 100 | 223 | 109 | 95 | |
| Modules | 1.029 | 1.771 | 4.801 | 5.783 | 1.059 | 4.529 | |
| Average degree | 2.390 | 2.139 | 2.299 | 4.695 | 2.202 | 2.088 | |
| Proportion of negative edges | 14.13% | 33.75% | 40.00% | 43.05% | 22.02% | 37.89% | |
| Clustering coefficient | 0.277 | 0.160 | 0.279 | 0.417 | 0.139 | 0.179 | |
| Centralization closeness | 0.443 | 0.580 | 0.460 | 0.477 | 0.521 | 0.549 | |
| Centralization betweenness | 0.059 | 0.145 | 0.123 | 0.070 | 0.151 | 0.167 | |
Discussion
The widespread of IPU in agricultural and non‐agricultural areas causes serious environmental problems, which is not consistent with cleaner and sustainable production. Compared to traditional remediation strategies, phytoremediation is minimally disruptive, low maintenance and cost‐effective (Cary et al., 2021). In this article, we successfully introduced the bacterial pdmAB genes for N‐demethylation of IPU into soybean (Glycine max L. Zhonghuang13). The data of RT–qPCR and Western blot analysis showed that TS soybeans efficiently expressed the pdmAB genes (Figure 1). In vitro test also showed that the crude proteins of TS soybean leaves catalysed the N‐demethylation of IPU. We demonstrated that transferring bacterial N‐demethylase into soybean enhanced the ability of soybeans to tolerate and degrade IPU, which provides a potential plant biotechnology for the phytoremediation of IPU‐contaminated soils.
Compared to our previously constructed TS Arabidopsis lines (Yan et al., 2018), TS soybean has some advantages. Soybeans have a larger biomass, including powerful roots, allowing them to uptake and metabolize more IPU from contaminated environments. In fact, each 14‐day‐old TS soybean could remove approximately 66.67 μg of IPU every day, while only about 7.50 μg of IPU was removed by a 25‐day‐old TS Arabidopsis under the same water condition (Yan et al., 2018). Furthermore, soybean, an economic crop, can fix nitrogen via symbiosis to reduce the need for synthetic fertilizers. IPU can exhibit toxicities to non‐target plants, such as preventing root and leaf growth, reducing chlorophyll content, and inhibiting photosynthetic efficiency (Yin et al., 2008; Zhai et al., 2022). In our study, TS soybeans expressing the bacterial N‐demethylase PdmAB showed improved IPU tolerance than non‐TS soybeans (Figure 2). They produced more biomass and had a higher chlorophyll content and Fv/Fm. This may be the result of low concentrations of IPU accumulated in plant tissues because PdmAB can demethylate IPU to the less toxic metabolite MDIPU (Figure S1). The target site of IPU is the D1 protein of chloroplasts (Baho et al., 2021), while the chloroplast transit peptide we added could help to transport the PdmAB into chloroplasts, where PdmAB could detoxify IPU more effectively. Chloroplasts, which are specialized organelle converting light energy to chemical energy and have their own expression system, provide an optimum platform for TS engineering in phytoremediation (Chu et al., 2020; Daniell et al., 2021; Ruiz et al., 2011).
Our TS soybeans recovered symbiotic N2‐fixation functions under IPU stress. Nodules are very sensitive to environmental changes, such as drought level, soil pH and toxic residues of herbicides (Goyal et al., 2021). In our study, IPU residues significantly decreased the nodule counts of soybeans (Figure 5b). One possible explanation is that the recruitment of rhizospheric bacteria to soybean roots was inhibited or delayed by IPU (Fox et al., 2007). In addition, IPU residues significantly decreased the nodule dry biomass of non‐TS soybeans much more than TS soybeans (Figure 5c). Under IPU stress, TS soybeans had a higher rate of photosynthesis, and more photosynthetic products for the energy need of nodules. Mutual benefits are the most basic needs in ecosystems (Daubech et al., 2017). In return, the nodules fixed more nitrogen to feed the growth of soybeans with the higher total nitrogenase activity per plant (Figure 5e), which may compensate for the reduction of nodule counts.
Our data showed that the transfer of pdmAB into soybeans did not significantly affect its rhizosphere bacterial composition in the absence of IPU,which is similar to that of the EPSPS/GAT dual TS glyphosate‐tolerant soybeans, as the composition of the rhizosphere microbial community is not affected by the gene transferred (Yang et al., 2021). Furthermore, IPU stress did not significantly affect the alpha diversity of the rhizosphere bacterial community. It was reported that soybean rhizosphere bacterial richness was not significantly affected by pesticide treatments (Nettles et al., 2016). However, unlike previous studies, the rhizosphere bacterial compositions of both WT and TS soybeans were significantly altered when challenged with IPU stress. While, the rhizosphere bacterial community of the TS soybeans were more resistant to IPU stress and its rhizosphere bacterial community structure could be more quickly recovered than that of WT soybeans. The reason may be that TS soybean detoxified IPU, so they grew very well and provided more root exudates to alter rhizosphere bacteria. As a result, the TS soybean rhizosphere bacteria co‐network was more stable, with a higher proportion of negative edges and modularity at all the three stages (Table 2) (Hernandez et al., 2021). However, how TS soybeans regulate rhizosphere bacteria communities under IPU stress still needs to be studied.
