Evidence map›Paper›PMID 29541827›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

Biochemical and genetic analyses of N metabolism in maize testcross seedlings: 2. Roots.

Ignacio Trucillo Silva, Hari Kishan R Abbaraju, Lynne P Fallis, Hongjun Liu, Michael Lee, Kanwarpal S Dhugga

Open access · hybridAbstract read
In one paragraph

Article 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.4field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 20 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

6 authors at 3 institutions in 4 countries.

Ignacio Trucillo SilvaDepartment of Agronomy, Iowa State University, Ames, IA, 50011, USA.ORCID http://orcid.org/0000-0002-9224-2896
Hari Kishan R AbbarajuGenetic Discovery Group, DuPont Pioneer, Johnston, IA, 50131, USA.
Lynne P FallisGenetic Discovery Group, DuPont Pioneer, Johnston, IA, 50131, USA.
Hongjun LiuState Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, 271018, China.
Michael LeeDepartment of Agronomy, Iowa State University, Ames, IA, 50011, USA. mlee@iastate.edu.
Kanwarpal S DhuggaGenetic Discovery Group, DuPont Pioneer, Johnston, IA, 50131, USA. k.dhugga@cgiar.org.ORCID http://orcid.org/0000-0003-2477-3422
Pioneer Hi-Bred · USIowa State University · USShandong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageIntracellular factors differentially affected enzyme activities of N assimilation in the roots of maize testcrosses where alanine aminotransferase and glutamate synthase were the main enzymes regulating the levels of glutamate. N is a key macronutrient for plant growth and development. Breeding maize with improved efficiency in N use could help reduce environmental contamination as well as increase profitability for the farmers. Quantitative trait loci (QTL) mapping of traits related to N metabolism in the root tissue was undertaken in a maize testcross mapping population grown in hydroponic cultures. N concentration was negatively correlated with root and total dry mass. Neither the enzyme activities nor metabolites were appreciably correlated between the root and leaf tissues. Repeatability measures for most of the enzymes were lower than for dry mass. Weak negative correlations between most of the enzymes and dry mass resulted likely from dilution and suggested the presence of excess of enzyme activities for maximal biomass production. Glutamate synthase and alanine aminotransferase each explained more variation in glutamate concentration than either aspartate aminotransferase or asparagine synthetase whereas glutamine synthetase was inconsequential. Twenty-six QTL were identified across all traits. QTL models explained 7-43% of the variance with no significant epistasis between the QTL. Thirteen candidate genes were identified underlying QTL within 1-LOD confidence intervals. All the candidate genes were located in trans configuration, unlinked or even on different chromosomes, relative to the known genomic positions of the corresponding structural genes. Our results have implications in improving NUE in maize and other crop plants.

Indexed as

Quantitative Trait LociAlanine TransaminaseChromosome MappingCrosses, GeneticGenes, PlantGlutamate SynthaseGlutamic AcidModels, StatisticalNitrogenPhenotypePlant BreedingPlant LeavesPlant RootsSeedlingsZea maysAlanine TransaminaseGlutamate SynthaseGlutamic AcidNitrogen

Identifiers

PMID29541827
PMCPMC5945762
OpenAlexW2609616617

What OpenQuestion holds

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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.