Recent advances in the biosensors application for reviving infectious disease management in silkworm model: a new way to combat microbial pathogens.

Silkworms are an essential economic insect but are susceptible to diseases during rearing, leading to yearly losses in cocoon production. While chemical control is currently the primary method to reduce disease incidences, its frequent use can result in loss of susceptibility to pathogens and, ultimately, antibiotic resistance. To effectively prevent or control disease, growers must accurately, sensitively, and quickly detect causal pathogens to determine the best management strategies. Accurate recognition of diseased silkworms can prevent pathogen transmission and reduce cocoon loss. Different pathogen detection methods have been developed to achieve this objective, but they need more precision, specificity, consistency, and promptness and are generally unsuitable for in-situ analysis. Therefore, detecting silkworm diseases under rearing conditions is still an unsolved problem. As a consequence of this, there is an enormous interest in the development of biosensing systems for the early and precise identification of pathogens. There is also significant room for improvement in translating novel biosensor techniques to identify silkworm pathogens. This study explores the types of silkworm diseases, their symptoms, and their causal microorganisms. Moreover, we compare the traditional approaches used in silkworm disease diagnostics along with the latest sensing technologies, with a precise emphasis on lateral flow assay-based biosensors that can detect and manage silkworm pathogens.

Genomic dataset of a multiple-drug resistant Pseudomonas sp. strain RAC1 isolated from a flacherie infected Nistari race of Bombyx mori L.

Species belonging to the genus Pseudomonas is a rod shaped Gram-negative bacteria emerged as an important silkworm pathogen with broad-level multi-drug resistance. The extensive usage of antimicrobials in sericulture farming is gradually leading to the emergence of multi-drug resistance (MDR) strains, posing a significant threat to the well-being of both Bombyx mori L. and serifarmers. Pseudomonas spp. with MDR level may gets transmitted from the infected silkworm to human handlers either via direct contact or through contaminated feces. To understand the emerging concern of antimicrobial resistance (AMR) in Pseudomonas spp. provides insights into their genomic information. Here, we present the draft genome sequence data of Pseudomonas sp. strain RAC1 isolated from a flacherie infected Nistari race of Bombyx mori L. from the silkworm rearing house of Raiganj University, India and sequenced using the Illumina NovaSeq 6000 platform. The estimated genome size of the strain was 4494347 bp with a G + C content of 63.5%. The de novo assembly of the genome generated 38 contigs with an N50 of 200 kb. Our data might help to reveal the genetic diversity, underlying mechanisms of AMR and virulence potential of Pseudomonas spp. This draft-genome shotgun project has been deposited under the NCBI GenBank accession number NZ_JAUTXS000000000.