Conclusions
The present study showed that transferring the bacterial N‐demethylase into soybean could improve the ability of plants to tolerate and degrade IPU. We demonstrated that TS soybeans had no significant difference with WT soybeans in absent of IPU. However, under IPU stress, TS soybeans showed a higher symbiotic nitrogen fixation performance (with 3.4‐fold total nodule biomass and 3.6‐fold nitrogenase activity) and had stronger ability to maintain the stability of rhizosphere bacteria communities (with higher proportion of negative edges and modularity) than the WT soybeans. These findings provide a potential biosafe plant biotechnology for the phytoremediation of IPU‐contaminated sites.
Materials and methods
Materials
Isoproturon (IPU), 3‐(4‐isopropylphenyl)‐1‐methylurea (MDIPU), 1‐(4‐isopropylphenyl) urea (DDIPU) and glufosinate (all 99% purity) were purchased from J&K Scientific Co., Ltd. (Shanghai, China).
Surface soil (0–20 cm) was collected from an uncontaminated field at the Experimental Station of Nanjing Agricultural University, China (N 32°1′23″, E 118°51′5″), and sieved to 2 mm and stored at 4°C. The collected soil was classified as sandy clay (42.37% sand, 26.33% silt and 31.30% clay) according to the US textural classification triangle. It contained 5.4 g/kg of organic matter, 12.90 mg/kg of available N, 20.51 mg/kg of available P and 95.00 mg/kg of available K. The pH value of the soil was 7.39.
Construction of transgenic soybeans expressing bacterial PdmAB
Seeds of soybean (Glycine max L. Zhonghuang13) were from Beijing DaBeiNong Biotechnology Co., Ltd. (Beijing, China). Soybean seeds were first surface‐sterilized with 75% (v/v) ethanol for 1 min and 10% H2O2 solution for 15 min, rinsed 7–8 times and soaked overnight in sterile water at 4°C. Subsequently, they were germinated on half‐strength MS medium for 5 days in an illuminating incubator with a 14 h/10 h day/night photoperiod (light intensity 250 μmol/m2/s) and day/night temperature regime of 28°C/25°C.
The cassette introduced into soybean (Glycine max L. Zhonghuang13) was constructed according to our previous study (Yan et al., 2018) with minor modifications. The pdmA and pdmB genes were chemically synthesized according to the biased codon of soybean. The chloroplast transit peptide‐coding region (AtCTP) (Dellacioppa et al., 1986) was added before pdmA and pdmB to enable their efficient expression in chloroplasts (ferredoxins in chloroplasts can shuttle electrons to PdmAB). Then, the AtCTP‐pdmA and AtCTP‐pdmB expression cassettes were linked to the corresponding sites of vector pDBNBC‐03 (originated from pCAMBIA2301; Cambia) to form pDBN10939. The plasmid pDBN10939 was transferred into Agrobacterium tumefaciens LBA4404 (Invitrgen, Chicago, IL, USA) using liquid nitrogen method (Zambryski et al., 1982). Soybean were transfected using Agrobacterium‐mediated transformation (Paz et al., 2006). The TS soybean callus tissues were screened on B5 medium (Gamborg et al., 1968) containing 6 mg/L glufosinate, and the T0‐resistant seedlings were cultivated in a greenhouse. Finally, the TS soybean homozygous genotypes were obtained after two rounds of self‐fertilization.
Quantitative RT–PCR analyses
Total RNA of the soybean tissues (roots, stems and leaves) was extracted with RNAiso Plus (TaKaRa, Dalian, China) according to the manufacturer's instructions and treated with the RT reagent PrimeScript kit with genomic DNA (gDNA) Eraser (TaKaRa) to remove gDNA. The cDNA was synthesized using 5 μg of total RNA as a template with the Reverse Transcription System (TaKaRa) in a 20‐μL reaction volume. The 190‐bp fragment of the pdmA gene was amplified using primers: 5′‐TCAGAGATGAGCGGGTGTTT‐3′ and 5′‐CGATGCCTGCAGTGATTCAA −3′ and the 111‐bp fragment of the pdmB gene was amplified with primers: 5′‐GGTTGGTGGGTTCGGTTATG‐3′ and 5′‐GGACATCTCCTTGGCCGATA‐3′.
