Monthly Archives: December 2019

Dual RNA-Seq analysis of Medicago truncatula and the pea powdery mildew Erysiphe pisi uncovers distinct host transcriptional signatures during incompatible and compatible interactions and pathogen effector candidates

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Powdery mildew is a serious fungal disease of legumes. A research article published in Genomics by Dr. Chandran’s group provides novel insights into powdery mildew pathogenesis and host resistance mechanisms.  Dual RNA-Seq was used to simultaneously capture host and pathogen transcriptomes at 1 d post-inoculation of resistant and susceptible Medicago truncatula genotypes with the powdery […]

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Lactate dehydrogenase and GPDH1 cooperatively regulate redox balance during Drosophila larval growth.

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 Drosophila melanogaster larval development is characterized by considerable growth and Lactate dehydrogenase (LDH) is crucial for this process because it helps to maintain redox balance within cells by regenerating NAD+ from NADH.  As part of Dr. Jason Tennessen’s team at Indiana University, Dr. Geetanjali Chawla participated in a study that highlight’s the metabolic flexibility of Drosophila larval […]

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Molecular Approaches for Analysis of Drosophila MicroRNAs

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MicroRNAs (miRNAs) belong to a class of small non-coding endogenous RNAs that regulate gene expression at the post-transcriptional level. These small RNAs recognize sequences within 3′ untranslated regions of target mRNAs in complexes referred to as a miRNA-induced silencing complex (miRISC). Drosophila melanogaster has served as an indispensable model system for defining the diverse biological roles of […]

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Genome Sequence of a Potential Plant Growth-Promoting Rhizobacterium, Pseudomonas sp. Strain CK-NBRI-02

Pseudomonas sp. strain CK-NBRI-02 is a potential plant growth-promoting Gram-negative rhizobacterium isolated from the rhizosphere of maize plants growing in fields in Srinagar, Jammu, and Kashmir, India. Here, we report a 5.25-Mb draft assembly of the genome sequence of Pseudomonas sp. strain CK-NBRI-02(or P2; GenBank ID: VSJH00000000) with an average G+C content of 62.47%. Deeper analysis of its genome […]

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Detection of Phytopathogenic Fungal strains

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Phytopathogens infect a large number of economically important plants resulting in massive yield loss globally. The effective and early detection strategy is the first measure to control the disease outbreak. Currently, the diagnosis of phytopathogenic fungus relies on traditional staining and culture techniques, however, they face major limitations such as – need to culture the […]

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