Evidence map›Paper›PMID 29752522›Full record

SynthesisTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.).

Paulo Izquierdo, Carolina Astudillo, Matthew W Blair, Asif M Iqbal, Bodo Raatz, Karen A Cichy

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 8 pooled it
11.5field-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

45 citing papers in PubMed, 8 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  13. Genome-wide meta-QTL approach identifies consensus loci associated with agriculturally important tomato fruit traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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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

6 authors at 4 institutions in 2 countries.

Paulo IzquierdoDepartment of Plant Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA.
Carolina AstudilloDepartment of Plant Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA.
Matthew W BlairDepartment of Agricultural and Environmental Sciences, Tennessee State University, Nashville, TN, USA.
Asif M IqbalDepartment of Plant Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA.
Bodo RaatzInternational Center for Tropical Agriculture, Cali, Colombia.
Karen A CichyDepartment of Plant Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA. karen.cichy@ars.usda.gov.ORCID http://orcid.org/0000-0002-4311-0774
Michigan State University · USAgricultural Research Service · USInternational Center for Tropical Agriculture · COTennessee State University · US

Funding

Agricultural Research Service 3635-21430-009-00DUnited States Agency for International Development 340001-040-001
6 · The paper itself

Abstract

key messageTwelve meta-QTL for seed Fe and Zn concentration and/or content were identified from 87 QTL originating from seven population grown in sixteen field trials. These meta-QTL include 2 specific to iron, 2 specific to zinc and 8 that co-localize for iron and zinc concentrations and/or content. Common bean (Phaseolus vulgaris L.) is the most important legume for human consumption worldwide and it is an important source of microelements, especially iron and zinc. Bean biofortification breeding programs develop new varieties with high levels of Fe and Zn targeted for countries with human micronutrient deficiencies. Biofortification efforts thus far have relied on phenotypic selection of raw seed mineral concentrations in advanced generations. While numerous quantitative trait loci (QTL) studies have been conducted to identify genomic regions associated with increased Fe and Zn concentration in seeds, these results have yet to be employed for marker-assisted breeding. The objective of this study was to conduct a meta-analysis from seven QTL studies in Andean and Middle American intra- and inter-gene pool populations to identify the regions in the genome that control the Fe and Zn levels in seeds. Two meta-QTL specific to Fe and two meta-QTL specific to Zn were identified. Additionally, eight Meta QTL that co-localized for Fe and Zn concentration and/or content were identified across seven chromosomes. The Fe and Zn shared meta-QTL could be useful candidates for marker-assisted breeding to simultaneously increase seed Fe and Zn. The physical positions for 12 individual meta-QTL were identified and within five of the meta-QTL, candidate genes were identified from six gene families that have been associated with transport of iron and zinc in plants.

Indexed as

Quantitative Trait LociChromosome MappingGene PoolIronPhaseolusPhenotypePlant BreedingSeedsZincIronZinc

Identifiers

PMID29752522
OpenAlexW2802879825

What OpenQuestion holds

Textmetadata
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.