Genotyping and Multivariate Regression Trees Reveal Ecological Diversification within the Microcystis aeruginosa Complex along a Wide Environmental Gradient-Reference-Cited by-同舟云学术

Genotyping and Multivariate Regression Trees Reveal Ecological Diversification within the Microcystis aeruginosa Complex along a Wide Environmental Gradient

Published:2022-02-08 Issue:3 Volume:88 Page:
ISSN:0099-2240
Container-title:Applied and Environmental Microbiology
language:en
Short-container-title:Appl Environ Microbiol

Author:

Martínez de la Escalera Gabriela¹,Segura Angel M.²,Kruk Carla²³,Ghattas Badih⁴,Cohan Frederick M.⁵,Iriarte Andrés⁶,Piccini Claudia¹^ORCID

Affiliation:

1. Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Montevideo, Uruguay

2. Modelización Estadística de Datos e Inteligencia Artificial, CURE-Rocha, Universidad de la República, Rocha, Uruguay

3. Limnología, IECA, Facultad de Ciencias, Universidad de la República, Rocha, Uruguay

4. Institut de Mathématiques de Marseille, Aix-Marseille University, Marseille, France

5. Department of Biology, Wesleyan University, Middletown, Connecticut, USA

6. Laboratorio de Biología Computacional, Departamento de Desarrollo Biotecnológico, Instituto de Higiene, Facultad de Medicina, Montevideo, Uruguay

Abstract

Organisms of the Microcystis aeruginosa complex form harmful algal blooms (HABs) in nutrient-rich water bodies worldwide. MAC HABs are difficult to manage owing to the production of potent toxins (microcystins) that resist water treatment.

Funder

Programa para el Desarrollo de las Ciencias Básicas

Proyecto ECOS

Agencia Nacional de Investigación e Innovación

Publisher

American Society for Microbiology

Subject

Ecology,Applied Microbiology and Biotechnology,Food Science,Biotechnology

Link

https://journals.asm.org/doi/pdf/10.1128/aem.01475-21

Reference99 articles.

1. Generalist species drive microbial dispersion and evolution