Evidence map›Paper›PMID 39190344›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Multiomics of a rice population identifies genes and genomic regions that bestow low glycemic index and high protein content.

Saurabh Badoni, Erstelle A Pasion-Uy, Sakshi Kor, Sung-Ryul Kim, Rhowell N Tiozon, Gopal Misra, Reuben James Q Buenafe, Luster May Labarga, Ana Rose Ramos-Castrosanto, Vipin Pratap and 7 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
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  3. 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

17 authors.

Saurabh Badoni *International Rice Research Institute, Los Banos, Laguna 4030, Philippines.
Erstelle A Pasion-Uy *International Rice Research Institute, Los Banos, Laguna 4030, Philippines.
Sakshi KorInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.
Sung-Ryul KimInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.
Rhowell N TiozonInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.ORCID 0000-0002-2177-8730
Gopal MisraInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.
Reuben James Q BuenafeInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.ORCID 0000-0002-0023-3678
Luster May LabargaInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.
Ana Rose Ramos-CastrosantoInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.
Vipin PratapInternational Rice Research Institute South Asia Regional Centre, Collectry farm, Varanasi, Uttar Pradesh 221006, India.
Inez Slamet-LoedinInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.
Julia von SteimkerMax-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany.
Saleh AlseekhMax-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany.
Alisdair R FernieMax-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany.ORCID 0000-0001-9000-335X
Ajay KohliInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.ORCID 0000-0002-7325-5798
Gurudev S KhushDepartment of Plant Sciences, University of California, Davis, CA 95616.ORCID 0000-0002-7668-7705
Nese SreenivasuluInternational Rice Research Institute, Los Banos, Laguna 4030, Philippines.ORCID 0000-0002-3998-038X

Funding

Foundation for Food and Agriculture Research (FFAR) (CA-21-SS-0000000157)
6 · The paper itself

Abstract

To counter the rising incidence of diabetes and to meet the daily protein needs, we created low glycemic index (GI) rice varieties with protein content (PC) surpassing 14%. In the development of recombinant inbred lines using Samba Mahsuri and IR36 amylose extender (IR36ae) as parental lines, we identified quantitative trait loci and genes associated with low GI, high amylose content (AC), and high PC. By integrating genetic techniques with classification models, this comprehensive approach identified candidate genes on chromosome 2 (

Indexed as

AmyloseGlycemic IndexOryzaQuantitative Trait Loci1,4-alpha-Glucan Branching EnzymeGenome, PlantGenomicsMultiomicsPhenotypePlant ProteinsPolymorphism, Single Nucleotide1,4-alpha-Glucan Branching EnzymeAmylosePlant Proteinsstarch-branching enzyme IIbgenomicsglycemic indexproteinQTLsstarch

Identifiers

PMID39190344
PMCPMC11388348

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.