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. 2025 Jul 23;15:26836. doi: 10.1038/s41598-025-11801-5

Optimization of selection agent concentrations and expanding G418 utility for gentamicin resistance in Marchantia polymorpha

Andisheh Poormassalehgoo 1,2, Elżbieta Kaniecka 1,2, Mohamadreza Mirzaei 1,2, Shino Goto-Yamada 1,
PMCID: PMC12287465  PMID: 40702113

Abstract

Genetic transformation of plants is pivotal for advancing biotechnology, with success depending largely on effective selection methods. Marchantia polymorpha has emerged as a model plant due to its evolutionary importance, ease of manipulation, and simple genetic structure. However, inconsistent antibiotic performance and limited studies on optimal selection agent concentrations have posed challenges. This study aimed to optimize selection agent use in M. polymorpha genetic transformation. We assessed the effects of five antibiotics (hygromycin, kanamycin, G418, neomycin, and gentamicin) and the herbicide chlorsulfuron on M. polymorpha gemmae growth by evaluating survival, morphological properties, area, and fresh weight of the thallus on these selection media. For each agent, we identified the minimum lethal concentration for nontransgenic plants and safe thresholds for transgenics, balancing false-positive prevention with reduced toxicity. This study effectively determined optimal concentrations of selective agents for M. polymorpha gemmae transformation. Hygromycin, G418, and chlorsulfuron have broad selective concentration ranges of 5–100, 2–100 µg/ml, and 20–400 ng/ml, respectively, enabling efficient transformant selection. On the other hand, kanamycin, gentamicin, and neomycin had narrow selection concentration ranges, making the separation of transformed and nontransformed gemmae less effective. Notably, we observed cross-activity of the gentamicin resistance enzyme with G418, a phenomenon also confirmed in tobacco. This unexpected cross-activity underscores the need for careful marker selection while also highlighting its potential for strategic antibiotic use. Specifically, this cross-activity could improve the usability of the aacC1 selection marker, making it a more versatile tool for molecular biological analysis. Our findings enhance transformation protocols for M. polymorpha and possibly other plant species.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-025-11801-5.

Keywords: Marchantia polymorpha, Genetic transformation, Herbicide, Aminoglycoside antibiotics, Cross activity

Subject terms: Plant biotechnology, Transgenic plants, Plant molecular biology

Background

Bryophytes, including the liverwort Marchantia polymorpha, are nonvascular plants that diverged from the lineage leading to modern flowering plants over 400 million years ago. These plants are valuable organisms for research due to their role in preventing soil erosion, contributing to soil formation, stabilization, humus accumulation, and water retention. Bryophytes also provide nutritional requirements for various organisms, such as insects, millipedes, and earthworms1. Beyond their ecological significance, these plants are useful tools for plant biotechnology research due to their unique features. M. polymorpha, characterized by simple morphology, low genetic redundancy, a haploid-dominant life cycle, availability of both sexual and vegetative propagation, and rapid growth, has become an excellent experimental material for plant biological studies, providing insights into plant evolution and diversification2,3.

Genetic transformation introduces foreign DNA into an organism’s genome to modify its genes. For M. polymorpha, methods such as Agrobacterium-mediated transformation, particle bombardment (biolistics), and PEG-mediated protoplast transformation have been proposed3,4. Among these transformation methods, the use of PEG -mediated transformation is limited to protoplast transformation with only a few reports employing these techniques and particle bombardment needs expensive equipment46. On the other hand, Agrobacterium-mediated transformation is a common and widely used method for producing stable transformants of M. polymorpha, capable of transforming spores7,8, thalli913, and gemmae14,15. This method involves three key steps: (1) pre-culture of M. polymorpha tissue; (2) coculture with Agrobacterium harboring recombinant T-DNA; and (3) selection of transformed cells. The AgarTrap method simplifies this process by conducting steps on solid medium in a single Petri dish, applicable to spores (S-AgarTrap), thalli (T-AgarTrap), and gemmae (G-AgarTrap)1416. Transformation using gemmae and thalli, unlike spores, produces transformants with a uniform genetic background12,1416.

Antibiotics and herbicides screen transformants by eliminating nontransformed cells. Genes conferring resistance to these agents are used as selection markers. Four common markers in M. polymorpha transformation include: neomycin phosphotransferase II (nptII) for G418/geneticin, kanamycin, and neomycin; hygromycin B phosphotransferase (hpt) for hygromycin B; aminoglycoside 3-N-acetyltransferase I (aacC1) for gentamicin; and mutated acetolactate synthase (mALS) for chlorsulfuron17. The first three are markers for antibiotics, and these antibiotics inhibit protein synthesis by binding to ribosomes. The herbicide chlorsulfuron inhibits acetolactate synthase (ALS), blocking biosynthesis of essential branched-chain amino acids and disrupting cell division and development, causing plant decay18. This effect is counteracted by exogenously introduced mALS marker enzyme18,19.

In genetic transformation, the effectiveness of selection agents is crucial; however, plant sensitivity to antibiotics or herbicides varies depending on species, tissue or organ type, and growth conditions20. For example, transformed rice and soybean cells were effectively selected at 50 and 20 µg/ml of hygromycin, respectively2123. In Anthoceros agrestis (hornwort), a relative of M. polymorpha, untransformed thallus growth was inhibited by 10 µg/ml hygromycin over three weeks24. G418 is commonly used in M. polymorpha transformation, while hornwort thallus tissue resists G418 even at 150 µg/ml24. For kanamycin, the optimal concentration for selecting transgenic shoot regeneration in apples was 5 µg/ml; concentrations over 10 µg/ml completely inhibited callus growth and shoot primordia formation, even in transformants25. Chlorsulfuron inhibited untransformed hornwort thallus growth at 180 ng/ml (0.5 µM)26, while 100 ng/ml was optimal for selecting transformants in Camelina sativa27. Various methods and improvements for M. polymorpha transformation have been reported; however, they only introduce fixed antibiotic concentrations, and no comprehensive study on the optimal selection agent concentrations for M. polymorpha exists15,17. It is well known that even within the same transformation method, the effective antibiotic concentration can vary between laboratories, as observed in the common model plant Arabidopsis thaliana28,29. Therefore, determining the minimum concentration to eradicate nontransformed cells and the maximum concentration that resistant plants can tolerate is critical. Furthermore, while the AgarTrap method has been reported to be ineffective for selecting transformants using gentamicin15, identifying the optimal antibiotic concentration could potentially provide a solution to this issue. Expanding the range of selectable markers would allow for the introduction of a greater variety of genetic constructs, thereby contributing to more advanced genetic analyses in M. polymorpha.

