Cargando…

Statistical Inferences Applying Non-Parametric Data on Cyanobacterial Investigations: Contributions to Water Quality and New Trends under Global Changes on Portuguese Freshwater Ecosystems

Cyanobacteria are a bloom-forming ancient group of photosynthetic prokaryotes. A rise in temperature is a major contributor to its massive proliferation, namely on freshwater ecosystems, with social and economic impacts. Thus, reliable and cost-effective tools can permit the fast surveillance and as...

Descripción completa

Detalles Bibliográficos
Autores principales: Moreira, Cristiana, Matos, Ana, Barreiro, Aldo, Gomes, Cidália, Vasconcelos, Vitor, Antunes, Agostinho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506200/
https://www.ncbi.nlm.nih.gov/pubmed/36136576
http://dx.doi.org/10.3390/toxins14090638
_version_ 1784796663755309056
author Moreira, Cristiana
Matos, Ana
Barreiro, Aldo
Gomes, Cidália
Vasconcelos, Vitor
Antunes, Agostinho
author_facet Moreira, Cristiana
Matos, Ana
Barreiro, Aldo
Gomes, Cidália
Vasconcelos, Vitor
Antunes, Agostinho
author_sort Moreira, Cristiana
collection PubMed
description Cyanobacteria are a bloom-forming ancient group of photosynthetic prokaryotes. A rise in temperature is a major contributor to its massive proliferation, namely on freshwater ecosystems, with social and economic impacts. Thus, reliable and cost-effective tools can permit the fast surveillance and assessment of temperature effects on potentially toxic cyanobacteria distribution and impacts. The occurrence of three potentially toxic cyanobacteria species was assessed on seven sampling points across three sampling years. Moreover, the association between the occurrence of those cyanobacteria species with climate change events was addressed. Here, we combined molecular and statistical methods to study the impacts of temperature on the occurrence of three globally occurring cyanotoxin-producing cyanobacteria species—Microcystis aeruginosa (microcystins), Raphidiopsis raciborskii (cylindrospermopsins and saxitoxins) and Planktothrix agardhii (microcystins and saxitoxins). Samples were collected on seven European temperate freshwater systems located on the North and Centre regions of Portugal, across three distinct sampling years with distinct ranges of air temperature. Data support that M. aeruginosa is still a common inhabitant of Portuguese freshwater ecosystems and a new trend was found on R. raciborskii recent invasion and establishment on the colder north ecosystems of Portugal. Additionally, the highest frequency of detection of both cyanobacteria was associated with warmer years. P. agardhii also revealed a new trend, being reported for the first time on North and Centre Regions of Portugal, however with no statistical relation with air temperature, demonstrating a higher ecological fitness. Distinct profiles of the statistical analysis on the three tested cyanobacteria species contribute to deepen the studies on other species as well as of our analyzed species on a global level. This assessment may help to anticipate possible repercussions on water quality and public health due to most probable alterations on cyanotoxins profile given the ecological fitness established among air temperature and PCR detection of potentially toxic cyanobacteria.
format Online
Article
Text
id pubmed-9506200
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95062002022-09-24 Statistical Inferences Applying Non-Parametric Data on Cyanobacterial Investigations: Contributions to Water Quality and New Trends under Global Changes on Portuguese Freshwater Ecosystems Moreira, Cristiana Matos, Ana Barreiro, Aldo Gomes, Cidália Vasconcelos, Vitor Antunes, Agostinho Toxins (Basel) Article Cyanobacteria are a bloom-forming ancient group of photosynthetic prokaryotes. A rise in temperature is a major contributor to its massive proliferation, namely on freshwater ecosystems, with social and economic impacts. Thus, reliable and cost-effective tools can permit the fast surveillance and assessment of temperature effects on potentially toxic cyanobacteria distribution and impacts. The occurrence of three potentially toxic cyanobacteria species was assessed on seven sampling points across three sampling years. Moreover, the association between the occurrence of those cyanobacteria species with climate change events was addressed. Here, we combined molecular and