Harmful Cyanobacterial Blooms: Biological Traits, Mechanisms, Risks, and Control Strategies

Annual Review of Environment and Resources, Journal Year: 2023, Volume and Issue: 48(1), P. 123 - 147

Published: Sept. 8, 2023

Harmful cyanobacterial blooms (CyanoHABs) impact lakes, estuaries, and freshwater reservoirs worldwide. The duration, severity, spread of CyanoHABs have markedly increased over the past decades will likely continue to increase. This article addresses universal phenomena occurring in many ecosystems Based on analysis ecophysiological traits bloom-forming cyanobacteria their interactions with environmental processes, we summarize decipher driving forces leading initiation, outbreak, persistence blooms. Due coupling effects eutrophication, rising CO 2 levels global warming, a multidisciplinary joint research approach is critical for better understanding CyanoHAB phenomenon its prediction, remediation, prevention. There an urgent need evaluate guide proper use bloom control techniques at large scales, using science-based environmentally friendly approaches.

Language: Английский

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Aerobic anoxygenic phototrophs play important roles in nutrient cycling within cyanobacterial Microcystis bloom microbiomes

Microbiome, Journal Year: 2024, Volume and Issue: 12(1)

Published: May 13, 2024

Abstract Background During the bloom season, colonial cyanobacterium Microcystis forms complex aggregates which include a diverse microbiome within an exopolymer matrix. Early research postulated simple mutualism existing with bacteria benefitting from rich source of fixed carbon and receiving recycled nutrients. Researchers have since hypothesized that represent community synergistic interacting species, interactome, each unique metabolic capabilities are critical to growth, maintenance, demise blooms. Research has also shown aggregate-associated taxonomically different free-living in surrounding water. Moreover, identified little overlap functional potential between members its microbiome, further supporting interactome concept. However, we still lack verification general interaction know about taxa pathways nutrient metabolite cycling aggregates. Results 7-month study bacterial communities comparing Lake Taihu, China, found aerobic anoxygenic phototrophic (AAP) were significantly more abundant than samples, suggesting possible role for AAP overall aggregate function. We then analyzed gene composition 102 high-quality metagenome-assembled genomes (MAGs) bloom-microbiome 10 lakes spanning four continents, compared 12 complete revealed possessed complementary biochemical could serve C, N, S, P cycling. Mapping published transcripts blooms onto comprehensive non-AAP MAG database (226 MAGs) indicated observed high levels expression genes involved bacteria. Conclusions Our results provide strong corroboration first evidence may play important microbiomes.

Language: Английский

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Inferring demographic and selective histories from population genomic data using a two-step approach in species with coding-sparse genomes: an application to human data

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 22, 2024

The demographic history of a population, and the distribution fitness effects (DFE) newly arising mutations in functional genomic regions, are fundamental factors dictating both genetic variation evolutionary trajectories. Although DFE inference has been performed extensively humans, these approaches have generally either limited to simple models involving single or, where complex population inferred, without accounting for potentially confounding selection at linked sites. Taking advantage coding-sparse nature genome, we propose 2-step approach which coalescent simulations first used infer multi-population model, utilizing large non-functional regions that likely free from background selection. We then use forward-in-time perform conditional on demography inferred expected estimation procedure. Throughout, recombination mutation rate maps were account underlying empirical heterogeneity across human genome. Importantly, within this framework it is possible utilize fit multiple aspects data, scheme represents generalized such large-scale species with genomes.

Language: Английский

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Spatiotemporal diversity and community structure of cyanobacteria and associated bacteria in the large shallow subtropical Lake Okeechobee (Florida, United States)

Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14

Published: Aug. 30, 2023

Lake Okeechobee is a large eutrophic, shallow, subtropical lake in south Florida, United States. Due to decades of nutrient loading and phosphorus rich sediments, the eutrophic frequently experiences cyanobacterial harmful algal blooms (cyanoHABs). In past, surveys phytoplankton community structure have been conducted by morphological studies, whereas molecular based studies seldom employed. With increased frequency cyanoHABs (e.g., 2016 2018 Microcystis-dominated blooms), it imperative determine diversity taxa that exist within limnological parameters drive bloom-forming genera. A spatiotemporal study was over course 1 year characterize (cyano)bacterial structure, using 16S rRNA metabarcoding, with coincident collection nutrients, water temperature, major ions), cyanotoxins. The objectives this were elucidate trends identify drivers examine cyanobacteria-bacterial relationships lake. Results indicated communities significantly different between wet dry season, but not periods nitrogen limitation co-nutrient limitation. Throughout year, primarily dominated picocyanobacterium Cyanobium. genera Cuspidothrix, Dolichospermum, Microcystis, Raphidiopsis highly abundant throughout had disparate requirements niches Anatoxin-a, microcystins, nodularins detected across both seasons. There no correlated (cyano)bacteria shared common cyanobacteria Raphidiopsis. This first its kind use methods assess These data greatly improve our understanding physiochemical which may Okeechobee.

