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Mapping Heterogeneous Population Structure of Mannheimia haemolytica Associated with Pneumonic Infection of Sheep in Southern State Karnataka, India.
Curr Microbiol
June 2024
Indian Council of Agricultural Research-National Institute of Veterinary Epidemiology and Disease Informatics (ICAR- NIVEDI), Yelahanka, Bengaluru, 560064, India.
Article Synopsis
- Mannheimia haemolytica is a key pathogen in pneumonic pasteurellosis, causing significant economic losses for small ruminant farmers, but its epidemiology is under-researched, complicating control efforts.
- A study characterized 27 M. haemolytica isolates via capsular typing and various molecular methods, revealing that serotype A2 was the most prevalent (74%), with specific virulence genes being widely present.
- The research identified 11 sequence types (STs), including new ones, and showed high variability among isolates, indicating the complexity of managing this disease in sheep.
Extent of Resection and Long-Term Outcomes for Appendiceal Adenocarcinoma: a SEER Database Analysis of Mucinous and non-Mucinous Histologies.
Ann Surg Oncol
July 2024
Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Background: Mucinous appendiceal adenocarcinomas (MAA) and non-mucinous appendiceal adenocarcinomas (NMAA) demonstrate differences in rates and patterns of recurrence, which may inform the appropriate extent of surgical resection (i.e., appendectomy versus colectomy).
View Article and Find Full Text PDFGenome Mining and Discovery of Imiditides, a Family of RiPPs with a Class-Defining Aspartimide Modification.
J Am Chem Soc
August 2023
Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States.
Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a large and diverse class of natural products of ribosomal origin. In the past decade, various sophisticated machine-learning-based software packages have been established to discover novel RiPPs that do not resemble the known families. Here, we show that tailoring enzymes that cluster with various RiPP families can serve as effective bioinformatic seeds, providing a complementary approach for novel RiPP discovery.
View Article and Find Full Text PDFRibosomally synthesized and post-translationally modified peptides (RiPPs) are a fascinating class of natural products of ribosomal origins. In the past decade, various sophisticated machine learning-based software packages have been established to discover novel RiPPs that do not resemble the known families. Instead, we argue that tailoring enzymes that cluster with various RiPP families can serve as effective bioinformatic seeds for novel RiPP discovery.
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