↓ Skip to main content

A Parameterized Model of Amylopectin Synthesis Provides Key Insights into the Synthesis of Granular Starch

Overview of attention for article published in PLOS ONE, June 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
136 Dimensions

Readers on

mendeley
51 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Parameterized Model of Amylopectin Synthesis Provides Key Insights into the Synthesis of Granular Starch
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0065768
Pubmed ID
Authors

Alex Chi Wu, Matthew K. Morell, Robert G. Gilbert

Abstract

A core set of genes involved in starch synthesis has been defined by genetic studies, but the complexity of starch biosynthesis has frustrated attempts to elucidate the precise functional roles of the enzymes encoded. The chain-length distribution (CLD) of amylopectin in cereal endosperm is modeled here on the basis that the CLD is produced by concerted actions of three enzyme types: starch synthases, branching and debranching enzymes, including their respective isoforms. The model, together with fitting to experiment, provides four key insights. (1) To generate crystalline starch, defined restrictions on particular ratios of enzymatic activities apply. (2) An independent confirmation of the conclusion, previously reached solely from genetic studies, of the absolute requirement for debranching enzyme in crystalline amylopectin synthesis. (3) The model provides a mechanistic basis for understanding how successive arrays of crystalline lamellae are formed, based on the identification of two independent types of long amylopectin chains, one type remaining in the amorphous lamella, while the other propagates into, and is integral to the formation of, an adjacent crystalline lamella. (4) The model provides a means by which a small number of key parameters defining the core enzymatic activities can be derived from the amylopectin CLD, providing the basis for focusing studies on the enzymatic requirements for generating starches of a particular structure. The modeling approach provides both a new tool to accelerate efforts to understand granular starch biosynthesis and a basis for focusing efforts to manipulate starch structure and functionality using a series of testable predictions based on a robust mechanistic framework.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 8 16%
Student > Master 4 8%
Student > Doctoral Student 4 8%
Other 3 6%
Other 11 22%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 41%
Biochemistry, Genetics and Molecular Biology 6 12%
Engineering 4 8%
Chemistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 8%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 June 2013.
All research outputs
#18,340,012
of 22,711,645 outputs
Outputs from PLOS ONE
#154,155
of 193,916 outputs
Outputs of similar age
#148,325
of 197,464 outputs
Outputs of similar age from PLOS ONE
#3,520
of 4,574 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,916 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 197,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,574 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.