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International audience; Lateral root organogenesis is a key process in the development of a plant’s root system and its adaptation to the environment. During lateral root formation, an early phase of cell proliferation first produces a four-cell-layered primordium, and only from this stage onwards is a root meristem-like structure, expressing root stem cell niche marker genes, being established in the developing organ. Previous studies reported that the gene regulatory network controlling lateral root formation is organized into two subnetworks whose mutual inhibition may contribute to organ patterning. PUCHI encodes an AP2/ERF transcription factor expressed early during lateral root primordium development and required for correct lateral root formation. To dissect the molecular events occurring during this early phase, we generated time-series transcriptomic datasets profiling lateral root development in puchi-1 mutants and wild types. Transcriptomic and reporter analyses revealed that meristem-related genes were expressed ectopically at early stages of lateral root formation in puchi-1 mutants. We conclude that, consistent with the inhibition of genetic modules contributing to lateral root development, PUCHI represses ectopic establishment of meristematic cell identities at early stages of organ development. These findings shed light on gene network properties that orchestrate correct timing and patterning during lateral root formation.

The spermatophyte root system is composed of a primary root that develops from an embryonically formed root meristem, and of different post-embryonic root types: lateral and adventitious roots. Adventitious roots, arising from the stem of the plants, are the main component of the mature root system of many plants. Their development can also be induced in response to adverse environmental conditions or stresses. Here, in this review, we report on the morphological and functional diversity of adventitious roots and their origin. The hormonal and molecular regulation of the constitutive and inducible adventitious root initiation and development is discussed. Recent data confirmed the crucial role of the auxin/cytokinin balance in adventitious rooting. Nevertheless, other hormones must be considered. At the genetic level, adventitious root formation integrates the transduction of external signals, as well as a core auxin-regulated developmental pathway that is shared with lateral root formation. The knowledge acquired from adventitious root development opens new perspectives to improve micropropagation by cutting in recalcitrant species, root system architecture of crops such as cereals, and to understand how plants adapted during evolution to the terrestrial environment by producing different post-embryonic root types.

Figures S1, S2, S3 and Table S1. Growth inhibition of 10 representative accessions in response to JA. Figure S1. for histogram of distribution of each trait. Figure S2. presents the variation of 5 traits between 10 representative’s accessions in non-treated and 5 μM JA treated condition. Figure S3. illustrated the percentage reduction of each trait after JA treatment compare to the non-treatment. Table S1. expressed the heritability coefficient of each traits. (DOCX 969 kb)

Rice is one of the most important food crops worldwide, as well as the model plant in molecular studies on the cereals group. Many different biotic and abiotic agents often limit rice production and threaten food security. Understanding the molecular mechanism, by which the rice plant reacts and resists these constraints, is the key to improving rice production to meet the demand of an increasing population. The phytohormone jasmonic acid (JA) and related compounds, collectively called jasmonates, are key regulators in plant growth and development. They are also one of the central players in plant immunity against biotic attacks and adaptation to unfavorable environmental conditions. Here, we review the most recent knowledge about jasmonates signaling in the rice crop model. We highlight the functions of jasmonates signaling in many adaptive responses, and also in rice growth and development processes. We also draw special attention to different signaling modules that are controlled by jasmonates in rice.

Figures S4, S5 and S6. GWAS for the effects of exogenous JA on RTL, SHW and TTW. Manhattan plot (A) and Quantile-quantile plot (B) for RTL (Figure S4), SHW (Figure S5) and TTW (Figure S6) in a whole (S.x.1) panel or Indica (S.x.2) or Japonica (S.x.3) subpanel. The blue line indicates the suggestive significance threshold, p = 3.0E-04. Black rectangle represent common significant SNPs within panels. (DOCX 1060 kb)

Table S2. List of 155 Vietnamese rice accessions used in this study with information on their gene bank number, their sub-populations groups as well as their ecosystems. (DOCX 52 kb)

