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Chaitanya G. Joshi

Researcher at Anand Agricultural University

Publications -  366
Citations -  5095

Chaitanya G. Joshi is an academic researcher from Anand Agricultural University. The author has contributed to research in topics: Gene & Biology. The author has an hindex of 30, co-authored 334 publications receiving 3794 citations. Previous affiliations of Chaitanya G. Joshi include College of Veterinary Science and Animal Husbandry & Indian Institute of Technology Gandhinagar.

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Metagenomic sequence of saline desert microbiota from wild ass sanctuary, Little Rann of Kutch, Gujarat, India

TL;DR: Community metagenomics revealed total 1802 species belonged to 43 different phyla with dominating Marinobacter and Halobacterium genus in bacterial and archaeal domain respectively.
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Detection of theileriosis in cattle and buffaloes by polymerase chain reaction

TL;DR: This study suggests that the PCR based screening is more sensitive and accurate method for diagnosis of tropical theileriosis in cattle and buffaloes.
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Genomic Variations in SARS-CoV-2 Genomes From Gujarat: Underlying Role of Variants in Disease Epidemiology

TL;DR: In this paper, a total of 502 SARS-CoV-2 genomes from Gujarat were sequenced and analyzed to understand its phylogenetic distribution and variants against global and national sequences.
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Myostatin gene silencing by RNA interference in chicken embryo fibroblast cells.

TL;DR: Up to 68% silencing of myostatin mRNA using these shRNA constructs in transiently transfected fibroblasts is reported here, however, associated with induction of interferon responsive genes (OAS1, IFN-β) (3.7-64 folds; p<0.05).
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Illumina Next Generation Sequencing for the Analysis of Eimeria Populations in Commercial Broilers and Indigenous Chickens

TL;DR: Next generation deep amplicon sequencing offers a valuable resource for future Eimeria studies and comparison of MiSeq results with established Internal Transcribed Spacer (ITS) and Sequence Characterised Amplified Region (SCAR) quantitative PCR assays suggest greater sensitivity for the MiSequ approach.