ArticlePLoS genetics2015
KRN4 Controls Quantitative Variation in Maize Kernel Row Number.
Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
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88 citing papers in PubMed, 201 citations in OpenAlex.
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- SBP-Box Transcription Factor JcSPL9 Regulates Both Seed Yield and Oil Content in the Biofuel Plant Jatropha curcas.Plant biotechnology journal · 2026Article
- ERECTA genes and their ligands regulate shoot and inflorescence architecture in maize.Nature communications · 2026Article
- Decades' progress and prospects on maize functional genomics and molecular breeding.Science China. Life sciences · 2025Review
- Optimizing thiamine pyrophosphate metabolism enhances crop yield and quality.Nature communications · 2025Article
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- Identification of yield-related QTLs and their applications using DH population in maize.BMC genomics · 2025Article
- A transcription factor ensemble orchestrates bundle sheath expression in rice.Nature communications · 2025Article
- How Structural Variations Influence Crop Improvement.International journal of molecular sciences · 2025Review
- An ancient origin of the naked grains of maize.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Constraint of accessible chromatins maps regulatory loci involved in maize speciation and domestication.Nature communications · 2025Article
- Comparative transcriptome analysis identified candidate genes associated with kernel row number in maize.PeerJ · 2025Article
- KRN5b regulates maize kernel row number through mediating phosphoinositol signalling.Plant biotechnology journal · 2024Article
- Combined Genome-Wide Association Study and Linkage Analysis for Mining Candidate Genes for the Kernel Row Number in Maize (Plants (Basel, Switzerland) · 2024Article
- Identification and segregation of two closely linked major QTLs for kernel row number in advanced maize-teosinte populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Determination of single or paired-kernel-rows is controlled by two quantitative loci during maize domestication.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-Wide Association Studies on the Kernel Row Number in a Multi-Parent Maize Population.International journal of molecular sciences · 2024Article
28 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kernel row number (KRN) is an important component of yield during the domestication and improvement of maize and controlled by quantitative trait loci (QTL). Here, we fine-mapped a major KRN QTL, KRN4, which can enhance grain productivity by increasing KRN per ear. We found that a ~3-Kb intergenic region about 60 Kb downstream from the SBP-box gene Unbranched3 (UB3) was responsible for quantitative variation in KRN by regulating the level of UB3 expression. Within the 3-Kb region, the 1.2-Kb Presence-Absence variant was found to be strongly associated with quantitative variation in KRN in diverse maize inbred lines, and our results suggest that this 1.2-Kb transposon-containing insertion is likely responsible for increased KRN. A previously identified A/G SNP (S35, also known as Ser220Asn) in UB3 was also found to be significantly associated with KRN in our association-mapping panel. Although no visible genetic effect of S35 alone could be detected in our linkage mapping population, it was found to genetically interact with the 1.2-Kb PAV to modulate KRN. The KRN4 was under strong selection during maize domestication and the favorable allele for the 1.2-Kb PAV and S35 has been significantly enriched in modern maize improvement process. The favorable haplotype (Hap1) of 1.2-Kb-PAV-S35 was selected during temperate maize improvement, but is still rare in tropical and subtropical maize germplasm. The dissection of the KRN4 locus improves our understanding of the genetic basis of quantitative variation in complex traits in maize.
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