scholarly journals Genetics of flower development in Ranunculales - a new, basal eudicot model order for studying flower evolution

2017 ◽  
Vol 216 (2) ◽  
pp. 361-366 ◽  
Author(s):  
Catherine Damerval ◽  
Annette Becker
Keyword(s):  
Flower Development ◽  
Model Order ◽  
Flower Evolution ◽  
Basal Eudicot

Flower development in species of Croton (Euphorbiaceae) and its implications for floral morphological diversity in the genus

2017 ◽  
Vol 65 (7) ◽  
pp. 538 ◽  
Author(s):  
Karina Bertechine Gagliardi ◽  
Inês Cordeiro ◽  
Diego Demarco
Keyword(s):  
Flower Development ◽  
Early Stage ◽  
Morphological Diversity ◽  
Flower Bud ◽  
Stage Of Development ◽  
Floral Diversity ◽  
The Family ◽  
Ontogenetic Study ◽  
Flower Evolution ◽  
Female Flowers

The Euphorbiaceae are notable for floral diversity and evolutionary complexity. Croton is the second largest genus in the family and exhibits particular diversity in its flowers. The aim of this study was to investigate the floral ontogeny and structure of three Croton species with distinct morphologies, with a focus on testing the hypothesis that the filaments of female flowers, which have received different interpretations in the literature and are currently described as reduced petals, are staminodes and part of a vestigial androecium. With the ontogenetic study we can understand the origin of the organs and associate these with flower evolution in the genus. Flowers in several stages of development were analysed using light microscopy and scanning electron microscopy. In the early stage of development, the sepals are the first structures to be formed, although they do not continue to grow in female Croton fuscescens Spreng. flowers. Petals are absent in female flowers, with filamentous, petaloid structures, interpreted here as staminodes, alternating with the sepals in Croton lundianus (Didr.) Müll. Arg. In Croton sphaerogynus Baill., the staminodes are located between the nectary lobes. The stamens exhibit centripetal development in the flower bud stage, and the carpels are post-genitally connate, with differences in style branching. Besides the ontogenetic interpretation for the filamentous structures, the genus shows transitional structures that we consider evolutionary reductions. Our results can explain how developmental alterations have influenced the suppression and modification of floral organs in the genus.

EST database for early flower development in California poppy (Eschscholzia californica Cham., Papaveraceae) tags over 6000 genes from a basal eudicot

2006 ◽  
Vol 62 (3) ◽  
pp. 351-369 ◽  
Author(s):  
John E. Carlson ◽  
James H. Leebens-Mack ◽  
P. Kerr Wall ◽  
Laura M. Zahn ◽  
Lukas A. Mueller ◽  
...  
Keyword(s):  
Flower Development ◽  
Est Database ◽  
Eschscholzia Californica ◽  
California Poppy ◽  
Basal Eudicot ◽  
Early Flower

Variation in the yield and composition of essential oils in German chamomile (Matricaria chamomilla) according to flower development stage

Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
M Rafieiolhossaini ◽  
A Adams ◽  
N De Kimpe ◽  
P Van Damme
Keyword(s):  
Essential Oils ◽  
Flower Development ◽  
Development Stage ◽  
Matricaria Chamomilla

Synthesis of Equivalent Circuit from Homogenized FE Equation using Model Order Reduction

2020 ◽  
Vol 140 (2) ◽  
pp. 134-139
Author(s):  
Shingo Hiruma ◽  
Hajime Igarashi
Keyword(s):  
Equivalent Circuit ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Model Order

THE NEW ALGORITHM OF SOLVING HARMONIC BALANCE EQUATIONS

2019 ◽  
Author(s):  
Vladimir Lantsov ◽  
A. Papulina
Keyword(s):  
Harmonic Balance ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Balance Equations ◽  
Model Order ◽  
Cad Systems ◽  
Computational Costs ◽  
Reduction Methods ◽  
Model Equations

The new algorithm of solving harmonic balance equations which used in electronic CAD systems is presented. The new algorithm is based on implementation to harmonic balance equations the ideas of model order reduction methods. This algorithm allows significantly reduce the size of memory for storing of model equations and reduce of computational costs.

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