Molecular genetics has been successful in identifying leaf- size regulators such as transcription factors, phytohormones, and signal molecules. Among them, a ROTUNDIFOLIA4-LIKE/DEVIL (RTFL/DVL) family of Arabidopsis, genes encoding peptides with no secretion-signal sequence, is unique in that their overexpressors have a reduced number of leaf cells specifically along the proximodistal axis. However, because the RTFL/DVL lack any obvious homology with functionally identified domains, and because of genetic redundancy among RTFL/DVL, their molecular and developmental roles are unclear. In this study we focused on one member in the family, ROTUNDIFOLIA4 (ROT4), and identified the core functional region within it and we found no proteolytic processing in planta. Developmental analysis of leaf primordia revealed that ROT4 overexpression reduces the meristematic zone size within the leaf blade. Moreover, induced local overexpression demonstrated that ROT4 acts as a regulator of the leaf shape via a change in positional cue along the longitudinal axis. Similarly, ROT4 overexpression results in a protrusion of the main inflorescence stem, again indicating a change in positional cue along the longitudinal axis. These results suggest that ROT4 affects the positional cue and cell proliferation along the body axis.
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http://dx.doi.org/10.1093/pcp/pcq138 | DOI Listing |
PLoS One
January 2025
Graduate School of Humanities and Social Sciences, Kyoto University of Advanced Science, Kyoto, Japan.
The joint Simon effect refers to inhibitory responses to spatially competing stimuli during a complementary task. This effect has been considered to be influenced by the social factors of a partner: sharing stimulus-action representation. According to this account, virtual interactions through their avatars would produce the joint Simon effect even when the partner did not physically exist in the same space because the avatars are intentional agents.
View Article and Find Full Text PDFBrain Sci
December 2024
SensoriMotorLab, Department of Ophthalmology-University of Lausanne, Jules Gonin Eye Hospital-Fondation Asile des Aveugles, 1004 Lausanne, Switzerland.
Many daily activities depend on visual inputs to improve motor accuracy and minimize errors. Reaching tasks present an ecological framework for examining these visuomotor interactions, but our comprehension of how different amounts of visual input affect motor outputs is still limited. The present study fills this gap, exploring how hand-related visual bias affects motor performance in a reaching task (to draw a line between two dots).
View Article and Find Full Text PDFPsychol Res
January 2025
Institute of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria.
The present study investigated the role of inhibition in peripheral cueing by nonpredictive cues. Based on past findings, we investigated the possibility that inhibition of learned irrelevant cue colors is typical of short cue-target intervals, with more competition for attention capture between cue versus target. In line with the expectation, in a modified contingent-capture protocol, with short cue-target intervals, we found same-location costs (SLCs) - that is, disadvantages for validly cued targets (cue = target position) compared to invalidly cued targets (cue ≠ target position) with consistently colored non-matching cues.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
Research Centre of Mathematics, University of Minho, Guimarães, Portugal.
Continuous bump attractor networks (CANs) have been widely used in the past to explain the phenomenology of working memory (WM) tasks in which continuous-valued information has to be maintained to guide future behavior. Standard CAN models suffer from two major limitations: the stereotyped shape of the bump attractor does not reflect differences in the representational quality of WM items and the recurrent connections within the network require a biologically unrealistic level of fine tuning. We address both challenges in a two-dimensional (2D) network model formalized by two coupled neural field equations of Amari type.
View Article and Find Full Text PDFJ Exp Psychol Gen
December 2024
Centre National de la Recherche Scientifique, Institut des Sciences Cognitives Marc Jeannerod-UMR5229, Universite Claude Bernard Lyon1.
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