Building on these considerations, this study investigated the effects of five AG antibiotics (hygromycin, gentamicin, G418, kanamycin, and neomycin) and the herbicide chlorsulfuron at various concentrations on M. polymorpha gemmae growth. Additionally, it addresses the cross-activity of resistance enzymes and offers recommendations for selecting agents and their concentrations when introducing multiple selection marker genes into M. polymorpha.

Methods

Plant materials and growth conditions

This study used the common M. polymorpha male accession Takaragaike-1 (Tak-1) as a wild-type3, which was kindly provided by Dr. Takayuki Kohchi, Kyoto University, Japan and Dr. Shoji Mano, National Institute for Basic Biology, Japan. The Tak1-derived transgenics were resistant to hygromycin, neomycin/kanamycin/G418, gentamicin, and chlorsulfuron harbored plasmids derived from R4pMpGWB139, pMpGWB403, pMpGWB205, and pMpGWB305, respectively17,30. Plants were grown under normal conditions for M. polymorpha on half-strength Gamborg B5 salts media (Metck; G5768), 1% sucrose, 2.5 mM MES-KOH (pH 5.7), and 1% Phyto agar (Duchefa Biochemie; P1003), incubated at 22˚C under continuous white light at 50 µmol m− 2 s− 1.

Antibiotic/herbicide examinations

For resistance examinations of selection agents, fresh gemmae from 3 to 5 cups of 3- to 4-week-old plants were harvested and pooled in sterile water. Each pooled gemma was then placed individually on 25 mL of solid growth media in a 9 cm diameter petri dish. To evaluate the resistance of an AG resistance gene against other AGs, gemmae were cultured as illustrated in Supplementary Figure S1. Plates were incubated under normal growth conditions for three days. On the third day, antibiotic/herbicide treatments were applied using the G-AgarTrap method13. The calculated amount of antibiotic/herbicide for 25 ml of media was prepared in 2 ml of water, mixed thoroughly, and spread evenly over the plate. The solution was absorbed by the medium within a few hours. After 10 more days of growth, images were taken. The selection agents used were hygromycin B (Merck, H3274), kanamycin sulfate (Eproscience, KAN201), G418 disulfate salt (geneticin, Thermo Scientific, J62671), gentamicin sulfate salt (Merck, G1264), neomycin trisulfate salt hydrate (Merck, N6386), and chlorsulfuron (Merck, 34322).

Protein structural analysis and molecular docking

Molecular graphics and analyses were performed with UCSF ChimeraX31. The affinity of AG antibiotics against AAC(3)-Ia protein was determined using AutoDock Vina 1.2.5 provided by SwissDock (swissdock.ch) [3233, . The protein model, obtained from the Protein Data Bank (rcsb.org), corresponds to the coenzyme A (CoA)-bound AAC(3)-Ia dimer structure (PDB: 6bvc). All extraneous molecules, except for CoA, were removed from the protein’s 3D structural data using ChimeraX. Molecular information for six AG antibiotics (gentamicin C1, sisomicin, G418, kanamycin A, neomycin B, and hygromycin B) was obtained from PubChem as Simplified Molecular Input Line Entry System (SMILES) codes (pubchem.ncbi.nlm.nih.gov) (Supplementary Table S1). The calculated affinities of twenty configurations for each antibiotic were charted using the R-based boxplot creation tool BoxPlotR (shiny.chemgrid.org).

Evaluation of aacC1 cross-activity to G418 in tobacco leaves

Agrobacterium lines used to transform M. polymorpha, containing plasmids from pMpGWB403 (nptII marker) and pMpGWB205 (aacC1 marker), were cultured overnight. Two milliliters of each culture were centrifuged, and the bacterial pellets were washed and resuspended in 1 mL of sterile water. These suspensions were injected into tobacco leaves using a syringe, followed by a two-day incubation to induce protein expression. Agrobacterium without any vector was injected as a control. Twelve leaf discs (5 mm diameter) were prepared from these leaves and floated on liquid full-strength MS medium, MES-KOH (pH 5.7), containing 100 µg/ml Cefotaxime sodium salt (Fuji Film, 030-16113) to suppress agrobacterial growth, with and without 50 µg/ml G418. The discs were incubated for 7 days under continuous light at 22 °C.

Measurement of chlorophyll contents

Chlorophylls were extracted by immersing each leaf disc (5 mm diameter) in ethanol at room temperature in the dark for 48 h. Chlorophyll a and b content in the extract was calculated using absorbance values at A664 and A649, according to the Lichtenthaler method34.

Imaging and statistical analysis

Total areas were measured using the trainable waikato environment for knowledge analysis (WEKA) segmentation plugin in Fiji/ImageJ (imagej.net/software/fiji). Fresh weights and morphological features were also assessed. Each experiment had at least three biological replicates. Statistical analysis was performed using OriginLab (OriginLab Corporation).

