Revisiting : Morphological Characterization and Molecular Phylogenetic Analysis.

Mycobiology

Division of Environmental Science and Ecological Engineering, College of Life Sciences and Biotechnology, Korea University, Seoul, Korea.

Published: April 2022

AI Article Synopsis

  • The tar spot fungus was first identified in 1902 and has been found on several plant species in China, Japan, and Korea, but previous records lacked formal identification methods.
  • Researchers confirmed the presence of the tar spot fungus in Korea using both morphological examinations and molecular analyses on six new specimens.
  • This study distinguishes the identified tar spot fungus from a similar species based on differences in ascospore size and geographical distribution, while also providing useful DNA sequence data for future identification.

Article Abstract

was identified as a tar spot fungus on sp. in 1902, and has since been recorded on several species of in China, Japan, and Korea. Most of the previous records of have been based on a list of disease occurrences in the absence of any formal morphological identification or molecular analyses. Using six newly obtained specimens collected in the past 2 years, we confirmed the tar spot fungus found on in Korea as based on morphological examinations and molecular phylogenetic analyses. This fungus was distinguished from , another tar spot fungus on , by ascospore size and geographical distributions. We present detailed mycological information and, for the first time, DNA sequence data useful for the identification of .

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067980PMC
http://dx.doi.org/10.1080/12298093.2022.2054527DOI Listing

Publication Analysis

Top Keywords

tar spot
12
spot fungus
12
molecular phylogenetic
8
revisiting morphological
4
morphological characterization
4
characterization molecular
4
phylogenetic analysis
4
analysis identified
4
identified tar
4
fungus
4

Similar Publications

Visual detection of stromata (brown-black, elevated fungal fruiting bodies) is the primary method for quantifying tar spot early in the season because these structures are definitive signs of the disease and essential for effective disease monitoring and management. Here, we present the Stromata Contour Detection Algorithm version 2 (SCDA v2), which addresses the limitations of the previously developed SCDA version 1 (SCDA v1), without the need to empirically search for optimal decision-making input parameters (DMIPs) while achieving higher and consistent accuracy in tar spot stromata detection. SCDA v2 operates in two components: (i) SCDA v1 producing tar spot-like region proposals for a given input corn leaf Red-Green-Blue (RGB) image and (ii) a pretrained convolutional neural network (CNN) classifier identifying true tar spot stromata from the region proposals.

View Article and Find Full Text PDF

Tar spot of corn ( L.) is a significant disease in the United States and Canada caused by , an obligate biotroph fungus. However, field research critical for understanding and managing the disease has been hindered by a need for methods to inoculate corn with in field environments.

View Article and Find Full Text PDF

Genome-Informed Trophic Classification and Functional Characterization of Virulence Proteins from the Maize Tar Spot Pathogen .

Phytopathology

August 2024

Crop Production and Pest Control Research Unit, U.S. Department of Agriculture-Agricultural Research Service, West Lafayette, IN 47907.

Article Synopsis
  • The text discusses a foliar fungal pathogen responsible for tar spot disease in maize, emphasizing the limited understanding of its lifestyle and the role of effector proteins.
  • The study adopts a genome-informed approach to predict the pathogen’s lifestyle and functionally analyze selected effector proteins, revealing that it possesses carbohydrate-active enzymes typical of biotrophic fungi.
  • Key findings include the identification of specific effector proteins that may suppress plant immune responses and their structural similarities to known fungal effectors, shedding light on mechanisms involved in disease development.
View Article and Find Full Text PDF

Vetiver grass () has received extensive attention in recent years due to its diverse applications in soil and water conservation, heavy metal remediation, as well as essential oil and phenolic acids extraction. In 2019, the emergence of tar spot disease on was documented in Zhanjiang, Guangdong Province, China. Initially, the disease manifested as black ascomata embedded within leaf tissue, either scattered or clustered on leaf surfaces.

View Article and Find Full Text PDF

The Levantine basin (LB) in the Southeastern Mediterranean Sea is a high-risk oil pollution hot spot owing to its dense maritime traffic and intense oil and gas exploration and exploitation activities. In February 2021 the Israeli LB shorelines were impacted by an exceptional tar pollution event (~550 tons; average distribution: ~3 kg tar m front beach) of an unknown oil spill source. Here we report on the immediate numerical modelling assessment of the oil spill propagation and tar distribution; operational use of underwater gliders for tracking water column anomalies of dissolved polycyclic aromatic hydrocarbons (PAHs) and turbidity signals; the beached tar composition and amounts and the short-term response of the microbial population along the ~180 km shoreline.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!