Evidence map›Paper›PMID 37761955›Full record

ArticleGenes2023

Association Mapping of Candidate Genes Associated with Iron and Zinc Content in Rice (

Chance Bahati Bukomarhe, Paul Kitenge Kimwemwe, Stephen Mwangi Githiri, Edward George Mamati, Wilson Kimani, Collins Mutai, Fredrick Nganga, Paul-Martin Dontsop Nguezet, Jacob Mignouna, René Mushizi Civava and 1 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. 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
2.4field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

11 authors at 3 institutions in 2 countries.

Chance Bahati BukomarheDepartment of Horticulture and Food Security, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi P.O. Box 62000-00200, Kenya.
Paul Kitenge KimwemweDepartment of Horticulture and Food Security, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi P.O. Box 62000-00200, Kenya.ORCID 0000-0002-1006-8207
Stephen Mwangi GithiriDepartment of Horticulture and Food Security, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi P.O. Box 62000-00200, Kenya.
Edward George MamatiDepartment of Horticulture and Food Security, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi P.O. Box 62000-00200, Kenya.
Wilson KimaniInternational Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.ORCID 0000-0001-8653-8781
Collins MutaiInternational Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.ORCID 0000-0002-0951-9023
Fredrick NgangaInternational Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.
Paul-Martin Dontsop NguezetInternational Institute of Tropical Agriculture (IITA), Kalemie P.O. Box 570, Democratic Republic of the Congo.ORCID 0000-0001-5098-1853
Jacob MignounaOlusegun O. Research Campus, International Institute of Tropical Agriculture (IITA), Bukavu P.O. Box 1222, Democratic Republic of the Congo.
René Mushizi CivavaInstitut National Pour l'Etude et la Recherche Agronomiques (INERA), Kinshasa P.O. Box 2037, Democratic Republic of the Congo.
Mamadou FofanaOlusegun O. Research Campus, International Institute of Tropical Agriculture (IITA), Bukavu P.O. Box 1222, Democratic Republic of the Congo.
Jomo Kenyatta University of Agriculture and Technology · KEInternational Livestock Research Institute · KEUniversité Evangélique en Afrique · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micronutrient deficiencies, particularly of iron (Fe) and zinc (Zn), in the diet contribute to health issues and hidden hunger. Enhancing the Fe and Zn content in globally staple food crops like rice is necessary to address food malnutrition. A Genome-Wide Association Study (GWAS) was conducted using 85 diverse rice accessions from the Democratic Republic of Congo (DRC) to identify genomic regions associated with grain Fe and Zn content. The Fe content ranged from 0.95 to 8.68 mg/100 g on a dry weight basis (dwb) while Zn content ranged from 0.87 to 3.8 mg/100 g (dwb). Using MLM and FarmCPU models, we found 10 significant SNPs out of which one SNP on chromosome 11 was associated with the variation in Fe content and one SNP on chromosome 4 was associated with the Zn content, and both were commonly detected by the two models. Candidate genes belonging to transcription regulator activities, including the bZIP family genes and MYB family genes, as well as transporter activities involved in Fe and Zn homeostasis were identified in the vicinity of the SNP markers and selected. The identified SNP markers hold promise for marker-assisted selection in rice breeding programs aimed at enhancing Fe and Zn content in rice. This study provides valuable insights into the genetic factors controlling Fe and Zn uptake and their transport and accumulation in rice, offering opportunities for developing biofortified rice varieties to combat malnutrition among rice consumers.

Indexed as

OryzaCrops, AgriculturalGenome-Wide Association StudyIronPlant BreedingZincIronZincFe and Zn contentgene identificationgeneticsGWASriceSNP markers

Identifiers

PMID37761955
PMCPMC10530939
OpenAlexW4386850083

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.