Genome-Wide SNP Identification and Characterization in Two Soybean Cultivars with Contrasting Mungbean Yellow Mosaic India Virus Disease Resistance Traits

  • Chandra Yadav
  • , Priyanka Bhareti
  • , Mehanathan Muthamilarasana
  • , Minakshi Mukherjee
  • , Yusuf Khan
  • , Pushpendra Rathi
  • , Manoj Prasad

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

Mungbean yellow mosaic India virus (MYMIV) is a bipartite Geminivirus, which causes severe yield loss in soybean (Glycine max). Considering this, the present study was conducted to develop large-scale genome-wide single nucleotide polymorphism (SNP) markers and identify potential markers linked with known disease resistance loci for their effective use in genomics-assisted breeding to impart durable MYMIV tolerance. The whole-genome resequencing of MYMIV resistant cultivar 'UPSM-534 ' and susceptible Indian cultivar 'JS-335' was performed to identify high-quality SNPs and InDels (insertion and deletions). Approximately 234 and 255 million of 100-bp paired-end reads were generated from UPSM-534 and JS-335, respectively, which provided ∼98%coverage of reference soybean genome. A total of 3083987 SNPs (1559556 in UPSM-534 and 1524431 in JS-335) and 562858 InDels (281958 in UPSM-534 and 280900 in JS-335) were identified. Of these, 1514 SNPs were found to be present in 564 candidate disease resistance genes. Among these, 829 non-synonymous and 671 synonymous SNPs were detected in 266 and 286 defence-related genes, respectively. Noteworthy, a non-synonymous SNP (in chromosome 18, named 18-1861613) at the 149th base-pair of LEUCINE-RICH REPEAT RECEPTOR-LIKE PROTEIN KINASE gene responsible for a G/C transversion [proline (CCC) to alanine (GCC)] was identified and validated in a set of 12 soybean cultivars. Taken together, the present study generated a large-scale genomic resource such as, SNPs and InDels at a genome-wide scale that will facilitate the dissection of various complex traits through construction of high-density linkage maps and fine mapping. In the present scenario, these markers can be effectively used to design high-density SNP arrays for their large-scale validation and high-throughput genotyping in diverse natural and mapping populations, which could accelerate genomics-assisted MYMIV disease resistance breeding in soybean.

Original languageEnglish
Article numbere0123897
JournalPLoS ONE
Volume10
Issue number4
DOIs
Publication statusPublished - 13 Apr 2015

Keywords

  • Amino Acid Substitution/genetics
  • Base Sequence
  • Begomovirus/physiology
  • Chromosomes, Plant/genetics
  • Disease Resistance/genetics
  • Gene Expression Regulation, Plant
  • Genes, Plant
  • Genome, Plant
  • INDEL Mutation/genetics
  • Molecular Sequence Annotation
  • Molecular Sequence Data
  • Nucleotides/genetics
  • Phenotype
  • Physical Chromosome Mapping
  • Plant Diseases/genetics
  • Polymerase Chain Reaction
  • Polymorphism, Single Nucleotide/genetics
  • Quantitative Trait Loci
  • Quantitative Trait, Heritable
  • Reproducibility of Results
  • Sequence Alignment
  • Sequence Analysis, DNA
  • Soybeans/genetics

Fingerprint

Dive into the research topics of 'Genome-Wide SNP Identification and Characterization in Two Soybean Cultivars with Contrasting Mungbean Yellow Mosaic India Virus Disease Resistance Traits'. Together they form a unique fingerprint.

Cite this