Results

Determining the effective concentration of selection agents on M. polymorpha

To evaluate the impact of selection agents on gemmae growth and determine optimal concentrations for M. polymorpha transformation, freshly harvested gemmae from wild-type (Tak-1) and lines harboring nptII (resistance to neomycin/kanamycin/G418), aacC1 (gentamicin), hpt (hygromycin), and mALS (chlorsulfuron) were cultured on half-strength B5 plates with selection agents at various concentrations. After 10 days, total thalli areas, fresh weights, and morphological features were assessed. The efficiency of AG resistance markers (hygromycin, neomycin, kanamycin, G418, and gentamicin) was examined simultaneously (Supplementary Figure S1).

Hygromycin

To determine the optimal hygromycin concentration, a range from 1 to 400 µg/mL was added to plates containing 3-day-old gemmae. After 10 days, gemmae were analyzed (Fig. 1, Supplementary Figure S2).

Fig. 1.

Fig. 1

Hygromycin sensitivity of WT and transgenic plants. (a) Morphology of wild type, aacC1 (GenR), nptII (Neo/Kan/G418R), and hpt (HygR) gemmae in various concentrations of hygromycin antibiotic for 10 days. (b) Area of WT and transgenic gemmae in various concentrations of hygromycin. The data represent the mean ± standard deviation of 14–15 gemmae from three biological replicates.

Wild-type gemmae growth was significantly suppressed at 1 µg/ml, and all gemmae were eliminated at 5 µg/ml. Hygromycin-resistant plants (hpt) grew well within 1 to 150 µg/ml of hygromycin; however, concentrations above 150 µg/ml significantly inhibited growth and altered morphology (Fig. 1). Thus 5–100 µg/ml is the effective range for hygromycin selection.

G418

G418 concentration was tested from 1 to 400 µg/ml (Fig. 2, Supplementary Figure S3). Even at 1 µg/ml, wild-type and hygromycin-resistant hpt gemmae were eliminated. The nptII gene, known for G418 resistance, allowed plants to grow normally up to 100 µg/ml and survive at 200 µg/ml, though plant became small and shrieked with slow growth (Fig. 2). Interestingly, aacC1 plants showed notable G418 resistance, growing normally at 50 µg/ml and barely surviving at 200 µg/ml, albeit smaller than nptII plants.

Fig. 2.

Fig. 2

G418 sensitivity of WT and transgenic plants. (a) Morphology of WT, aacC1 (GenR), nptII (Neo/Kan/G418R), and hpt (HygR) gemmae in various concentrations of G418 antibiotic for 10 days. (b) Area of WT and transgenic gemmae in various concentrations of G418. The data represent the mean ± standard deviation of 14–15 gemmae from three biological replicates. The significance between nptII and aacC1 is marked with *, indicating p < 0.05, as determined by the Student’s t-test.

Kanamycin

Kanamycin concentration was tested from 5 to 500 µg/ml (Fig. 3, Supplementary Figure S4). Kanamycin treatment of plants without nptII (wild-type, hpt, aacC1) showed no significant difference. Growth was affected at 10 µg/ml but remained viable. At 50 µg/ml, nonresistant gemmae survived with severe growth suppression. At 100 µg/ml, all nonresistant gemmae were eliminated, while nptII plants survived with shrunken thalli.

Fig. 3.

Fig. 3

Kanamycin sensitivity of WT and transgenic plants. (a) Morphology of WT, aacC1 (GenR), nptII (Neo/Kan/G418R), and hpt (HygR) gemmae in various concentrations of kanamycin antibiotic for 10 days. (b) Area of WT and transgenic gemmae in various concentrations of kanamycin. The data represent the mean ± standard deviation of 14–15 gemmae from three biological replicates.

Neomycin

Neomycin concentration was tested from 1 to 300 µg/ml (Fig. 4, Supplementary Figure S5). Similar to kanamycin, 50 µg/ml was insufficient to eliminate non-resistant plants without nptII, which retained their green color. Concentrations above 100 µg/ml successfully eliminated nonresistant plants. Non-nptII plants (wild-type, hpt, and aacC1) showed no difference in response. nptII plants survived up to 150 µg/ml but showed severe growth inhibition at higher concentrations.

Fig. 4.

Fig. 4

Neomycin sensitivity of WT and transgenic plants. (a) Morphology of WT, aacC1 (GenR), nptII (Neo/Kan/G418R), and hpt (HygR) gemmae in various concentrations of neomycin antibiotic for 10 days. (b) Area of WT and transgenic gemmae in various concentrations of neomycin. The data represent the mean ± standard deviation of 14–15 gemmae from three biological replicates.

Gentamicin

Gentamicin concentration was tested from 5 to 300 µg/ml (Fig. 5, Supplementary Figure S6). Like kanamycin and neomycin, gentamicin was less effective; nonresistant plants survived at 50 µg/ml but were nearly eliminated at 100 µg/ml. Non-aacC1 plants (wild-type, php, and nptII) showed no difference in response. aacC1 plants grew normally up to 100 µg/ml but were significantly inhibited above 200 µg/ml.

Fig. 5.

Fig. 5

Gentamicin sensitivity of WT and transgenic plants. (a) Morphology of WT, aacC1 (GenR), nptII (Neo/Kan/G418R), and hpt (HygR) gemmae in various concentrations of gentamicin antibiotic for 10 days. (b) Area of WT and transgenic gemmae in various concentrations of gentamicin. The data represent the mean ± standard deviation of 14–15 gemmae from three biological replicates.

Chlorsulfuron

Chlorsulfuron concentration was tested from 1 to 1000 ng/ml (0.003 µM to 2.80 µM) (Fig. 6, Supplementary Figure S7). Wild-type gemmae growth was suppressed at 5 to 10 ng/ml, and 20 ng/ml eliminated wild-type plants. Chlorsulfuron-resistant mALS plants survived at 200 ng/ml without significant weight reduction and morphological changes. However, at concentrations exceeding 400 ng/ml, the plants survived but exhibited shrunken thalli (Supplementary Figure S7). Thus, chlorsulfuron is effective for M. polymorpha gemmae selection at 20–200 ng/ml.

Fig. 6.

