Evidence map›Paper›PMID 34818109›Full record

ArticleApplied and environmental microbiology2022

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

Gabriela Martínez de la Escalera, Angel M Segura, Carla Kruk, Badih Ghattas, Frederick M Cohan, Andrés Iriarte, Claudia Piccini

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Gabriela Martínez de la EscaleraDepartamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Montevideo, Uruguay.
Angel M SeguraModelización Estadística de Datos e Inteligencia Artificial, CURE-Rocha, Universidad de la República, Rocha, Uruguay.
Carla KrukModelización Estadística de Datos e Inteligencia Artificial, CURE-Rocha, Universidad de la República, Rocha, Uruguay.
Badih GhattasInstitut de Mathématiques de Marseille, Aix-Marseille University, Marseille, France.
Frederick M CohanDepartment of Biology, Wesleyan Universitygrid.268117.b, Middletown, Connecticut, USA.
Andrés IriarteLaboratorio de Biología Computacional, Departamento de Desarrollo Biotecnológico, Instituto de Higiene, Facultad de Medicina, Montevideo, Uruguay.
Claudia PicciniDepartamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Montevideo, Uruguay.ORCID 0000-0002-2762-1953
Instituto de Investigaciones Biológicas Clemente Estable · UYUniversidad de la República de Uruguay · UYAix-Marseille Université · FRWesleyan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing the ecological and evolutionary processes underlying biodiversity patterns is essential to identify the mechanisms shaping community structure and function. In bacteria, the formation of new ecologically distinct populations (ecotypes) is proposed as one of the main drivers of diversification. New ecotypes arise when mutations in key functional genes or acquisition of new metabolic pathways by horizontal gene transfer allow the population to exploit new resources, permitting their coexistence with the parental population. We previously reported the presence of microcystin-producing organisms of the Microcystis aeruginosa complex (toxic MAC) through an 800-km environmental gradient ranging from freshwater to estuarine-marine waters in South America. We hypothesize that the success of toxic MAC in such a gradient is due to the existence of very closely related populations that are ecologically distinct (ecotypes), each specialized to a specific arrangement of environmental variables. Here, we analyzed toxic MAC genetic diversity through quantitative PCR (qPCR) and high-resolution melting analysis (HRMA) of a functional gene (

Indexed as

MicrocystisBiodiversityFresh WaterGenotypeHarmful Algal BloomMicrocystinsMicrocystinsecotypesHRMAmcyJMicrocystis aeruginosa complexmultivariate CART

Identifiers

PMID34818109
PMCPMC8824264
OpenAlexW3215584205

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.