Evidence map›Paper›PMID 32391041›Full record

ArticleFrontiers in genetics2020

Genome-Wide Association Study Reveals Novel Marker-Trait Associations (MTAs) Governing the Localization of Fe and Zn in the Rice Grain.

Haritha Bollinedi, Ashutosh Kumar Yadav, K K Vinod, S Gopala Krishnan, Prolay Kumar Bhowmick, M Nagarajan, C N Neeraja, Ranjith Kumar Ellur, Ashok Kumar Singh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
10.4field-weighted citation impact, top 2% of its field
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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  10. Genome-wide association study reveals genetic loci for ten trace elements in foxtail millet (Setaria italica).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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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 at 2 institutions in 1 country.

Haritha BollinediDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Ashutosh Kumar YadavDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
K K VinodDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
S Gopala KrishnanDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Prolay Kumar BhowmickDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
M NagarajanICAR-Indian Agricultural Research Institute, Rice Breeding and Genetics Research Centre, Aduthurai, India.
C N NeerajaICAR-Indian Institute of Rice Research, Hyderabad, India.
Ranjith Kumar EllurDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Ashok Kumar SinghDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Indian Agricultural Research Institute · INIndian Institute of Rice Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micronutrient malnutrition due to Fe and Zn, affects around two billion people globally particularly in the developing countries. More than 90% of the Asian population is dependent on rice-based diets, which is low in these micronutrients. In the present study, a set of 192 Indian rice germplasm accessions, grown at two locations, were evaluated for Fe and Zn in brown rice (BR) and milled rice (MR). A significant variation was observed in the rice germplasm for these micronutrients. The grain Fe concentration was in the range of 6.2-23.1 ppm in BR and 0.8-12.3 ppm in MR, while grain Zn concentration was found to be in the range of 11.0-47.0 ppm and 8.2-40.8 ppm in the BR and MR, respectively. Grain Fe exhibited maximum loss upon milling with a mean retention of 24.9% in MR, while Zn showed a greater mean retention of 74.2% in MR. A genome-wide association study (GWAS) was carried out implementing the FarmCPU model to control the population structure and kinship, and resulted in the identification of 29 marker-trait associations (MTAs) with significant associations for traits viz. FeBR (6 MTAs), FeMR (7 MTAs), ZnBR (11 MTAs), and ZnMR (5 MTAs), which could explain the phenotypic variance from 2.1 to as high as 53.3%. The MTAs governing the correlated traits showed co-localization, signifying the possibility of their simultaneous improvement. The robust MTAs identified in the study could be valuable resource for enhancing Fe and Zn concentration in the rice grain and addressing the problem of Fe and Zn malnutrition among rice consumers.

Indexed as

biofortificationbrown ricedonorsFeGWASmilled ricericeZn

Identifiers

PMID32391041
PMCPMC7188789
OpenAlexW3019779955

What OpenQuestion holds

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LicenceCC BY
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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.