Fig. 6

Chlorsulfuron sensitivity of WT and transgenic plants. (a) Morphology of WT and mALS (CSR) gemmae in various concentrations of chlorsulfuron. (b) Area of WT and transgenic gemmae in various concentrations of chlorsulfuron. The data represent the mean ± standard deviation. n = 3.

In summary, these experiments assessed the growth and lethality of M. polymorpha gemmae under various AG antibiotic and herbicide concentrations. Comprehensive results are shown in Fig. 7.

Fig. 7.

Fig. 7

Summary of the effect of selection agents. This bar chart visualizes the results of this study, showing the impact of selection agents on the survival rate of wild type and transgenic lines of M. polymorpha gemmae.

Analysis of predicted bindings between the gentamicin resistance enzyme and AG antibiotics

During the examination of G418 concentrations, plants with both kanamycin-resistance marker nptII and gentamicin-resistance marker aacC1 showed significant resistance to G418. To understand aacC1’s cross-resistance to G418, interactions between AAC(3)-Ia protein (product of aacC1) and AG antibiotics were predicted using AutoDock Vina 1.2.5 via SwissDock32,35. Ligands included gentamicin C1, sisomicin, which are known substrates of AAC(3)-Ia, along with G418, kanamycin A, neomycin B, and hygromycin B (Fig. 8a, Supplementary Fig. 9, Supplementary Table 1). The amino group at the 3-position of the aminocyclitol ring in gentamicin and sisomicin, targeted by AAC(3)-Ia, is shared among these AG antibiotics (Fig. 8a)36. Molecular docking used the crystal 3D structure of Serratia marcescens AAC(3)-Ia protein (Protein Data Bank: 6bvc, dimerized and coenzyme A (CoA)-bound form)37. The AAC(3)-Ia amino acid sequence is 99.4% identical between aacC1 in the pMpGWB205 vector and S. marcescens, differing by one amino acid: Val replaced with Leu in S. marcescens. The AAC(3)-Ia complex has negatively charged pockets near the CoA binding site (Fig. 8b), conserved among AAC(3)-Ia homologs in the Pseudomonadota phylum (Fig. 8c). Molecular docking showed all tested AG antibiotics fit into the negatively charged pocket (Supplementary Figure S9). Neomycin, a non-substrate, exhibited the highest binding affinity, indicating that no correlation between simulated affinity and substrate status (Fig. 8d).

Fig. 8.

Fig. 8

Predicted binding affinity and structural configuration of the gentamicin resistance enzyme with AG compounds. Molecular docking was performed using AutoDock 1.2.5 to evaluate the binding affinity and structural configuration between various AG compounds (Supplementary Table 1) and the 3D structural model of the aacC1 gene product AAC(3)-Ia; PDB: 6bvc, a dimer bound to coenzyme A (CoA). (a) AG compounds tested by molecule docking. The known amino group where AAC(3)-Ia adds an acetyl group is indicated by a red arrow. The aminocyclitol rings are highlighted in blue. (b) The electrostatic potential of the AAC(3)-Ia protein. The region enclosed by the dashed line corresponds to the negatively charged pocket. (c) The evolutionary conservation of amino acid residues: 100%, 90%, 80%, and 70% in red, orange, yellow, and lime, respectively (Supplementary Fig. 8). (d) The calculated binding affinities of the 20 modeled configurations are shown as boxplots with a bee swarm overlay. The known substrate AGs for AAC(3)-Ia (gentamicin and sisomicin) are indicated in red, G418, which showed resistance in this study, is indicated in orange, and the AGs not inactivated by AAC(3)-Ia is indicated in grey. In the boxplot, center lines show medians; box limits represent the 25th and 75th percentiles; whiskers extend 1.5 times the interquartile range, with outliers as dots. Statistical analysis was conducted using one-way ANOVA followed by Bonferroni post-hoc corrections for multiple comparisons, identifying statistically significant differences after adjustment (adjusted p < 0.05). n = 20. The actual binding results are shown in Supplementary Fig. 9.

Evaluation of the aacC1 cross-resistance to G418 in tobacco leaves

To determine if aacC1’s cross-activity to G418 is specific to bryophytes, we tested this in tobacco Nicotiana tabacum. Tobacco leaves were infiltrated with Agrobacterium carrying the same plasmid used for M. polymorpha transformants, including either aacC1 or nptII marker. After two days of protein induction, leaves were incubated with G418 for one week. Control leaves died after G418 treatment, while leaves expressing either aacC1 or nptII showed similar resistance to G418. Chlorophyll content was similar in these plants (Fig. 9a, b; Supplementary Table S2).

Fig. 9.

Fig. 9

Assay of antibiotic resistance by transient expression of resistance markers in tobacco leaves. (a) Tobacco leaves were injected with Agrobacterium carrying plasmids with either aacC1 or nptII markers, or with Agrobacterium lacking plasmids (-). Two days later, leaf discs were prepared and incubated in a liquid medium with antibiotics 50 µg/ml of G418 for 7 days. Mock indicates without G418. The leaves were notched to make them lie flat for the photograph. Bar = 5 mm. (b) Chlorophyll (a + b) content per leaf disc (Supplementary Table 2) was normalized to the mean value of the treatment with mock, which was set to 1.0. Center line in the box plot represents the median. Whiskers extend 1.5 times the interquartile range from the 25th to the 75th percentiles. Outliers are shown as dots. The cross represents the mean. Statistical significance was assessed using one-way ANOVA followed by Holm’s correction. Significance of differences between the control (-) and aacC1 or nptII: ***p < 0.001. n = 12.