statistical methods to study the impacts of temperature on the occurrence of three globally occurring cyanotoxin-producing cyanobacteria species—Microcystis aeruginosa (microcystins), Raphidiopsis raciborskii (cylindrospermopsins and saxitoxins) and Planktothrix agardhii (microcystins and saxitoxins). Samples were collected on seven European temperate freshwater systems located on the North and Centre regions of Portugal, across three distinct sampling years with distinct ranges of air temperature. Data support that M. aeruginosa is still a common inhabitant of Portuguese freshwater ecosystems and a new trend was found on R. raciborskii recent invasion and establishment on the colder north ecosystems of Portugal. Additionally, the highest frequency of detection of both cyanobacteria was associated with warmer years. P. agardhii also revealed a new trend, being reported for the first time on North and Centre Regions of Portugal, however with no statistical relation with air temperature, demonstrating a higher ecological fitness. Distinct profiles of the statistical analysis on the three tested cyanobacteria species contribute to deepen the studies on other species as well as of our analyzed species on a global level. This assessment may help to anticipate possible repercussions on water quality and public health due to most probable alterations on cyanotoxins profile given the ecological fitness established among air temperature and PCR detection of potentially toxic cyanobacteria. MDPI 2022-09-15 /pmc/articles/PMC9506200/ /pubmed/36136576 http://dx.doi.org/10.3390/toxins14090638 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moreira, Cristiana
Matos, Ana
Barreiro, Aldo
Gomes, Cidália
Vasconcelos, Vitor
Antunes, Agostinho
Statistical Inferences Applying Non-Parametric Data on Cyanobacterial Investigations: Contributions to Water Quality and New Trends under Global Changes on Portuguese Freshwater Ecosystems
title Statistical Inferences Applying Non-Parametric Data on Cyanobacterial Investigations: Contributions to Water Quality and New Trends under Global Changes on Portuguese Freshwater Ecosystems
title_full Statistical Inferences Applying Non-Parametric Data on Cyanobacterial Investigations: Contributions to Water Quality and New Trends under Global Changes on Portuguese Freshwater Ecosystems
title_fullStr Statistical Inferences Applying Non-Parametric Data on Cyanobacterial Investigations: Contributions to Water Quality and New Trends under Global Changes on Portuguese Freshwater Ecosystems
title_full_unstemmed Statistical Inferences Applying Non-Parametric Data on Cyanobacterial Investigations: Contributions to Water Quality and New Trends under Global Changes on Portuguese Freshwater Ecosystems
title_short Statistical Inferences Applying Non-Parametric Data on Cyanobacterial Investigations: Contributions to Water Quality and New Trends under Global Changes on Portuguese Freshwater Ecosystems
title_sort statistical inferences applying non-parametric data on cyanobacterial investigations: contributions to water quality and new trends under global changes on portuguese freshwater ecosystems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506200/
https://www.ncbi.nlm.nih.gov/pubmed/36136576
http://dx.doi.org/10.3390/toxins14090638
work_keys_str_mv AT moreiracristiana statisticalinferencesapplyingnonparametricdataoncyanobacterialinvestigationscontributionstowaterqualityandnewtrendsunderglobalchangesonportuguesefreshwaterecosystems
AT matosana statisticalinferencesapplyingnonparametricdataoncyanobacterialinvestigationscontributionstowaterqualityandnewtrendsunderglobalchangesonportuguesefreshwaterecosystems
AT barreiroaldo statisticalinferencesapplyingnonparametricdataoncyanobacterialinvestigationscontributionstowaterqualityandnewtrendsunderglobalchangesonportuguesefreshwaterecosystems
AT gomescidalia statisticalinferencesapplyingnonparametricdataoncyanobacterialinvestigationscontributionstowaterqualityandnewtrendsunderglobalchangesonportuguesefreshwaterecosystems
AT vasconcelosvitor statisticalinferencesapplyingnonparametricdataoncyanobacterialinvestigationscontributionstowaterqualityandnewtrendsunderglobalchangesonportuguesefreshwaterecosystems
AT antunesagostinho statisticalinferencesapplyingnonparametricdataoncyanobacterialinvestigationscontributionstowaterqualityandnewtrendsunderglobalchangesonportuguesefreshwaterecosystems