The RT–qPCR reaction was carried out in a QuantStudio™ 6 Flex RT–PCR System (Applied Biosystems, Waltham, MA, USA) with conditions of hold stage: 50°C for 2 min, 95°C for 10 min; PCR stage: 40 cycles of two steps (94°C for 15 s and 60°C for 34 s); and melt curve stage: 95°C for 15 s, 60°C for 1 min, 95°C for 15 s. Each reaction mixture (20 μL) consisted of 10 μL of SYBR Premix Ex Taq (TaKaRa), 0.5 μL of each primer (20 μm), 0.5 μL of DNA template and 8.5 μL of sterile ddH2O. Standard curves were established using a 10‐fold dilution series of linearized plasmid DNA containing the pdmA and pdmB genes. The amplification efficiencies of the standard curves were 100.08% and 98.32% with R 2 values of 0.9856 and 0.9996 for pdmA and pdmB, respectively. All the analyses were performed in triplicate and a no‐template control was used.
Immunoblot analyses
For protein expression analysis, 20 μg of crude protein extracted from soybean leaves was loaded per lane. Antibodies to the PdmA protein and PdmB protein were raised in rabbit (GenScript, Nanjing, China), and a goat, anti‐rabbit alkaline phosphatase conjugate was used as secondary antibody. Three replicate blots were made for each protein and band intensities were quantified from pixel measurements of western blot images using ImageJ software.
N‐demethylase activity assay
The N‐demethylase activity of PdmAB was determined by the capacity of producing MDIPU and/or DDIPU from IPU. The crude protein was extracted from 5 g of soybean leaves, which was ground immediately on ice and suspended in 20 mL of 50 mm Tris–HCl buffer (pH 7.0). About 3 mg of the crude protein was added to a reaction mixture containing 5 mg/L of IPU and 2 mL of 50 mm Tris–HCl buffer (pH 7.0). After one‐hour incubation at 28°C, the reaction buffer was extracted three times with dichloromethane (1:1, v/v) and dried in a fume hood. The dried residues were dissolved in 200 μL of acetonitrile and detected by high‐performance liquid chromatography (HPLC; UltiMate 3000 RSLC; Thermo) according to our previous study (Yan et al., 2018) under the following parameters: separation phase, C18 reversed column (Thermo, 250 mm × 4.6 mm i.d.); mobile phase, acetonitrile: water (50:50, v/v), flow rate, 1.0 mL/min and ultraviolet (UV) detection at a wavelength of 250 nm.
Plant resistance assay
To observe the growth of soybeans under IPU stress, germinated soybean seeds were transplanted in 250‐mL flasks containing 100 mL of half‐strength MS medium and 15 g/L agar with or without 5 mg/L of IPU. After 2 weeks, root fresh weight, aerial part weight, root length and stem length of the soybean plants were measured.
To determine chlorophyll content and fluorescence parameters, the seedlings of 30‐day‐old WT and TS soybeans, cultivated in a mixture of peat‐vermiculite (1:3, v/v), were sprayed with IPU (10 mL, 5 mg/L). After a week, the soybean leaves of the same part were selected to detect chlorophyll content and fluorescence parameters. The chlorophyll content was detected referring to the Lichtenthaler method (Lichtenthaler, 1987). The fluorescence parameters were detected using Handy PEA (Hansatech Instruments Ltd., Norfolk, UK) after 30 min in the dark (Sun et al., 2021).
Removal of IPU from water and soil
After surface sterilization and germination, the soybean seedlings were transferred to sterilized nutrient solution (1/4‐strength modified Hoagland's solution) (Zhang et al., 2016). After 2 weeks of cultivation, three uniform seedlings were transplanted to a 240‐mL bottle containing 120 mL of sterile nutrient solution and 5 mg/L of IPU. The bottles wrapped with a black cup to prevent the photolysis of IPU were placed in an illuminated incubator. Approximately 20 mL/day of sterile nutrient solution was added to compensate for transpiration losses and sampling. Controls (with IPU but without seedlings) were also set up simultaneously. Solutions (3 mL) were sampled at intervals of 0, 6, 12, 24, 48, 72, 96 and 120 h after transplanted. The samples were extracted three times with dichloromethane at a ratio of 1:1 (v/v). The soybean tissues (leaves, stems and roots) were sampled at 120 h according to our previous study (Yan et al., 2018). Concentrations of IPU and its metabolite MDIPU in solutions and soybean tissues were analysed by HPLC.
To evaluate the elimination of IPU from soil by TS soybeans, uniform soybean seedlings were transplanted to a mixture of peat‐vermiculite (1:3, v/v) for cultivation. After 21 days, each of the 18 soybean plants was transplanted to a 50‐mL centrifuge tube containing 30 g of soil mixed with 5 mg/kg of IPU. Sterilized water was added to maintain 30% water holding. The tube part was wrapped with silver paper to avoid IPU photolysis. At 0, 7 and 14 days, all the soil and the plant tissues in a tube were collected. Soil and plant tissues were extracted using acetonitrile containing 1% acetic acid with a ratio of 5:1 (v/w) for three times, respectively.
