Cysteine-rich receptor-like-kinases (CRKs), a transmembrane subfamily of receptor-like kinase, play crucial roles in plant adaptation. As such cotton is the major source of fiber for the textile industry, but environmental stresses are limiting its growth and production. Here, we have performed a deep computational analysis of CRKs in five Gossypium species, including G. arboreum (60 genes), G. raimondii (74 genes), G. herbaceum (65 genes), G. hirsutum (118 genes), and G. barbadense (120 genes). All identified CRKs were classified into 11 major classes and 43 subclasses with the finding of several novel CRK-associated domains including ALMT, FUSC_2, Cript, FYVE, and Pkinase. Of these, DUF26_DUF26_Pkinase_Tyr was common and had elevated expression under different biotic and abiotic stresses. Moreover, the 35 land plants comparison identified several new CRKs domain-architectures. Likewise, several SNPs and InDels were observed in CLCuD resistant G. hirsutum. The miRNA target side prediction and their expression profiling in different tissues predicted miR172 as a major CRK regulating miR. The expression profiling of CRKs identified multiple clusters with co-expression under certain stress conditions. The expression analysis under CLCuD highlighted the role of GhCRK057, GhCRK059, GhCRK058, and GhCRK081 in resistant accession. Overall, these results provided primary data for future potential functional analysis as well as a reference study for other agronomically important crops.
SARS-CoV-2 has been found to be the leading cause of the outbreak of coronavirus disease 2019 (COVID-19) globally. The disease is triggered by a new form of coronavirus and is characterized by acute respiratory distress syndrome (ARDS) or some primary chills. It was originated from a wet market in Wuhan, China and has engulfed 6.39 million lives globally uptillseptember-2022. Historically, the world has witnessed many noticeable epidemics in the form of, SARS-CoV (2002 to 2003), H1N1 influenza in 2009, and the most recent Middle East Respiratory Syndrome coronavirus (MERS-CoV), which erupted in Saudi Arabia in 2012. Different people get this disease with different symptoms including mild to severe illness. The molecular and cellular basis of SARS-CoV-2 pathogenesis gives us in-depth mechanisms involved. Experimental investigations have elaborated bats as the primary host for viral the transmission behind COVID-19. Moreover, the anatomy of the virus revealed its RNA based on the genome, which makes its therapeutic interventions more challenging. By the involvement of pre-analytic, analytic, and post-analytical strategies, patients with acute or chronic pneumonia can be distinguished as infected or not. Artificial intelligence has embarked significant importance in the course of viral detection based on computer algorithms. Furthermore, chemical or immune-based therapies were examined for finding a permanent solution to this epidemic issue. This review would cover every emerging aspect of pathogenesis, diagnosis, management, and the latest therapeutic interventions in the course of COVID-19 treatment. By giving rapidly evolving knowledge about this virus, readers are urged to update themselves regularly.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.