Evidence map›Paper›PMID 36824166›Full record

ArticleFrontiers in nutrition2023

Genome wide association analysis for grain micronutrients and anti-nutritional traits in mungbean [

Mayank Kumar Sinha, Muraleedhar S Aski, Gyan Prakash Mishra, M B Arun Kumar, Prachi S Yadav, Jayanti P Tokas, Sanjeev Gupta, Aditya Pratap, Shiv Kumar, Ramakrishnan M Nair and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

12 authors at 7 institutions in 2 countries.

Mayank Kumar SinhaDivision of Genetics, ICAR - Indian Council of Agricultural Research- Indian Agricultural Research Institute, New Delhi, India.
Muraleedhar S AskiDivision of Genetics, ICAR - Indian Council of Agricultural Research- Indian Agricultural Research Institute, New Delhi, India.
Gyan Prakash MishraDivision of Genetics, ICAR - Indian Council of Agricultural Research- Indian Agricultural Research Institute, New Delhi, India.
M B Arun KumarDivision of Seed Science and Technology, ICAR - Indian Agricultural Research Institute, New Delhi, India.
Prachi S YadavDivision of Genetics, ICAR - Indian Council of Agricultural Research- Indian Agricultural Research Institute, New Delhi, India.
Jayanti P TokasDivision of Biochemistry, Chaudhary Charan Singh Haryana Agricultural University, Hissar, India.
Sanjeev GuptaKrishi Bhavan, Indian Council of Agricultural Research, New Delhi, India.
Aditya PratapDivision of Crop Improvement, ICAR - Indian Institute of Pulses Research, Kanpur, India.
Shiv KumarInternational Center for Agricultural Research in the Dry Areas (ICARDA), New Delhi, India.
Ramakrishnan M NairWorld Vegetable Center, South and Central Asia, Hyderabad, India.
Roland SchafleitnerWorld Vegetable Center Head Quarters (HQ), Tainan, Taiwan.
Harsh Kumar DikshitDivision of Genetics, ICAR - Indian Council of Agricultural Research- Indian Agricultural Research Institute, New Delhi, India.
Indian Agricultural Research Institute · INIndian Agricultural Statistics Research Institute · INIndian Council of Agricultural Research · INChaudhary Charan Singh Haryana Agricultural University · INIndian Institute of Pulses Research · INWorld Health Organization Regional Office for South-East Asia · INWorld Vegetable Center · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mungbean is an important food grain legume for human nutrition and nutritional food due to its nutrient-dense seed, liked palatability, and high digestibility. However, anti-nutritional factors pose a significant risk to improving nutritional quality for bio-fortification. In the present study, genetic architecture of grain micronutrients (grain iron and zinc concentration) and anti-nutritional factors (grain phytic acid and tannin content) in association mapping panel of 145 diverse mungbean were evaluated. Based on all four parameters genotypes PUSA 1333 and IPM 02-19 were observed as desired genotypes as they had high grain iron and zinc concentration but low grain phytic acid and tannin content. The next generation sequencing (NGS)-based genotyping by sequencing (GBS) identified 14,447 genome-wide SNPs in a diverse selected panel of 127 mungbean genotypes. Population admixture analysis revealed the presence of four different ancestries among the genotypes and LD decay of ∼57.6 kb kb physical distance was noted in mungbean chromosomes. Association mapping analysis revealed that a total of 20 significant SNPs were shared by both GLM and Blink models associated with grain micronutrient and anti-nutritional factor traits, with Blink model identifying 35 putative SNPs. Further, this study identified the 185 putative candidate genes. Including potential candidate genes

Indexed as

anti-nutrientsbio-fortificationmarker trait associationmicronutrientstannins

Identifiers

PMID36824166
PMCPMC9941709
OpenAlexW4319438891

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.