Discussion

We assessed the impact of five AG antibiotics (hygromycin, kanamycin, neomycin, G418, and gentamicin) and the herbicide chlorsulfuron on M. polymorpha gemmae transformation. Chlorsulfuron, hygromycin, and G418 were the most effective selection markers, eliminating nontransformed plants at low concentrations and offering a broad range of safe concentrations for resistant plants (Fig. 7). While all AG antibiotics bind to bacterial 70 S ribosomes and inhibit the protein synthesis process, hygromycin and G418 also inhibit eukaryotic 80 S ribosomes36. In plants, AG antibiotics like kanamycin and neomycin, which target bacterial ribosomes, can affect the 70 S ribosomes within chloroplasts and mitochondria20,38. Gentamicin is generally recognized as a bacterial ribosome inhibitor3941, though recent studies suggest it can bind to eukaryotic ribosomes without leading to translation errors4143. These antibiotics must enter chloroplasts and mitochondria, requiring passage across their double membranes. This passage can be challenging for hydrophilic compounds like AGs44, potentially facilitated by membrane transport proteins. The chloroplast-localized MAR1 transporter controls the entry of multiple AG antibiotics into chloroplasts in Arabidopsis38. The mar1 mutant shows sensitivity to cytoplasmic-acting antibiotics (including hygromycin and G418) similar to the wild-type but resistance to chloroplast-acting antibiotics (including kanamycin and gentamicin). In our study, G418 and hygromycin exhibited higher lethality compared to kanamycin, neomycin, and gentamicin. G418 and hygromycin effectively eliminated nonresistant plants at low concentrations (1 µg/ml and 5 µg/ml, respectively) without affecting resistant plants even at high concentrations (200 µg/ml). In contrast, kanamycin, neomycin, and gentamicin required higher concentrations to eliminate nonresistant plants (100, 50, and 100 µg/ml, respectively), which also affected resistant plants. Additionally, kanamycin’s dose-response effectiveness is lower in M. polymorpha than in other plants, e.g., 25–50 µg/mL is generally used in Arabidopsis transformation45,46. These results suggest that in M. polymorpha, these antibiotics have low permeability to organelles or may not easily act on organellar ribosomes. Also, detoxifying proteins from resistance markers may not effectively inactivate these antibiotics due to specific intracellular environments in M. polymopha. Although we found that M. polymorpha also possesses MAR1 homologs (Mp3g2008, Mp1g18080) by in silico analysis, it is unclear that they contribute to antibiotics translocate. The differences in the effects of these AG groups on M. polymorpha are intriguing and warrant further research.

We explored whether AG-resistant genes affect plant responses to other AG antibiotics. Our findings revealed that the gentamicin resistance gene aacC1 unexpectedly increased plant tolerance to G418 (Fig. 2) but did not affect tolerance to neomycin, kanamycin, or hygromycin (Figs. 1 and 3, and 4). Conversely, the nptII gene, which confers resistance to G418, kanamycin, and neomycin, did not affect gentamicin tolerance (Fig. 6). AG antibiotic resistance is mediated by AG-modifying enzymes47. G418 is known to be inactivated by aminoglycoside 3’-phosphotransferase APH(3’)-II, the product of the nptII gene. Surprisingly, the acetyltransferase AAC(3)-Ia, produced by the aacC1 gene, also conferred G418 resistance in this study. We anticipated an interaction between AAC(3)-Ia and G418, but molecular docking simulations were inconclusive. AG antibiotics, being positively charged, fit into the negatively charged AAC(3)-Ia pocket48. The positioning of G418’s functional group within the pocket and its spatial relationship with acetyl-CoA likely play crucial roles in the modification process. However, the exact binding mode between AAC(3)-Ia and AG antibiotics and specific amino acid residues involved remain unknown. While AAC(3)-Ia modifies the 3-position amino group of the aminocyclitol ring in gentamicin and sisomicin, its effect on G418 is uncertain. Detailed enzymatic and structural analyses are needed to fully understand G418 modification by AAC(3)-Ia. AAC(3)-Ia has been reported to confer resistance to gentamicin, sisomicin, and astromicin but not to kanamycin, neomycin, paromomycin, tobramycin, amikacin, or plazomicin4951. Reports on AAC(3)-Ia’s reactivity to G418 are limited, but some studies are relevant. In the oomycete Phytophthora palmivora, the aacC1 gene conferred resistance to gentamicin but not to G41852. Conversely, in the moss Physcomitrium patens, the aacC1 marker conferred resistance to both gentamicin and G418, but not to kanamycin53, consistent with our findings in M. polymopha. We observed that aacC1 confers resistance to both gentamicin and G418, but not to kanamycin, neomycin, or hygromycin (Figs. 1, 2, 3, 4 and 5), although nptII confers greater resistance to G418 than aacC1. In tobacco, the aacC1 marker conferred G418 resistance comparable to the nptII marker (Fig. 9), suggesting that aacC1 may confer G418 resistance across various organisms. It has been reported that gentamicin cannot be used for the selection of transformants in the AgarTrap method, a common M. polymorpha transformation technique15. This may be due to our finding that gentamicin has a narrow effective concentration range, making it a challenging selection agent that requires careful concentration optimization. On the other hand, the cross-reactivity of aacC1 with G418 is expected to provide a solution to this issue.

Conclusions

This study evaluated selection agents for M. polymorpha gemmae transformation. Hygromycin, G418, and chlorsulfuron have broad selective concentration ranges, facilitating efficient transformant selection. In contrast, kanamycin, neomycin, and gentamicin require precise concentration settings due to their narrower ranges. For nptII marker selection, G418 is preferred over kanamycin or neomycin. While gentamicin is typically used with the aacC1 marker, G418 can also be effective at 2–50 µg/ml. When introducing multiple constructs (Fig. 10), caution is needed. For instance, if introducing an nptII marker into a background with aacC1, avoid G418; use kanamycin or neomycin instead, which are not inactivated by the aacC1 marker. Conversely, if introducing aacC1 into an nptII background, use gentamicin rather than G418. Hygromycin and chlorsulfuron can be combined with any marker without issues. Kanamycin, neomycin, and gentamicin’s narrow ranges can make it challenging to discriminate transformed from nontransformed cells, leading to potential false positives. Therefore, constructs with these agents should include a fluorescent marker for secondary selection. Our study determined optimal selective agent concentrations for M. polymorpha gemmae transformation. These recommendations provide valuable insights for enhancing transformation strategies across various organisms.