Language: Английский

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N2 Sleep Inspires Insight

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 28, 2024

Abstract Humans sometimes have an insight that leads to a sudden and drastic performance im-provement on the task they are working on. The precise origins of such insights unknown. Some evidence has shown sleep facilitates insights, while other work not found relationship. One recent suggestion could explain this mixed is different stages differential effects insight. In addition, computational suggested neural variability regularisation play role in increasing likelihood To investigate link between as well regularisation, we conducted preregistered study which N=90 participants performed perceptual before after 20 minute daytime. Sleep EEG data showed N2 sleep, but N1 increases nap, suggesting specific deeper sleep. Exploratory analyses power spectra spectral slopes predict beyond stages, broadly line with theoretical suggestions regularisation. combination, our findings point towards aperiodic, oscillatory, activity for

Language: Английский

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Ultra-deep proteomics by Thin-diaPASEF with a 60-cm long column system

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 26, 2024

Abstract Recent advances have allowed for the detection of 10,000 proteins from cultured human cell samples, such as HeLa and HEK293T cells in a single-shot proteome analysis. However, deeper analysis remains challenging. Therefore, this study, we aimed to perform deep proteomic using timsTOF HT. To achieve proteomics, developed Thin-diaPASEF, parallel accumulation-serial fragmentation (PASEF) technology featuring thinly divided m/z axis only regions high ion density. Furthermore, 60-cm long C18 column with particle size 1.7 µm, an average 11,698, 11,615 11,019 unique were successfully detected 500 ng HEK293T, K562 digests, respectively, 100 min active gradient. The same system was used analyze Lycopersicon esculentum lectin (LEL) enriched plasma serum. LEL method identified 8,613 4,078 proteins, serum, respectively. Our ultra-deep will be helpful in-depth comparison medical biological research because it enables highly coverage single-shot.

Language: Английский

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Species evolution: cryptic species and phenotypic noise with a particular focus on fungal systematics

Frontiers in Cellular and Infection Microbiology, Journal Year: 2025, Volume and Issue: 15

Published: Feb. 4, 2025

The evolution of a species can be understood in the context two major concepts—the cryptic concept and phenotypic noise concept. former represents morphologically indistinguishable but genetically distinct evolutionary lineages, while latter variations an isogenic population. Although currently general topic, its effect on other aspects biology, such as biodiversity, ecology, taxonomy, is still unclear. In particular, cause complications prevent development clear taxonomy. or plasticity generally refers to various expressions phenotypes different environments. Hence, genetic variations, noises about non-genetic variations. both concepts are opposites, they each contribute significantly process organism. Despite extensive research studies publications discussing those separate accounts, concise account that combines compares lacking. Nevertheless, these essential understand clearly. This review addresses available literature this intending provide overall discussion their evolution, taxonomy with special focus fungal systematics. hence, several case representing presented, compared, discussed for better understanding.

Language: Английский

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Scaling metabolic model reconstruction up to the pan-genome level: A systematic review and prospective applications to photosynthetic organisms

Metabolic Engineering, Journal Year: 2025, Volume and Issue: 90, P. 67 - 77

Published: March 11, 2025

Language: Английский

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Comparative genomic analysis of Microcystis strain diversity using conserved marker genes

Harmful Algae, Journal Year: 2024, Volume and Issue: 132, P. 102580 - 102580

Published: Jan. 11, 2024

Language: Английский

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CyanoStrainChip: A Novel DNA Microarray Tool for High-Throughput Detection of Environmental Cyanobacteria at the Strain Level

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(11), P. 5024 - 5034

Published: March 8, 2024

Detecting cyanobacteria in environments is an important concern due to their crucial roles ecosystems, and they can form blooms with the potential harm humans nonhuman entities. However, most widely used methods for high-throughput detection of environmental cyanobacteria, such as 16S rRNA sequencing, typically provide above-species-level resolution, thereby disregarding intraspecific variation. To address this, we developed a novel DNA microarray tool, termed CyanoStrainChip, that enables strain-level comprehensive profiling cyanobacteria. The CyanoStrainChip was designed target 1277 strains; nearly all major groups are included by implementing 43,666 genome-wide, strain-specific probes. It demonstrated strong specificity vitro mock community experiments. high correlation (Pearson's R > 0.97) between probe fluorescence intensities corresponding amounts (ranging from 1–100 ng) indicated excellent quantitative capability. Consistent cyanobacterial profiles field samples were observed both next-generation sequencing methods. Furthermore, analysis surface water Lake Chaohu uncovered variation abundance change within genus Microcystis different severity levels blooms, highlighting two toxic strains critical harmful suppression. Overall, these results suggest valuable tool ecological research bloom monitoring supplement existing techniques.

Language: Английский

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