Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Combining Quantitative Genetics Approaches with Regulatory Network Analysis to Dissect the Complex Metabolism of the Maize Kernel.

Plant physiology - 1 Jan 2016

Wen Weiwei, Liu Haijun, Zhou Yang, Jin Min, Yang Ning, Li Dong, Luo Jie, Xiao Yingjie, Pan Qingchun, Tohge Takayuki, Fernie Alisdair R, Yan Jianbing

Abstract excerpt

Metabolic quantitative trait locus (QTL) studies have allowed us to better understand the genetic architecture underlying naturally occurring plant metabolic variance. Here, we use two recombinant inbred line (RIL) populations to dissect the genetic architecture of natural variation of 155 metabolites measured in the mature maize (Zea mays) kernel. Overall, linkage mapping identified 882 metabolic QTLs in both...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chromosome Mapping
Share to Flavonoids

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genome-Wide Association Study

Share to Quantitative Trait Loci

Share to Recombination, Genetic

Share to Tandem Mass Spectrometry

Share to Zea mays

Source

Open in PubMed Open full text

Identifiers

PMID: 26556794
DOI: 10.1104/pp.15.01444
PMCID: PMC4704590

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Combining Quantitative Genetics Approaches with Regulatory Network Analysis to Dissect the Complex Metabolism of the Maize Kernel.PMID 26556794Read ↗

Genetic Determinants of the Network of Primary Metabolism and Their Relationships to Plant Performance in a Maize Recombinant Inbred Line Population.Semantic proximity Read ↗

Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize.Semantic proximity Read ↗

An integrated multi-layered analysis of the metabolic networks of different tissues uncovers key genetic components of primary metabolism in maize.Semantic proximity Read ↗

Combined Large-Scale Phenotyping and Transcriptomics in Maize Reveals a Robust Growth Regulatory Network.Semantic proximity Read ↗

Metabolomics analysis and metabolite-agronomic trait associations using kernels of wheat (Triticum aestivum) recombinant inbred lines.Semantic proximity Read ↗

Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels.Semantic proximity Read ↗

Genetic mapping of maize metabolites using high-throughput mass profiling.Semantic proximity Read ↗

Broadening Our Portfolio in the Genetic Improvement of Maize Chemical Composition.Semantic proximity Read ↗

Linkage and association mapping in multi‐parental populations reveal the genetic basis of carotenoid variation in maize kernelsSemantic proximity Read ↗

Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population.Semantic proximity Read ↗

A forward genetics approach integrating genome-wide association study and expression quantitative trait locus mapping to dissect leaf development in maize (Zea mays).Semantic proximity Read ↗

Leveraging non-targeted metabolite profiling via statistical genomics.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.