Explaining the diversity of mating systems and floral forms in flowering plants is a long-standing concern of evolutionary biologists. One topic of interest is the conditions under which self-pollination can interfere with seed set for flowering plants with a self-incompatibility system. We investigated the effect of self-pollen interference for wild radish, Raphanus raphanistrum, which has sporophytic self-incompatibility. We performed pollinations and determined seed set for plants grown in the greenhouse, using pollen mixtures representing either self- with outcross-pollen or outcross-pollen alone. Stigmas were collected for a subset of pollinated flowers to determine the number of pollen grains applied. Average seed set for the self/cross (5.13 seeds/pollination) and cross treatments (5.09 seeds/pollination) did not differ significantly. Stigmatic pollen loads averaged around 700 grains, an amount close to observed natural pollen loads on R. raphanistrum. We concluded that for R. raphanistrum in natural populations, self-pollen is unlikely to interfere with outcross-pollen success. This study is the first to investigate effects of self-pollen interference on seed set for a homomorphic species with sporophytic self-incompatibility where rejection occurs at the stigmatic surface.
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http://dx.doi.org/10.3732/ajb.94.5.896 | DOI Listing |
J Am Chem Soc
January 2025
Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, and Department of Chemistry, Zhejiang University, Hangzhou 310058, China.
Here, we demonstrate that monocrystalline (free of stacking faults) wurtzite CdSe nanocrystals with monodisperse size, shape (dots, rods, or wires), and facet structure are synthesized in both strongly confined and weakly confined size regimes. Considering the unique -axis of wurtzite CdSe, we introduce a new type of neutral ligand (e.g.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Psychiatry & Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Despite the widespread use of the Research Domain Criteria (RDoC) framework in psychiatry and neuroscience, recent studies suggest that the RDoC is insufficiently specific or excessively broad relative to the underlying brain circuitry it seeks to elucidate. To address these concerns, we employ a latent variable approach using bifactor analysis. We examine 84 whole-brain task-based fMRI (tfMRI) activation maps from 19 studies with 6192 participants.
View Article and Find Full Text PDFNat Commun
January 2025
School of Integrative Plant Science, Plant Biology Section, Cornell University, Ithaca, NY, USA.
Zoologists have adduced morphological convergence among embryonic stages of closely related taxa, which has been called the phylotypic stage of embryogenesis. Transcriptomic analyzes reveal an hourglass pattern of gene expression during plant and animal embryogenesis, characterized by the accumulation of evolutionarily older and conserved transcripts during mid-embryogenesis, whereas younger less-conserved transcripts predominate at earlier and later embryonic stages. In contrast, comparisons of embryonic gene expression among different animal phyla describe an inverse hourglass pattern, where expression is correlated during early and late stages but not during mid-embryo development.
View Article and Find Full Text PDFPlant Mol Biol
January 2025
Department of Plant Pathology, University of Agricultural Sciences, Gandhi Krishi Vignana Kendra (GKVK), Bengaluru, India.
In a wake of shifting climatic scenarios, plants are frequently forced to undergo a spectrum of abiotic and biotic stresses at various stages of growth, many of which have a detrimental effect on production and survival. Naturally, microbial consortia partner up to boost plant growth and constitute a diversified ecosystem against abiotic stresses. Despite this, little is known pertaining to the interplay between endophytic microbes which release phytohormones and stimulate plant development in stressed environments.
View Article and Find Full Text PDFSci Rep
January 2025
College of Smart City and Transportation, Southwest Jiaotong University, Chengdu, Sichuan, China.
Fatigue driving is one of the potential factors threatening road safety, and monitoring drivers' mental state through electroencephalography (EEG) can effectively prevent such risks. In this paper, a new model, DE-GFRJMCMC, is proposed for selecting critical channels and optimal feature subsets from EEG data to improve the accuracy of fatigue driving recognition. The model is validated on the SEED-VIG dataset.
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