Lotus japonicus Genetic, Mutant, and Germplasm Resources

Phenolic Acids Induce Nod Factor Production in <i>Lotus japonicus</i>–<i>Mesorhizobium</i> Symbiosis

In legume–rhizobia symbiosis, partner recognition and the initiation of symbiosis processes require the mutual exchange of chemical signals. Chemicals, generally (iso)flavonoids, in the root exudates of the host plant induce the expression of nod genes in rhizobia, and, thus, are called nod gene inducers. The expression of nod genes leads to the production of lipochitooligosaccharides (LCOs) called Nod factors. Natural nod gene inducer(s) in Lotus japonicus–Mesorhizobium symbiosis remain unknown. Therefore, we developed an LCO detection method based on ultra-high-performance liquid chromatography–tandem-quadrupole mass spectrometry (UPLC-TQMS) to identify these inducers and used it herein to screen 40 phenolic compounds and aldonic acids for their ability to induce LCOs in Mesorhizobium japonicum MAFF303099. We identified five phenolic acids with LCO-inducing activities, including p-coumaric, caffeic, and ferulic acids. The induced LCOs caused root hair deformation, and nodule numbers in L. japonicus inoculated with M. japonicum were increased by these phenolic acids. The three phenolic acids listed above induced the expression of the nodA, nodB, and ttsI genes in a strain harboring a multicopy plasmid encoding NodD1, but not that encoding NodD2. The presence of p-coumaric and ferulic acids in the root exudates of L. japonicus was confirmed by UPLC-TQMS, and the induction of ttsI::lacZ in the strain harboring the nodD1 plasmid was detected in the rhizosphere of L. japonicus. Based on these results, we propose that phenolic acids are a novel type of nod gene inducer in L. japonicus–Mesorhizobium symbiosis.

Mutants of Lotus japonicus deficient in flavonoid biosynthesis

Spatiotemporal features of anthocyanin accumulation in a model legume Lotus japonicus (Regel) K.Larsen were elucidated to develop criteria for the genetic analysis of flavonoid biosynthesis. Artificial mutants and wild accessions, with lower anthocyanin accumulation in the stem than the standard wild type (B-129 'Gifu'), were obtained by ethyl methanesulfonate (EMS) mutagenesis and from a collection of wild-grown variants, respectively. The loci responsible for the green stem of the mutants were named as VIRIDICAULIS (VIC). Genetic and chemical analysis identified two loci, namely, VIC1 and VIC2, required for the production of both anthocyanins and proanthocyanidins (condensed tannins), and two loci, namely, VIC3 and VIC4, required for the steps specific to anthocyanin biosynthesis. A mutation in VIC5 significantly reduced the anthocyanin accumulation. These mutants will serve as a useful system for examining the effects of anthocyanins and proanthocyanidins on the interactions with herbivorous pests, pathogenic microorganisms and nitrogen-fixing symbiotic bacteria, Mesorhizobium loti.

Quantitative analysis of seven plant hormones in Lotus japonicus using standard addition method

Plant hormones have been identified to be versatile signaling molecules essential for plant growth, development, and stress response. Their content levels vary depending on the species, and they also change in response to any external stimuli. Thus, simultaneous quantification of multiple plant hormones is required to understand plant physiology. Sensitive and quantitative analysis using liquid chromatography-linked mass spectrometry (LC-MS/MS) has been used in detecting plant hormones; however, quantification without stable isotopes is yet to be established. In this study, we quantified seven representative plant hormones of Lotus japonicus, which is a model legume for standard addition method. Accurate masses for monoisotopic ions of seven phytohormones were determined for high-resolution mass spectrometry (HR-MS). Selected ion monitoring (SIM) mode based on accurate masses was used in detecting phytohormones in the roots, stems, and leaves. Evaluation of matrix effects showed ion suppression ranging from 10.2% to 87.3%. Both stable isotope dilution and standard addition methods were able to detect plant hormones in the roots, stems, and leaves, with no significant differences in using both approaches and thus a standard addition method can be used to quantify phytohormones in L. japonicus. The method will be effective, especially when stable isotopes are not available to correct for matrix effects.

Lotus Accessions Possess Multiple Checkpoints Triggered by Different Type III Secretion System Effectors of the Wide-Host-Range Symbiont Bradyrhizobium elkanii USDA61

Bradyrhizobium elkanii, a rhizobium with a relatively wide host range, possesses a functional type III secretion system (T3SS) that is involved in symbiotic incompatibility against Rj4-genotype soybean (Glycine max) and some accessions of mung bean (Vigna radiata). To expand our knowledge on the T3SS-mediated partner selection mechanism in the symbiotic legume-rhizobia association, we inoculated three Lotus experimental accessions with wild-type and T3SS-mutant strains of B. elkanii USDA61. Different responses were induced by T3SS in a host genotype-dependent manner. Lotus japonicus Gifu inhibited infection; L. burttii allowed infection, but inhibited nodule maturation at the post-infection stage; and L. burttii and L. japonicus MG-20 both displayed a nodule early senescence-like response. By conducting inoculation tests with mutants of previously reported and newly identified effector protein genes of B. elkanii USDA61, we identified NopF as the effector protein triggering the inhibition of infection, and NopM as the effector protein triggering the nodule early senescence–like response. Consistent with these results, the B. elkanii USDA61 gene for NopF introduced into the Lotus symbiont Mesorhizobium japonicum induced infection inhibition in L. japonicus Gifu, but did not induce any response in L. burttii or L. japonicus MG-20. These results suggest that Lotus accessions possess at least three checkpoints to eliminate unfavorable symbionts, including the post-infection stage, by recognizing different T3SS effector proteins at each checkpoint.