Integrative transcriptome analysis uncovers common components containing CPS2 regulated by maize lncRNA GARR2 in gibberellin response.

MAIN CONCLUSION: The combined transcriptome outcome provides an important clue to the regulatory cascade centering on lncRNA GARR2 and CPS2 gene in GA response. Long non-coding RNAs (lncRNAs) serve as regulatory components in transcriptional hierarchy governing multiple aspects of biological processes. Dissecting regulatory mechanisms underpinning tetracyclic diterpenoid gibberellin (GA) cascade holds both theoretical and applied significance. However, roles of lncRNAs in transcriptional modulation of GA pathway remain largely elusive. Gypsy retrotransposon-derived GIBBERELLIN RESPONSIVE lncRNA2 (GARR2) has been reported as GA-responsive maize lncRNA. Here a novel GARR2-edited line garr2-1 was identified, characteristic of GA-induced phenotype of increased seedling height and elongated leaf sheath. Transcriptome analysis indicated that transcriptional abundance of five genes [ent-copalyl diphosphate synthase2 (CPS2), ent-kaurene synthase4 (KS4), ent-kaurene synthase6 (KS6), ent-kaurene oxidase2 (KO2), and ent-kaurenoic acid oxidase1/Dwarf3 (KAO1/D3)] was elevated in garr2-1 for early steps of GA biosynthesis. Five GA biosynthetic genes as hub regulators were interlaced to shape regulatory network of GA response. Different transcriptome resources were integrated to discover common differentially expressed genes (DEGs) in the independent GARR2-edited lines GARR2KO and garr2-1. A total of 320 common DEGs were retrieved. These common DEGs were enriched in diterpenoid biosynthetic pathway. Integrative transcriptome analysis revealed the common CPS2 encoding the CPS enzyme that catalyzes the conversion of the precursor trans-geranylgeranyl diphosphate to ent-copalyl diphosphate. The up-regulated CPS2 supported the GA-induced phenotype of slender seedlings observed in the independent GARR2-edited lines GARR2KO and garr2-1. Our integrative transcriptome analysis uncovers common components of the GA pathway regulated by lncRNA GARR2. These common components, especially for the GA biosynthetic gene CPS2, provide a valuable resource for further delineating the underlying mechanisms of lncRNA GARR2 in GA response.

Sugar transporter ZmSWEET1b is responsible for assimilate allocation and salt stress response in maize.

Sugar efflux transporter SWEET family is involved in multiple biological processes, from nectar secretion, pollen fertility to seed filling. Although roles of SWEETs in abiotic stress adaption have been revealed mainly in reference organism Arabidopsis, cereal crops SWEETs responses to abiotic stimulation remain largely elusive. Here, we report the characterization of maize SWEET family member ZmSWEET1b, with emphasis on its response to salinity stress. ZmSWEET1b is a canonical sugar transporter, characteristic of seven transmembrane helices and plasma membrane localization. ZmSWEET1b and its rice ortholog OsSWEET1b in phylogenetic clade I underwent convergent selection during evolution. Two independent knockout lines were created by the CRISPR/Cas9 method to functionally characterized ZmSWEET1b. Sucrose and fructose contents are significantly decreased in ZmSWEET1b knockout lines. Mature leaves of ZmSWEET1b-edited lines exhibit chlorosis, reminiscent of senescence-like phenotype. Ears and seeds of ZmSWEET1b knockout lines are small. Upon salinity treatment, ZmSWEET1b-edited lines become more wilted. Transcriptional abundance of genes for Na+ efflux from roots to the rhizosphere, including ZmSOS1, ZmH+-ATPASE 2, and ZmH+-ATPASE 8, is decreased in salt-treated ZmSWEET1b knockout lines. These findings indicate that convergently selected sugar transporter ZmSWEET1b is important for maize plant development and responses to salt stress. The manipulation of ZmSWEET1b may represent a feasible way forward in the breeding of salinity tolerant ideotypes through the optimization of assimilate allocation.

Visual-Preserving Mesh Repair.

Mesh repair is a long-standing challenge in computer graphics and related fields. Converting defective meshes into watertight manifold meshes can greatly benefit downstream applications such as geometric processing, simulation, fabrication, learning, and synthesis. In this work, by assuming the model is visually correct, we first introduce three visual measures for visibility, orientation, and openness, based on ray-tracing. We then present a novel mesh repair framework incorporating visual measures with several critical steps, i.e., open surface closing, face reorientation, and global optimization, to effectively repair meshes with defects (e.g., gaps, holes, self-intersections, degenerate elements, and inconsistent orientations) and preserve visual appearances. Our method reduces unnecessary mesh complexity without compromising geometric accuracy or visual quality while preserving input attributes such as UV coordinates for rendering. We evaluate our approach on hundreds of models randomly selected from ShapeNet and Thingi10K, demonstrating its effectiveness and robustness compared to existing approaches.