Metagenomics Analysis to Investigate the Microbial Communities and Their Functional Profile During Cyanobacterial Blooms in Lake Varese

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Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Sanseverino I, Pretto P, António DC, Lahm A, Facca C, Loos R, Skejo H, Beghi A, Pandolfi F, Genoni P, Lettieri T
Journal
Microbial ecology
Year
2022
Keywords:
Algal bloom, Freshwater, Lyngbya, Metagenomics, Microbial populations, Water quality
Toxic cyanobacterial blooms represent a natural phenomenon caused by a mass proliferation of photosynthetic prokaryotic microorganisms in water environments. Bloom events have been increasingly reported worldwide and their occurrence can pose serious threats to aquatic organisms and human health. In this study, we assessed the microbial composition, with a focus on Cyanobacteria, in Lake Varese, a eutrophic lake located in northern Italy. Water samples were collected and used for obtaining a 16S-based taxonomic profile and performing a shotgun sequencing analysis. The phyla found to exhibit the greatest relative abundance in the lake included Proteobacteria, Cyanobacteria, Actinobacteriota and Bacteroidota. In the epilimnion and at 2.5 × Secchi depth, Cyanobacteria were found to be more abundant compared to the low levels detected at greater depths. The blooms appear to be dominated mainly by the species Lyngbya robusta, and a specific functional profile was identified, suggesting that distinct metabolic processes characterized the bacterial population along the water column. Finally, analysis of the shotgun data also indicated the presence of a large and diverse phage population.

Experiment 1


Needs review

Curated date: 2023/11/17

Curator: Davvve

Revision editor(s): Davvve, Imaspecial, Chloe

Subjects

Location of subjects
Italy
Host species Species from which microbiome was sampled. Contact us to have more species added.
Not specified
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Space surrounding organism External to organism,Outside of body,Space surrounding organism,space surrounding organism
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Environmental factor environment factor,Environmental factor,environmental factor
Group 0 name Corresponds to the control (unexposed) group for case-control studies
No healthy samples
Group 1 name Corresponds to the case (exposed) group for case-control studies
2017 samples
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
2017 samples are samples obtained from the three river depths(Meso, Secchi, and surface depth) during the cyanobacterial bloom in 2017.
Group 1 sample size Number of subjects in the case (exposed) group
3
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
non

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
Matched on Factors on which subjects have been matched on in a case-control study
Matched on: "depth" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.depth
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
Confounders controlled for: "depth" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.depth

Alpha Diversity

Pielou Quantifies how equal the community is numerically
decreased
Shannon Estimator of species richness and species evenness: more weight on species richness
decreased
Chao1 Abundance-based estimator of species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
decreased
Richness Number of species
decreased
Faith Phylogenetic diversity, takes into account phylogenetic distance of all taxa identified in a sample
decreased

Signature 1

Needs review

Curated date: 2024/03/07

Curator: Imaspecial

Revision editor(s): Imaspecial

Source: Figure 3

Description: Taxonomic analysis at the phylum level showed that, in most of the samples, Proteobacteria was the predominant taxonomic group followed by Actinobacteriota, Cyanobacteria and Bacteroidota .

Abundance in Group 1: increased abundance in 2017 samples

NCBI Quality ControlLinks
ProteobacteriaProteobacteria

Revision editor(s): Imaspecial