Fig. 10.

Fig. 10

M. polymorpha gemmae transformation with AG antibiotics. Antibiotics for the selection of transformed cells, which possess AG resistance markers (nptII, aacC1, and/or hpt), are indicated within black boxes. Antibiotics with a broad selective concentration range are highlighted. Kan kanamycin, Gen gentamicin, Hyg hygromycin.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Acknowledgements

The plasmids pMpGWB305 and R4pMpGWB139 were kindly provided by Dr. Shoji Mano, National Institute for Basic Biology, Japan. The plasmids pMpGWB403 and pMpGWB205 were kindly provided by Dr. Takayuki Kohchi, Kyoto University, Japan, via Addgen: #68668 and #68596. We would like to thank Dr. Takayuki Kohchi and Dr. Shoji Mano for generously providing the liverwort Tak-1. We thank Dr. Kenji Yamada for his valuable feedback. Molecular graphics and analyses of protein structures were performed with UCSF ChimeraX, developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from National Institutes of Health R01-GM129325 and the Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases.

Abbreviations

AAC(3)-Ia

Aminoglycoside N-acetyltransferase type 3-Ia

aacC1

Aminoglycoside 3-N-acetyltransferase I

AG

Aminoglycoside

APH(3’)-II

Aminoglycoside 3’-phosphotransferase

CS

Chlorsulfuron

Gen

Gentamicin

hpt

Hygromycin phosphotransferase

Hyg

Hygromycin

Kan

Kanamycin

mALS

Mutant Acetolactate Synthase

MAR1

Multiple antibiotic resistance1

nptII

Neomycin phosphotransferase II

SMILES

Simplified molecular input line entry system

WEKA

Waikato environment for knowledge analysis

Author contributions

A.P. and S.G.-Y. designed the experiment. A.P., S.G.-Y., E.K. and M.M. collected the data. A.P., S.G.-Y. and E.K. performed data analysis. A.P., S.G.-Y. and M.M. wrote the original manuscript. S.G.-Y. revised the manuscript. All authors read and approved the final manuscript.

Funding

This work is supported by National Science Centre, Poland (UMO-2019/34/E/NZ3/00299 to S.G.-Y. and A.P.) and a scholarship to M.M. from the Doctoral School of Exact and Natural Sciences, Jagiellonian University.

Data availability

All data generated during the selective agent resistance experiments are included in this published article and its supplementary information files. The data generated during the binding simulation of the AAC-Ia enzyme (PDB: 6bvc) with aminoglycoside antibiotics using AutoDock Vina are also included in this article and its supplementary files, with the raw output data available on Zenodo repository, https://doi.org/10.5281/zenodo.14061145.

