Publications by authors named "Vijayagowri Esvaran"

Sorghum downy mildew (SDM), caused by the biotrophic fungi threatens maize production worldwide, including India. To identify quantitative trait loci (QTL) associated with resistance to SDM, we used a recombinant inbred line (RIL) population derived from a cross between resistant inbred line UMI936 (w) and susceptible inbred line UMI79. The RIL population was phenotyped for SDM resistance in three environments [E1-field (Coimbatore), E2-greenhouse (Coimbatore), and E3-field (Mandya)] and also utilized to construct the genetic linkage map by genotyping by sequencing (GBS) approach.

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Pebrine is one of the devastating diseases mostly caused by notorious Nosema - a microsporidian infecting silkworms. Identification of novel genes associated with the pathogen plays a key role in developing a reliable diagnostic tool for the detection of disease. Targeting potential biomarkers will help in developing strategies for fast and efficient control measures, which can prevent the spread of infection.

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A comparison of the cDNA sequences (1 056 bp) of Bombyx mori DnaJ 5 homolog with B. mori genome revealed that unlike in other Hsps, it has an intron of 234 bp. The DnaJ 5 homolog contains 351 amino acids, of which 70 contain the conserved DnaJ domain at the N-terminal end.

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Synopsis of recent research by authors named "Vijayagowri Esvaran"

  • - Vijayagowri Esvaran's research primarily focuses on plant pathology and molecular biology, with significant studies on resistance mechanisms to diseases affecting crops like maize and silkworms.
  • - One of the notable findings includes the identification of quantitative trait loci (QTL) associated with sorghum downy mildew resistance in maize, utilizing a recombinant inbred line population for phenotypic and genotypic analysis.
  • - Additionally, Esvaran's work on silkworms addresses the diagnosis of pebrine disease through the targeting of essential genes in Nosema, underscoring the importance of biomarker identification for effective disease management.