SAW homeodomain transcription factors regulate initiation of leaf margin serrations

Author(s):  
Hyung-Woo Jeon ◽  
Mary E Byrne

Abstract Plant leaves are the main photosynthetic organ of plants and they occur in an array of different shapes. Leaf shape is determined by morphogenesis whereby patterning of the leaf margin can result in interspaced leaf serrations, lobes, or leaflets, depending on the species, developmental stage, and in some instances the environment. In Arabidopsis, mutations in the homeodomain transcription factors SAW1 and SAW2 result in more prominent leaf margin serrations. Here we show that serrations appear precociously in the saw1 saw2 mutant. The pattern of auxin maxima, and of PIN1 and CUC2 expression, which form a feedback loop that drives serration outgrowth, is altered in saw1 saw2 and correlates with precocious serration initiation. SAW1 is not expressed in the outer epidermal cell layer where PIN1 convergence points generate auxin maxima. Instead, SAW1 is expressed on the adaxial side of the leaf and expression in this domain is sufficient for function. We suggest that SAW1 and SAW2 repress serration initiation and outgrowth by promoting the transition to a determinate fate in the leaf margin.

Author(s):  
Lizhu Wen ◽  
Yiming Kong ◽  
Hongfeng Wang ◽  
Yiteng Xu ◽  
Zhichao Lu ◽  
...  

Abstract The molecular mechanisms underlying diversity of leaf shapes have been of great interest to researchers. Leaf shape depends on the pattern of serrations and the degree of indentation of leaf margins. Multiple transcription factors and hormone signaling are involved in this process. In this study, we characterized the developmental roles of SMALL AND SERRATED LEAF (SSL) by analyzing a recessive mutant in the model legume Medicago truncatula. An ortholog of Arabidopsis thaliana GA3-oxidase 1 (GA3ox1), MtGA3ox1/SSL, is required for GA biosynthesis. Loss of function in MtGA3ox1 results in the small plant and lateral organs. The prominent phenotype of the mtga3ox1 mutant is the more pronounced leaf margin, indicating the critical role of GA level in leaf margin formation. Moreover, 35S: MtDELLA2  ΔDELLAand 35S: MtARF3 transgenic plants display leaves with the deeply wavy margin, which resembles those of mtga3ox1. Further investigations show that the MtGA3ox1 is under the control of MtDELLA1/2/3-MtGAF1 complexes-dependent feedback regulation. Meanwhile, MtARF3 behaves as a competitive inhibitor of MtDELLA2/3-MtGAF1 complexes to repress the expression of MtGA3ox1 indirectly. These findings suggest that GA feedback regulatory circuits play a fundamental role in leaf margin formation, in which the posttranslational interaction between transcription factors functions as an additional feature.


Author(s):  
Jose Carranza-Rojas ◽  
Erick Mata-Montero

In the last decade, research in Computer Vision has developed several algorithms to help botanists and non-experts to classify plants based on images of their leaves. LeafSnap is a mobile application that uses a multiscale curvature model of the leaf margin to classify leaf images into species. It has achieved high levels of accuracy on 184 tree species from Northeast US. We extend the research that led to the development of LeafSnap along two lines. First, LeafSnap’s underlying algorithms are applied to a set of 66 tree species from Costa Rica. Then, texture is used as an additional criterion to measure the level of improvement achieved in the automatic identification of Costa Rica tree species. A 25.6% improvement was achieved for a Costa Rican clean image dataset and 42.5% for a Costa Rican noisy image dataset. In both cases, our results show this increment as statistically significant. Further statistical analysis of visual noise impact, best algorithm combinations per species, and best value of k , the minimal cardinality of the set of candidate species that the tested algorithms render as best matches is also presented in this research.


Forests ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 714 ◽  
Author(s):  
Peijian Shi ◽  
David Ratkowsky ◽  
Yang Li ◽  
Lifang Zhang ◽  
Shuyan Lin ◽  
...  

Plant leaves exhibit diverse shapes that enable them to utilize a light resource maximally. If there were a general parametric model that could be used to calculate leaf area for different leaf shapes, it would help to elucidate the adaptive evolutional link among plants with the same or similar leaf shapes. We propose a simplified version of the original Gielis equation (SGE), which was developed to describe a variety of object shapes ranging from a droplet to an arbitrary polygon. We used this equation to fit the leaf profiles of 53 species (among which, 48 bamboo plants, 5 woody plants, and 10 geographical populations of a woody plant), totaling 3310 leaves. A third parameter (namely, the floating ratio c in leaf length) was introduced to account for the case when the theoretical leaf length deviates from the observed leaf length. For most datasets, the estimates of c were greater than zero but less than 10%, indicating that the leaf length predicted by the SGE was usually smaller than the actual length. However, the predicted leaf areas approximated their actual values after considering the floating ratios in leaf length. For most datasets, the mean percent errors of leaf areas were lower than 6%, except for a pooled dataset with 42 bamboo species. For the elliptical, lanceolate, linear, obovate, and ovate shapes, although the SGE did not fit the leaf edge perfectly, after adjusting the parameter c, there were small deviations of the predicted leaf areas from the actual values. This illustrates that leaves with different shapes might have similar functional features for photosynthesis, since the leaf areas can be described by the same equation. The anisotropy expressed as a difference in leaf shape for some plants might be an adaptive response to enable them to adapt to different habitats.


2007 ◽  
Vol 303 (2) ◽  
pp. 687-702 ◽  
Author(s):  
Marie-Rose Hirsch ◽  
Joel C. Glover ◽  
Héloïse D. Dufour ◽  
Jean-François Brunet ◽  
Christo Goridis

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