Microcystin production in Microcystis aeruginosa: effect of type of strain, environmental factors, nutrient concentrations, and N:P ratio on mcyA gene expression

2015 ◽  
Vol 50 (1) ◽  
pp. 103-119 ◽  
Author(s):  
Rosa María Pineda-Mendoza ◽  
Gerardo Zúñiga ◽  
Fernando Martínez-Jerónimo
Harmful Algae ◽  
2011 ◽  
Vol 12 ◽  
pp. 95-104 ◽  
Author(s):  
Sabine Jähnichen ◽  
Benedict M. Long ◽  
Thomas Petzoldt

2017 ◽  
Vol 27 ◽  
pp. 235-243 ◽  
Author(s):  
Pedro Geada ◽  
Ricardo N. Pereira ◽  
Vítor Vasconcelos ◽  
António A. Vicente ◽  
Bruno D. Fernandes

2013 ◽  
Vol 221 ◽  
pp. S109
Author(s):  
Stella Bortoli ◽  
Diogo de Oliveira Silva ◽  
Dietrich A. Volmer ◽  
Ernani Pinto

2022 ◽  
Vol 11 (1) ◽  
pp. 64-70
Author(s):  
Benjun Zhou ◽  
Zhen Wang

Abstract In the present study, the effects of nitrogen (N) and phosphorus (P) on the growth of Microcystis aeruginosa and the production of microcystins (MCs) were investigated. The results showed that the growth of M. aeruginosa was not merely determined by N or P, but both nutrients were limiting for the species. Moreover, an excess of N and constant P in the culture medium could stimulate the growth of M. aeruginosa, whereas the growth of the species was inhibited in the culture medium containing excess of P and constant N. The optimal growth of M. aeruginosa was at an N:P ratio of 0.1 with the maximal optical density of 1.197 at 680 nm (OD680), whereas the maximal microcystin-LR (MC-LR) content of 228.2 μg·L−1 observed in the culture medium with an N:P ratio of 5. Interestingly, MC-LR production occurred under conditions of N starvation, thereby suggesting that the growth rate of M. aeruginosa was not related to MC-LR production under conditions of nutrient stress.


2019 ◽  
Vol 655 ◽  
pp. 181-187 ◽  
Author(s):  
Yanping Zhou ◽  
Xufeng Zhang ◽  
Xuan Li ◽  
Peili Jia ◽  
Ruihua Dai

2018 ◽  
Vol 9 (1) ◽  
pp. 378-392 ◽  
Author(s):  
Martin Helmkampf ◽  
M. Renee Bellinger ◽  
Monika Frazier ◽  
Misaki Takabayashi

2020 ◽  
Author(s):  
Tatyana Dobreva ◽  
David Brown ◽  
Jong Hwee Park ◽  
Matt Thomson

AbstractAn individual’s immune system is driven by both genetic and environmental factors that vary over time. To better understand the temporal and inter-individual variability of gene expression within distinct immune cell types, we developed a platform that leverages multiplexed single-cell sequencing and out-of-clinic capillary blood extraction to enable simplified, cost-effective profiling of the human immune system across people and time at single-cell resolution. Using the platform, we detect widespread differences in cell type-specific gene expression between subjects that are stable over multiple days.SummaryIncreasing evidence implicates the immune system in an overwhelming number of diseases, and distinct cell types play specific roles in their pathogenesis.1,2 Studies of peripheral blood have uncovered a wealth of associations between gene expression, environmental factors, disease risk, and therapeutic efficacy.4 For example, in rheumatoid arthritis, multiple mechanistic paths have been found that lead to disease, and gene expression of specific immune cell types can be used as a predictor of therapeutic non-response.12 Furthermore, vaccines, drugs, and chemotherapy have been shown to yield different efficacy based on time of administration, and such findings have been linked to the time-dependence of gene expression in downstream pathways.21,22,23 However, human immune studies of gene expression between individuals and across time remain limited to a few cell types or time points per subject, constraining our understanding of how networks of heterogeneous cells making up each individual’s immune system respond to adverse events and change over time.


Sign in / Sign up

Export Citation Format

Share Document