Identification and Confirmation of Virulence Factor Production from , a Causal Agent of Root Rot in Pulses.

is an aggressive pathogen of pulse crops and a causal agent in root rot disease that negatively impacts Canadian agriculture. This study reports the results of a targeted metabolomics-based profiling of secondary metabolism in an 18-strain panel of cultured axenically in multiple media conditions, in addition to an in planta infection assay involving four strains inoculated on two pea cultivars. Multiple secondary metabolites with known roles as virulence factors were detected which have not been previously associated with , including fungal decalin-containing diterpenoid pyrones (FDDPs), fusaoctaxins, sambutoxin and fusahexin, in addition to confirmation of previously reported secondary metabolites including enniatins, fusarins, chlamydosporols, JM-47 and others.

MIBiG 4.0: advancing biosynthetic gene cluster curation through global collaboration.

Specialized or secondary metabolites are small molecules of biological origin, often showing potent biological activities with applications in agriculture, engineering and medicine. Usually, the biosynthesis of these natural products is governed by sets of co-regulated and physically clustered genes known as biosynthetic gene clusters (BGCs). To share information about BGCs in a standardized and machine-readable way, the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard and repository was initiated in 2015.

Impact of time to diagnosis in patients with primary Sjögren's syndrome: a cross-sectional study.

Objectives: Primary Sjögren's syndrome is a chronic autoimmune disease with an inflammation of exocrine glands. It can be difficult to diagnose due to frequently unspecific symptoms, such as fatigue and myalgia. The aim of this study was to investigate the journey of patients prior to the diagnosis of primary Sjögren's syndrome and how this affects the patient-reported outcomes.

Artificial intelligence in rheumatology: status quo and quo vadis-results of a national survey among German rheumatologists.

Background: The development and potential of artificial intelligence (AI) is remarkable. Its application in all medical disciplines, including rheumatology, is attracting attention. To what extent AI is already used in clinical routine in rheumatology is unknown.