Evidence mapPaperPMID 39294492Full record

ReviewPlanta2024

Biotechnological approaches to reduce the phytic acid content in millets to improve nutritional quality.

Bhuvnesh Sareen, Ramesh Namdeo Pudake, Amitha Mithra Sevanthi, Amolkumar U Solanke

Abstract readReview
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In one paragraph

Review in Planta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Bhuvnesh SareenICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Ramesh Namdeo PudakeICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India. rnpudake@amity.edu.
Amitha Mithra SevanthiICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Amolkumar U SolankeICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India. amol.solanke@icar.gov.in.ORCID http://orcid.org/0000-0001-8567-7691

Funding

Science and Engineering Research Board TAR/2020/000166
6 · The paper itself

Abstract

MAIN

conclusionThe review article summarizes the approaches and potential targets to address the challenges of anti-nutrient like phytic acid in millet grains for nutritional improvement. Millets are a diverse group of minor cereal grains that are agriculturally important, nutritionally rich, and the oldest cereals in the human diet. The grains are important for protein, vitamins, macro and micronutrients, fibre, and energy sources. Despite a high amount of nutrients, millet grains also contain anti-nutrients that limit the proper utilization of nutrients and finally affect their dietary quality. Our study aims to outline the genomic information to identify the target areas of research for the exploration of candidate genes for nutritional importance and show the possibilities to address the presence of anti-nutrient (phytic acid) in millets. So, the physicochemical accessibility of micronutrients increases and the agronomic traits can do better. Several strategies have been adopted to minimize the phytic acid, a predominant anti-nutrient in cereal grains. In the present review, we highlight the potential of biotechnological tools and genome editing approaches to address phytic acid in millets. It also highlights the biosynthetic pathway of phytic acid and potential targets for knockout or silencing to achieve low phytic acid content in millets.

Indexed as

MilletsNutritive ValuePhytic AcidBiotechnologyEdible GrainGene EditingPhytic AcidCRISPR/Cas9Micronutrient bioavailabilityNutri-cerealPhytic acidRNAi

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.