Nodulation assay and nitrogenase activity detection
The surface‐sterilized soybean seeds were grown in test tubes (30 × 200 mm) with sterilized vermiculite containing 0 or 2 mg/kg of IPU. Bradyrhizobium japonicum (isolated from soybean root nodules by our lab) was grown for 4 days at 28°C in tryptone yeast (TY) medium and diluted to OD600 of 0.8 (about 107 cells). Each soybean seed was inoculated with 1 mL of the diluted B. japonicum culture and grown for 4 weeks in the illuminating incubator, which was weekly supplied with sterilized nitrogen‐free Fahraeus nutrient solution (Fahraeus, 1957). Root nodules were harvested to count the number and measure the dry weight 28 days after inoculation. In the negative control (without inoculation of B. japonicum), no nodules were observed in soybean plants.
Nitrogenase activity was measured by the acetylene reduction assay (Si et al., 2020). Briefly, all nodules in a soybean plant were collected, placed into a sealed 20‐mL serum bottle and incubated with 10% acetylene at 28°C for 2 h. Gas (100 μL) was sampled and the ethylene and acetylene were measured by gas chromatography (Trace GC Ultra, Thermo) equipped with a flame ionization detector (FID) and a GS‐Alumina column (50 m × 0.53 mm) with helium as carrier gas. The oven temperature was held constantly at 50°C,and both injector and detector temperatures were set at 250°C.
Rhizosphere bacterial 16S rRNA gene sequencing and analysis
The collected soil was sieved to 2 mm and mixed with sterile vermiculite (20%, w/w) and different concentrations of IPU (final concentration of 0, 0.19, 0.95 or 1.9 mg/kg). The synthetic soil was filled into black pots (top diameter 95 mm, bottom diameter 63 mm, height 120 mm, 300 g dry soil per cup) (total 72 pots, 4 IPU concentration treatments × 2 soybean types × 3 sampling times × 3 replicates). Uniform 14‐day‐old WT or TS soybean seedlings were transplanted into these pots with one seedling per pot. To explore the general pattern of microbial distribution under IPU stress, the dimensionality reduction among similar treatments was used to evaluate the responsive characteristics and correlations of microbial communities (Huang et al., 2022). Four treatments were set up: WT soybeans without IPU (WT_Control, n = 3), WT soybeans with 0.19, 0.95 and 1.9 mg/kg of IPU (WT_IPU, n = 9), TS soybeans without IPU (TS_Control, n = 3), and TS soybeans with 0.19, 0.95 and 1.9 mg/kg of IPU (TS_IPU, n = 9). All pots were randomly placed in a growth chamber and maintained at 30% soil moisture via daily weighing and watering. At 21, 42 and 63 days after transplantation, rhizosphere soil samples were destructively collected as described by Xiao et al. (2017). Total DNA was extracted from each 0.5 g sampled soil using a Fast DNA SPIN Kit (MP Biomedicals, CA, USA) according to the manufacturer's instructions.
To amplify and sequence the V4 region of the 16S rRNA gene (bacteria), each of 72 soil DNA samples was amplified separately using bacterial primers 515 F (5′‐GTGCCAGCMGCCGCGGTAA‐3′) and 806 R (5′‐GGACTACHVGGGTWTCTAAT‐3′) (Niu et al., 2017). The amplicons were pooled in an equimolar concentration and paired‐end sequenced (2 × 300) on an Illumina MiSeq platform (Illumina, San Diego, CA, USA) according to standard protocols at Majorbio Bio‐Pharm Technology Co. Ltd (Shanghai, China). The bioinformatics data were analysed on the Majorbio Cloud Platform (www.majorbio.com).
Network analysis was performed to explore the microbial co‐occurrence patterns using the co‐occurrence network (CoNet) app in Cytoscape 3.5.1 (Shannon et al., 2003). Only ASVs with relative abundance higher than 0.1% and present in more than two samples were included in the analysis. Spearman's correlations at r > 0.85 and P < 0.01 were used for network construction. The networks were visualized using the interactive platform Gephi‐0.9.2. The topological analysis of microbial networks was performed using the Network Analyser Cytoscape plugin (Shannon et al., 2003). Network stability was measured by the proportion of negative or positive correlations and the modularity (Gao et al., 2021; Hernandez et al., 2021).
Statistical analysis
Data were analysed for statistical significance using ANOVA (SPSS 22.0),unless otherwise mentioned. When ANOVA gave a significant difference, Tukey's test was used to compare the results for each of the TS lines against parental or WT lines. All experiments were carried out in three replicates and any experimental error is reported.
Conflicts of interest
The authors declare no any conflict of interests.
