The use of advanced and emerging technologies for adaptive ecosystem-based management of the Great Lakes DOI
Edward M. Verhamme, John F. Bratton, Jay A. Austin

et al.

Aquatic Ecosystem Health & Management, Journal Year: 2024, Volume and Issue: 27(2), P. 96 - 107

Published: April 1, 2024

Abstract The Great Lakes and connecting waters encompass a vast diverse ecosystem that presents scale challenges for management similar to those of the coastal ocean. Technological approaches overcome have primarily been adapted from oceanographic applications technologies, upscaling inland lake methods designed shallower calmer water bodies. Many standard studying habitat biota long lag times between field collection data availability. also miss much dynamics, three-dimensional complexity, spatial variability needed manage system effectively. Even baseline conditions are not well characterized many parts (e.g. bathymetry critical habitat, life cycles food webs, night winter movement activity organisms). Emerging technologies beginning address these needs but require coordination, consistent investment, training, governance linkages. Here we survey recent technological advances show how they contributing improved adaptive by reducing uncertainty increasing understanding physical, biological, chemical processes, human dimensions resource restoration.

Language: Английский

Metagenomics reveals spatial variation in cyanobacterial composition, function, and biosynthetic potential in the Winam Gulf, Lake Victoria, Kenya DOI Creative Commons
Lauren Hart, Brittany N. Zepernick,

Kaela E. Natwora

et al.

Applied and Environmental Microbiology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

ABSTRACT The Winam Gulf in the Kenyan region of Lake Victoria experiences prolific, year-round cyanobacterial harmful algal blooms (cyanoHABs) which pose threats to human, livestock, and ecosystem health. To our knowledge, there is limited molecular research on gulf’s cyanoHABs, thus, strategies employed for survival proliferation by toxigenic cyanobacteria this remain largely unexplored. Here, we used metagenomics analyze Gulf’s composition, function, biosynthetic potential. Dolichospermum was dominant bloom-forming cyanobacterium, co-occurring with Microcystis at most sites. Planktothrix were more abundant shallow turbid Metagenome-assembled genomes (MAGs) harbored nitrogen fixation genes, suggesting diazotrophy as a potential mechanism supporting nitrogen-limited gulf. Over 300 gene clusters (BGCs) putatively encoding synthesis toxins other secondary metabolites identified across gulf, even sites where no visible cyanoHAB events. Almost all BGCs had known product, indicating diverse novel repertoire capable synthesizing or potentially therapeutic metabolites. MAGs contained mcy genes hepatotoxic microcystins are concern drinking water safety. These findings illustrate spatial variation their available dominate different ecological niches. This study underscores need further use genomic techniques elucidate dynamics mitigate effects cyanoHABs associated environmental, economic

Language: Английский

Citations

0
Toward a Predictive Understanding of Cyanobacterial Harmful Algal Blooms through AI Integration of Physical, Chemical, and Biological Data DOI Creative Commons
Babetta L. Marrone, Shounak Banerjee, Anjana Talapatra

et al.

ACS ES&T Water, Journal Year: 2023, Volume and Issue: 4(3), P. 844 - 858

Published: Nov. 30, 2023

Freshwater cyanobacterial harmful algal blooms (cyanoHABs) are a worldwide problem resulting in substantial economic losses, due to harm drinking water supplies, commercial fishing, wildlife, property values, recreation, and tourism. Moreover, toxins produced from some cyanoHABs threaten human animal health. Climate warming can affect the distribution of cyanoHABs, where rising temperatures facilitate more intense greater inland freshwater. Nutrient runoff adjacent watersheds is also major driver cyanoHAB formation. While physicochemical factors behind dynamics known, there still gaps our understanding conditions that trigger sustain over time. In this perspective, we suggest sufficient data sets, as well machine learning (ML) artificial intelligence (AI) tools, available build comprehensive model based on integrated environmental/climate, nutrient/water chemistry, microbiome 'omics identify key contributing HAB formation, intensity, toxicity. By taking holistic approach analysis all data, including rapidly growing number biological provide foundational knowledge needed address increasing threat security resources.

Language: Английский

Citations

9
Comparative genomic analysis of Microcystis strain diversity using conserved marker genes DOI
E. Anders Kiledal, Laura A. Reitz, Esmée Q. Kuiper

et al.

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

Published: Jan. 11, 2024

Language: Английский

Citations

3
Metabologenomics reveals strain-level genetic and chemical diversity of Microcystis secondary metabolism DOI Creative Commons
Colleen E. Yancey, Lauren Hart,

Sierra Hefferan

et al.

mSystems, Journal Year: 2024, Volume and Issue: 9(7)

Published: June 25, 2024

ABSTRACT Microcystis spp. are renowned for producing the hepatotoxin microcystin in freshwater cyanobacterial harmful algal blooms around world, threatening drinking water supplies and public environmental health. However, genomes also harbor numerous biosynthetic gene clusters (BGCs) encoding biosynthesis of other secondary metabolites, including many with toxic properties. Most these BGCs uncharacterized currently lack links to products. recent field studies show that abundant transcriptionally active natural communities, suggesting potentially important yet unknown roles bloom ecology quality. Here, we analyzed 21 xenic cultures isolated from western Lake Erie investigate diversity potential this genus. Through metabologenomic silico approaches, strains contain variable BGCs, previously observed populations, encode distinct metabolomes across cultures. Additionally, find majority metabolites uncharacterized, highlighting our limited understanding chemical repertoire Due complex culture, which a wealth diverse congeners as well results underscore need deeply explore identify produced by beyond microcystins assess their impacts on human IMPORTANCE The genus forms dense (cyanoHABs) can produce toxin microcystin, has been responsible crises world. While great concern, produces an abundance may be interest due toxicity, ecological importance, or pharmaceutical applications. In study, combine genomic metabolomic approaches study genes Western Culture Collection. This unique collection comprises were directly Erie, experiences substantial cyanoHAB events annually had negative water, tourism, industry.

Language: Английский

Citations

2
The use of advanced and emerging technologies for adaptive ecosystem-based management of the Great Lakes DOI
Edward M. Verhamme, John F. Bratton, Jay A. Austin

et al.

Aquatic Ecosystem Health & Management, Journal Year: 2024, Volume and Issue: 27(2), P. 96 - 107

Published: April 1, 2024

Abstract The Great Lakes and connecting waters encompass a vast diverse ecosystem that presents scale challenges for management similar to those of the coastal ocean. Technological approaches overcome have primarily been adapted from oceanographic applications technologies, upscaling inland lake methods designed shallower calmer water bodies. Many standard studying habitat biota long lag times between field collection data availability. also miss much dynamics, three-dimensional complexity, spatial variability needed manage system effectively. Even baseline conditions are not well characterized many parts (e.g. bathymetry critical habitat, life cycles food webs, night winter movement activity organisms). Emerging technologies beginning address these needs but require coordination, consistent investment, training, governance linkages. Here we survey recent technological advances show how they contributing improved adaptive by reducing uncertainty increasing understanding physical, biological, chemical processes, human dimensions resource restoration.

Language: Английский

Citations

0