The Impact of Photosynthetic Characteristics and Metabolomics on the Fatty Acid Biosynthesis in Tea Seeds.

The synthesis of tea fatty acids plays a crucial role in determining the oil content of tea seeds and selecting tea tree varieties suitable for harvesting both leaves and fruits. However, there is limited research on fatty acid synthesis in tea trees, and the precise mechanisms influencing tea seed oil content remain elusive. To reveal the fatty acid biosynthesis mechanism, we conducted a photosynthetic characteristic and targeted metabolomics analysis in comparison between Jincha 2 and Wuniuzao cultivars. Our findings revealed that Jincha 2 exhibited significantly higher net photosynthetic rates (Pn), stomatal conductance (Gs), and transpiration rate (Tr) compared with Wuniuzao, indicating the superior photosynthetic capabilities of Jincha 2. Totally, we identified 94 metabolites with significant changes, including key hormone regulators such as gibberellin A1 (GA1) and indole 3-acetic acid (IAA). Additionally, linolenic acid, methyl dihydrojasmonate, and methylthiobutyric acid, precursors required for fatty acid synthesis, were significantly more abundant in Jincha 2 compared with Wuniuzao. In summary, our research suggests that photosynthetic rates and metabolites contribute to the increased yield, fatty acid synthesis, and oil content observed in Jincha 2 when compared with Wuniuzao.

The Chimonanthus salicifolius genome provides insight into magnoliid evolution and flavonoid biosynthesis.

Chimonanthus salicifolius, a member of the Calycanthaceae of magnoliids, is one of the most famous medicinal plants in Eastern China. Here, we report a chromosome-level genome assembly of C. salicifolius, comprising 820.1 Mb of genomic sequence with a contig N50 of 2.3 Mb and containing 36 651 annotated protein-coding genes. Phylogenetic analyses revealed that magnoliids were sister to the eudicots. Two rounds of ancient whole-genome duplication were inferred in the C. salicifolious genome. One is shared by Calycanthaceae after its divergence with Lauraceae, and the other is in the ancestry of Magnoliales and Laurales. Notably, long genes with > 20 kb in length were much more prevalent in the magnoliid genomes compared with other angiosperms, which could be caused by the length expansion of introns inserted by transposon elements. Homologous genes within the flavonoid pathway for C. salicifolius were identified, and correlation of the gene expression and the contents of flavonoid metabolites revealed potential critical genes involved in flavonoids biosynthesis. This study not only provides an additional whole-genome sequence from the magnoliids, but also opens the door to functional genomic research and molecular breeding of C. salicifolius.

Statistical Learning and Spelling: Older Prephonological Spellers Produce More Wordlike Spellings Than Younger Prephonological Spellers.

The authors analyzed the spellings of 179 U.S. children (age = 3 years, 2 months-5 years, 6 months) who were prephonological spellers, in that they wrote using letters that did not reflect the phonemes in the target items. Supporting the idea that children use their statistical learning skills to learn about the outer form of writing before they begin to spell phonologically, older prephonological spellers showed more knowledge about English letter patterns than did younger prephonological spellers. The written productions of older prephonological spellers were rated by adults as more similar to English words than were the productions of younger prephonological spellers. The older children s spellings were also more wordlike on several objective measures, including length, variability of letters within words, and digram frequency.

Multimodal surface matching with higher-order smoothness constraints.

In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitivity and spatial localisation of group studies, and cortical surface-based alignment has generally been accepted to be superior to volume-based approaches at aligning cortical areas. However, human subjects have considerable variation in cortical folding, and in the location of functional areas relative to these folds. This makes alignment of cortical areas a challenging problem. The Multimodal Surface Matching (MSM) tool is a flexible, spherical registration approach that enables accurate registration of surfaces based on a variety of different features. Using MSM, we have previously shown that driving cross-subject surface alignment, using areal features, such as resting state-networks and myelin maps, improves group task fMRI statistics and map sharpness. However, the initial implementation of MSM's regularisation function did not penalize all forms of surface distortion evenly. In some cases, this allowed peak distortions to exceed neurobiologically plausible limits, unless regularisation strength was increased to a level which prevented the algorithm from fully maximizing surface alignment. Here we propose and implement a new regularisation penalty, derived from physically relevant equations of strain (deformation) energy, and demonstrate that its use leads to improved and more robust alignment of multimodal imaging data. In addition, since spherical warps incorporate projection distortions that are unavoidable when mapping from a convoluted cortical surface to the sphere, we also propose constraints that enforce smooth deformation of cortical anatomies. We test the impact of this approach for longitudinal modelling of cortical development for neonates (born between 31 and 43 weeks of post-menstrual age) and demonstrate that the proposed method increases the biological interpretability of the distortion fields and improves the statistical significance of population-based analysis relative to other spherical methods.

Engaging and disengaging recurrent inhibition coincides with sensing and unsensing of a sensory stimulus.

Even simple sensory stimuli evoke neural responses that are dynamic and complex. Are the temporally patterned neural activities important for controlling the behavioral output? Here, we investigated this issue. Our results reveal that in the insect antennal lobe, due to circuit interactions, distinct neural ensembles are activated during and immediately following the termination of every odorant. Such non-overlapping response patterns are not observed even when the stimulus intensity or identities were changed. In addition, we find that ON and OFF ensemble neural activities differ in their ability to recruit recurrent inhibition, entrain field-potential oscillations and more importantly in their relevance to behaviour (initiate versus reset conditioned responses). Notably, we find that a strikingly similar strategy is also used for encoding sound onsets and offsets in the marmoset auditory cortex. In sum, our results suggest a general approach where recurrent inhibition is associated with stimulus 'recognition' and 'derecognition'.

Expression pattern and subcellular localization of the ovate protein family in rice.

The Arabidopsis ovate family proteins (AtOFPs) have been shown to function as transcriptional repressors and regulate multiple aspects of plant growth and development. There are 31 genes that encode the full-length OVATE-domain containing proteins in the rice genome. In this study, the gene structure analysis revealed that OsOFPs are intron poor. Phylogenetic analysis suggested that OVATE proteins from rice, Arabidopsis and tomato can be divided into 4 groups (I-IV). Real-time quantitative polymerase chain reaction (RT-qPCR) analysis identified OsOFPs with different tissue-specific expression patterns at all stages of development in the rice plant. Interestingly, nearly half of the total number of OsOFP family was more highly expressed during the seed developmental stage. In addition, seed developmental cis-elements were found in the promoter region of the OsOFPs. Subcellular localization analysis revealed that YFP-OsOFP fusion proteins predominantly localized in the nucleus. Our results suggest that OsOFPs may act as regulatory proteins and play pivotal roles in the growth and development of rice.