Author contributions
Xiangkun Kong and Jiandong Jiang conceived and designed the research. Xiangkun Kong, Na Lv and Songmeng Liu performed the experiments and analysed the data. Hui Xu performed the experiment of Western blot and analysed the data. Xiangting Xie and Qing Tao assisted in experiments. Junwei Huang, Baozhan Wang and Rong Ji gave advice on laboratory work. Xiangkun Kong, Qun Zhang and Jiandong Jiang wrote and revised the manuscript.
Supporting information
Figure S1 The phenotype of the wild‐type (WT) soybeans grew in soil containing same concentration of isoproturon (IPU) and its demethylated metabolite 3‐(4‐isopropylphenyl)‐1‐methylurea (MDIPU) after transplanted 21 days.
Figure S2 Detection of isoproturon (IPU) degradation activity by rhizosphere exudates with HPLC analysis.
Figure S3 Inhibition of the growth of rhizobia (Bradyrhizobium japonicum) by isoproturon (IPU).
Figure S4 The different relative abundances of major Phyla (top 10) among the rhizosphere bacteria of WT and transgenic (TS) plants under non‐isoproturon (control) and isoproturon (IPU) conditions at three periods.
Figure S5 The alpha diversity analysis of samples.
Acknowledgements
This research was supported by the grants from the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA28030501), National Natural Science Foundation of China‐European Union Joint Program (No. 3181101464) and Fundamental Research Funds for the Central Universities (KYZZ2022001 and KYXK2021002) for J.J.D., and the grants from the National Natural Science Foundation of China (32270301), Jiangsu Agriculture Science and Technology Innovation Fund (CX‐20‐2007) and Fundamental Research Funds for the Central Universities (XUEKEN2022002) to Q.Z.
Contributor Information
Qun Zhang, Email: zhangqun@njau.edu.cn.
Jiandong Jiang, Email: jiang_jjd@njau.edu.cn.
Data availability
The raw data of 16S rRNA gene high‐throughput sequencing were all deposited in the NCBI Sequence Read Archive (SRA) database under BioProject ID: PRJNA851911.
References
- 2016/872, C. I. R. E. N . (2016) Commission Implementing Regulation (EU) No 2016/872 of 1 June 2016 concerning the non‐renewal of approval of the active substance isoproturon, in accordance with regulation (EC) No 1107/2009 of the European Parliament and of the council concerning the placing of plant protection products on the market, and amending commission implementing regulation (EU) No 540/2011. Off. J. Eur. Union, L 145, 7–9. [Google Scholar]
- Aktar, M.W. , Sengupta, D. and Chowdhury, A. (2009) Impact of pesticides use in agriculture: their benefits and hazards. Interdiscip. Toxicol. 2, 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arpaia, S. , Christiaens, O. , Giddings, K. , Jones, H. , Mezzetti, B. , Moronta‐Barrios, F. , Perry, J.N. et al. (2020) Biosafety of GM crop plants expressing dsRNA: data requirements and EU regulatory considerations. Front. Plant Sci. 11, 13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Azab, E. , Hegazy, A.K. , Gobouri, A.A. and Elkelish, A. (2020) Impact of transgenic Arabidopsis thaliana plants on herbicide isoproturon phytoremediation through expressing human cytochrome P450‐1A2. Biology, 9, 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baho, D.L. , Rizzuto, S. , Nizzetto, L. , Hessen, D.O. , Norberg, J. , Skjelbred, B. , Jones, K.C. et al. (2021) Ecological memory of historical contamination influences the response of phytoplankton communities. Ecosystems, 24, 1591–1607. [Google Scholar]
- Cary, T.J. , Rylott, E.L. , Zhang, L. , Routsong, R.M. , Palazzo, A.J. , Strand, S.E. and Bruce, N.C. (2021) Field trial demonstrating phytoremediation of the military explosive RDX by XplA/XplB‐expressing switchgrass. Nat. Biotechnol. 39, 1216–1219. [DOI] [PubMed] [Google Scholar]
- Chauhan, L.K. , Kumar, M. , Paul, B.N. , Goel, S.K. and Gupta, S.K. (2007) Cytogenetic effects of commercial formulations of deltamethrin and/or isoproturon on human peripheral lymphocytes and mouse bone marrow cells. Environ. Mol. Mutagen. 48, 636–643. [DOI] [PubMed] [Google Scholar]
- Cheng, M. , Chen, D. , Parales, R.E. and Jiang, J. (2022) Oxygenases as powerful weapons in the microbial degradation of pesticides. Annu. Rev. Microbiol. 76, 325–348. [DOI] [PubMed] [Google Scholar]
