Conserved genomic context provides critical information for comparative evolutionary analysis. With the increase in numbers of sequenced plant genomes, synteny analysis can provide new insights into gene family evolution. Here, we exploit a network analysis approach to organize and interpret massive pairwise syntenic relationships. Specifically, we analyzed synteny networks of the MADS-box transcription factor gene family using 51 completed plant genomes. In combination with phylogenetic profiling, several novel evolutionary patterns were inferred and visualized from synteny network clusters. We found lineage-specific clusters that derive from transposition events for the regulators of floral development (APETALA3 and PI) and flowering time (FLC) in the Brassicales and for the regulators of root development (AGL17) in Poales. We also identified two large gene clusters that jointly encompass many key phenotypic regulatory Type II MADS-box gene clades (SEP1, SQUA, TM8, SEP3, FLC, AGL6, and TM3). Gene clustering and gene trees support the idea that these genes are derived from an ancient tandem gene duplication that likely predates the radiation of the seed plants and then expanded by subsequent polyploidy events. We also identified angiosperm-wide conservation of synteny of several other less studied clades. Combined, these findings provide new hypotheses for the genomic origins, biological conservation, and divergence of MADS-box gene family members.
The Al-resistance transcription factor STOP1 is mono-SUMOylated at K40, K212, or K395 sites and deSUMOylated by the SUMO protease ESD4, which is involved in the
Summary: The ubiquitin‐like modifier (UBL) SUMO (Small Ubiquitin‐Like Modifier) regulates protein function. Structural rather than sequence homology typifies UBL families. However, individual UBL types, such as SUMO, show remarkable sequence conservation. Selection pressure also operates at the SUMO gene copy number, as increased SUMO levels activate immunity and alter flowering time in Arabidopsis. We show how, despite this selection pressure, the SUMO family has diversified into eight paralogues in Arabidopsis. Relationships between the paralogues were investigated using genome collinearity and gene tree analysis. We show that palaeopolyploidy followed by tandem duplications allowed expansion and then diversification of the SUMO genes. For example, Arabidopsis SUMO5 evolved from the pan‐eudicot palaeohexaploidy event (gamma), which yielded three SUMO copies. Two gamma copies were preserved as archetype SUMOs, suggesting subfunctionalization, whereas the third copy served as a hotspot for SUMO diversification. The Brassicaceae‐specific alpha duplication then caused the duplication of one archetype gamma copy, which, by subfunctionalization, allowed the retention of both SUMO1 and SUMO2. The other archetype gamma copy was simultaneously pseudogenized (SUMO4/6). A tandem duplication of SUMO2 subsequently yielded SUMO3 in the Brassicaceae crown group. SUMO3 potentially neofunctionalized in Arabidopsis, but it is lost in many Brassicaceae. Our advanced methodology allows the study of the birth and fixation of other paralogues in plants.
Increased ambient temperature is inhibitory to plant immunity including auto-immunity. SNC1-dependent auto-immunity is, for example, fully suppressed at 28°C. We found that the Arabidopsis sumoylation mutant siz1 displays SNC1-dependent auto-immunity at 22°C but also at 28°C, which was EDS1 dependent at both temperatures. This siz1 auto-immune phenotype provided enhanced resistance to Pseudomonas at both temperatures. Moreover, the rosette size of siz1 recovered only weakly at 28°C, while this temperature fully rescues the growth defects of other SNC1-dependent auto-immune mutants. This thermo-insensitivity of siz1 correlated with a compromised thermosensory growth response, which was independent of the immune regulators PAD4 or SNC1. Our data reveal that this high temperature induced growth response strongly depends on COP1, while SIZ1 controls the amplitude of this growth response. This latter notion is supported by transcriptomics data, i.e. SIZ1 controls the amplitude and timing of high temperature transcriptional changes including a subset of the PIF4/BZR1 gene targets. Combined our data signify that SIZ1 suppresses an SNC1-dependent resistance response at both normal and high temperatures. At the same time, SIZ1 amplifies the dark and high temperature growth response, likely via COP1 and upstream of gene regulation by PIF4 and BRZ1. Ambient temperature is a major actor in plant immunity and in growth regulation. Foremost, high temperature (>27°C) is known to block plant defence responses. High temperature also alters the plant morphology by inducing elongation growth, which facilitates plant ‘cooling’. This process is called thermomorphogenesis. Importantly, the SUMO E3 ligase SIZ1 suppresses plant immunity at normal conditions (22°C), but its role in immunity at high temperature was unknown. SIZ1 was recently shown to sumoylate and activate the ubiquitin E3 ligase COP1, a key player in thermomorphogenesis affecting the accumulation and/or stability of key transcription factors for this process (PIF4 and HY5). At high temperature PIF4 suppresses SNC1-dependent growth defects and auto-immunity for the snc1-1 mutant. We report that part of the SNC1-dependent auto-immune response is retained and activated in the siz1 mutant at high temperature resulting in enhanced resistance to Pseudomonas. In addition, we find that SIZ1 controls the thermomorphogenesis response and it affects expression of a substantial subset of PIF4 and BZR1 gene targets in response to high temperature. Our data imply that SIZ1 acts upstream of the PIF4/BZR1 hub. Combined the data highlight that SIZ1 has a dual role in the trade-off between SNC1-dependent immunity and growth at elevated temperature, where the latter aspect potentially runs via COP1.
In Arabidopsis more than 400 proteins have been identified as SUMO targets, both in vivo and in vitro. Among others, transcription factors (TFs) are common targets for SUMO conjugation. Here we aimed to exhaustively screen for TFs that interact with the SUMO machinery using an arrayed yeast two-hybrid library containing more than 1,100 TFs. We identified 76 interactors that foremost interact with the SUMO conjugation enzyme SCE1 and/or the SUMO E3 ligase SIZ1. These interactors belong to various TF families, which control a wide range of processes in plant development and stress signaling. Amongst these interactors, the TCP family was overrepresented with several TCPs interacting with different proteins of the SUMO conjugation cycle. For a subset of these TCPs we confirmed that the catalytic site of SCE1 is essential for this interaction. In agreement, TCP1, TCP3, TCP8, TCP14, and TCP15 were readily SUMO modified in an E. coli sumoylation assay. Strikingly, these TCP-SCE1 interactions were found to redistribute these TCPs into nuclear foci/speckles, suggesting that these TCP foci represent sites for SUMO (conjugation) activity.