Declarations

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Bidartondo, M. I. & Duckett, J. G. Conservative ecological and evolutionary patterns in liverwort-fungal symbioses. Proc. Biol. Sci.277, 485–492. 10.1098/rspb.2009.1458 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Takenaka, M. et al. Direct transformation and plant regeneration of the haploid liverwort Marchantia polymorpha L. Transgenic Res.9, 179–185. 10.1023/a:1008963410465 (2000). [DOI] [PubMed] [Google Scholar]
  • 3.Ishizaki, K., Nishihama, R., Yamato, K. T. & Kohchi, T. Molecular genetic tools and techniques for Marchantia polymorpha research. Plant. Cell. Physiol.57, 262–270. 10.1093/pcp/pcv097 (2016). [DOI] [PubMed] [Google Scholar]
  • 4.Nasu, M. et al. Efficient transformation of Marchantia polymorpha that is haploid and has a very small genome DNA. J. Ferment. Bioeng.84, 519–523. 10.1016/S0922-338X(97)81904-6 (1997). [Google Scholar]
  • 5.Reyna-Llorens, I., Ferro-Costa, M. & Burgess, S. J. Plant protoplasts in the age of synthetic biology. J. Exp. Bot. Jul. 18 (13), 3821–3832. 10.1093/jxb/erad172 (2023). [DOI] [PubMed] [Google Scholar]
  • 6.Rivera, A. L., Gómez-Lim, M., Fernández, F. & Loske, A. M. Physical methods for genetic plant transformation. Phys. Life Rev. Sep.9 (3), 308–345. 10.1016/j.plrev.2012.06.002 (2012). [DOI] [PubMed] [Google Scholar]
  • 7.Ishizaki, K., Chiyoda, S., Yamato, K. T. & Kohchi, T. Agrobacterium-mediated transformation of the haploid liverwort Marchantia polymorpha L., an emerging model for plant biology. Plant. Cell. Physiol.49, 1084–1091. 10.1093/pcp/pcn085 (2008). [DOI] [PubMed] [Google Scholar]
  • 8.Tsuboyama, S. & Kodama, Y. AgarTrap: a simplified Agrobacterium-mediated transformation method for sporelings of the liverwort Marchantia polymorpha L. Plant. Cell. Physiol.55, 229–236. 10.1093/pcp/pct168 (2014). [DOI] [PubMed] [Google Scholar]
  • 9.Kubota, A., Ishizaki, K., Hosaka, M. & Kohchi, T. Efficient Agrobacterium-mediated transformation of the liverwort Marchantia polymorpha using regenerating thalli. Biosci. Biotechnol. Biochem.77, 167–172. 10.1271/bbb.120700 (2013). [DOI] [PubMed] [Google Scholar]
  • 10.Seo, D. et al. A simple protocol for thallus culture-based genetic transformation of the liverwort Marchantia polymorpha. J. Plant. Biol.65 (1), 11–19. 10.1007/s12374-021-09339-w (2022). [Google Scholar]
  • 11.Iwakawa, H. et al. Agrobacterium-mediated transient transformation of Marchantia liverworts. Plant. Cell. Physiol.62 (11), 1718–1727. 10.1093/pcp/pcab126 (2021). [DOI] [PubMed] [Google Scholar]
  • 12.Tsuboyama-Tanaka, S., Nonaka, S. & Kodama, Y. A highly efficient agartrap method for genetic transformation of mature thalli of the liverwort Marchantia polymorpha L. Plant. Biotechnol.32 (4), 333–336. 10.5511/plantbiotechnology.15.0813a (2015). [Google Scholar]
  • 13.Batth, R., Poormassalehgoo, A., Bhardwaj, K., Kaniecka, E. & Goto-Yamada, S. A simple and scalable chopped-thallus transformation method for marchantia polymorpha. Plants14 (4), 582. 10.3390/plants14040582 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Tsuboyama-Tanaka, S. & Kodama, Y. AgarTrap-mediated genetic transformation using intact gemmae/gemmalings of the liverwort Marchantia polymorpha L. J. Plant. Res.128, 337–344. 10.1007/s10265-014-0695-2 (2015). [DOI] [PubMed] [Google Scholar]
  • 15.Tsuboyama, S., Nonaka, S., Ezura, H. & Kodama, Y. Improved G-AgarTrap: A highly efficient transformation method for intact Gemmalings of the liverwort Marchantia polymorpha. Sci. Rep.8 (1), 10800. 10.1038/s41598-018-28947-0 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tsuboyama, S. & Kodama, Y. Highly efficient G-AgarTrap-mediated transformation of the Marchantia polymorpha model strains Tak-1 and Tak-2. Plant. Biotechnol. (Tokyo). 35, 399–403. 10.5511/plantbiotechnology.18.0917a (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ishizaki, K. et al. Development of gateway binary vector series with four different selection markers for the liverwort Marchantia polymorpha. PLoS One. 10, e0138876. 10.1371/journal.pone.0138876 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ray, T. B. Site of action of chlorsulfuron: Inhibition of valine and isoleucine biosynthesis in plants. Plant. Physiol.75, 827–831. 10.1104/pp.75.3.827 (1984). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kawai, K. et al. Herbicide sensitivities of mutated enzymes expressed from artificially generated genes of acetolactate synthase. J. Pestic Sci.32, 128–137. 10.1584/jpestics.G07-29 (2008). [Google Scholar]
  • 20.Padilla, I. M. & Burgos, L. Aminoglycoside antibiotics: structure, functions and effects on in vitro plant culture and genetic transformation protocols. Plant. Cell. Rep.29, 1203–1213. 10.1007/s00299-010-0900-2 (2010). [DOI] [PubMed] [Google Scholar]
  • 21.Trick, H. N. & Finer, J. J. Sonication-assisted Agrobacterium-mediated transformation of soybean [Glycine max (L.) Merrill] embryogenic suspension culture tissue. Plant. Cell. Rep.17, 482–488. 10.1007/s002990050429 (1998). [DOI] [PubMed] [Google Scholar]
  • 22.Rashid, H., Bokhari, S. Y. A. & Quraishi, A. Callus induction, regeneration and hygromycin selection of rice (Super Basmati). J. Biol. Sci.1, 1145–1146. 10.3923/jbs.2001.1145.1146 (2001). [Google Scholar]
  • 23.Visarada, K. & Sarma, N. Transformation of indica rice through particle bombardment: factors influencing transient expression and selection. Biol. Plant.48, 25–31. 10.1023/B:BIOP.0000024271.38723.a6 (2004). [Google Scholar]
  • 24.Frangedakis, E. et al. An Agrobacterium-mediated stable transformation technique for the hornwort model Anthoceros agrestis. New. Phytol. 232, 1488–1505. 10.1111/nph.17524 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Verma, S., Kumar, A. & Modgil, M. Impact of cefotaxime and kanamycin on in vitro regeneration via Agrobacterium mediated transformation in apple cv. Red Chief. Plant Physiol. Rep.28, 34–42. 10.1007/s40502-023-00708-w (2023).
  • 26.Waller, M. et al. An optimized transformation protocol for Anthoceros agrestis and three more hornwort species. Plant. J.114, 699–718. 10.1111/tpj.16161 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Liu, X. et al. Transformation of the oilseed crop Camelina sativa by Agrobacterium-mediated floral dip and simple large-scale screening of transformants. Vitr Cell. Dev. Biol. Plant.48, 462–468. 10.1007/s11627-012-9459-7 (2012). [Google Scholar]
  • 28.Ee, S. F., Khairunnisa, M. B., Zeti-Azura, M. H., Noor Azmi, S. & Zamri Z effective hygromycin concentration for selection of Agrobacterium-mediated Transgenic Arabidopsis thaliana. Malaysian Appl. Biology. 43 (1), 119–123 (2014). [Google Scholar]
