Evidence map›Paper›PMID 28724910›Full record

ArticleScientific reports2017

Investigating glycemic potential of rice by unraveling compositional variations in mature grain and starch mobilization patterns during seed germination.

Maria Krishna de Guzman, Sabiha Parween, Vito M Butardo, Crisline Mae Alhambra, Roslen Anacleto, Christiane Seiler, Anthony R Bird, Chung-Ping Chow, Nese Sreenivasulu

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Genome editing ofCurrent research in food science · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Maria Krishna de GuzmanGrain Quality and Nutrition Center, Plant Breeding Division, International Rice Research Institute, Los Baños, Laguna, 4030, Philippines.
Sabiha ParweenGrain Quality and Nutrition Center, Plant Breeding Division, International Rice Research Institute, Los Baños, Laguna, 4030, Philippines.
Vito M ButardoGrain Quality and Nutrition Center, Plant Breeding Division, International Rice Research Institute, Los Baños, Laguna, 4030, Philippines.ORCID 0000-0003-3418-2140
Crisline Mae AlhambraGrain Quality and Nutrition Center, Plant Breeding Division, International Rice Research Institute, Los Baños, Laguna, 4030, Philippines.
Roslen AnacletoGrain Quality and Nutrition Center, Plant Breeding Division, International Rice Research Institute, Los Baños, Laguna, 4030, Philippines.ORCID 0000-0002-0253-8774
Christiane SeilerThe Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Anthony R BirdCSIRO Health and Biosecurity, Kintore Ave, Adelaide, SA, 5000, Australia.
Chung-Ping ChowWaters Pacific Pte Ltd, Singapore Science Park II, Singapore, 117528, Singapore.
Nese SreenivasuluGrain Quality and Nutrition Center, Plant Breeding Division, International Rice Research Institute, Los Baños, Laguna, 4030, Philippines. n.sreenivasulu@irri.org.ORCID 0000-0002-3998-038X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice lines with slower starch digestibility provide opportunities in mitigating the global rise in type II diabetes and related non-communicable diseases. However, screening for low glycemic index (GI) in rice breeding programs is not possible due to time and cost constraints. This study evaluated the feasibility of using in vitro cooked grain amylolysis, starch mobilization patterns during seed germination, and variation in starch structure and composition in the mature seed to differentiate patterns of starch digestibility. Mobilization patterns of total starch, resistant starch, amylose and amylopectin chains, and free sugars during seed germination revealed that the process is analogous to digestion in the human gastrointestinal tract. The combination of these biochemical markers can be used as an alternative measure to predict GI. Additionally, transcriptome analysis of stored mRNA transcripts in high and low GI lines detected differences in starch metabolism and confirmed the importance of seed storage pathways in influencing digestibility. Pathway analyses supported by metabolomics data revealed that resistant starch, cell wall non-starch polysaccharides and flavonoids potentially contribute to slower digestibility. These new insights can guide precision breeding programs to produce low GI rice with acceptable cooking quality to help mitigate the burden of diet-associated lifestyle diseases.

Indexed as

GerminationGlycemic IndexAmylopectinAmyloseFoodGene Expression Regulation, PlantKineticsMetabolomicsOryzaPrincipal Component AnalysisSeedsStarchTranscriptomeAmylopectinAmyloseStarch

Identifiers

PMID28724910
PMCPMC5517638

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.