Pathways for Carotenoid Biosynthesis, Degradation, and Storage

Author(s):  
Tianhu Sun ◽  
Yaakov Tadmor ◽  
Li Li
2020 ◽  
Vol 42 (4) ◽  
pp. 46-50
Author(s):  
Manuel Rodriguez-Concepcion ◽  
Jaime F. Martinez-Garcia

The colours of plant leaves, flowers and fruits are provided by different pigments. Among them, carotenoids are health-promoting antioxidants produced in virtually all plant organs. In leaves, they participate in photosynthesis and photoprotection. In flowers, they colour petals to attract pollinators. And in fruits, they accumulate at the ripe stage to provide not only distinctive pigments, but also nutrients for animals to eat them and disperse the seeds. Light normally stimulates the biosynthesis of carotenoids and regulates the development of storage structures to accommodate these lipophilic pigments. Thus, carotenoid levels decrease when plants become shaded in high-density environments, and they are usually very low in dark-grown organs such as roots or in seedlings that germinate underground. Work with the model plant Arabidopsis thaliana has revealed the molecular factors that transduce light signals to boost carotenoid biosynthesis and storage in coordination with photosynthetic development when seedlings emerge from the soil and expose their leaves to sunlight. The same factors appear to control leaf carotenoid contents when light conditions change in day/night cycles or in response to shade. Strikingly, recent discoveries suggest that light-related factors have been recruited during evolution to promote carotenoid accumulation in tomatoes (fruits) and carrots (roots).


Author(s):  
R. C. Gonzalez

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.


Author(s):  
John W. Roberts ◽  
E. R. Witkus

The isopod hepatopancreas, as exemplified by Oniscus ascellus. is comprised of four blind-ending diverticula. The regenerative cells at the tip of each diverticula differentiate into either club-shaped B-cells, which serve a secretory function, or into conoid S-cells, which serve in the absorption and storage of nutrients.The glandular B-cells begin producing secretory material with the development of rough endoplasmic reticulum during their process of maturation from the undifferentiated regenerative cells. Cytochemical and morphological data indicate that the hepatopancreas sequentially produces two types of secretory material within the large club-shaped cells. The production of the carbohydrate-like secretory product in immature cells seems to be phased out as the production of the osmiophilic secretion was phased in as the cell matured.


Author(s):  
J. M. Paque ◽  
R. Browning ◽  
P. L. King ◽  
P. Pianetta

Geological samples typically contain many minerals (phases) with multiple element compositions. A complete analytical description should give the number of phases present, the volume occupied by each phase in the bulk sample, the average and range of composition of each phase, and the bulk composition of the sample. A practical approach to providing such a complete description is from quantitative analysis of multi-elemental x-ray images.With the advances in recent years in the speed and storage capabilities of laboratory computers, large quantities of data can be efficiently manipulated. Commercial software and hardware presently available allow simultaneous collection of multiple x-ray images from a sample (up to 16 for the Kevex Delta system). Thus, high resolution x-ray images of the majority of the detectable elements in a sample can be collected. The use of statistical techniques, including principal component analysis (PCA), can provide insight into mineral phase composition and the distribution of minerals within a sample.


1964 ◽  
Author(s):  
Norman G. Roth ◽  
John J. Symons
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document