  • 29.Cho, H. T. & Cosgrove, D. J. Altered expression of expansin modulates leaf growth and pedicel abscission in Arabidopsis thaliana. Proc. Natl. Acad. Sci.97 (17), 9783–9788. 10.1073/pnas.160276997 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mano, S. et al. Novel gateway binary vectors for rapid tripartite DNA assembly and promoter analysis with various reporters and tags in the liverwort Marchantia polymorpha. PLoS One. 13, e0204964. 10.1371/journal.pone.0204964 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Meng, E. C. et al. UCSF chimerax: tools for structure Building and analysis. Protein Sci.32, e4792. 10.1002/pro.4792 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Bugnon, M. et al. SwissDock 2024: major enhancements for small-molecule Docking with attracting cavities and AutoDock Vina. Nucleic Acids Res.52, W324–W332. 10.1093/nar/gkae300 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Eberhardt, J., Santos-Martins, D., Tillack, A. F., Forli, S. & AutoDock Vina 1.2.0: new Docking methods, expanded force field, and Python bindings. J. Chem. Inf. Model.61, 3891–3898. 10.1021/acs.jcim.1c00203 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Lichtenthaler, H. K. & Buschmann, C. Chlorophylls and carotenoids: measurement and characterization by UV-VIS spectroscopy. Curr. Protoc. Food Anal. Chem.1, F4.3.1-F. 10.1002/0471142913.faf0403s01 (2001).
  • 35.Röhrig, U. F., Goullieux, M., Bugnon, M. & Zoete, V. Attracting cavities 2.0: improving the flexibility and robustness for small-molecule Docking. J. Chem. Inf. Model.63, 3925–3940. 10.1021/acs.jcim.3c00054 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Krause, K. M., Serio, A. W., Kane, T. R. & Connolly, L. E. Aminoglycosides: an overview. Cold Spring Harb Perspect. Med.6, 027029. 10.1101/cshperspect.a027029 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Popov, G., Evdokimova, E., Stogios, P. J. & Savchenko, A. Structure of the full-length Serratia marcescens acetyltransferase AAC(3)-Ia in complex with coenzyme A. Protein Sci.29, 803–808. 10.1002/pro.3811 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Conte, S., Stevenson, D., Furner, I. & Lloyd, A. Multiple antibiotic resistance in Arabidopsis is conferred by mutations in a chloroplast-localized transport protein. Plant. Physiol.151, 559–573. 10.1104/pp.109.143487 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Borovinskaya, M. A., Shoji, S., Fredrick, K. & Cate, J. H. Structural basis for hygromycin B Inhibition of protein biosynthesis. RNA14, 1590–1599. 10.1261/rna.1076908 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Dibrov, S. M., Parsons, J. & Hermann, T. A model for the study of ligand binding to the ribosomal RNA helix h44. Nucleic Acids Res.38, 4458–4465. 10.1093/nar/gkq159 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Prokhorova, I. et al. Aminoglycoside interactions and impacts on the eukaryotic ribosome. Proc. Natl. Acad. Sci. U S A. 114, E10899–E10908. 10.1073/pnas.1715501114 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Pellegrino, S., Terrosu, S., Yusupova, G. & Yusupov, M. Inhibition of the eukaryotic 80S ribosome as a potential anticancer therapy: a structural perspective. Cancers (Basel). 13, 4392. 10.3390/cancers13174392 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wilhelm, J. M., Pettitt, S. E. & Jessop, J. J. Aminoglycoside antibiotics and eukaryotic protein synthesis: structure–function relationships in the stimulation of misreading with a wheat embryo system. Biochemistry17, 1143–1149. 10.1021/bi00600a001 (1978). [DOI] [PubMed] [Google Scholar]
  • 44.Scholar, E. M. & Pratt, W. B. The Antimicrobial Drugs (2nd Edition) (Oxford University Press, 2000).
  • 45.Endo, M., Nakamura, S., Araki, T., Mochizuki, N. & Nagatani, A. Phytochrome B in the mesophyll delays flowering by suppressing FLOWERING LOCUS T expression in Arabidopsis vascular bundles. Plant. Cell.17, 1941–1952. 10.1105/tpc.105.032342 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Harrison, S. J. et al. A rapid and robust method of identifying transformed Arabidopsis thaliana seedlings following floral dip transformation. Plant. Methods. 2, 19. 10.1186/1746-4811-2-19 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Garneau-Tsodikova, S. & Labby, K. J. Mechanisms of resistance to aminoglycoside antibiotics: overview and perspectives. Medchemcomm7, 11–27. 10.1039/C5MD00344J (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Wolf, E. et al. Crystal structure of a GCN5-related N-acetyltransferase: Serratia marcescens aminoglycoside 3-N-acetyltransferase. Cell94, 439–449. 10.1016/S0092-8674(00)81585-8 (1998). [DOI] [PubMed] [Google Scholar]
  • 49.Brzezinska, M., Benveniste, R., Davies, J., Daniels, P. J. & Weinstein, J. Gentamicin resistance in strains of Pseudomonas aeruginosa mediated by enzymatic N-acetylation of the deoxystreptamine moiety. Biochemistry11, 761–765. 10.1021/bi00755a013 (1972). [DOI] [PubMed] [Google Scholar]
  • 50.Bergogneberezin, E., Joly, M. L., Moreau, N. & Legoffic, F. Aminoglycoside-modifying enzymes in clinical isolates of acinetobacter-calcoaceticus. Curr. Microbiol.4, 361–364. 10.1007/Bf02605378 (1980). [Google Scholar]
  • 51.Juhas, M. et al. In vitro activity of Apramycin against multidrug-, carbapenem- and aminoglycoside-resistant Enterobacteriaceae and Acinetobacter baumannii. J. Antimicrob. Chemother.74, 944–952. 10.1093/jac/dky546 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Evangelisti, E., Yunusov, T., Shenhav, L. & Schornack, S. N-acetyltransferase AAC(3)-I confers gentamicin resistance to Phytophthora palmivora and Phytophthora infestans. BMC Microbiol.19, 265. 10.1186/s12866-019-1642-0 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Prigge, M. J., Wang, Y. & Estelle, M. Mutations in the Physcomitrium patens gene encoding Aminodeoxychorismate Synthase confer auxotrophic phenotypes. Micro. Publ. Biol.10, 17912 (2021). 10.17912/micropub.biology.000364 (2021). [DOI] [PMC free article] [PubMed]

Associated Data

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

Supplementary Materials

Data Availability Statement

All data generated during the selective agent resistance experiments are included in this published article and its supplementary information files. The data generated during the binding simulation of the AAC-Ia enzyme (PDB: 6bvc) with aminoglycoside antibiotics using AutoDock Vina are also included in this article and its supplementary files, with the raw output data available on Zenodo repository, https://doi.org/10.5281/zenodo.14061145.


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