Evidence map›Paper›PMID 39507902›Full record

ArticleFrontiers in nutrition2024

Exploring the synergy of enzymes, nutrients, and gene networks in rice starch granule biogenesis.

Sunil Indrajit Warwate, Monika Awana, Swapnil S Thakare, Veda Krishnan, Suresh Kumar, Haritha Bollinedi, Ajay Arora, Amitha Mithra Sevanthi, Mrinmoy Ray, Shelly Praveen and 1 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Sunil Indrajit WarwateDivision of Biochemistry, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Monika AwanaDivision of Biochemistry, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Swapnil S ThakareDivision of Biochemistry, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Veda KrishnanDivision of Biochemistry, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Suresh KumarDivision of Biochemistry, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Haritha BollinediDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Ajay AroraDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Amitha Mithra SevanthiICAR-National Institute for Plant Biotechnology, New Delhi, India.
Mrinmoy RayDivision of Forecasting and Agricultural Systems Modeling, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Shelly PraveenDivision of Biochemistry, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Archana SinghDivision of Biochemistry, ICAR-Indian Agricultural Research Institute, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Rice is a primary food source almost for more than 50% of the total world's population. Glycemic index (GI) is high in most of the rice varieties, limiting their consumption by diabetic and obese people. As a result, developing new rice varieties with low GI necessitates a thorough understanding of starch biogenesis gene expression and its interrelationship. Methods: A total 200 rice genotypes were analyzed for total starch content (TSC), amylopectin content (APC), and amylose content (AC). The clustering of these rice genotypes was done based on their AC. Further, these genotypes were categorized into three groups up to 10% amylose-low, 10-26% amylose-medium, and more than 26% amylose-high. Among them, six genotypes 1 from low AC (NJ-72), 2 from medium AC (UPRI-2003-18, PRR-126), and 3 from high AC (RNRM-7, Urvashi and Ananga) were selected. The genotypes selected from the medium and high AC groups were having 2% amylose variation among themselves respectively and they were further used to study the level of RS, protein content (PC), fatty acid (FA) profiles, and granule morphology along with low group sample. Results: Resistant starch (RS) content ranged from 0.33-2.75%, and fatty acid profiling revealed high levels of palmitic, linoleic, and oleic acids. The degree of crystallinity and APC% were found to be positively correlated. Ananga, the genotype with the highest RS, displayed compact starch granules. Further, NJ-72 showing low RS and Ananga with high RS were selected for investigation of enzymatic activities of starch biosynthesis, metabolites accumulation, and expressions of 20 starch biogenesis genes in developing endosperm. Starch branching enzymes (SBE) and starch synthase (SS) activities peaked at 13 days after anthesis (DAA), while starch debranching enzymes (DBE) were most active at 18 DAA. In Ananga, TSC, AC, APC, and RS levels progressively increased from 3 to 23 DAA. Ananga showed 1.25-fold upregulation of Conclusion: This research could lead to the development of rice varieties with improved nutritional qualities, such as higher RS content, which is beneficial for human health due to its role in lowering glycemic response and promoting gut health. Additionally, the study provides insights into how the modulation of key genes and enzymes can affect starch composition, offering strategies to breed rice varieties tailored for specific dietary needs or industrial applications.

Indexed as

fatty acidsgene expressiongrain morphologyresistant starchrice endospermstarch biogenesis

Identifiers

PMID39507902
PMCPMC11538003

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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.