Evidence map›Paper›PMID 34946962›Full record

ReviewGenes2021

Transcriptomics View over the Germination Landscape in Biofortified Rice.

Conrado Jr Dueñas, Inez Slamet-Loedin, Anca Macovei

Abstract readReview
In one paragraph

Review in Genes, 2021. 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. Review
  2. Review
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

3 authors.

Conrado Jr DueñasDepartment of Biology and Biotechnology, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy.
Inez Slamet-LoedinTrait and Genomic Engineering Cluster, Strategic Innovation Platform, International Rice Research Institute, DAPO Box 7777, Metro Manila 1277, Philippines.
Anca MacoveiDepartment of Biology and Biotechnology, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy.ORCID 0000-0002-4455-6321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hidden hunger, or micronutrient deficiency, is a worldwide problem. Several approaches are employed to alleviate its effects (e.g., promoting diet diversity, use of dietary supplements, chemical fortification of processed food), and among these, biofortification is considered as one of the most cost-effective and highly sustainable. Rice is one of the best targets for biofortification since it is a staple food for almost half of the world's population as a high-energy source but with low nutritional value. Multiple biofortified rice lines have been produced during the past decades, while few studies also reported modifications in germination behavior (in terms of enhanced or decreased germination percentage or speed). It is important to underline that rapid, uniform germination, and seedling establishment are essential prerequisites for crop productivity. Combining the two traits, biofortified, highly-nutritious seeds with improved germination behavior can be envisaged as a highly-desired target for rice breeding. To this purpose, information gathered from transcriptomics studies can reveal useful insights to unveil the molecular players governing both traits. The present review aims to provide an overview of transcriptomics studies applied at the crossroad between biofortification and seed germination, pointing out potential candidates for trait pyramiding.

Indexed as

Quantitative Trait LociBiofortificationGene Expression ProfilingGene Expression Regulation, PlantGerminationOryzaPlant BreedingPlant ProteinsPlant Proteinsbiofortificationgerminationmicronutrient deficiencyOryza sativaseed qualitytranscriptomics

Identifiers

PMID34946962
PMCPMC8700799

What OpenQuestion holds

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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.