Background Due to their sessile life style, plant survival is dependent on the ability to build up fast and highly adapted responses to environmental stresses by modulating defense response and organ growth. The phytohormone jasmonate plays an essential role in regulating these plant responses to stress. Results To assess variation of plant growth responses and identify genetic determinants associated to JA treatment, we conducted a genome-wide association study (GWAS) using an original panel of Vietnamese rice accessions. The phenotyping results showed a high natural genetic variability of the 155 tested rice accessions in response to JA for shoot and root growth. The level of growth inhibition by JA is different according to the rice varieties tested. We conducted genome-wide association study and identified 28 significant associations for root length (RTL), shoot length (SHL), root weight (RTW), shoot weight (SHW) and total weight (TTW) in response to JA treatment. Three common QTLs were found for RTL, RTW and SHL. Among a list of 560 candidate genes found to co-locate with the QTLs, a transcriptome analysis from public database for the JA response allows us to identify 232 regulated genes including several JA-responsive transcription factors known to play a role in stress response. Conclusion Our genome-wide association study shows that common and specific genetic elements are associated with inhibition of shoot and root growth under JA treatment suggesting the involvement of a complex JA-dependent genetic control of rice growth inhibition at the whole plant level. Besides, numerous candidate genes associated to stress and JA response are co-located with the association loci, providing useful information for future studies on genetics and breeding to optimize the growth-defense trade-off in rice.

Figure S7. Haplotype analysis for qTTW5. (A) Linkage Disequilibrium heatmap in the peak region of association analysis GWAS for qRTW3. Significant SNP indicated as blue star in the photo and the pattern pairwise r2 of the associated SNPs in the QTL indicated with color code. Red color means SNPs are strongly associated to each other and yellow color means no association. The Linkage Disequilibrium heat map was created using the “LDheatmap” package in R (B) Population architecture of accessions based on the allelic combination significant SNPs in each QTL. Population architechture image is created by PopArt1.7 software . (C) Effect of allelic combination of 2 main haplotypes of each QTL on the value of interested traits. Number of accessions for each haplotype is indicated as (n). Welch Two Sample t-test was used to assess the differences between two haplotypes.*, **, *** indicated significant difference at p value

Crown roots (CRs) are essential components of the rice root system. Several genes involved in CR initiation or development have been identified but our knowledge about how they organize to form a gene regulatory network (GRN) is still limited. To characterize the regulatory cascades acting during CR formation, we used a systems biology approach to infer the GRN controlling CR formation downstream of CROWN ROOTLESS 1 (CRL1), coding for an ASL (asymmetric leaves-2-like)/LBD (LOB domain) transcription factor necessary for CR initiation. A time-series transcriptomic dataset was generated after synchronized induction of CR formation by dexamethasone-mediated expression of CRL1 expression in a crl1 mutant background. This time series revealed three different genome expression phases during the early steps of CR formation and was further exploited to infer a GRN using a dedicated algorithm. The predicted GRN was confronted with experimental data and 72% of the inferred links were validated. Interestingly, this network revealed a regulatory cascade linking CRL1 to other genes involved in CR initiation, root meristem specification and maintenance, such as QUIESCENT-CENTER-SPECIFIC HOMEOBOX, and in auxin signalling. This predicted regulatory cascade was validated in vivo using transient activation assays. Thus, the CRL1-dependant GRN reflects major gene regulation events at play during CR formation and constitutes a valuable source of discovery to better understand this developmental process.

Actinorhizal plants are able to establish a symbiotic relationship with Frankia bacteria leading to the formation of root nodules. The symbiotic interaction starts with the exchange of symbiotic signals in the soil between the plant and the bacteria. This molecular dialog involves signaling molecules that are responsible for the specific recognition of the plant host and its endosymbiont. Here we studied two factors potentially involved in signaling between Frankia casuarinae and its actinorhizal host Casuarina glauca: (1) the Root Hair Deforming Factor (CgRHDF) detected using a test based on the characteristic deformation of C. glauca root hairs inoculated with F. casuarinae and (2) a NIN activating factor (CgNINA) which is able to activate the expression of CgNIN, a symbiotic gene expressed during preinfection stages of root hair development. We showed that CgRHDF and CgNINA corresponded to small thermoresistant molecules. Both factors were also hydrophilic and resistant to a chitinase digestion indicating structural differences from rhizobial Nod factors (NFs) or mycorrhizal Myc-LCOs. We also investigated the presence of CgNINA and CgRHDF in 16 Frankia strains representative of Frankia diversity. High levels of root hair deformation (RHD) and activation of ProCgNIN were detected for Casuarina-infective strains from clade Ic and closely related strains from clade Ia unable to nodulate C. glauca. Lower levels were present for distantly related strains belonging to clade III. No CgRHDF or CgNINA could be detected for Frankia coriariae (Clade II) or for uninfective strains from clade IV.

