scholarly journals Influence of Sulfur Nutrition on Developmental Patterns of Some Major Pea Seed Proteins and Their mRNAs

1984 ◽  
Vol 75 (3) ◽  
pp. 651-657 ◽  
Author(s):  
Peter M. Chandler ◽  
Donald Spencer ◽  
Peter J. Randall ◽  
Thomas J. V. Higgins
Keyword(s):  
Seed Proteins ◽  
Developmental Patterns ◽  
Pea Seed ◽  
Sulfur Nutrition

scholarly journals Erratum: A PQL (protein quantity loci) analysis of mature pea seed proteins identifies loci determining seed protein composition

PROTEOMICS ◽  
2011 ◽  
Vol 11 (19) ◽  
pp. 3942-3942 ◽  
Author(s):  
Michael Bourgeois ◽  
Françoise Jacquin ◽  
Florence Cassecuelle ◽  
Vincent Savois ◽  
Maya Belghazi ◽  
...  
Keyword(s):  
Seed Protein ◽  
Seed Proteins ◽  
Protein Composition ◽  
Pea Seed

A PQL (protein quantity loci) analysis of mature pea seed proteins identifies loci determining seed protein composition

PROTEOMICS ◽  
2011 ◽  
Vol 11 (9) ◽  
pp. 1581-1594 ◽  
Author(s):  
Michael Bourgeois ◽  
Françoise Jacquin ◽  
Florence Cassecuelle ◽  
Vincent Savois ◽  
Maya Belghazi ◽  
...  
Keyword(s):  
Seed Protein ◽  
Seed Proteins ◽  
Protein Composition ◽  
Pea Seed

scholarly journals Pea Seed Proteins: A Nutritional and Nutraceutical Update

2021 ◽  
Author(s):  
Sandeep Kaur Dhaliwal ◽  
Pooja Salaria ◽  
Prashant Kaushik
Keyword(s):  
Seed Proteins ◽  
Grain Legumes ◽  
Human Consumption ◽  
Pea Protein ◽  
Present Information ◽  
Pea Proteins ◽  
Pea Seeds ◽  
Protein Rich ◽  
Protein Supply ◽  
Pea Seed

Grain legumes are well known as staple sources of soluble protein worldwide. Pea is essentially the most quickly growing crop for immediate human consumption and has the potential for higher effect as being a protein supply for foods processing apps. Pea seeds are an essential source of plant-based proteins. The better acceptance of pea protein-rich food is due to pea manifold attributes, excellent functional qualities, high vitamin value, accessibility, and comparatively small cost. Pea proteins are not merely nutritional amino acids but are an indispensable source of bioactive peptides that offer health benefits. This chapter focuses on the present information of isolation methods, extraction, and of seed proteins in pea. Overall, we believe that analogous research and advancement on pea proteins would be required for further more substantial increase in pea protein utilization is envisaged.

scholarly journals Cell-free Synthesis of Pea Seed Proteins

1977 ◽  
Vol 60 (5) ◽  
pp. 655-661 ◽  
Author(s):  
Thomas J. V. Higgins ◽  
Donald Spencer
Keyword(s):  
Seed Proteins ◽  
Pea Seed

Iron transport and storage within the seed coat and embryo of developing seeds of pea (Pisum sativum L.)

1998 ◽  
Vol 8 (3) ◽  
pp. 367-375 ◽  
Author(s):  
Eduardo Marentes ◽  
Michael A. Grusak
Keyword(s):  
Pisum Sativum ◽  
Seed Coat ◽  
Iron Transport ◽  
Seed Proteins ◽  
Dry Weight ◽  
Total Iron ◽  
Wild Type ◽  
Unequal Distribution ◽  
Ferritin Iron ◽  
Pea Seed

AbstractTo understand the cellular processes related to iron transport and sequestration within the developing pea seed (Pisum sativum), total iron and ferritin iron were analysed in seed coat and embryo tissues of the iron-hyperaccumulating pea mutant, Sparkle [dgl, dgl], and its wild-type parent, cv. Sparkle. For plants grown hydroponically with 2 μM Fe, embryo Fe concentrations averaged 65 μg g−1 dry weight in mature wild-type seeds and 163 μg g−1 dry weight in mature dgl seeds; iron concentrations were also higher in dgl seed coats. Extracted and electrophoretically separated seed proteins were probed with a polyclonal antibody raised against pea seed ferritin. In both genotypes, ferritin was detected in the embryo, but not in the seed coat. Ferritin iron accounted for 92% of the total iron in mature wild-type embryos, but only 42% of the total iron in mature dgl embryos. Radiotracer studies using 59Fe were used to characterize the movement of iron within the seed coat. Unequal distribution of 59Fe in opposing sections taken from the two hemispheres of the seed coat demonstrated that iron was symplastically phloem unloaded. These results suggest that iron resides transiently within the nonvascular seed coat cells and that all cells at the inner surface of the seed coat may be involved in the release of iron to the embryo apoplast. However, the form of iron resident within the seed coat and/or taken up by the embryo is presently unknown.

Do Children With Developmental Language Disorder (DLD) Have Difficulties With Interference Control, Visuospatial Working Memory, and Selective Attention? Developmental Patterns and the Role of Severity and Persistence of DLD

2020 ◽  
Vol 63 (9) ◽  
pp. 3036-3050
Author(s):  
Elma Blom ◽  
Tessel Boerma
Keyword(s):  
Working Memory ◽  
Selective Attention ◽  
Language Disorder ◽  
Typically Developing ◽  
Developmental Language Disorder ◽  
Visuospatial Working Memory ◽  
Interference Control ◽  
Developmental Patterns ◽  
Search Tasks ◽  
The Impact

Purpose Many children with developmental language disorder (DLD) have weaknesses in executive functioning (EF), specifically in tasks testing interference control and working memory. It is unknown how EF develops in children with DLD, if EF abilities are related to DLD severity and persistence, and if EF weaknesses expand to selective attention. This study aimed to address these gaps. Method Data from 78 children with DLD and 39 typically developing (TD) children were collected at three times with 1-year intervals. At Time 1, the children were 5 or 6 years old. Flanker, Dot Matrix, and Sky Search tasks tested interference control, visuospatial working memory, and selective attention, respectively. DLD severity was based on children's language ability. DLD persistence was based on stability of the DLD diagnosis. Results Performance on all tasks improved in both groups. TD children outperformed children with DLD on interference control. No differences were found for visuospatial working memory and selective attention. An interference control gap between the DLD and TD groups emerged between Time 1 and Time 2. Severity and persistence of DLD were related to interference control and working memory; the impact on working memory was stronger. Selective attention was unrelated to DLD severity and persistence. Conclusions Age and DLD severity and persistence determine whether or not children with DLD show EF weaknesses. Interference control is most clearly impaired in children with DLD who are 6 years and older. Visuospatial working memory is impaired in children with severe and persistent DLD. Selective attention is spared.

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