The Plant CellGeneticsPeer-reviewed journal article
Eleven biosynthetic genes explain the majority of natural variation for carotenoid levels in maize grain
Christine DiepenbrockiD, Daniel C. IlutiD, Maria Magallanes‐LundbackiD, Catherine B. KandianisiD, Alexander Edward LipkaiD, Peter J. BradburyiD, James Brendan HollandiD, John P. HamiltoniD, Edmund WooldridgeiD, Brieanne VaillancourtiD, Elsa Góngora‐CastilloiD, Jason G. WallaceiD, Jason CepelaiD, Maria Mateos-Hernandez, Brenda F. OwensiD, Tyler TiedeiD, Edward S. BuckleriD, Torbert RochefordiD, C. Robin BuelliD, Michael A. GoreiD, Dean DellaPennaiD
Abstract
Vitamin A deficiency remains prevalent in parts of Asia, Latin America, and sub-Saharan Africa where maize is a food staple. Extensive natural variation exists for carotenoids in maize grain; to understand its genetic basis, we conducted a joint linkage and genome-wide association study in the U.S. maize nested association mapping panel. Eleven of the 44 detected quantitative trait loci (QTL) were resolved to individual genes. Six of these were correlated expression and effect QTL (ceeQTL), showing strong correlations between RNA-seq expression abundances and QTL allelic effect estimates across six stages of grain development. These six ceeQTL also had the largest percent phenotypic variance explained, and in major part comprised the three to five loci capturing the bulk of genetic variation for each trait. Most of these ceeQTL had strongly correlated QTL allelic effect estimates across multiple traits. These findings provide the most comprehensive genome-level understanding of the genetic and molecular control of carotenoids in any plant system, and a roadmap to accelerate breeding for provitamin A and other priority carotenoid traits in maize grain that should be readily extendable to other cereals.
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 50
- FWCI
- 3.81
- Field percentile
- top 5%
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