- Chu, C.W. , Liu, B. , Liu, J.W. , He, J. , Lv, L.J. , Wang, H.M. , Xie, X.T. et al. (2020) Phytoremediation of acetochlor residue by transgenic Arabidopsis expressing the acetochlor N‐dealkylase from Sphingomonas wittichii DC‐6. Sci. Total Environ. 728, 138687. [DOI] [PubMed] [Google Scholar]
- Daniell, H. , Jin, S. , Zhu, X.‐G. , Gitzendanner, M.A. , Soltis, D.E. and Soltis, P.S. (2021) Green giant‐a tiny chloroplast genome with mighty power to produce high‐value proteins: history and phylogeny. Plant Biotechnol. J. 19, 430–447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Daubech, B. , Remigi, P. , de Moura, G.D. , Marchetti, M. , Pouzet, C. , Auriac, M.C. , Gokhale, C.S. et al. (2017) Spatio‐temporal control of mutualism in legumes helps spread symbiotic nitrogen fixation. Elife, 6, e28683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dellacioppa, G. , Bauer, S.C. , Klein, B.K. , Shah, D.M. , Fraley, R.T. and Kishore, G.M. (1986) Translocation of the precursor of 5‐enolpyruvylshikimate‐3‐phosphate snthase into chloroplasts of higher plants in vitro . Proc. Natl Acad. Sci. USA, 83, 6873–6877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Deng, X. , Zhang, N. , Li, Y. , Zhu, C. , Qu, B. , Liu, H. , Li, R. et al. (2022) Bio‐organic soil amendment promotes the suppression of Ralstonia solanacearum by inducing changes in the functionality and composition of rhizosphere bacterial communities. New Phytol. 235, 1558–1574. [DOI] [PubMed] [Google Scholar]
- Directive (2000) Directive 2000/60/EC of the European parliament and of the council of 23 October 2000 establishing a framework for community action in the field of water policy. Off. J. Eur. Union, 327, 1–72. [Google Scholar]
- EFSA (2015) Conclusion on the peer review of the pesticide risk assessment of the active substance isoproturon. EFSA J. 13, 4206. [Google Scholar]
- Fahraeus, G. (1957) The infection of clover root hairs by nodule bacteria studied by a simple glass slide technique. J. Gen. Microbiol. 16, 374–381. [DOI] [PubMed] [Google Scholar]
- Fenner, K. , Canonica, S. , Wackett, L.P. and Elsner, M. (2013) Evaluating pesticide degradation in the environment: blind spots and emerging opportunities. Science, 341, 752–758. [DOI] [PubMed] [Google Scholar]
- Fox, J.E. , Gulledge, J. , Engelhaupt, E. , Burow, M.E. and McLachlan, J.A. (2007) Pesticides reduce symbiotic efficiency of nitrogen‐fixing rhizobia and host plants. Proc. Natl Acad. Sci. USA, 104, 10282–10287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gamborg, O.L. , Miller, R.A. and Ojima, K. (1968) Nutrient requirements of suspension cultures of soybean root cells. Exp. Cell Res. 50, 151–158. [DOI] [PubMed] [Google Scholar]
- Gao, M. , Xiong, C. , Gao, C. , Tsui, C.K.M. , Wang, M.M. , Zhou, X. , Zhang, A.M. et al. (2021) Disease‐induced changes in plant microbiome assembly and functional adaptation. Microbiome, 9, 187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goyal, R.K. , Mattoo, A.K. and Schmidt, M.A. (2021) Rhizobial‐host interactions and symbiotic nitrogen fixation in legume crops toward agriculture sustainability. Front. Microbiol. 12, 669404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gu, T. , Zhou, C.Y. , Sorensen, S.R. , Zhang, J. , He, J. , Yu, P.W. , Yan, X. et al. (2013) The novel bacterial N‐demethylase PdmAB is responsible for the initial step of N,N‐dimethyl‐substituted phenylurea herbicide degradation. Appl. Environ. Microb. 79, 7846–7856. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hernandez, D.J. , David, A.S. , Menges, E.S. , Searcy, C.A. and Afkhami, M.E. (2021) Environmental stress destabilizes microbial networks. ISME J. 15, 1722–1734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Herridge, D.F. , Giller, K.E. , Jensen, E.S. and Peoples, M.B. (2022) Quantifying country‐to‐global scale nitrogen fixation for grain legumes II. Coefficients, templates and estimates for soybean, groundnut and pulses. Plant Soil, 474, 1–15. [Google Scholar]
- Huang, X.W. , Yang, X.L. , Lin, J.H. , Franks, A.E. , Cheng, J. , Zhu, Y.J. , Shi, J.C. et al. (2022) Biochar alleviated the toxicity of atrazine to soybeans, as revealed by soil microbial community and the assembly process. Sci. Total Environ. 834, 155261. [DOI] [PubMed] [Google Scholar]
