PLoS ONE (Jan 2023)

Designed and validated novel allele-specific primer to differentiate Kernel Row Number (KRN) in tropical field corn.

  • Ganapati Mukri,
  • Kumari Shilpa,
  • R N Gadag,
  • Jayant S Bhat,
  • Chandu Singh,
  • Navin C Gupta,
  • Chandra Prabha,
  • Sahana Police Patil

DOI
https://doi.org/10.1371/journal.pone.0284277
Journal volume & issue
Vol. 18, no. 4
p. e0284277

Abstract

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BackgroundKernel row number (KRN) is an important yield component trait with a direct impact on the productivity of maize. The variability in KRN is influenced by the inflorescence meristem size, which is determined by the CLAVATA-WUSCHEL pathway. A CLAVATA receptor-like protein, encoded by the FASCIATED EAR2 (fea2gene), enhances the growth of inflorescence meristem and is thus involved in the determination of KRN. The amplicon sequencing-based method was employed to dissect the allelic variation of the fea2 gene in tropical field corn.Methodology/principal findingAmplicon-based sequencing of AI 535 (Low KRN) and AI 536 (High KRN) was undertaken for the gene fea 2 gene that codes for KRN in maize. Upon multiple sequence alignment of both sequences, A to T transversion at the 1311 position was noticed between Low KRN and High KRN genotypes resulting in different allelic forms of a fea2 gene in tropical maize. An allele-specific primer 1311 fea2.1 was designed and validated that can differentiate High and Low KRN genotypes.Conclusion/significanceMaize has high variability for KRN and is exemplified by the wide values ranging from 8-26 KRN in the maize germpalsm. The sequence-based approach of SNP detection through the use of a specific primer facilitated the detection of variation present in the target trait. This makes it possible to capture these variations in the early generation. In the study, the PCR-based differentiation method described for the identification of desirable high KRN genotypes would augment the breeding programs for improving the productivity of field corn.