Search

The rapid advancement of Industry 4.0 necessitates close collaboration among material research institutions to accelerate the development of novel materials. However, multi-institutional cooperation faces significant challenges in protecting sensitive data, leading to data silos. Additionally, the heterogeneous and non-independent and identically distributed (non-i.i.d.) nature of material data hinders model accuracy and generalization in collaborative computing. In this paper, we introduce the MatSwarm framework, built on swarm learning, which integrates federated learning with blockchain technology. MatSwarm features two key innovations: a swarm transfer learning method with a regularization term to enhance the alignment of local model parameters, and the use of Trusted Execution Environments (TEE) with Intel SGX for heightened security. These advancements significantly enhance accuracy, generalization, and ensure data confidentiality throughout the model training and aggregation processes. Implemented within the National Material Data Management and Services (NMDMS) platform, MatSwarm has successfully aggregated over 14 million material data entries from more than thirty research institutions across China. The framework has demonstrated superior accuracy and generalization compared to models trained independently by individual institutions. Industry 4.0 requires collaboration among material research institutions, but data silos hinder progress. Here the authors present MatSwarm, a swarm-learning framework that integrates secure computing and data sharing in the National Material Data Management and Services (NMDMS) platform. [ABSTRACT FROM AUTHOR]

Bahiagrass ( Paspalum notatum Flugge) is a prime candidate for molecular improvement of turf quality. Its persistence and low input characteristics made it the dominant utility turfgrass along highways in the south-eastern USA. However, the comparatively poor turf quality due to reduced turf density and prolific production of unsightly inflorescences currently limits the widespread use of bahiagrass as residential turf. Alteration of endogenous gibberellin (GA) levels by application of growth regulators or transgenic strategies has modified plant architecture in several crops. GA catabolizing AtGA2ox1 was subcloned under the control of the constitutive maize ubiquitin promoter and Nos 3’UTR. A minimal AtGA2ox1 expression cassette lacking vector backbone sequences was stably introduced into apomictic bahiagrass by biolistic gene transfer as confirmed by Southern blot analysis. Expression of AtGA2ox1 in bahiagrass as indicated by reverse transcription–polymerase chain reaction and Northern blot analysis resulted in a significant reduction of endogenous bioactive GA1 levels compared to wild type. Interestingly, transgenic plants displayed an increased number of vegetative tillers which correlated with the level of AtGA2ox1 expression and enhanced turf density under field conditions. This indicates that GAs contribute to signalling the outgrowth of axillary buds in this perennial grass. Transgenic plants also showed decreased stem length and delayed flowering under controlled environment and field conditions. Consequently, turf quality following weekly mowing was improved in transgenic bahiagrass. Transgene expression and phenotype were transmitted to seed progeny. Argentine bahiagrass produces seeds asexually by apomixis, which reduces the risk of unintended transgene dispersal by pollen and results in uniform progeny. [ABSTRACT FROM AUTHOR]

Bahiagrass ( Paspalum notatum Flugge) is a popular low-input turfgrass in subtropical regions. However, its turf quality and widespread use as residential turf is limited by up to 60-cm-tall seedheads and its open, sparse-looking growth habit. Plant growth retardants (PGRs) are being used in bahiagrass for the suppression of seedheads and leaf growth since a dwarf bahiagrass cultivar is not available and mowing costs are increasing. However, PGRs have to be applied frequently and may result in phytotoxicity. The improvement of turf quality by genetic engineering represents a promising alternative to the application of PGRs. The data presented here indicate that over-expression of the Arabidopsis ATHB16 transcription factor in bahiagrass significantly changes plant architecture of this important low-input turfgrass. All transgenic plants investigated produced significantly more vegetative and fewer reproductive tillers, shorter leaves and shorter tillers. Over-expression of ATHB16 resulted in a proportional reduction of leaf width and leaf length. The formation of seedheads under natural photoperiod was delayed in some transgenic lines for approximately 4 weeks. Total root or shoot biomass and seed set were not compromised in semi-dwarf bahiagrass plants over-expressing ATHB16. Our findings are consistent with the proposed function of ATHB16 as a suppressor of cell expansion and demonstrate its conserved role in grasses with direct practical implications for enhancing turf quality. [ABSTRACT FROM AUTHOR]

To provide resources for barley genomics, 110 981 expressed sequence tags (ESTs) were generated from 22 cDNA libraries representing tissues at various developmental stages. This EST collection corresponds to approximately one-third of the 380 000 publicly available barley ESTs. Clustering and assembly resulted in 14 151 tentative consensi (TCs) and 11 073 singletons, altogether representing 25 224 putatively unique sequences. Of these, 17.5% showed no significant similarity to other barley ESTs present in dbEST. More than 41% of all barley genes are supposed to belong to multigene families and approximately 4% of the barley genes undergo alternative splicing. Based on the functional annotation of the set of unique sequences, the functional category ‘Energy’ was further analysed to reveal tissue- and stage-specific differences in gene expression. Hierarchical clustering of 362 differentially expressed TCs resulted in the identification of seven major clusters. The clusters reflect biochemical pathways predominantly activated in specific tissues and at various developmental stages. During seed germination glycolysis could be identified as the most predominant biochemical pathway. Germination-specific glycolysis is characterized by the coordinated expression of phosphoenolpyruvate carboxylase and phosphoenolpyruvate carboxykinase, whose antagonistic actions possibly regulate the flux of amino acids into protein biosynthesis and gluconeogenesis respectively. The expression of defence-related and antioxidant genes during germination might be controlled by the ethylene-signalling pathway as concluded from the coordinated expression of those genes and the transcription factors (TF) EIN3 and EREBPG. Moreover, because of their predominant expression in germinating seeds, TF of the AP2 and MYB type are presumably major regulators of germination. [ABSTRACT FROM AUTHOR]

The accumulated sequence information of the almost completed rice genome and the transcriptome of other cereals provide an excellent starting point for comparative genome analysis. We performed targeted synteny-based marker saturation for the Rph16 leaf rust resistance locus in barley by extensively exploiting these newly available resources. Out of a collection of over 320,000 public barley ESTs 309 non-redundant candidate syntenic clones have been identified for this region in a two-step in silico selection procedure. For mapping, 54 barley cDNA-clones were selected due to the even distribution of their homologs on a putatively collinear 3-Mb rice BAC contig. Out of these, 97% (30) of the polymorphic markers could be genetically assigned in collinearity to the target region in barley and a set of 11 markers was integrated into an rph16 high-resolution map. Although, the collinear target region of rice does not contain an obvious candidate gene for rph16 the results demonstrate the potential of the presented procedure to efficiently utilize EST resources for synteny-based marker saturation. The systematic genome-wide exploitation of the increasing sequence data resources will strongly improve our current view of genome conservation and likely facilitate a synteny-based isolation of genes conserved across cereal species. [ABSTRACT FROM AUTHOR]