- Jehova Gonzalez, V. , Vazquez, E. , Villajos, B. , Tolosana‐Moranchel, A. , Duran‐Valle, C. , Faraldos, M. and Bahamonde, A. (2022) Eco‐friendly mechanochemical synthesis of titania‐graphene nanocomposites for pesticide photodegradation. Sep. Purif. Technol. 289, 120638. [Google Scholar]
- Kawahigashi, H. (2009) Transgenic plants for phytoremediation of herbicides. Curr. Opin. Biotechnol. 20, 225–230. [DOI] [PubMed] [Google Scholar]
- Khanom, S. , Jang, J. and Lee, O.R. (2019) Overexpression of ginseng cytochrome P450 CYP736A12 alters plant growth and confers phenylurea herbicide tolerance in Arabidopsis . J. Ginseng Res. 43, 645–653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, R. , Dorfler, U. , Munch, J.C. and Schroll, R. (2017) Enhanced degradation of isoproturon in an agricultural soil by a Sphingomonas sp. strain and a microbial consortium. Chemosphere, 168, 1169–1176. [DOI] [PubMed] [Google Scholar]
- Li, H. , La, S.K. , Zhang, X. , Gao, L.H. and Tian, Y.Q. (2021) Salt‐induced recruitment of specific root‐associated bacterial consortium capable of enhancing plant adaptability to salt stress. ISME J. 15, 2865–2882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lichtenthaler, H.K. (1987) Chlorophylls and carotenoids–pigments of photosynthetic biomembranes. Method. Enzymol. 148, 350–382. [Google Scholar]
- Nettles, R. , Watkins, J. , Ricks, K. , Boyer, M. , Licht, M. , Atwood, L.W. , Peoples, M. et al. (2016) Influence of pesticide seed treatments on rhizosphere fungal and bacterial communities and leaf fungal endophyte communities in maize and soybean. Appl. Soil Ecol. 102, 61–69. [Google Scholar]
- Niu, B. , Paulson, J.N. , Zheng, X.Q. and Kolter, R. (2017) Simplified and representative bacterial community of maize roots. Proc. Natl Acad. Sci. USA, 114, E2450–E2459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paz, M.M. , Martinez, J.C. , Kalvig, A.B. , Fonger, T.M. and Wang, K. (2006) Improved cotyledonary node method using an alternative explant derived from mature seed for efficient Agrobacterium‐mediated soybean transformation. Plant Cell Rep. 25, 206–213. [DOI] [PubMed] [Google Scholar]
- Rathjen, J.R. , Ryder, M.H. , Riley, I.T. , Lai, T.V. and Denton, M.D. (2020) Impact of seed‐applied pesticides on rhizobial survival and legume nodulation. J. Appl. Microbiol. 129, 389–399. [DOI] [PubMed] [Google Scholar]
- Ruiz, O.N. , Alvarez, D. , Torres, C. , Roman, L. and Daniell, H. (2011) Metallothionein expression in chloroplasts enhances mercury accumulation and phytoremediation capability. Plant Biotechnol. J. 9, 609–617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sabzevari, S. and Hofman, J. (2022) A worldwide review of currently used pesticides' monitoring in agricultural soils. Sci. Total Environ. 812, 152344. [DOI] [PubMed] [Google Scholar]
- Shannon, P. , Markiel, A. , Ozier, O. , Baliga, N.S. , Wang, J.T. , Ramage, D. , Amin, N. et al. (2003) Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 13, 2498–2504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Si, Y. , Guo, D.S. , Deng, S.X. , Lu, X.M. , Zhu, J.J. , Rao, B. , Cao, Y.J. et al. (2020) Ohr and OhrR are critical for organic peroxide resistance and symbiosis in Azorhizobium caulinodans ORS571. Genes, 11, 335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Spirhanzlova, P. , Fini, J. , Demeneix, B. , Lardy‐Fontan, S. , Vaslin‐Reimann, S. , Lalere, B. , Guma, N. et al. (2019) Composition and endocrine effects of water collected in the Kibale national park in Uganda. Environ. Pollut. 251, 460–468. [DOI] [PubMed] [Google Scholar]
- Storck, V. , Nikolaki, S. , Perruchon, C. , Chabanis, C. , Sacchi, A. , Pertile, G. , Baguelin, C. et al. (2018) Lab to field assessment of the ecotoxicological impact of chlorpyrifos, isoproturon, or tebuconazole on the diversity and composition of the soil bacterial community. Front. Microbiol. 9, 1412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sun, Y. , Xu, X.M. , Jia, Y.H. , Dong, W.Q. , Du, X.M. , Deng, H.Q. and Tang, C.M. (2021) Evaluation of the photosynthetic characteristics of upland cotton (Gossypium hirsutum L.) germplasm based on chlorophyll a fluorescence. Photosynthetica, 59, 693–701. [Google Scholar]
