Evidence map›Paper›PMID 20385002›Full record

ArticleBMC plant biology2010

Dissecting grain yield pathways and their interactions with grain dry matter content by a two-step correlation approach with maize seedling transcriptome.

Junjie Fu, Alexander Thiemann, Tobias A Schrag, Albrecht E Melchinger, Stefan Scholten, Matthias Frisch

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In one paragraph

Article in BMC plant biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  6. GW2 Functions as an E3 Ubiquitin Ligase for Rice Expansin-Like 1.International journal of molecular sciences · 2018
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Junjie FuInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599 Stuttgart, Germany.
Alexander Thiemann
Tobias A Schrag
Albrecht E Melchinger
Stefan Scholten
Matthias Frisch

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe importance of maize for human and animal nutrition, but also as a source for bio-energy is rapidly increasing. Maize yield is a quantitative trait controlled by many genes with small effects, spread throughout the genome. The precise location of the genes and the identity of the gene networks underlying maize grain yield is unknown. The objective of our study was to contribute to the knowledge of these genes and gene networks by transcription profiling with microarrays.

resultsWe assessed the grain yield and grain dry matter content (an indicator for early maturity) of 98 maize hybrids in multi-environment field trials. The gene expression in seedlings of the parental inbred lines, which have four different genetic backgrounds, was assessed with genome-scale oligonucleotide arrays. We identified genes associated with grain yield and grain dry matter content using a newly developed two-step correlation approach and found overlapping gene networks for both traits. The underlying metabolic pathways and biological processes were elucidated. Genes involved in sucrose degradation and glycolysis, as well as genes involved in cell expansion and endocycle were found to be associated with grain yield.

conclusionsOur results indicate that the capability of providing energy and substrates, as well as expanding the cell at the seedling stage, highly influences the grain yield of hybrids. Knowledge of these genes underlying grain yield in maize can contribute to the development of new high yielding varieties.

Indexed as

BiomassGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGlycolysisHybridization, GeneticMetabolic Networks and PathwaysModels, GeneticQuantitative Trait, HeritableSeedlingsSeedsSucroseZea maysSucrose

Identifiers

PMID20385002
PMCPMC2923537

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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.