Plant Direct最新文献

Various messenger RNA (mRNA) decay mechanisms play major roles in controlling mRNA quality and quantity in eukaryotic organisms under different conditions. While it is known that the recently discovered co-translational mRNA decay (CTRD), the mechanism that allows mRNAs to be degraded while still being actively translated, is prevalent in yeast, humans, and various angiosperms, the regulation of this decay mechanism is less well studied. Moreover, it is still unclear whether this decay mechanism plays any role in the regulation of specific physiological processes in eukaryotes. Here, by re-analyzing the publicly available polysome profiling or ribosome footprinting and degradome sequencing datasets, we discovered that highly translated mRNAs tend to have lower co-translational decay levels. Based on this finding, we then identified Pelota and Hbs1, the translation-related ribosome rescue factors, as suppressors of co-translational mRNA decay in Arabidopsis. Furthermore, we found that Pelota and Hbs1 null mutants have lower germination rates compared to the wild-type plants, implying that proper regulation of co-translational mRNA decay is essential for normal developmental processes. In total, our study provides further insights into the regulation of CTRD in Arabidopsis and demonstrates that this decay mechanism does play important roles in Arabidopsis physiological processes.

To maximize overall fitness, plants must accurately respond to a host of growth, developmental, and environmental signals throughout their life. Many of these internal and external signals are perceived by the leucine-rich repeat receptor-like kinases, which play roles in regulating growth, development, and immunity. This largest family of receptor kinases in plants can be divided into subfamilies based on the conservation of the kinase domain, which demonstrates that shared evolutionary history often indicates shared molecular function. Here we investigate the evolutionary history of this family across the evolution of 112 plant species. We identify lineage-specific expansions of the malectin-domain containing subfamily LRR subfamily I primarily in the Brassicales and bryophytes. Most other plant lineages instead show a large expansion in LRR subfamily XII, which in Arabidopsis is known to contain key receptors in pathogen perception. This striking asymmetric expansion may reveal a dichotomy in the evolutionary history and adaptation strategies employed by plants. A greater understanding of the evolutionary pressures and adaptation strategies acting on members of this receptor family offers a way to improve functional predictions for orphan receptors and simplify the identification of novel stress-related receptors.

Protein phosphorylation is a dynamic and reversible post-translational modification that regulates a variety of essential biological processes. The regulatory role of phosphorylation in cellular signaling pathways, protein-protein interactions, and enzymatic activities has motivated extensive research efforts to understand its functional implications. Experimental protein phosphorylation data in plants remains limited to a few species, necessitating a scalable and accurate prediction method. Here, we present PhosBoost, a machine-learning approach that leverages protein language models and gradient-boosting trees to predict protein phosphorylation from experimentally derived data. Trained on data obtained from a comprehensive plant phosphorylation database, qPTMplants, we compared the performance of PhosBoost to existing protein phosphorylation prediction methods, PhosphoLingo and DeepPhos. For serine and threonine prediction, PhosBoost achieved higher recall than PhosphoLingo and DeepPhos (.78, .56, and .14, respectively) while maintaining a competitive area under the precision-recall curve (.54, .56, and .42, respectively). PhosphoLingo and DeepPhos failed to predict any tyrosine phosphorylation sites, while PhosBoost achieved a recall score of .6. Despite the precision-recall tradeoff, PhosBoost offers improved performance when recall is prioritized while consistently providing more confident probability scores. A sequence-based pairwise alignment step improved prediction results for all classifiers by effectively increasing the number of inferred positive phosphosites. We provide evidence to show that PhosBoost models are transferable across species and scalable for genome-wide protein phosphorylation predictions. PhosBoost is freely and publicly available on GitHub.

Arabidopsis flowering is dependent on interactions between a component of the florigens FLOWERING LOCUS T (FT) and the basic leucine zipper (bZIP) transcription factor FD. These proteins form a complex that activates the genes required for flowering competence and integrates environmental cues, such as photoperiod and temperature. However, it remains largely unknown how FT and FD are regulated at the protein level. To address this, we created FT transgenic plants that express the N-terminal FLAG-tagged FT fusion protein under the control of its own promoter in ft mutant backgrounds. FT transgenic plants complemented the delayed flowering of the ft mutant and exhibited similar FT expression patterns to wild-type Col-0 plants in response to changes in photoperiod and temperature. Similarly, we generated FD transgenic plants in fd mutant backgrounds that express the N-terminal MYC-tagged FD fusion protein under the FD promoter, rescuing the late flowering phenotypes in the fd mutant. Using these transgenic plants, we investigated how temperature regulates the expression of FT and FD proteins. Temperature-dependent changes in FT and FD protein levels are primarily regulated at the transcript level, but protein-level temperature effects have also been observed to some extent. In addition, our examination of the expression patterns of FT and FD in different tissues revealed that similar to the spatial expression pattern of FT, FD mRNA was expressed in both the leaf and shoot apex, but FD protein was only detected in the apex, suggesting a regulatory mechanism that restricts FD protein expression in the leaf during the vegetative growth phase. These transgenic plants provided a valuable platform for investigating the role of the FT-FD module in flowering time regulation.