<i>krn1</i>, a major quantitative trait locus for kernel row number in maize

Wang, Jian; Lin, Zhelong; Zhang, Xuan; Liu, Hangqin; Zhou, Leina; Zhong, Shuyang; Li, Yán; Zhu, Can; Lin, Zhongwei

doi:10.1111/nph.15890

Cited by 48 publications

(33 citation statements)

References 48 publications

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“…Accumulating evidence showed that AP2 family genes play pivotal roles in regulating plant growth and development (Scheres and Krizek, 2018; Dipp-Alvarez and Cruz-Ramirez, 2019; Jiang et al, 2019; Wang et al, 2019a). Arabidopsis AtANT was one of the first genes in the family that were functionally characterized; it regulates organ size, floral meristem patterning, and plant defense pathways (Elliott et al, 1996; Krizek et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

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Genome-Wide Identification and Analysis of the AP2 Transcription Factor Gene Family in Wheat (Triticum aestivum L.)

Zhao

et al. 2019

Front. Plant Sci.

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The AP2 transcription factors play important roles in regulating plant growth and development. However, limited data are available on the contributions of AP2 transcription factors in wheat (Triticum aestivum L.). In the present study, a total of 62 AP2 genes were identified in wheat from a genome-wide search against the latest wheat genome data. Phylogenetic and sequence alignment analyses divided the wheat AP2 genes into 3 clusters, euAP2, euANT, and basalANT. Chromosomal distribution, gene structure and duplication, and motif composition were subsequently investigated. The 62 TaAP2 genes were unevenly distributed on 21 chromosomes. Twenty-four homologous gene sets among A, B, and D sub-genomes were detected, which contributed to the expansion of the wheat AP2 gene family. The expression levels of TaAP2 genes were examined using the WheatExp database; most detected genes exhibited tissue-specific expression patterns. The transcript levels of 9 randomly selected TaAP2 genes were validated through qPCR analyses. Overexpression of TaAP2-10-5D, the most likely homolog of Arabidopsis ANT gene, increased organ sizes in Arabidopsis. Our results extend our knowledge of the AP2 gene family in wheat, and contribute to further functional characterization of AP2s during wheat development with the ultimate goal of improving crop production.

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Section: Discussionmentioning

confidence: 99%

“…In the ids1 mutant, the spikelet meristem becomes indeterminate and produces additional florets (Chuck et al, 2008). It was also reported that maize AP2-like gene glossy15 regulates leaf epidermal cell identity (Moose and Sisco, 1996) and kernel row number 1 (krn1) enhanced kernel row numbers (Wang et al, 2019a).…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Identification and Analysis of the AP2 Transcription Factor Gene Family in Wheat (Triticum aestivum L.)

Zhao

et al. 2019

Front. Plant Sci.

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“…Therefore, linkage mapping and association mapping have been performed in naturally varying populations with the aim of identifying more elite natural alleles controlling KRN. Although many quantitative trait loci (QTLs) related to KRN were identi ed by linkage mapping in biparental segregating populations, few have been successfully cloned due to their small genetic effects, except for KRN4 [12] and KRN1 [13]. Genome-wide association studies (GWASs) of KRN have also been conducted and revealed many quantitative trait nucleotides (QTNs) [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Association Studies and Whole-Genome Prediction Reveal the Genetic Architecture of KRN in Maize

Chen

et al. 2020

Preprint

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Background: Kernel row number (KRN) is an important trait for the domestication and improvement of maize. To explore the genetic basis of KRN has great research significance and can provide the valuable information for molecular assisted selection.Results: In this study, one single-locus method (MLM) and six multi-locus methods (mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB and ISIS EM-BLASSO) of genome-wide association studies (GWASs) were used to identify significant quantitative trait nucleotides (QTNs) for KRN in an association panel including 639 maize inbred lines that were genotyped by the MaizeSNP50 BeadChip. In three phenotyping environments and with best linear unbiased prediction (BLUP) values, seven GWAS methods revealed different numbers of KRN-associated QTNs, ranging from 11 to 177. Based on these results, seven important regions for KRN located on chromosomes 1, 2, 3, 5, 9, and 10 were identified by at least three methods and in at least two environments. Moreover, 49 genes from the seven regions were expressed in different maize tissues. Among the 49 genes, ARF29 (Zm00001d026540, encoding auxin response factor 29) and CKO4 (Zm00001d043293, encoding cytokinin oxidase protein) were significantly related to KRN based on expression analysis and candidate gene association mapping. Whole-genome prediction (WGP) for KRN was also performed, and we found that the KRN-associated tagSNPs achieved a high prediction accuracy. The best strategy was to integrate the total KRN-associated tagSNPs identified by all GWAS models. Conclusions: These results aid in our understanding of the genetic architecture of KRN and provide useful information for genomic selection for KRN in maize breeding.

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“…The analysis of key genes for crop yield traits and their genetic regulatory networks is a scientific problem that must be solved for the improvement of crop yields. APETALA2/ethylene response factor (AP2/ERF), auxin response factors (ARFs) and MADS genes are key factors in grain yield traits and crop domestication (Harrop et al, 2019;Li et al, 2019;Wang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Regulator Network Analysis of Rice and Maize Yield-Related Genes

Chen

Shen

et al. 2020

Front. Cell Dev. Biol.

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Rice and maize are the principal food crop species worldwide. The mechanism of gene regulation for the yield of rice and maize is still the research focus at present. Seed size, weight and shape are important traits of crop yield in rice and maize. Most members of three gene families, APETALA2/ethylene response factor, auxin response factors and MADS, were identified to be involved in yield traits in rice and maize. Analysis of molecular regulation mechanisms related to yield traits provides theoretical support for the improvement of crop yield. Genetic regulatory network analysis can provide new insights into gene families with the improvement of sequencing technology. Here, we analyzed the evolutionary relationships and the genetic regulatory network for the gene family members to predicted genes that may be involved in yield-related traits in rice and maize. The results may provide some theoretical and application guidelines for future investigations of molecular biology, which may be helpful for developing new rice and maize varieties with high yield traits.

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krn1, a major quantitative trait locus for kernel row number in maize

Cited by 48 publications

References 48 publications

Genome-Wide Identification and Analysis of the AP2 Transcription Factor Gene Family in Wheat (Triticum aestivum L.)

Genome-Wide Identification and Analysis of the AP2 Transcription Factor Gene Family in Wheat (Triticum aestivum L.)

Genome-Wide Association Studies and Whole-Genome Prediction Reveal the Genetic Architecture of KRN in Maize

Regulator Network Analysis of Rice and Maize Yield-Related Genes

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