sp. nov., Causing Leaf Blight Disease of Water Hyacinth from Thailand.

Mycobiology

National Science and Technology Development Agency, Plant Microbe Interaction Research Team (APMT), Integrative Crop Biotechnology and Management Research Group (ACBG), BIOTEC, Pathum Thani, Thailand.

Published: February 2022

sp. nov. was observed and collected from Chiang Mai and Phetchaburi Provinces, Thailand. This new species is introduced based on morphological and molecular evidence. This fungus is characterized by its production of sporodochium conidiomata with a white setose fringe surrounding an olivaceous green to dark green slimy mass of conidia, penicillately branched conidiophores, and aseptate and cylindrical to ellipsoid conidia. Phylogenetic analyses of combined LSU rDNA, ITS rDNA, , , and sequence data using maximum parsimony, maximum likelihood and Bayesian approaches placed the fungus in a strongly supported clade with other species in Stachybotryaceae (Hypocreales, Sordariomycetes). The descriptions of the species are accompanied by illustrations of morphological features, and a discussion of the related taxa is presented.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890543PMC
http://dx.doi.org/10.1080/12298093.2022.2027683DOI Listing

Publication Analysis

Top Keywords

nov causing
4
causing leaf
4
leaf blight
4
blight disease
4
disease water
4
water hyacinth
4
hyacinth thailand
4
thailand nov
4
nov observed
4
observed collected
4

Similar Publications

Purpose: To employ a validated survey for evaluation of quality of life (QoL) outcomes and associated factors in a US cohort of adult patients with acquired anophthalmia wearing a prosthesis.

Methods: A retrospective cohort study was performed at a single, US academic institution of patients cared for between 2012 and 2021. The electronic medical record database was queried for adult patients with a history of evisceration or enucleation surgery and placement of an orbital implant.

View Article and Find Full Text PDF

The identification of cancer driver genes is crucial for understanding the complex processes involved in cancer development, progression, and therapeutic strategies. Multi-omics data and biological networks provided by numerous databases enable the application of graph deep learning techniques that incorporate network structures into the deep learning framework. However, most existing methods do not account for the heterophily in the biological networks, which hinders the improvement of model performance.

View Article and Find Full Text PDF

sp. nov., a novel basidiomycetous yeast species isolated from pine tree bark in Gyeongju, South Korea.

Int J Syst Evol Microbiol

January 2025

Department of Food Science and Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea.

A novel yeast species, isolated from the bark of pine trees in Gyeongju, South Korea, and designated as KCTC 37304 (ex-type KACC 410729), is characterized by its genetic, morphological and physiological properties. Molecular phylogenetic analysis involving the D1/D2 domain of the 26S LSU rRNA gene and the internal transcribed spacer (ITS) region confirms that it belongs to the genus . In comparison to CBS:10065, the type strain of its closest relative, KCTC 37304 exhibits 8 nucleotide substitutions (~2.

View Article and Find Full Text PDF

Six strains (DMKU-SG26, DMKU-SG42, DMKU-SYM22, DMKU-RG41, DMKU-RX317 and DMKU-RGM25) representing a novel basidiomycetous yeast species were isolated from leaf surfaces of mangrove plants collected in Thailand. Pairwise sequence analysis indicated that the six strains either had identical nucleotide substitution in the D1/D2 domains of the large subunit (LSU) rRNA gene sequences or differed by one to three nucleotide(s). They also had identical or differed by one to five nucleotide substitution(s) in the internal transcribed spacer (ITS) regions.

View Article and Find Full Text PDF

A novel strain DW16-2, isolated from duckweed (), was taxonomically studied in detail. The analysis based on its 16S rRNA gene sequence revealed that the strain was most closely related to Y8 (98.8%), followed by YIM 61452 (98.

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!