Background: Soil salinization is a worldwide problem that is intensifying because of the effects of climate change. An effective method for the reclamation of salt-affected soils involves initiating plant succession using fast growing, nitrogen fixing actinorhizal trees such as the Casuarina. The salt tolerance of Casuarina is enhanced by the nitrogen-fixing symbiosis that they form with the actinobacterium Frankia. Identification and molecular characterization of salt-tolerant Casuarina species and associated Frankia is imperative for the successful utilization of Casuarina trees in saline soil reclamation efforts. In this study, salt-tolerant and salt-sensitive Casuarina associated Frankia strains were identified and comparative genomics, transcriptome profiling, and proteomics were employed to elucidate the molecular mechanisms of salt and osmotic stress tolerance. Results: Salt-tolerant Frankia strains (CcI6 and Allo2) that could withstand up to 1000 mM NaCl and a salt-sensitive Frankia strain (CcI3) which could withstand only up to 475 mM NaCl were identified. The remaining isolates had intermediate levels of salt tolerance with MIC values ranging from 650 mM to 750 mM. Comparative genomic analysis showed that all of the Frankia isolates from Casuarina belonged to the same species (Frankia casuarinae). Pangenome analysis revealed a high abundance of singletons among all Casuarina isolates. The two salt-tolerant strains contained 153 shared single copy genes (most of which code for hypothetical proteins) that were not found in the salt-sensitive(CcI3) and moderately salttolerant (CeD) strains. RNA-seq analysis of one of the two salt-tolerant strains (Frankia sp. strain CcI6) revealed hundreds of genes differentially expressed under salt and/or osmotic stress. Among the 153 genes, 7 and 7 were responsive to salt and osmotic stress, respectively. Proteomic profiling confirmed the transcriptome results and identified 19 and 8 salt and/or osmotic stress-responsive proteins in the salt-tolerant (CcI6) and the salt-sensitive (CcI3) strains, respectively. Conclusion: Genetic differences between salt-tolerant and salt-sensitive Frankia strains isolated from Casuarina were identified. Transcriptome and proteome profiling of a salt-tolerant strain was used to determine molecular differences correlated with differential salt-tolerance and several candidate genes were identified. Mechanisms involving transcriptional and translational regulation, cell envelop remodeling, and previously uncharacterized proteins appear to be important for salt tolerance. Physiological and mutational analyses will further shed light on the molecular mechanism of salt tolerance in Casuarina associated Frankia isolates.

Two-dimensional polyacrylamide gel electrophoresis (PAGE) analysis of Frankia sp. strain Allo2 under control (no stress) conditions (A), 200 mM NaCl (B), and 200 mM sucrose (C). Red arrows indicate that proteins are up-regulated relative to the control, while yellow arrows indicate down regulated proteins relative to the control. The corresponding number spots were in-gel digested with trypsin and analyzed by liquid chromatography-mass spectrometry (LC-MS) and LC-MS/MS for protein identification. (PPTX 653 kb)

Frankia sp. strain Allo2 proteins differentially expressed under stress conditions. The identified proteins were classified by COG functional categories. Up-regulated proteins are shown by the upward pointing arrow (↑) whereas down-regulated proteins are shown by the downward pointing arrow (↓). No change (N/C) indicates that a spot was not picked for that particular condition because it showed similar intensity as the control. (DOCX 15 kb)