- Wang, C. , Li, Y. , Li, M. , Zhang, K. , Ma, W. , Zheng, L. , Xu, H. et al. (2021a) Functional assembly of root‐associated microbial consortia improves nutrient efficiency and yield in soybean. J. Integr. Plant Biol. 63, 1021–1035. [DOI] [PubMed] [Google Scholar]
- Wang, T.L. , Zhong, M.M. , Lu, M.L. , Xu, D.J. , Xue, Y.G. , Huang, J. , Blaney, L. et al. (2021b) Occurrence, spatiotemporal distribution, and risk assessment of current‐use pesticides in surface water: a case study near Taihu Lake, China. Sci. Total. Environ. 782, 146826. [DOI] [PubMed] [Google Scholar]
- Wang, X. , Wang, M. , Wang, L. , Feng, H. , He, X. , Chang, S. , Wang, D. et al. (2022) Whole‐plant microbiome profiling reveals a novel geminivirus associated with soybean stay‐green disease. Plant Biotechnol. J. 20, 2159–2173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xiao, X. , Chen, W.M. , Zong, L. , Yang, J. , Jiao, S. , Lin, Y.B. , Wang, E.T. et al. (2017) Two cultivated legume plants reveal the enrichment process of the microbiome in the rhizocompartments. Mol. Ecol. 26, 1641–1651. [DOI] [PubMed] [Google Scholar]
- Xu, X. , Zarecki, R. , Medina, S. , Ofaim, S. , Liu, X. , Chen, C. , Hu, S. et al. (2019) Modeling microbial communities from atrazine contaminated soils promotes the development of biostimulation solutions. ISME J. 13, 494–508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yan, X. , Gu, T. , Yi, Z. , Huang, J. , Liu, X. , Zhang, J. , Xu, X. et al. (2016) Comparative genomic analysis of isoproturon‐mineralizing sphingomonads reveals the isoproturon catabolic mechanism. Environ. Microbiol. 18, 4888–4906. [DOI] [PubMed] [Google Scholar]
- Yan, X. , Huang, J.W. , Xu, X.H. , Chen, D. , Xie, X.T. , Tao, Q. , He, J. et al. (2018) Enhanced and complete removal of phenylurea herbicides by combinational transgenic plant‐Microbe remediation. Appl. Environ. Microbiol. 84, 16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang, M.K. , Wen, Z.L. , Hao, C.Y. , Fazal, A. , Liao, Y.H. , Luo, F.H. , Yao, W.X. et al. (2021) Differential assembly and shifts of the rhizosphere bacterial community by a dual transgenic glyphosate‐tolerant soybean line with and without glyphosate application. Horticulturae, 7, 374. [Google Scholar]
- Yin, X.L. , Jiang, L. , Song, N.H. and Yang, H. (2008) Toxic reactivity of Wheat (Triticum aestivum) plants to herbicide isoproturon. J. Agric. Food Chem. 56, 4825–4831. [DOI] [PubMed] [Google Scholar]
- Zambryski, P. , Depicker, A. , Kruger, K. and Goodman, H.M. (1982) Tumor induction by Agrobacterium tumefaciens: analysis of the boundaries of T‐DNA. J. Mol. Appl. Genet. 1, 361–370. [PubMed] [Google Scholar]
- Zhai, X.Y. , Chen, Z.J. , Liu, J. , Zhang, N. and Yang, H. (2022) Expression of CYP76C6 facilitates isoproturon metabolism and detoxification in rice. J. Agric. Food Chem. 70, 4599–4610. [DOI] [PubMed] [Google Scholar]
- Zhang, H. , Wen, B. , Hu, X. , Wu, Y. , Pan, Y. , Huang, H. , Liu, L. et al. (2016) Uptake, translocation, and metabolism of 8:2 fluorotelomer alcohol in soybean (Glycine max L. Merrill). Environ. Sci. Technol. 50, 13309–13317. [DOI] [PubMed] [Google Scholar]
- Zhong, C. , Chen, C. , Gao, X. , Tan, C. , Bai, H. and Ning, K. (2022) Multi‐omics profiling reveals comprehensive microbe‐plant‐metabolite regulation patterns for medicinal plant Glycyrrhiza uralensis Fisch . Plant Biotechnol. J. 20, 1874–1887. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1 The phenotype of the wild‐type (WT) soybeans grew in soil containing same concentration of isoproturon (IPU) and its demethylated metabolite 3‐(4‐isopropylphenyl)‐1‐methylurea (MDIPU) after transplanted 21 days.
Figure S2 Detection of isoproturon (IPU) degradation activity by rhizosphere exudates with HPLC analysis.
Figure S3 Inhibition of the growth of rhizobia (Bradyrhizobium japonicum) by isoproturon (IPU).
Figure S4 The different relative abundances of major Phyla (top 10) among the rhizosphere bacteria of WT and transgenic (TS) plants under non‐isoproturon (control) and isoproturon (IPU) conditions at three periods.
Figure S5 The alpha diversity analysis of samples.
Data Availability Statement
The raw data of 16S rRNA gene high‐throughput sequencing were all deposited in the NCBI Sequence Read Archive (SRA) database under BioProject ID: PRJNA851911.
