Abstract

Maize is the third most important cereal crop worldwide. However, its production is vulnerable to heat stress, which is expected to become more and more severe in coming years. Germplasm resilient to heat stress has been identified, but its underlying genetic basis remains poorly understood. Genomic mapping technologies can fill the void, provided robust markers are available to tease apart the genotype-phenotype relationship. In the present investigation, we used data from an RNA-seq experiment to identify single nucleotide polymorphisms (SNPs) between two contrasting lines, LM11 and CML25, sensitive and tolerant to heat stress, respectively. The libraries for RNA-seq were made following heat stress treatment from three separate tissues/organs, comprising the top leaf, ovule, and pollen, all of which are highly vulnerable to damage by heat stress. The single nucleotide variants (SNVs) calling used STAR mapper and GATK caller pipelines in a combined approach to identify highly accurate SNPs between the two lines. A total of 554,423, 410,698, and 596,868 SNVs were discovered between LM11 and CML25 after comparing the transcript sequence reads from the leaf, pollen, and ovule libraries, respectively. Hundreds of these SNPs were then selected to develop into genome-wide Kompetitive Allele-Specific PCR (KASP) markers, which were validated to be robust with a successful SNP conversion rate of 71%. Subsequently, these KASP markers were used to effectively genotype an F2 mapping population derived from a cross of LM11 and CML25. Being highly cost-effective, these KASP markers provide a reliable molecular marker toolkit to not only facilitate the genetic dissection of the trait of heat stress tolerance but also to accelerate the breeding of heat-resilient maize by marker-assisted selection (MAS).

Highlights

  • Maize ranks third behind wheat and rice as a staple cereal crop worldwide [1]

  • We demonstrate the convenience of using RNA-seq data to develop the single nucleotide polymorphism (SNPs)-based Kompetitive Allele-Specific PCR (KASP) assay markers, and how they were subsequently used in a timely and cost-effective manner to genetically dissect the trait of heat stress tolerance in maize

  • For the development of potential KASP assay markers, genomic locations of DEGs that we identified in our previous transcriptome study of the LM11 and CML25 was used as streamline [42], and a total of 100 SNPs site spanning all 10 chromosomes of maize were selected from leaf variants

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Summary

Introduction

Maize ranks third behind wheat and rice as a staple cereal crop worldwide [1]. In terms of yield, it is one of the most productive grain crops. The heat stress caused by high temperatures (around 40 ◦C and beyond) is especially damaging during flowering, reducing drastically the viability of pollen and receptivity of silks, thereby plunging grain yields [4,5]. Some maize lines do exist that are able to withstand heat stress caused by these extreme temperatures, the genetic basis and mechanisms underlying these heat-resilient lines remain poorly studied. Genomic studies provide a promising tool to locate and identify genes/quantitative trait loci (QTL) responsible for the trait of heat resilience, thereby opening up opportunities to develop valuable genetic and molecular markers for marker-assisted selection (MAS) to produce climate-resilient crops. SNPs are the preferred markers for germplasm characterization, QTL mapping by genetic linkage or association studies, allele mining, and genomic selection studies [7,8]

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