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Murukarthick Jayakodi

Publications and source records attributed to Murukarthick Jayakodi.

3 recordsLinked to original sources

Development of a 10K breeder-friendly SNP chip for faba bean.

INTRODUCTION: Faba bean breeding and genomics have seen steady progress in recent years, supported by genome sequences and high-density genotyping platforms. These tools have been valuable for trait mapping, diversity assessment, and genomic research, but they have limited routine use in breeding programs due to their relatively high cost. Recent progress in establishing an optimized, cost-efficient genotyping-by-sequencing protocol tailored to the large and complex faba bean genome has created the foundation for a more accessible genotyping solution. METHODS: Using this approach, we explored the genetic diversity of faba bean germplasm from various panels, providing a comprehensive representation of the crop's genetic landscape. From this dataset, we identified and selected a high-quality set of informative SNP markers that are evenly distributed across the genome. Building on these resources, we designed a breeder-friendly 10K SNP chip. RESULTS: The 10K SNP chip delivers high accuracy, broad genomic coverage, and affordability. The chip was validated across diverse germplasm panels, demonstrating strong clustering performance, high reproducibility, and applicability to breeding-relevant germplasm. DISCUSSION: This platform offers a cost-effective alternative to higher-density arrays, enabling its integration into genomic selection, marker-assisted breeding, and diversity monitoring, ultimately supporting accelerated genetic gain and the delivery of improved varieties to farmers.

SNP chip

Genetic and genomic resources for turfgrasses: status, applications, and prospects.

Turfgrasses are integral to urban landscapes, providing social, economic, and ecological benefits. With increasing urbanization, there is a growing demand for turfgrasses that remain visually appealing while being resilient to environmental stresses. In this review, we highlight the current state of genetic and genomic resources for turfgrasses, focusing on advancements in the understanding of genes and pathways associated with traits such as disease resistance, stress tolerance, and environmental adaptability. Additionally, we discuss recent progress in implementing genome editing technologies for turfgrasses and their transformative potential for breeding and functional genomics. We examine progress, challenges, and future prospects in leveraging genomic tools for turfgrass improvement. By synthesizing knowledge from diverse studies, we provide a comprehensive overview of the techniques, discoveries, and innovations shaping the future of turfgrass breeding and management.

Poaceae

A haplotype-resolved pangenome of the barley wild relative Hordeum bulbosum.

Wild plants can contribute valuable genes to their domesticated relatives1. Fertility barriers and a lack of genomic resources have hindered the effective use of crop-wild introgressions. Decades of research into barley's closest wild relative, Hordeum bulbosum, a grass native to the Mediterranean basin and Western Asia, have yet to manifest themselves in the release of a cultivar bearing alien genes2. Here we construct a pangenome of bulbous barley comprising 10 phased genome sequence assemblies amounting to 32 distinct haplotypes. Autotetraploid cytotypes, among which the donors of resistance-conferring introgressions are found, arose at least twice, and are connected among each other and to diploid forms through gene flow. The differential amplification of transposable elements after barley and H. bulbosum diverged from each other is responsible for genome size differences between them. We illustrate the translational value of our resource by mapping non-host resistance to a viral pathogen to a structurally diverse multigene cluster that has been implicated in diverse immune responses in wheat and barley.

Hordeum