Vegetative cells of Sporolactobacillus showed average resistance to gamma-irradiation compared to other vegetative bacteria with D10 values ranging from 0.350 to 0.525 kGy. Endospores of Sporolactobacillus showed higher resistance to gamma-irradiation than most Bacillus species but were close to that of Clostridium species. The average D10 value for Sporolactobacillus endospores was 2.5 kGy.
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http://dx.doi.org/10.1016/0168-1605(88)90009-8 | DOI Listing |
Vavilovskii Zhurnal Genet Selektsii
November 2024
Federal Scientific Center of the East Asia Terrestrial Biodiversity of the Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia.
During the study of algal diversity in pyroclastic deposits of the Kamchatka Peninsula, Chlorella-like green algae strains VCA-72 and VCA-93 were isolated from samples collected from along the Baydarnaya river bed on the Shiveluch volcano in 2018 and at the outlet of thermal vapors along the edge of the caldera on the southern slope of the Gorely volcano in 2020. Identification of the strains was carried out within the framework of an integrative approach using microscopic and molecular genetic methods, including preliminary taxon identification, obtaining nucleotide sequences of the small subunit and the internal transcribed spacer rRNA, reconstruction of phylogenetic trees and secondary structures of the ITS1 and ITS2 rRNA regions. On the phylogenetic tree, strain VCA-93 was clustered in the Micractinium thermotolerans species clade.
View Article and Find Full Text PDFMicrob Pathog
December 2024
Centro de Investigación y Desarrollo en Ciencia y Tecnología de los Alimentos (CCT- La Plata CONICET, CIC-PBA, Facultad de Ciencias Exactas, UNLP), Argentina; Cátedra de Microbiología. Departamento de Ciencias Biológicas, Facultad de Ciencias Exactas, UNLP), Argentina; Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina. Electronic address:
Clostridioides difficile is a spore-forming pathogen capable of causing severe disease in humans. Critical stages in the biological cycle of this microorganism include sporogenesis/germination and toxin production by vegetative cells. Antagonizing these pivotal events could aid in prevention and treatment to manage this pathogen.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Pharmacognosy, Faculty of Pharmacy, Helwan University, POB 1179, Cairo, Egypt.
The manipulation of cultivation conditions in addition to environmental changes is a key factor affecting the growth, secondary metabolites production, and the biological activity of the plant. Our study aims to evaluate the impact of foliar spray of ethephon, water stress, organic and inorganic fertilizers on the cytotoxic and antimicrobial activities of the fruit oil of Foeniculum vulgare, Miller, var. dulce and its vegetative growth and oil composition.
View Article and Find Full Text PDFBMC Biol
December 2024
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Background: The complete mitochondrial respiratory chain is a precondition for maintaining cellular energy supply, development, and metabolic balance. Due to the evolutionary differentiation of complexes and the semi-autonomy of mitochondria, respiratory chain subunits have become critical targets for crop improvement and fungal control. In fungi, mitochondrial complex I mediates growth and metabolism.
View Article and Find Full Text PDFBioresour Technol
December 2024
Department of Chemical Engineering, Technical University of Denmark, DTU, Søltofts Plads 228A, Lyngby 2800, Denmark.
Optimal control and process optimization of astaxanthin production from Haematococcuslacustris is directly linked to its complex cell cycle ranging from vegetative green cells to astaxanthin-rich cysts. This study developed an automated online monitoring system classifying four different cell cycle stages using a scanning microscope. Decision-tree based machine learning and deep learning convolutional neural network algorithms were developed, validated, and evaluated.
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